{"id":"W2544318409","doi":"10.1016/j.jval.2016.09.2250","title":"Development of a Global Model for the Economic Evaluation of Personalized Medicine for the Treatment of Prostate Cancer","year":2016,"lang":"en","type":"article","venue":"Value in Health","topic":"Prostate Cancer Treatment and Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Prostate cancer; Medicine; Christian ministry; Personalized medicine; Economic evaluation; Medical physics; Precision medicine; Prostate; Gynecology; Oncology; Cancer; Internal medicine; Bioinformatics; Political science; Pathology","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":[],"consensus_categories":[],"category_scores_codex":[0.006555157,0.001453693,0.002136043,0.001392465,0.0007391667,0.004343642,0.002514822,0.003232282,0.009484146],"category_scores_gemma":[0.01520613,0.0007667197,0.001839045,0.002159878,0.001685845,0.004104051,0.002499915,0.003356122,0.000505327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004567234,"about_ca_system_score_gemma":0.004060242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01263584,"about_ca_topic_score_gemma":0.008462299,"domain_scores_codex":[0.996974,0.00229502,0.00005402225,0.000232928,0.0002195486,0.0002244875],"domain_scores_gemma":[0.9957713,0.003313037,0.0001873556,0.0001816776,0.0003601318,0.0001864772],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001248217,0.00005812244,0.001044125,0.00008904449,0.0001445586,0.0001481861,0.00008157508,0.6599881,0.0001360423,0.3224123,0.003447546,0.01232561],"study_design_scores_gemma":[0.0001063406,0.00007933928,0.0006476527,0.00005857856,0.00009255713,0.00009223622,0.00009365049,0.7004874,0.00009890821,0.2923851,0.005823849,0.00003431087],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06951334,0.002548315,0.8143176,0.01301266,0.0003387764,0.0003987124,0.00177251,0.000240404,0.09785766],"genre_scores_gemma":[0.8433924,0.002282759,0.1334912,0.00106776,0.0001992223,0.0006957641,0.0009132274,0.0001973849,0.01776027],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01263584,"threshold_uncertainty_score":0.03466737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2358764605439406,"score_gpt":0.4658859456792348,"score_spread":0.2300094851352942,"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."}}