{"id":"W3116074376","doi":"","title":"What is best for Esther? What Canada can learn from the Swedish health care service","year":2019,"lang":"en","type":"article","venue":"Canadian Journal of Physician Leadership","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Health care; Health services; Business; Nursing; Public relations; Political science; Medicine; Economic growth; Environmental health; Population; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003599026,0.0001821245,0.0004547511,0.0001235333,0.0002448326,0.0004145704,0.0005643971,0.00006113986,0.0001065769],"category_scores_gemma":[0.00002449503,0.0001814587,0.0001426273,0.0002348435,0.00003673179,0.0006654459,0.00001112196,0.0003298989,0.00008905191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001199797,"about_ca_system_score_gemma":0.003255378,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9687571,"about_ca_topic_score_gemma":0.995573,"domain_scores_codex":[0.9983538,0.00004553415,0.0005686436,0.0002569883,0.00007897808,0.0006960314],"domain_scores_gemma":[0.9981893,0.0001110439,0.0005817125,0.0003724333,0.0001445196,0.0006009513],"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":[0.0001028782,0.00008520718,0.02464281,0.001995488,0.001091673,0.00008411475,0.2430771,0.001145056,0.000003543542,0.08390882,0.3652605,0.2786027],"study_design_scores_gemma":[0.0005071983,0.0001513696,0.002437596,0.0004528245,0.00001267789,0.000002428993,0.1798143,0.0000490366,0.00001458119,0.002475039,0.8138335,0.0002495205],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.08736625,0.04980509,0.00004016567,0.8551217,0.005126994,0.0007501309,0.0008516157,0.000005768544,0.0009322232],"genre_scores_gemma":[0.7849973,0.0003128076,0.00003278625,0.2131916,0.0008784737,0.000006737567,0.00003062166,0.0000368455,0.0005128041],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.6976311,"threshold_uncertainty_score":0.7399673,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.101004699867183,"score_gpt":0.2567192898936165,"score_spread":0.1557145900264335,"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."}}