{"id":"W2271066764","doi":"10.1002/cncr.29892","title":"Management of localized and advanced prostate cancer in Canada: A lifetime cost and quality‐adjusted life‐year analysis","year":2016,"lang":"en","type":"article","venue":"Cancer","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre; McGill University","funders":"","keywords":"Medicine; Prostate cancer; Quality of life (healthcare); Cancer; Quality-adjusted life year; Prostate; Cost analysis; Gerontology; Cost effectiveness; Internal medicine; Nursing; Risk analysis (engineering); Reliability engineering","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":[0.001021925,0.0004610654,0.0005717528,0.002178433,0.0008621505,0.001187127,0.0009597039,0.0005357463,0.002643674],"category_scores_gemma":[0.003889362,0.0002593807,0.002155217,0.004446435,0.0003604244,0.0004582417,0.0007205289,0.0007400849,0.0001379855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05283695,"about_ca_system_score_gemma":0.02574714,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9659312,"about_ca_topic_score_gemma":0.9585541,"domain_scores_codex":[0.9992958,0.00009783034,0.00004739066,0.00006760592,0.0003146735,0.0001765296],"domain_scores_gemma":[0.9984245,0.0003242252,0.0003282373,0.0000425542,0.0006267086,0.0002536966],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001463375,0.0003679175,0.8596511,0.0008797126,0.002143624,0.0004888595,0.0002893847,0.08586436,0.0003008749,0.002305628,0.005503508,0.04074154],"study_design_scores_gemma":[0.0002943634,0.0005624933,0.8746995,0.0004812467,0.001682554,0.0006519282,0.001069282,0.1128895,0.0002472039,0.001280246,0.006015546,0.0001261173],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9714218,0.004105616,0.001136155,0.0009087848,0.00002099995,0.0003165322,0.01704191,0.00002346128,0.00502483],"genre_scores_gemma":[0.990535,0.001729844,0.00101797,0.00010481,0.00001030125,0.00006121965,0.005760463,0.000006459979,0.0007739789],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05283695,"threshold_uncertainty_score":0.3833607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01935803327977104,"score_gpt":0.302252680994407,"score_spread":0.282894647714636,"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."}}