{"id":"W2775421909","doi":"10.2196/mhealth.8855","title":"Usage Pattern Differences and Similarities of Mobile Electronic Medical Records Among Health Care Providers","year":2017,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Usability; Health records; Medical record; Internet privacy; Health care; Usage data; Mobile device; Computer science; World Wide Web; Medicine; Human–computer interaction","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":[0.002547754,0.0001039487,0.0002169818,0.00248974,0.0002630895,0.0008348918,0.0003413139,0.0003094997,0.001791074],"category_scores_gemma":[0.01955656,0.0001088826,0.0003447873,0.002017833,0.0003413297,0.001178676,0.0005957258,0.0002477763,0.0002846962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000391108,"about_ca_system_score_gemma":0.0003489042,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001496528,"about_ca_topic_score_gemma":0.002934105,"domain_scores_codex":[0.9968766,0.001094577,0.0007238521,0.0003862945,0.0007133991,0.0002053105],"domain_scores_gemma":[0.98265,0.008397269,0.005962682,0.0007128353,0.001819525,0.0004576395],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009232946,0.00004585843,0.981397,0.0001062182,0.00005891462,0.00005399776,0.00275584,0.00004501963,0.0004240627,0.00008323782,0.0001644553,0.01477295],"study_design_scores_gemma":[0.000002761113,0.00008868617,0.9945093,0.00004474941,0.00001829485,0.0003014195,0.003764719,0.0003837699,0.0001774538,0.00007770518,0.0006234032,0.00000787981],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981092,0.0002722875,0.0003393116,0.0001011577,0.000005604277,0.00002692329,0.0003033988,0.000007850083,0.0008342221],"genre_scores_gemma":[0.9990811,0.0001501143,0.0003540568,0.00002178449,0.000007349901,0.00002076123,0.0002432319,0.000003449636,0.0001180325],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002547754,"threshold_uncertainty_score":0.01347399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06914634154651701,"score_gpt":0.4539478327609944,"score_spread":0.3848014912144774,"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."}}