{"id":"W2165119358","doi":"10.2196/jmir.3138","title":"Medical Students and Personal Smartphones in the Clinical Environment: The Impact on Confidentiality of Personal Health Information and Professionalism","year":2014,"lang":"en","type":"article","venue":"Journal of Medical Internet Research","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":85,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trillium Health Centre; University Health Network","funders":"","keywords":"Confidentiality; Mobile phone; Phone; Personally identifiable information; Internet privacy; Personal care; Health care; Medicine; Psychology; Applied psychology; Family medicine; Computer science; Computer security","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005235575,0.0001704994,0.0002953984,0.0004667259,0.001934634,0.003128836,0.0004167755,0.0007920548,0.005433608],"category_scores_gemma":[0.02627213,0.0002498561,0.0005591116,0.0003888907,0.001958593,0.001144875,0.003843264,0.001357374,0.0003964168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001493522,"about_ca_system_score_gemma":0.003990047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003852943,"about_ca_topic_score_gemma":0.006532067,"domain_scores_codex":[0.992477,0.004205158,0.0003753562,0.0002443113,0.001610054,0.001088089],"domain_scores_gemma":[0.9698807,0.0095965,0.008202882,0.0007214778,0.002477435,0.009120917],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003279785,0.0007526152,0.8729175,0.0003010851,0.00007738827,0.0005615009,0.06093964,0.0000623357,0.001253997,0.0005250062,0.002122234,0.06015879],"study_design_scores_gemma":[0.00004439129,0.001124166,0.8465294,0.0004922948,0.0001048752,0.001659202,0.1403025,0.0002739106,0.001032926,0.0004134412,0.007974309,0.00004848458],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940423,0.0005688574,0.00009549796,0.002696664,0.00004031739,0.0000130696,0.00002026035,0.000003303616,0.002519668],"genre_scores_gemma":[0.9987954,0.0003823024,0.0000888952,0.0003266277,0.00002042426,0.000006666236,0.000009559987,0.000001432124,0.0003685805],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005433608,"threshold_uncertainty_score":0.02768868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1767475060993462,"score_gpt":0.6053906549693732,"score_spread":0.428643148870027,"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."}}