{"id":"W2532660511","doi":"10.1016/j.healthpol.2016.10.007","title":"Uncomfortable trade-offs: Canadian policy makers’ perspectives on setting objectives for their health systems","year":2016,"lang":"en","type":"article","venue":"Health Policy","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Institute for Health Information; McMaster University","funders":"","keywords":"Accountability; Population health; Health policy; Health care; Public health; Population; HRHIS; Public relations; Relevance (law); Health promotion; Medicine; Business; Public economics; Nursing; Political science; Environmental health; Economic growth; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05491234,0.001338409,0.001508242,0.005335092,0.0398869,0.04174886,0.008028352,0.02767741,0.01011551],"category_scores_gemma":[0.1157817,0.001100064,0.00171978,0.008349543,0.04604201,0.01212821,0.01087551,0.03686655,0.0005789823],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.2352829,"about_ca_system_score_gemma":0.398665,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9808234,"about_ca_topic_score_gemma":0.9840181,"domain_scores_codex":[0.9354511,0.02092373,0.001693794,0.002553103,0.01974212,0.01963624],"domain_scores_gemma":[0.9120354,0.03189277,0.002983598,0.002435883,0.02997114,0.02068119],"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":[0.00008352344,0.00003847301,0.001888502,0.0001590177,0.00006248772,0.0002990128,0.022215,0.002187425,0.0001408577,0.8390859,0.1174651,0.01637467],"study_design_scores_gemma":[0.0001254559,0.00003326304,0.006859484,0.001326442,0.0001280042,0.0001663342,0.05729151,0.002222919,0.0003205889,0.4507769,0.4803182,0.0004308548],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01000778,0.006301269,0.00190014,0.8810304,0.001120746,0.00004126129,0.0001914587,0.00002987873,0.09937705],"genre_scores_gemma":[0.7783469,0.00645804,0.004403245,0.1859098,0.00108091,0.0001097194,0.000149718,0.0001578247,0.02338385],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7647171,"threshold_uncertainty_score":0.8869634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06360370797902154,"score_gpt":0.3309319238947097,"score_spread":0.2673282159156881,"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."}}