{"id":"W4206461281","doi":"10.1186/s12911-021-01732-2","title":"A personalized decision aid for prostate cancer shared decision making","year":2021,"lang":"en","type":"article","venue":"BMC Medical Informatics and Decision Making","topic":"Patient-Provider Communication in Healthcare","field":"Health Professions","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sunnybrook Health Science Centre","funders":"","keywords":"Nocturia; Prostate cancer; Medicine; Erectile dysfunction; Decision aids; Decision analysis; Urinary incontinence; Patient participation; Prostatectomy; Intensive care medicine; Surgery; Urinary system; Health care; Internal medicine; Cancer; Alternative medicine; Statistics","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":[0.003278958,0.001176439,0.0006289317,0.000989213,0.000593868,0.002569393,0.001424297,0.001193398,0.03110343],"category_scores_gemma":[0.01179029,0.000449995,0.001084025,0.0008277635,0.000363723,0.001854129,0.00186921,0.001544542,0.00544432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001109912,"about_ca_system_score_gemma":0.001819585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001635646,"about_ca_topic_score_gemma":0.002048452,"domain_scores_codex":[0.9983462,0.0008090201,0.0001654486,0.0002536382,0.0003393496,0.00008637764],"domain_scores_gemma":[0.9928796,0.005825507,0.0002530324,0.000375797,0.0004855605,0.0001806316],"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":[0.001276238,0.0007190283,0.004070188,0.001357635,0.0002473266,0.001030341,0.001437169,0.138322,0.00599092,0.05470137,0.0732432,0.7176046],"study_design_scores_gemma":[0.0004300935,0.0001949537,0.001091411,0.0004683256,0.000135462,0.0006394113,0.0002785846,0.7600723,0.008283358,0.08394843,0.1443477,0.0001100541],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01619609,0.0002329918,0.9335911,0.001102255,0.0001265319,0.0008818302,0.003220423,0.03361404,0.01103474],"genre_scores_gemma":[0.06617696,0.0001886473,0.9259701,0.000350918,0.00003582387,0.0008089041,0.00182942,0.0006853535,0.00395383],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03110343,"threshold_uncertainty_score":0.1040514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2170041006224582,"score_gpt":0.4901577468068392,"score_spread":0.273153646184381,"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."}}