{"id":"W2016640074","doi":"10.1002/cncr.23269","title":"Is there an optimal comorbidity index for prostate cancer?","year":2008,"lang":"en","type":"article","venue":"Cancer","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Cancer Research; Toronto Rehabilitation Institute; University of Toronto; University Health Network","funders":"","keywords":"Comorbidity; Medicine; Prostatectomy; Prostate cancer; Internal medicine; Logistic regression; Cancer registry; Cancer; Proportional hazards model","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.003132086,0.0004255739,0.001213586,0.001417004,0.0007095385,0.00141147,0.000634198,0.0008330457,0.001073583],"category_scores_gemma":[0.02260564,0.0002232875,0.0005204131,0.002040417,0.0008907864,0.001031483,0.0007255728,0.0007216951,0.0001954634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002032481,"about_ca_system_score_gemma":0.003730228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01517792,"about_ca_topic_score_gemma":0.02986375,"domain_scores_codex":[0.9980447,0.0007297774,0.0002774102,0.0001966454,0.0005950422,0.0001563489],"domain_scores_gemma":[0.991432,0.003100468,0.0027139,0.0002349568,0.001285912,0.001232798],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000253191,0.00004505492,0.9686365,0.0001506599,0.0001812999,0.00009120312,0.00006877036,0.0003476706,0.0001542448,0.0002490547,0.002021698,0.02780063],"study_design_scores_gemma":[0.00008547738,0.0003313481,0.9802911,0.0007591015,0.0004700189,0.001161132,0.0007765364,0.00935405,0.000240512,0.003611846,0.002858733,0.00006007768],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9215024,0.03782751,0.006842599,0.02801013,0.000523921,0.0001225138,0.001341971,0.00007397117,0.003754943],"genre_scores_gemma":[0.9901102,0.004098674,0.004156296,0.000713622,0.0003317236,0.00002286787,0.000505275,0.000008923015,0.00005238119],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01517792,"threshold_uncertainty_score":0.03017914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06603528564802597,"score_gpt":0.3538845517859556,"score_spread":0.2878492661379297,"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."}}