{"id":"W1511459759","doi":"10.2196/mhealth.4438","title":"The Prevalence and Characteristics of Emergency Medicine Patient Use of New Media","year":2015,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Emergency department; Ethnic group; Medicine; Phone; mHealth; Health care; Family medicine; Medical emergency; Nursing; Psychological intervention","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":[0.0007207313,0.0001205186,0.0001797692,0.0008994078,0.000199456,0.0006278304,0.0002891107,0.0004737459,0.00254125],"category_scores_gemma":[0.004428286,0.0001392655,0.0001886877,0.0007500945,0.000250391,0.0006141558,0.0004457138,0.0004548736,0.0001981691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002553935,"about_ca_system_score_gemma":0.0002546238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002185555,"about_ca_topic_score_gemma":0.002730174,"domain_scores_codex":[0.9994397,0.0001577868,0.0001087852,0.00008318176,0.0001323291,0.00007826561],"domain_scores_gemma":[0.9964098,0.0009230619,0.001910567,0.00008484174,0.0003143367,0.0003573961],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003016472,0.00002933258,0.9986791,0.00000995736,0.00001171746,0.00005344711,0.0001384289,0.00001348009,0.00005534323,0.000009482108,0.000128152,0.0008414153],"study_design_scores_gemma":[0.0000041343,0.00005423792,0.9984848,0.00001312618,0.000005702744,0.0003477417,0.0007692918,0.00009898757,0.00003549731,0.00000931645,0.0001738372,0.00000343449],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988852,0.0001185671,0.00002965646,0.0001152277,0.000003754902,0.0000114691,0.0003241187,0.000002216256,0.0005097197],"genre_scores_gemma":[0.999471,0.0001026776,0.00005397014,0.00005412012,0.000009053363,0.00001203035,0.0002134111,9.737646e-7,0.00008284276],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00254125,"threshold_uncertainty_score":0.008501291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2142172164307844,"score_gpt":0.4772225907635401,"score_spread":0.2630053743327557,"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."}}