{"id":"W2972807366","doi":"10.1177/1833358319873968","title":"Protection of digital health information: Examining guidance from the physician regulatory colleges in Canada","year":2019,"lang":"en","type":"article","venue":"Health Information Management Journal","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Scope (computer science); Incentive; Business; Information and Communications Technology; Public relations; Thematic analysis; Corporate governance; Service (business); Political science; Marketing; Computer science; Qualitative research; Sociology; Economics","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.01288604,0.0001944007,0.0003155262,0.005225105,0.01501827,0.007531389,0.001625635,0.001654649,0.001813039],"category_scores_gemma":[0.07460564,0.0004001475,0.0002331267,0.01103498,0.006077133,0.00181914,0.003416967,0.00243098,0.0001893083],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1338582,"about_ca_system_score_gemma":0.4620091,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.983707,"about_ca_topic_score_gemma":0.9903688,"domain_scores_codex":[0.9808133,0.003626314,0.001131025,0.0007296932,0.0104932,0.003206521],"domain_scores_gemma":[0.8758665,0.0544067,0.01074679,0.001836808,0.04114023,0.01600303],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002092337,0.0003021082,0.1855701,0.003520554,0.00006028046,0.004378629,0.4080263,0.001130751,0.002017828,0.03967712,0.06525078,0.2898562],"study_design_scores_gemma":[0.00004301619,0.00009907816,0.2386298,0.002747142,0.00006106537,0.0005651116,0.3532619,0.0009886894,0.001591275,0.001835657,0.4000224,0.0001548814],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7714074,0.01098895,0.001589983,0.09954951,0.000200929,0.0006960558,0.001758808,0.0001016224,0.1137068],"genre_scores_gemma":[0.9804146,0.005321969,0.001915881,0.005292809,0.00003016174,0.00006933448,0.0003403279,0.00002006142,0.006594761],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9924686,"threshold_uncertainty_score":0.9712137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03942176412685695,"score_gpt":0.3447569162764054,"score_spread":0.3053351521495484,"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."}}