{"id":"W2789982459","doi":"10.1111/ajco.12855","title":"Cultural adaptation and validation of the Chinese version of the expanded prostate cancer index composite","year":2018,"lang":"en","type":"article","venue":"Asia-Pacific Journal of Clinical Oncology","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Simon Fraser University; BC Cancer Agency","funders":"","keywords":"Adaptation (eye); Prostate cancer; Index (typography); Composite index; Composite number; Cancer; Psychology; Medicine; Computer science; Mathematics; Internal medicine; Composite indicator; Econometrics; Neuroscience; Algorithm; World Wide Web","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":[0.01520875,0.0005359757,0.0003139874,0.0008141471,0.00103904,0.0005376022,0.0008685493,0.0002732021,0.001906879],"category_scores_gemma":[0.01955816,0.0002649652,0.0009056674,0.0008483135,0.0007755384,0.0005102278,0.001581213,0.000803722,0.0003277324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009924448,"about_ca_system_score_gemma":0.003308694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007379543,"about_ca_topic_score_gemma":0.01043887,"domain_scores_codex":[0.9948566,0.002627199,0.0007209647,0.0004043635,0.001155018,0.0002358836],"domain_scores_gemma":[0.9932166,0.001303864,0.0003973718,0.0008956881,0.003940263,0.0002462937],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001837189,0.002412988,0.4193186,0.001550299,0.0004053103,0.001823598,0.08138963,0.001768203,0.02622148,0.003431765,0.01476916,0.4450718],"study_design_scores_gemma":[0.0006457591,0.003885426,0.9329596,0.0006699509,0.000352314,0.001513144,0.01364149,0.003368855,0.008459154,0.001061666,0.03323742,0.0002052294],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9829134,0.0002935305,0.00606474,0.0003806915,0.0001875752,0.004679278,0.0008576569,0.00004322948,0.004579857],"genre_scores_gemma":[0.9349068,0.0006682046,0.04803475,0.0004659045,0.00007212427,0.01066305,0.002553809,0.00006212261,0.002573412],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01520875,"threshold_uncertainty_score":0.08043253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05417021280253508,"score_gpt":0.4141333786232248,"score_spread":0.3599631658206897,"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."}}