Configuration

3mer_random_forest

Source random-forest comparator on k-mer counts; frame-aware variants count motifs separately by reading frame. All use fixed-length training.

2 evaluations · 2 results

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Evaluations and results

2 evaluations · 2 results. Different protocols are not a single leaderboard.

Sorted by Pearson (higher is better). The best value in each column is highlighted. Decimals are rounded for display; each value links to the printed value and its source.

Tested configuration	Protocol and dataset	Pearson
3mer_random_forestEvaluation	FramePool study MRL: Random 50nt, Sample MPRA Random 50nt	0.732 (best in column)
3mer_random_forestEvaluation	FramePool study MRL: Random 25-100nt, Sample MPRA Random 25-100nt	0.616

All 2 result rows with coverage, uncertainty and sources

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Tested model or methodProtocolDatasetEvaluation setupMetricEvidence origin

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Exact evaluated configurations and original reported results
Tested configuration	Protocol and dataset	Finding	Evidence and details
Configuration: 3mer_random_forest	Protocol: FramePool study MRL: Random 25-100nt Dataset subset: Sample MPRA Random 25-100nt	0.616 Pearson unitless · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source 3mer_random_forest random-25-100nt Not reported Aggregation: Not reported FramePool 2021 primary article; FramePool Supplementary Table S4 · S4 Table cell C2; row 3mer_random_forest; S7–S8 MPRA correlation plots
Configuration: 3mer_random_forest	Protocol: FramePool study MRL: Random 50nt Dataset subset: Sample MPRA Random 50nt	0.732 Pearson unitless · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source 3mer_random_forest random-50nt Not reported Aggregation: Not reported FramePool 2021 primary article; FramePool Supplementary Table S4 · S4 Table cell B2; row 3mer_random_forest; S7–S8 MPRA correlation plots

Source checking is not independent reproduction. Release 2026-11-02-a7f03c9e55a5.

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Related profile: k-mer count random forest. This page retains the exact record and its evaluation context.

Evidence

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Evidence table

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4 evidence rows matching the loaded filters

Claims, original sources and review scope · Release 2026-11-02-a7f03c9e55a5
Property and statement	Original source and location	Review and provenance
Facets: method types 1 values supervised_machine_learning Individual claims	FramePool 2021 primary article Original source ↗ FramePool Methods: "we also trained random forest models which use k-mer counts as input features" Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: 2021 journal article XML; PMC8136849.1 Retrieved: 2026-09-30	conflicting claim ["source-hash-verification","automated-source-review"] · 2026-10-12 Audit details Correct the method type from none to supervised_machine_learning (use-case baseline review 2026-10-12, table 1). Evidence from docs/reviews/use-cases/baselines-2026-10-12.md. Independent review 2026-10-12: approved. See docs/reviews/2026-10-12-method-type-corrections.md. Conflicting source claim: `"[\"supervised_machine_learning\"]"`. Claim record status: source_checked. Field: `facets.method_types` Claim: metadata-correction-tags-20261012-ed9b252a3c0b0aec4574 Source artifact SHA-256: `689af3ecab7b5a928eacc5a76d965960708cbb253fc7cdeae463b16d30ffd2e3` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact Extraction artifact SHA-256: `689af3ecab7b5a928eacc5a76d965960708cbb253fc7cdeae463b16d30ffd2e3` Extraction artifact
Facets: method types 1 values supervised_machine_learning Individual claims	FramePool Supplementary Table S4 Original source ↗ FramePool Methods: "we also trained random forest models which use k-mer counts as input features" Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: 2021 published S4 XLSX Retrieved: 2026-09-30	conflicting claim ["source-hash-verification","automated-source-review"] · 2026-10-12 Audit details Correct the method type from none to supervised_machine_learning (use-case baseline review 2026-10-12, table 1). Evidence from docs/reviews/use-cases/baselines-2026-10-12.md. Independent review 2026-10-12: approved. See docs/reviews/2026-10-12-method-type-corrections.md. Conflicting source claim: `"[\"supervised_machine_learning\"]"`. Claim record status: source_checked. Field: `facets.method_types` Claim: metadata-correction-tags-20261012-ed9b252a3c0b0aec4574 Source artifact SHA-256: `38659a19f65ad0b64186d5bed88977c7d730f08ebdd38e323c908bea14cbbd89` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact Extraction artifact SHA-256: `689af3ecab7b5a928eacc5a76d965960708cbb253fc7cdeae463b16d30ffd2e3` Extraction artifact
Relationship: configuration of uc20260930-method-k-mer-count-random-forest Individual claims	FramePool 2021 primary article Original source ↗ S1/S4 Table; Methods Framepool model and Model training; S7–S8 figure captions Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: 2021 journal article XML; PMC8136849.1 Retrieved: 2026-09-30	source checked ["automated-source-review"] · 2026-09-30T21:40:59.576893+00:00 Audit details Field: `links:configuration_of:uc20260930-method-k-mer-count-random-forest` Claim: uc20260930-config-family-4eda074ac81abca0 Source artifact SHA-256: `689af3ecab7b5a928eacc5a76d965960708cbb253fc7cdeae463b16d30ffd2e3` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
Relationship: configuration of uc20260930-method-k-mer-count-random-forest Individual claims	FramePool Supplementary Table S4 Original source ↗ S1/S4 Table; Methods Framepool model and Model training; S7–S8 figure captions Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: 2021 published S4 XLSX Retrieved: 2026-09-30	source checked ["automated-source-review"] · 2026-09-30T21:40:59.576893+00:00 Audit details Field: `links:configuration_of:uc20260930-method-k-mer-count-random-forest` Claim: uc20260930-config-family-4eda074ac81abca0 Source artifact SHA-256: `38659a19f65ad0b64186d5bed88977c7d730f08ebdd38e323c908bea14cbbd89` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact

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Sources and history

Release 2026-11-02-a7f03c9e55a5 · Record review: source checked

2 source records and release history

FramePool 2021 primary article · Original source · 2021 journal article XML; PMC8136849.1
FramePool Supplementary Table S4 · Original source · 2021 published S4 XLSX

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Technical metadata and extraction receipts

Stable ID: uc20260930-framepool-config-3mer-random-forest

areas: rna-transcriptomes
method types: supervised_machine_learning
source locator: See linked evaluation and result locators
missing metadata: checkpoint hash: reason: unextracted
review: method: automated-source-review; reviewer: codex; reviewed at: 2026-09-30T21:40:59.576893+00:00; scope: Primary-source transcription and catalogue applicability audit; not human scientific review or independent experimental reproduction.; reviewer note: role: experimental use-case curation

Related records

configuration of: k-mer count random forest
subject: 3mer_random_forest: facets.method_types
subject: 3mer_random_forest family identity
implemented by: 3mer_random_forest MRL comparator
system: 3mer_random_forest random-25-100nt
system: 3mer_random_forest random-50nt

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