{"id":"W2810566057","doi":"10.1111/bju.14477","title":"Use of machine learning to predict early biochemical recurrence after robot‐assisted prostatectomy","year":2018,"lang":"en","type":"article","venue":"British Journal of Urology","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":103,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Logistic regression; Random forest; Artificial intelligence; Machine learning; Decision tree; Prostatectomy; Computer science; Regression analysis; Regression; Prostate cancer; Statistics; Medicine; Mathematics; Internal medicine; Cancer","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":[0.005333331,0.0006464275,0.0006728797,0.001416266,0.0001916307,0.0008774553,0.0005718643,0.0006260676,0.0005990429],"category_scores_gemma":[0.01843323,0.0001706037,0.0007043922,0.0005404127,0.0002841523,0.0008145401,0.0004299279,0.0006429444,0.0002807158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004614455,"about_ca_system_score_gemma":0.0006330796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001470213,"about_ca_topic_score_gemma":0.001577503,"domain_scores_codex":[0.9975563,0.001423694,0.0001788606,0.0003034879,0.0004363848,0.0001011952],"domain_scores_gemma":[0.9887013,0.00827725,0.001370568,0.0004894998,0.0009765298,0.0001847602],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001682873,0.0009718226,0.7099055,0.0002265471,0.001232643,0.0001101247,0.00008593845,0.09457325,0.001406564,0.0002357888,0.00118334,0.1883857],"study_design_scores_gemma":[0.0002025722,0.002883112,0.2702552,0.0001101102,0.0003776417,0.0004624804,0.00009871376,0.7201203,0.00311547,0.001308797,0.0009880848,0.00007753152],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9716888,0.002027246,0.02409589,0.0003751452,0.00006879693,0.00008228938,0.0004347513,0.0002570015,0.0009700854],"genre_scores_gemma":[0.9905347,0.0002119199,0.008616557,0.00003648406,0.00003313593,0.00003044758,0.0003883629,0.0000103791,0.0001379172],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005333331,"threshold_uncertainty_score":0.02820569,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02013476279468358,"score_gpt":0.2675590267784586,"score_spread":0.247424263983775,"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."}}