{"id":"W2046102352","doi":"10.12927/hcq.2011.22649","title":"Priority Setting in Ontario's LHINs: Ethics and Economics in Action","year":2011,"lang":"en","type":"article","venue":"Healthcare Quarterly","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Implementation; Set (abstract data type); Health care; Process (computing); Constraint (computer-aided design); Action (physics); Best value; Value for money; Value (mathematics); Political science; Process management; Public relations; Public administration; Business; Management science; Economics; Computer science; Public economics; Engineering; Law; Marketing","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03441521,0.0003401275,0.0004553007,0.001778696,0.01274732,0.01154798,0.00223931,0.00332435,0.002707],"category_scores_gemma":[0.04713949,0.0006774444,0.0003711221,0.003168983,0.01611509,0.004006022,0.004719948,0.003619258,0.0002046735],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.179482,"about_ca_system_score_gemma":0.3202036,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8456224,"about_ca_topic_score_gemma":0.9195502,"domain_scores_codex":[0.9659256,0.02189973,0.001004424,0.001102659,0.005942116,0.00412547],"domain_scores_gemma":[0.9591737,0.01875382,0.003390004,0.001141703,0.008755833,0.008784855],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001158827,0.0001340156,0.01582152,0.0004766597,0.0000536163,0.0008679667,0.02750017,0.01080511,0.0004662815,0.8332958,0.0413149,0.06914812],"study_design_scores_gemma":[0.0002343158,0.0001639028,0.03813946,0.001587442,0.0000400194,0.0003029153,0.05441421,0.01459849,0.0005978166,0.494523,0.3951135,0.0002849873],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1735899,0.009799448,0.09514709,0.5331343,0.000810875,0.001967889,0.0005361949,0.000181239,0.1848331],"genre_scores_gemma":[0.9316443,0.003146385,0.04126768,0.007424089,0.0001837925,0.0005268161,0.000119289,0.00003996803,0.0156477],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.820518,"threshold_uncertainty_score":0.9516846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1698742302932237,"score_gpt":0.3187262740784036,"score_spread":0.14885204378518,"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."}}