{"id":"W2281295224","doi":"10.18553/jmcp.2016.22.4.381","title":"Connecting Patients to Prescription Assistance Programs: Effects on Emergency Department and Hospital Utilization","year":2016,"lang":"en","type":"article","venue":"Journal of Managed Care & Specialty Pharmacy","topic":"Medication Adherence and Compliance","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Providence Health Care","funders":"Providence Health Care; University of Washington; Washington State University","keywords":"Medicine; Emergency department; Medical prescription; Medical emergency; Health care; Emergency medicine; Family medicine; Medical record; Nursing","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001717313,0.0001227805,0.0002052047,0.0001038963,0.0000826076,0.00001900992,0.00009072517,0.00002301256,0.0001958377],"category_scores_gemma":[0.0002430747,0.00008454324,0.00006899096,0.0001505264,0.00001211825,0.00014844,0.00002388792,0.0001218029,0.00005709131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001794728,"about_ca_system_score_gemma":0.00003816656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001911818,"about_ca_topic_score_gemma":0.000005162363,"domain_scores_codex":[0.9987302,0.00007001622,0.0003799979,0.000179449,0.0004758159,0.0001644673],"domain_scores_gemma":[0.9988556,0.00003357524,0.0003424037,0.0001257055,0.00040506,0.0002376373],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004878777,0.000266901,0.140261,0.0002011311,0.00006065105,0.00003248057,0.0005746593,6.325027e-7,0.001108349,0.00006627862,0.009740102,0.8471999],"study_design_scores_gemma":[0.008370408,0.003179856,0.7224169,0.002066963,0.0002535781,0.00001562634,0.0006652806,0.00001572372,0.01000449,0.0001303095,0.2525927,0.0002881265],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923951,0.0004413686,0.001824869,0.001751525,0.001256952,0.0007744959,0.000003083882,0.00001805696,0.001534569],"genre_scores_gemma":[0.9976777,0.0005447019,0.0003644026,0.0003502453,0.0007399406,0.00002084268,0.000005885266,0.00001384906,0.0002824677],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8469118,"threshold_uncertainty_score":0.3447573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03557528796684232,"score_gpt":0.3324076329152418,"score_spread":0.2968323449483994,"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."}}