{"id":"W2170621602","doi":"10.1186/1478-7547-10-9","title":"From efficacy to equity: Literature review of decision criteria for resource allocation and healthcare decisionmaking","year":2012,"lang":"en","type":"article","venue":"Cost Effectiveness and Resource Allocation","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":226,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; York University; Inro Consultants (Canada)","funders":"Canadian Institutes of Health Research","keywords":"Equity (law); Health administration; Health services research; Health care; Multiple-criteria decision analysis; Stakeholder; Health economics; Medicine; Context (archaeology); Health policy; Resource allocation; MEDLINE; Management science; Actuarial science; Operations research; Public health; Business; Public relations; Computer science; Nursing; Economics; Political science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.09140573,0.001941422,0.005597925,0.02743559,0.001979335,0.00985187,0.002914073,0.004699384,0.004685063],"category_scores_gemma":[0.2728569,0.001222189,0.004732069,0.03020672,0.005137885,0.01225574,0.0048757,0.004301197,0.0003297806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01301874,"about_ca_system_score_gemma":0.02627561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00534055,"about_ca_topic_score_gemma":0.007771614,"domain_scores_codex":[0.8664505,0.08761362,0.02290177,0.003061634,0.01864761,0.001324969],"domain_scores_gemma":[0.64227,0.3243818,0.01534789,0.002749674,0.01429641,0.0009541375],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002835158,0.0001110997,0.001466847,0.3393128,0.001806437,0.0002039486,0.002599186,0.001666785,0.000127262,0.05069813,0.0088023,0.5929217],"study_design_scores_gemma":[0.0001385589,0.0001967547,0.003045723,0.867045,0.002822071,0.0005751636,0.003272777,0.001248817,0.0002457929,0.04443773,0.07685402,0.0001176109],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0009083443,0.9906657,0.002061491,0.00397264,0.0003723332,0.0002090081,0.00006500538,0.000005741343,0.00173973],"genre_scores_gemma":[0.05108747,0.9337753,0.009911412,0.003116658,0.0006264889,0.001083832,0.0001388143,0.00001724693,0.0002426069],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.09140573,"threshold_uncertainty_score":0.4834055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2535946793671106,"score_gpt":0.4856647858983505,"score_spread":0.2320701065312399,"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."}}