{"id":"W3043555701","doi":"10.5489/cuaj.6523","title":"Active surveillance before radiotherapy — outcome and predictive factors for multiple biopsies before treatment","year":2020,"lang":"en","type":"article","venue":"Canadian Urological Association Journal","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hôpital Notre-Dame; Centre Hospitalier de l’Université de Montréal","funders":"Sanofi","keywords":"Medicine; Biopsy; Interquartile range; Univariate analysis; Radiation therapy; Proportional hazards model; Prostate cancer; External beam radiotherapy; Brachytherapy; Cancer; Surgery; Internal medicine; Multivariate analysis","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0006657877,0.0001712951,0.0002566232,0.0004180077,0.0002773518,0.0006122079,0.0004097932,0.0003805085,0.002479037],"category_scores_gemma":[0.003765314,0.0001409855,0.0003684723,0.0005823405,0.0002668142,0.0004488334,0.0002822818,0.0007012358,0.0002014804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002831057,"about_ca_system_score_gemma":0.0003444459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001817416,"about_ca_topic_score_gemma":0.002529459,"domain_scores_codex":[0.9995722,0.0001261573,0.00004718232,0.00009761823,0.00008121582,0.00007552379],"domain_scores_gemma":[0.9956038,0.0008617332,0.002612424,0.0001512501,0.0001818987,0.0005888956],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001635464,0.00002291656,0.9974935,0.000008839252,0.00002131289,0.00006870024,0.00001590333,0.00005956952,0.0001499074,0.00001008125,0.00006696847,0.001918745],"study_design_scores_gemma":[0.000006599095,0.0001682501,0.9984548,0.00001415718,0.00002993653,0.0006981926,0.00005485876,0.0002168941,0.0001240442,0.00002578024,0.000203413,0.000003007938],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980454,0.0009865584,0.000139539,0.00008503548,0.00001356698,0.000006057536,0.0001572545,0.000005199203,0.0005612977],"genre_scores_gemma":[0.9996263,0.00009902458,0.0000422235,0.00001746468,0.00002019018,0.00000234953,0.0001338472,0.000001827641,0.000056736],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002479037,"threshold_uncertainty_score":0.008293211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01495614362984499,"score_gpt":0.2559963026694874,"score_spread":0.2410401590396424,"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."}}