{"id":"W2097820688","doi":"10.1177/0272989x14547915","title":"Societal Preferences for Distributive Justice in the Allocation of Health Care Resources","year":2014,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"Capital District Health Authority","funders":"Health Research Board","keywords":"Distributive justice; Equity (law); Life expectancy; Rationing; Economics; Quality-adjusted life year; Actuarial science; Health care; Maximization; Redistribution (election); Preference; Economic Justice; Public economics; Microeconomics; Medicine; Cost effectiveness; Operations management","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":[0.01803572,0.0003280922,0.0003600811,0.0006946162,0.0009456091,0.003320157,0.0003074398,0.001424487,0.003861173],"category_scores_gemma":[0.03301891,0.0001642446,0.0005772876,0.0004654207,0.002917368,0.00133172,0.001574401,0.001794508,0.0001920463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001679154,"about_ca_system_score_gemma":0.0009980677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006887878,"about_ca_topic_score_gemma":0.001485732,"domain_scores_codex":[0.9812729,0.01379583,0.0006241457,0.0006529343,0.00268649,0.0009675786],"domain_scores_gemma":[0.9730577,0.0185306,0.004021905,0.00159327,0.001792499,0.001004015],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002331727,0.002022385,0.4226077,0.0009574392,0.001198109,0.002248758,0.04198046,0.01349409,0.04074476,0.2528115,0.004097556,0.2155055],"study_design_scores_gemma":[0.0004764628,0.004617475,0.5471655,0.0007350788,0.0004852732,0.002331892,0.07076684,0.02648156,0.01364488,0.2873849,0.04540661,0.0005035688],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9548361,0.0002818919,0.01050992,0.00385025,0.00003962022,0.0001026604,0.0000410014,0.00001221836,0.03032628],"genre_scores_gemma":[0.9970791,0.00008046003,0.001935469,0.0004919122,0.00001343739,0.00002544372,0.00001033936,0.000002404926,0.000361488],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01803572,"threshold_uncertainty_score":0.09538317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1111533534620463,"score_gpt":0.3142063394560839,"score_spread":0.2030529859940376,"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."}}