{"id":"W3109936636","doi":"10.1017/s0266462313000573","title":"WHICH CRITERIA ARE CONSIDERED IN HEALTHCARE DECISIONS? INSIGHTS FROM AN INTERNATIONAL SURVEY OF POLICY AND CLINICAL DECISION MAKERS","year":2013,"lang":"en","type":"article","venue":"International Journal of Technology Assessment in Health Care","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":99,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Canadian Institutes of Health Research","keywords":"Snowball sampling; Context (archaeology); Health care; Stakeholder; Population; Psychology; Actuarial science; Medicine; Business; Environmental health; Economics; Public relations; Political science; Geography; Economic growth","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":[0.06226218,0.0003778801,0.0007039191,0.004408367,0.002895931,0.008238665,0.001065283,0.001707098,0.002452702],"category_scores_gemma":[0.1099607,0.0005157748,0.0006083046,0.004835845,0.004126936,0.005757893,0.003687056,0.002748243,0.0002301861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005015612,"about_ca_system_score_gemma":0.006164187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006106162,"about_ca_topic_score_gemma":0.005490441,"domain_scores_codex":[0.9399935,0.04749398,0.003892597,0.001216563,0.004009743,0.003393675],"domain_scores_gemma":[0.8778307,0.08924194,0.01888598,0.001535444,0.006793267,0.005712632],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0004708898,0.0004538216,0.3355571,0.0009407644,0.0001808624,0.0007314149,0.5839076,0.0006441444,0.0004251728,0.009997224,0.005738033,0.06095299],"study_design_scores_gemma":[0.00005342339,0.0002570885,0.08884548,0.00112281,0.00005116656,0.0003139088,0.8866739,0.001242794,0.0002154296,0.00531247,0.01583221,0.000079381],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9687588,0.001461953,0.001275825,0.01719516,0.00006222356,0.0001449295,0.0001965923,0.000006360308,0.01089816],"genre_scores_gemma":[0.9972181,0.0006774821,0.0005285057,0.001298953,0.00001800071,0.00006541112,0.00007006589,0.000003974601,0.0001195658],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06226218,"threshold_uncertainty_score":0.3292778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2834081018444753,"score_gpt":0.5574686214871227,"score_spread":0.2740605196426474,"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."}}