{"id":"W2012832526","doi":"10.1258/0951484053723117","title":"From the trenches: views from decision-makers on health services priority setting","year":2005,"lang":"en","type":"article","venue":"Health Services Management Research","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Calgary","funders":"","keywords":"Scarcity; Context (archaeology); Public relations; Citizen journalism; Action (physics); Business; Health care; Service (business); Political science; Marketing; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.05087024,0.0004077425,0.001307552,0.0006157147,0.001775508,0.0005336073,0.00180481,0.0001724256,0.001107679],"category_scores_gemma":[0.0001697766,0.0003935173,0.0001783664,0.0008643017,0.00009190035,0.0007168953,0.0005773775,0.0008673054,0.009996707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002337929,"about_ca_system_score_gemma":0.000328438,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.09185835,"about_ca_topic_score_gemma":0.04494653,"domain_scores_codex":[0.9883401,0.002304998,0.005187309,0.001630776,0.0008557314,0.00168103],"domain_scores_gemma":[0.9890849,0.005451861,0.002578729,0.002086799,0.0001199281,0.0006777981],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000460706,0.001600711,0.09036341,0.01514319,0.0008567335,0.0000127958,0.1579774,0.002093095,6.34499e-7,0.07456518,0.3710117,0.2859145],"study_design_scores_gemma":[0.0012965,0.000181002,0.103011,0.002118609,0.000005011598,4.225226e-7,0.03376883,0.01106463,6.433494e-7,0.0242753,0.8239172,0.0003608388],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3445476,0.02825011,0.0007070019,0.6078956,0.001217561,0.006404028,0.001370236,0.0002576975,0.009350142],"genre_scores_gemma":[0.4876651,0.0169885,0.03468936,0.4506985,0.005822798,0.001058515,0.001243526,0.0002181598,0.001615586],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.4529055,"threshold_uncertainty_score":0.9998516,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3646410057381835,"score_gpt":0.5253093995218042,"score_spread":0.1606683937836207,"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."}}