{"id":"W2588881551","doi":"10.1097/mlr.0000000000000699","title":"Changes in Emergency Department Utilization After Early Medicaid Expansion in California","year":2017,"lang":"en","type":"article","venue":"Medical Care","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicaid; Emergency department; Quarter (Canadian coin); Medicine; Emergency medicine; Demography; Family medicine; Medical emergency; Health care; Geography; Nursing; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001138528,0.0001626779,0.0001795413,0.00067125,0.0004259059,0.0006102456,0.0005150118,0.0002766093,0.001105295],"category_scores_gemma":[0.003315721,0.0001921467,0.0003231936,0.0006273181,0.0003622454,0.0003071109,0.0003851808,0.0004622868,0.00005345324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00225568,"about_ca_system_score_gemma":0.001503115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1468024,"about_ca_topic_score_gemma":0.1789572,"domain_scores_codex":[0.9992446,0.0001881442,0.00004415957,0.0001447578,0.0002205396,0.0001578257],"domain_scores_gemma":[0.9964575,0.0009561416,0.001356151,0.0001612454,0.000674964,0.0003939887],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006142007,0.001040166,0.9831501,0.00009409605,0.0001909998,0.0001855562,0.0006703061,0.001075858,0.001019201,0.0001213569,0.001559138,0.01027915],"study_design_scores_gemma":[0.00001781316,0.000142766,0.9990579,0.000009937625,0.00002350006,0.00001924797,0.0001910242,0.0001706667,0.0001011715,0.000007539842,0.000254854,0.000003554429],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991124,0.00009178359,0.00001985376,0.00005445113,0.000002413224,0.00001272933,0.0002481373,0.000004591846,0.0004536584],"genre_scores_gemma":[0.9990153,0.0001063284,0.00008168885,0.00006079847,0.000006610367,0.00002310248,0.0004564697,0.000001503455,0.0002481033],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1468024,"threshold_uncertainty_score":0.2918958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06936273679167017,"score_gpt":0.3168472079919983,"score_spread":0.2474844712003281,"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."}}