{"id":"W189372258","doi":"10.1016/b978-0-12-375678-7.01422-x","title":"Policy Responses to Uncertainty in Healthcare Resource Allocation Decision Processes","year":2014,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Reimbursement; Health care; Business; Population; Value (mathematics); Process (computing); Resource allocation; Health technology; Risk analysis (engineering); Actuarial science; Operations management; Medicine; Economics; Computer science; Environmental health","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":[0.004895254,0.0006442008,0.0005580458,0.0005245204,0.0005010255,0.005026291,0.0006539897,0.003394807,0.008168355],"category_scores_gemma":[0.01975334,0.0003982197,0.0003964966,0.001035308,0.00174119,0.002871877,0.001231212,0.003517101,0.0004927027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004136651,"about_ca_system_score_gemma":0.002474931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004305855,"about_ca_topic_score_gemma":0.002748354,"domain_scores_codex":[0.9977694,0.001340642,0.00007850708,0.000160643,0.0004146142,0.0002361811],"domain_scores_gemma":[0.9900609,0.008890002,0.0004305669,0.0001019705,0.0003353725,0.0001811375],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000118236,0.00004899629,0.0009180995,0.0001676222,0.00006065499,0.0002044484,0.000430331,0.15947,0.0004981501,0.7696757,0.01968222,0.04872562],"study_design_scores_gemma":[0.00001188335,0.00001653806,0.0005185663,0.0001047209,0.00001178991,0.00003460274,0.0003000245,0.05329651,0.0001433328,0.9333302,0.01221063,0.00002118229],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09588638,0.03919864,0.2908127,0.1948292,0.002514308,0.0001441106,0.001056358,0.0002501459,0.3753082],"genre_scores_gemma":[0.9454146,0.01450956,0.01206827,0.002766629,0.001309007,0.0001006234,0.0001388403,0.00008843347,0.02360406],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008168355,"threshold_uncertainty_score":0.03001362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1803443275316768,"score_gpt":0.4068857342025518,"score_spread":0.226541406670875,"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."}}