{"id":"W4416648803","doi":"10.2196/77276","title":"Not relevant (Preprint)","year":2025,"lang":"en","type":"article","venue":"JMIR Bioinformatics and Biotechnology","topic":"Academic Publishing and Open Access","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001828179,0.0001256599,0.0002662229,0.00065571,0.0001802515,0.0005820129,0.001587481,0.0005628604,0.00005099964],"category_scores_gemma":[0.002521345,0.00008248473,0.0000511963,0.001049757,0.0002868473,0.0005952817,0.001169923,0.0005066238,0.0001992919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000226363,"about_ca_system_score_gemma":0.00006889116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001384877,"about_ca_topic_score_gemma":0.000006960093,"domain_scores_codex":[0.9982996,0.00002676364,0.0007445173,0.0002780809,0.0003879275,0.0002631398],"domain_scores_gemma":[0.9986007,0.0003461182,0.0002282246,0.0006616475,0.00010576,0.0000575764],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001992422,0.00002014506,0.00224742,0.0000184428,0.00001569417,0.000001998762,0.000253637,0.000003837702,0.0004449989,0.1515176,0.06474233,0.780714],"study_design_scores_gemma":[0.0005164829,0.00006740813,0.007457752,0.00005468335,0.000007841442,0.00003281086,0.002456448,0.02665583,0.01137783,0.09570577,0.8554166,0.0002505523],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6815772,0.0003537642,0.05273626,0.1545869,0.001176332,0.001011535,0.00004198039,0.000613185,0.1079028],"genre_scores_gemma":[0.985912,0.0002113331,0.006407169,0.003411222,0.00002239878,0.00002383974,0.000002953921,0.000004261017,0.004004783],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7906743,"threshold_uncertainty_score":0.5612363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03447565570329521,"score_gpt":0.3633345579042377,"score_spread":0.3288589022009425,"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."}}