{"id":"W2048709304","doi":"10.1007/s00464-014-4044-2","title":"Incorporating patient-preference evidence into regulatory decision making","year":2014,"lang":"en","type":"article","venue":"Surgical Endoscopy","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":219,"is_retracted":false,"has_abstract":false,"ca_institutions":"Research Manitoba","funders":"","keywords":"Medicine; Preference; Respondent; Weight loss; Cost–benefit analysis; Risk assessment; Body mass index; Actuarial science; Statistics; Obesity; Business; Internal medicine; Computer science","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":[0.143531,0.001518762,0.003137107,0.004347087,0.0006831599,0.007519434,0.00210323,0.006181303,0.01191491],"category_scores_gemma":[0.4251969,0.001018804,0.002489609,0.003316513,0.003056922,0.008648719,0.002252826,0.007398426,0.0005192021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002973271,"about_ca_system_score_gemma":0.005919696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003211333,"about_ca_topic_score_gemma":0.007006718,"domain_scores_codex":[0.8537461,0.1341247,0.00362433,0.001815821,0.005540378,0.001148756],"domain_scores_gemma":[0.29842,0.6809474,0.007476362,0.005591814,0.006161217,0.001403081],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.006534176,0.002349647,0.0399781,0.006097738,0.007269362,0.0008445444,0.0008684362,0.3133072,0.0004830175,0.2700369,0.01799018,0.3342407],"study_design_scores_gemma":[0.001291273,0.001191306,0.007734735,0.002091156,0.001467487,0.0002381968,0.0003975951,0.2476452,0.0006109888,0.7295984,0.007538764,0.0001948998],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2448801,0.03072263,0.5509273,0.1030764,0.001689864,0.001354778,0.003004091,0.0002877074,0.06405704],"genre_scores_gemma":[0.9357756,0.002673385,0.05592538,0.003836957,0.0005129001,0.0002210638,0.0003243394,0.00002566248,0.0007046847],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.143531,"threshold_uncertainty_score":0.7590734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2927686628591318,"score_gpt":0.4240712762524181,"score_spread":0.1313026133932864,"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."}}