{"id":"W4391302286","doi":"10.1200/jco.2024.42.4_suppl.110","title":"Toxicity-benefit analysis of advanced prostate cancer trials using weighted toxicity scoring.","year":2024,"lang":"en","type":"article","venue":"Journal of Clinical Oncology","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; Sunnybrook Health Science Centre","funders":"","keywords":"Medicine; Prostate cancer; Toxicity; Internal medicine; Oncology; Clinical endpoint; Hazard ratio; Clinical trial; Adverse effect; Cancer; Confidence interval","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":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.1980845,0.001972309,0.004394528,0.009059788,0.000399313,0.002431927,0.001135464,0.0006426285,0.004532171],"category_scores_gemma":[0.1907157,0.0005638946,0.0138428,0.007717712,0.0008738875,0.002139241,0.0028252,0.001622091,0.0002934923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002294726,"about_ca_system_score_gemma":0.001954297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007868505,"about_ca_topic_score_gemma":0.0009757575,"domain_scores_codex":[0.7828815,0.1846282,0.01699059,0.003977751,0.01072688,0.0007950393],"domain_scores_gemma":[0.7536696,0.20259,0.03094309,0.005539703,0.00604418,0.00121352],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.1081637,0.0009178322,0.2344249,0.03469045,0.2479903,0.0004616228,0.0006613004,0.09444542,0.002700027,0.008761725,0.008060476,0.2587222],"study_design_scores_gemma":[0.02958449,0.06400113,0.3220686,0.005220584,0.1359808,0.001737639,0.0007682174,0.3498223,0.004592739,0.05160261,0.03408887,0.0005320036],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5464938,0.1158423,0.2539364,0.002525975,0.0009146331,0.04004043,0.02322931,0.0009789928,0.01603822],"genre_scores_gemma":[0.9277605,0.003171911,0.04842391,0.0004189549,0.0001686481,0.0136411,0.005711159,0.00009290459,0.0006109656],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8019155,"threshold_uncertainty_score":0.9889046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.741817832009525,"score_gpt":0.6914602367720749,"score_spread":0.05035759523745009,"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."}}