{"id":"W6939815384","doi":"10.6084/m9.figshare.26595146","title":"Additional file 1 of Rescuing biologically relevant consensus regions across replicated samples","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Centre hospitalier universitaire de Québec","funders":"","keywords":"Matching (statistics); Data file; Identification (biology); Sample (material); Replication (statistics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003204932,0.00199929,0.002222684,0.004152553,0.002291762,0.002177233,0.003043756,0.001609751,0.8213977],"category_scores_gemma":[0.02715512,0.001240855,0.001575959,0.004754493,0.0005784731,0.001651763,0.001354373,0.002093378,0.2410051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001389271,"about_ca_system_score_gemma":0.002888944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00700108,"about_ca_topic_score_gemma":0.01693644,"domain_scores_codex":[0.9982342,0.0003055764,0.0002021282,0.0005569847,0.0004513444,0.000249775],"domain_scores_gemma":[0.9708396,0.02241071,0.000912198,0.002732936,0.002471951,0.0006326226],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004321441,0.000143166,0.001882803,0.002917255,0.0001239162,0.0001130727,0.0001155648,0.000927842,0.00209982,0.001242031,0.9788818,0.01112058],"study_design_scores_gemma":[0.005395478,0.0004555433,0.03140173,0.001930157,0.0005693863,0.001235183,0.0004674035,0.006027374,0.009910604,0.01683074,0.9254106,0.0003658387],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002785214,0.00003730333,0.001898983,0.00005995433,0.00006565639,0.00008430955,0.9951124,0.001361281,0.001101699],"genre_scores_gemma":[0.005636656,0.00009336786,0.01057933,0.0004124965,0.00007427065,0.001309386,0.9728724,0.002749328,0.006272862],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8213977,"threshold_uncertainty_score":0.2547545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05805923039316162,"score_gpt":0.3042481729986831,"score_spread":0.2461889426055215,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}