{"id":"W2794427418","doi":"10.3138/cpp.2017-015","title":"Would Better Access to Preventive Care Reduce Use of Acute Care? Evidence from a Large-Scale Not-for-Profit Intervention in Alberta","year":2018,"lang":"en","type":"article","venue":"Canadian Public Policy","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University of New Brunswick","funders":"","keywords":"Payment; Business; Intervention (counseling); Scale (ratio); Upstream (networking); Emergency department; Profit (economics); Health care; Preventive care; Public economics; Medicine; Finance; Nursing; Economics; Economic growth","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.005058851,0.0006375955,0.001013907,0.0005598694,0.001379855,0.001097861,0.002143239,0.001368253,0.003350693],"category_scores_gemma":[0.01011996,0.000353659,0.001487826,0.001515488,0.002137091,0.0003178329,0.001110342,0.001449226,0.0001887577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01927244,"about_ca_system_score_gemma":0.03045544,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9058551,"about_ca_topic_score_gemma":0.9143326,"domain_scores_codex":[0.9937517,0.003580123,0.000188061,0.0004056925,0.0008224943,0.001251953],"domain_scores_gemma":[0.9930356,0.002971072,0.00125443,0.0004500382,0.00100697,0.00128191],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.08544055,0.04577198,0.494045,0.009387866,0.01329969,0.0009789874,0.004190612,0.01032285,0.00268027,0.009683281,0.02163026,0.3025687],"study_design_scores_gemma":[0.02094704,0.01028192,0.9432108,0.001575993,0.008644635,0.00005623216,0.001980368,0.00306037,0.0006619335,0.001523061,0.007980259,0.0000772716],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9776533,0.008987952,0.0005713277,0.003886854,0.0002487736,0.0008896884,0.001041054,0.00003745939,0.006683509],"genre_scores_gemma":[0.9944075,0.002584693,0.0005387386,0.0007824425,0.00005932472,0.0001826335,0.0004115137,0.00000546323,0.001027794],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09414494,"threshold_uncertainty_score":0.1893987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1035514831356991,"score_gpt":0.345153674587285,"score_spread":0.2416021914515859,"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."}}