{"id":"W3182820191","doi":"10.2196/17839","title":"The Effect of an Automated Mobile Patient Engagement Application on Emergency Department Revisits: Prospective Observational Study","year":2021,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Emergency and Acute Care Studies","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Emergency department; Observational study; Digital health; Medicine; Medical emergency; Health care; Health information exchange; Community engagement; Nursing; Health information; Public relations","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.005892784,0.0006185537,0.0008267672,0.001102534,0.001221725,0.001761668,0.0009123611,0.001648212,0.00263678],"category_scores_gemma":[0.0249528,0.0006662742,0.001942498,0.001190358,0.0005931937,0.001960543,0.001290327,0.002741102,0.0007355553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001210902,"about_ca_system_score_gemma":0.001531917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005409177,"about_ca_topic_score_gemma":0.005538287,"domain_scores_codex":[0.9941884,0.00224968,0.001068148,0.0008920804,0.001001207,0.0006003959],"domain_scores_gemma":[0.9738623,0.008639773,0.01031805,0.00150424,0.003076407,0.00259918],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002837355,0.00648767,0.9778829,0.0003495253,0.0005792023,0.0001255949,0.001273387,0.0001765833,0.0001787969,0.00006052755,0.00115097,0.008897552],"study_design_scores_gemma":[0.0004047693,0.01055267,0.9829862,0.0002103207,0.0004105176,0.000162995,0.002332295,0.001071773,0.0001824785,0.00006298254,0.001552648,0.00007038705],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975075,0.0004217764,0.0001498596,0.0001054052,0.00002095162,0.0003761413,0.0007141493,0.000009167947,0.000695046],"genre_scores_gemma":[0.9976192,0.0002707634,0.0004316608,0.0002225682,0.00004183397,0.0004834,0.0006742523,0.00001047128,0.0002458266],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005892784,"threshold_uncertainty_score":0.03116441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06149678744283035,"score_gpt":0.4606517502523413,"score_spread":0.399154962809511,"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."}}