{"id":"W3009072081","doi":"10.5206/uwomj.v88i1.6188","title":"Mobile health technologies and medical records","year":2020,"lang":"en","type":"article","venue":"University of Western Ontario Medical Journal","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"mHealth; Health care; Internet privacy; Mobile technology; Resource (disambiguation); Business; Public health; Knowledge management; Mobile device; Medicine; Computer science; Nursing; Political science; World Wide Web","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":[0.003031405,0.0002355774,0.0002966778,0.003606786,0.001425944,0.006559223,0.0008682842,0.001819453,0.02624484],"category_scores_gemma":[0.03011401,0.0002224346,0.000268618,0.005502091,0.002123873,0.00663144,0.002788058,0.001103507,0.007678156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001976035,"about_ca_system_score_gemma":0.003282941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008964168,"about_ca_topic_score_gemma":0.007617597,"domain_scores_codex":[0.9961445,0.001651635,0.0004468413,0.0003561636,0.001171325,0.0002293989],"domain_scores_gemma":[0.9799216,0.01205955,0.003125795,0.001186531,0.002550944,0.001155629],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001051611,0.00008831546,0.02184471,0.002288315,0.00004489858,0.0007530954,0.006143113,0.0002713939,0.0003243033,0.1299376,0.2226898,0.6155092],"study_design_scores_gemma":[0.00001507837,0.00004933881,0.01829707,0.002815123,0.00002647925,0.001532766,0.005123149,0.0002430539,0.0002006148,0.02751945,0.9441319,0.00004597343],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03261529,0.1148422,0.01690363,0.1866327,0.005023554,0.0004895882,0.01112058,0.0009836465,0.6313887],"genre_scores_gemma":[0.5170577,0.2408921,0.03159681,0.02650948,0.008383178,0.000507414,0.009971167,0.0003011577,0.164781],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02624484,"threshold_uncertainty_score":0.08779776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03856892460936079,"score_gpt":0.3527035451803651,"score_spread":0.3141346205710043,"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."}}