{"id":"W6902190148","doi":"10.6084/m9.figshare.28396632.v1","title":"Additional file 2 of A hybrid machine learning framework for functional annotation of mitochondrial glutathione transport and metabolism proteins in cancers","year":2025,"lang":"en","type":"article","venue":"Figshare","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; University of Ottawa","funders":"","keywords":"Annotation; Supervised learning; Metabolism; Mitochondrion; Support vector machine","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":[0.001551696,0.001522263,0.001627289,0.002826076,0.0009808934,0.001748227,0.002655951,0.001643048,0.7962263],"category_scores_gemma":[0.01546186,0.0007337519,0.00155819,0.003699779,0.0004176511,0.00169001,0.001404848,0.001438116,0.1748761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00106133,"about_ca_system_score_gemma":0.001577128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004338531,"about_ca_topic_score_gemma":0.007961837,"domain_scores_codex":[0.9993204,0.0001105826,0.00009100598,0.0002213664,0.0001510781,0.0001055942],"domain_scores_gemma":[0.9884216,0.00917419,0.0004350369,0.0006361819,0.0009332594,0.0003997619],"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":[0.0006641263,0.0001115321,0.002008566,0.004470337,0.000119992,0.0001671189,0.00007799845,0.0009297473,0.0008871022,0.001254065,0.9760638,0.01324562],"study_design_scores_gemma":[0.005161893,0.0003569016,0.02392696,0.002339039,0.000457656,0.00114847,0.0002826514,0.005723473,0.004330113,0.02108932,0.9349309,0.0002525661],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0002104986,0.00004154541,0.0009853725,0.00008710074,0.00003213331,0.00004765123,0.9964385,0.001478906,0.0006783697],"genre_scores_gemma":[0.006744805,0.000160712,0.008671919,0.0003718877,0.00008576435,0.0009180211,0.976386,0.002232834,0.004428102],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7962263,"threshold_uncertainty_score":0.2906584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008491494647390456,"score_gpt":0.2372374522927996,"score_spread":0.2287459576454091,"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."}}