{"id":"W2978653832","doi":"10.2196/15091","title":"The Impact of an Automated Patient Digital Engagement Platform on Revisit Reduction","year":2019,"lang":"en","type":"article","venue":"Iproceedings","topic":"Emergency and Acute Care Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Emergency department; Medicine; Medical emergency; Clinical endpoint; Emergency medicine; Health care; Randomized controlled trial; Nursing; Internal medicine","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":[0.004876116,0.0006121364,0.0003655686,0.001172561,0.0004064415,0.001619578,0.0008191183,0.0007422772,0.003149967],"category_scores_gemma":[0.02952449,0.0001709714,0.0007855266,0.0005232916,0.0004307252,0.001221435,0.001684336,0.0006723723,0.000384091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008688553,"about_ca_system_score_gemma":0.001840277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002081519,"about_ca_topic_score_gemma":0.002022048,"domain_scores_codex":[0.99541,0.002644656,0.0003094275,0.0004622629,0.0007723506,0.0004012558],"domain_scores_gemma":[0.9790736,0.01356772,0.00290851,0.001196619,0.00153431,0.001719127],"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":[0.01000554,0.01692377,0.2017629,0.001280207,0.0004671131,0.0002582408,0.0009076769,0.02312847,0.005680964,0.001198925,0.007988909,0.7303974],"study_design_scores_gemma":[0.006361267,0.08478084,0.6198277,0.001054064,0.002066658,0.0006756931,0.003120737,0.2296726,0.0209894,0.004100677,0.02700553,0.000344898],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9867813,0.0004985766,0.004158531,0.001515312,0.0001089872,0.0008155589,0.0004657089,0.000680071,0.004976039],"genre_scores_gemma":[0.9910359,0.000159857,0.007199183,0.0003865982,0.00006685786,0.0003639579,0.0002459799,0.00002625392,0.0005155038],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004876116,"threshold_uncertainty_score":0.02578771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01831393596609213,"score_gpt":0.3179400654833848,"score_spread":0.2996261295172926,"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."}}