{"id":"W2319335729","doi":"10.1097/pts.0000000000000206","title":"Predictors of 2010–2011 Michigan Medicaid Beneficiary Adverse E-Code Health Care Encounters","year":2015,"lang":"en","type":"article","venue":"Journal of Patient Safety","topic":"Pharmaceutical Practices and Patient Outcomes","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Michigan State University","keywords":"Medicaid; Beneficiary; Medicine; Environmental health; Emergency department; Quarter (Canadian coin); Public health; Occupational safety and health; Family medicine; Health care; Cohort; Medical emergency; Gerontology; Business; Nursing; Geography; Finance; Economic growth","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":[0.0004200427,0.0001398732,0.0001080279,0.0009131586,0.0004515729,0.0004687881,0.0002852279,0.000405282,0.003020119],"category_scores_gemma":[0.004410865,0.0001699032,0.000296931,0.0009541911,0.0001423151,0.0004566425,0.000810273,0.0006924559,0.0001883903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006673628,"about_ca_system_score_gemma":0.0006564113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0338127,"about_ca_topic_score_gemma":0.07728226,"domain_scores_codex":[0.9995841,0.00008446861,0.00007350618,0.00006208126,0.00009559269,0.0001002665],"domain_scores_gemma":[0.9963968,0.0006820727,0.00225284,0.00007984129,0.0002307741,0.0003575837],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002138488,0.00002083911,0.9982356,0.000003144634,0.00001066919,0.00002816004,0.00003550666,0.00003176873,0.0000274,0.00001910238,0.0004488344,0.001117575],"study_design_scores_gemma":[0.000001558069,0.00001285533,0.9993299,0.000007302009,0.000004570282,0.00007475667,0.0001176808,0.0002233046,0.00002476359,0.000008487087,0.0001931805,0.000001596311],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974463,0.0001045745,0.00004119758,0.0003796162,0.000006586654,0.00001022504,0.001140896,0.000005498781,0.0008651046],"genre_scores_gemma":[0.9974864,0.0001653137,0.0001256026,0.0001076928,0.00003353066,0.00001858076,0.001788575,0.000002815207,0.0002714313],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0338127,"threshold_uncertainty_score":0.06723177,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06565199192718994,"score_gpt":0.3615708594779743,"score_spread":0.2959188675507844,"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."}}