{"id":"W4206995479","doi":"10.1016/j.urology.2019.12.055","title":"AUTHOR REPLY","year":2020,"lang":"en","type":"letter","venue":"Urology","topic":"Cardiac, Anesthesia and Surgical Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Toronto General Hospital; Princess Margaret Cancer Centre","funders":"","keywords":"Medicine; Selection (genetic algorithm); General surgery; Artificial intelligence","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":[0.005618483,0.001035223,0.002078365,0.001445478,0.01005623,0.00988728,0.002828918,0.1041482,0.0207338],"category_scores_gemma":[0.04453382,0.001313996,0.001859488,0.001146838,0.003818072,0.004570422,0.00481629,0.0615083,0.01489146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007883566,"about_ca_system_score_gemma":0.01508409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01723094,"about_ca_topic_score_gemma":0.02869101,"domain_scores_codex":[0.9933014,0.001278712,0.0007411705,0.000983251,0.001767801,0.001927761],"domain_scores_gemma":[0.9840266,0.006508013,0.001184151,0.0004481732,0.003570705,0.004262393],"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":[0.00002004418,0.00001072647,0.0004501921,0.00003095239,0.00001185571,0.0009645587,0.000186161,0.00002657158,0.0000524906,0.001455951,0.9947849,0.002005582],"study_design_scores_gemma":[0.00007363549,0.00003300326,0.001294597,0.000434214,0.00004049085,0.001523463,0.001258049,0.0002072312,0.0001661712,0.0061335,0.9887256,0.0001099378],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.0002403733,0.0006344671,0.00004500215,0.9628315,0.03316581,0.00001301411,0.00005964938,0.00002097992,0.002989209],"genre_scores_gemma":[0.001097866,0.0002492339,0.00004721978,0.9798632,0.01086514,0.00002552927,0.00001795621,0.000011815,0.007822016],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.1041482,"threshold_uncertainty_score":0.06936151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02639934397729389,"score_gpt":0.2752698665997878,"score_spread":0.2488705226224939,"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."}}