{"id":"W6930129267","doi":"10.5281/zenodo.14202073","title":"Robust Multi-Model Subset Selection","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Developmental Biology and Gene Regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Selection (genetic algorithm); Replicate; Expression (computer science); Feature selection; Set (abstract data type); Class (philosophy)","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":[],"consensus_categories":[],"category_scores_codex":[0.002525533,0.001584279,0.001123177,0.001032786,0.0004299185,0.0009646096,0.002018728,0.0007763115,0.08964662],"category_scores_gemma":[0.00861284,0.0008376772,0.001374859,0.0009093718,0.0002414118,0.0006486913,0.000826164,0.00126202,0.0314866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004727535,"about_ca_system_score_gemma":0.001169365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003183621,"about_ca_topic_score_gemma":0.004375015,"domain_scores_codex":[0.9993673,0.0002640301,0.00005169383,0.000122808,0.0001467387,0.00004737715],"domain_scores_gemma":[0.9961844,0.002477413,0.0001315057,0.0006579633,0.0004657519,0.00008294049],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001009198,0.0003129576,0.00454126,0.001132859,0.0007340942,0.0005073529,0.000174853,0.2679484,0.007345316,0.02142388,0.4862492,0.2086206],"study_design_scores_gemma":[0.0004125145,0.0001095403,0.001422181,0.0000582248,0.000105811,0.0001742145,0.00003513131,0.8903695,0.009729177,0.02172179,0.07580104,0.00006091301],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008811495,0.0002464919,0.7337542,0.0002600598,0.0001986422,0.0003893552,0.07231288,0.1737291,0.01029766],"genre_scores_gemma":[0.1235091,0.0003554577,0.6230341,0.0003836288,0.0001404307,0.002488486,0.1772408,0.05801241,0.01483548],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.08964662,"threshold_uncertainty_score":0.2998978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03803577081194918,"score_gpt":0.2518264251951773,"score_spread":0.2137906543832282,"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."}}