{"id":"W4394393832","doi":"10.6084/m9.figshare.12630284","title":"CHACUBA - Supplementary Table 4","year":2020,"lang":"en","type":"supplementary-materials","venue":"Figshare","topic":"Mitochondrial Function and Pathology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Table (database); Computer science; Database","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001239385,0.001198788,0.001073223,0.006074076,0.001874375,0.001585437,0.002248963,0.0007550508,0.5648502],"category_scores_gemma":[0.008093761,0.000564229,0.0007336012,0.008049242,0.0003769164,0.000686436,0.0008675101,0.00116891,0.09483402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002203323,"about_ca_system_score_gemma":0.003712461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2526945,"about_ca_topic_score_gemma":0.4155013,"domain_scores_codex":[0.9991722,0.00008423241,0.00005198181,0.0002604328,0.0002277763,0.0002035298],"domain_scores_gemma":[0.9961289,0.001416056,0.0002460981,0.0005132019,0.001298872,0.0003969431],"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":[0.0002516211,0.00006847338,0.0098122,0.0005921336,0.0001201683,0.0000757372,0.0001290223,0.0001737966,0.0005099633,0.001589968,0.9722477,0.01442923],"study_design_scores_gemma":[0.000329293,0.0000484332,0.08566476,0.0004501708,0.0001375306,0.0002680341,0.0002547043,0.0003108317,0.0006248364,0.002631204,0.9092163,0.00006380964],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.002033166,0.0001963398,0.0004930466,0.0001118165,0.0001532891,0.00004310222,0.9895759,0.0005018914,0.006891414],"genre_scores_gemma":[0.0131776,0.0002788601,0.003024682,0.0002445929,0.00008065711,0.000274125,0.958752,0.0009106747,0.02325689],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5648502,"threshold_uncertainty_score":0.6206884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02738941615915705,"score_gpt":0.260875814265487,"score_spread":0.23348639810633,"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."}}