{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000469488,0.000181552,0.0002967291,0.00003527633,0.0001513437,0.00001229227,0.00007175472,0.00007055668,0.0009007042],"category_scores_gemma":[0.000006163367,0.0001423494,0.0001038643,0.0001046745,0.0000986557,0.000111051,0.00001952586,0.0001044011,0.00001059234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003917298,"about_ca_system_score_gemma":0.0004841361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001013914,"about_ca_topic_score_gemma":0.0001822281,"domain_scores_codex":[0.9989635,0.00001160246,0.0001690021,0.0003561685,0.0001717346,0.0003280159],"domain_scores_gemma":[0.999235,0.00002043497,0.00007575148,0.0002837572,0.0001725268,0.0002124688],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001233811,0.0004916391,0.8522018,0.0002263275,0.0003402085,0.0001067754,0.002641678,0.0002488948,0.0003406371,0.00003556559,0.06493321,0.07719941],"study_design_scores_gemma":[0.007602131,0.001341038,0.6078705,0.0003230885,0.0002531116,0.0000373797,0.0001869419,0.001563749,0.04323592,0.0000862156,0.3370949,0.0004050269],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9804133,0.01313126,0.00007445169,0.003660825,0.0003590133,0.001153264,0.0006726487,0.00007069463,0.0004645664],"genre_scores_gemma":[0.9764462,0.01611783,0.0002766915,0.00227921,0.0004533126,0.002340026,0.00006136281,0.00004339296,0.00198198],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2721617,"threshold_uncertainty_score":0.9862079,"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."}}