{"id":"W2949040623","doi":"10.1007/s40258-019-00488-1","title":"Health Technology Assessment as Part of a Broader Process for Priority Setting and Resource Allocation","year":2019,"lang":"en","type":"article","venue":"Applied Health Economics and Health Policy","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"Vancouver Coastal Health Research Institute; University of British Columbia; Canadian Centre for Applied Research in Cancer Control; Simon Fraser University; Vancouver Coastal Health","funders":"","keywords":"Disinvestment; Operationalization; Health economics; Health administration; Health technology; Public health; CLARITY; Health care; Resource allocation; Process (computing); Realm; Scarcity; Process management; Business; Risk analysis (engineering); Management science; Medicine; Economics; Computer science; Political science; Economic growth; Nursing; 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":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.1899238,0.00152609,0.004224137,0.01749139,0.004319622,0.02370221,0.003192433,0.006868603,0.01019189],"category_scores_gemma":[0.2356843,0.001544065,0.002415229,0.01624174,0.007986476,0.0169076,0.009215798,0.01659319,0.002160659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01574477,"about_ca_system_score_gemma":0.06160589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009903038,"about_ca_topic_score_gemma":0.01022617,"domain_scores_codex":[0.8464811,0.1184779,0.009231489,0.004287207,0.0185976,0.002924671],"domain_scores_gemma":[0.7225741,0.194095,0.01200306,0.01540846,0.04899734,0.006921931],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00009885136,0.0005528589,0.004088269,0.001948048,0.0005286797,0.0002218645,0.003920394,0.01159646,0.001711391,0.6162191,0.04474212,0.314372],"study_design_scores_gemma":[0.0000496972,0.0001163296,0.003648462,0.001876472,0.0001261639,0.0001515423,0.002325638,0.01042407,0.001270287,0.8789401,0.1008859,0.0001852947],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005875179,0.009559877,0.7692516,0.1463077,0.003389457,0.003933548,0.000804291,0.0005427383,0.06033558],"genre_scores_gemma":[0.1294512,0.006504018,0.8398309,0.01201999,0.002511567,0.001988804,0.0005490482,0.0002205526,0.006923948],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8100762,"threshold_uncertainty_score":0.9989682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.234283261322364,"score_gpt":0.5019646710096402,"score_spread":0.2676814096872762,"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."}}