{"id":"W2524719457","doi":"10.2196/mededu.5586","title":"Spaced Education and the Importance of Raising Awareness of the Personal Data Protection Act: A Medical Student Population-Based Study","year":2016,"lang":"en","type":"article","venue":"JMIR Medical Education","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Raising (metalworking); Enforcement; Law enforcement; Data Protection Act 1998; Personally identifiable information; Medical education; Population; Medical information; Business; Internet privacy; Public relations; Medicine; Political science; Family medicine; Computer security; Computer science; Environmental health; Engineering; Law","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":[0.0027686,0.0002685312,0.0005247486,0.001846715,0.001298204,0.002044133,0.0004915414,0.001429316,0.003425978],"category_scores_gemma":[0.00870544,0.0004861187,0.0007358799,0.001284419,0.00102645,0.001960622,0.001554941,0.001630898,0.0005782598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005736992,"about_ca_system_score_gemma":0.000999244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003053961,"about_ca_topic_score_gemma":0.002827022,"domain_scores_codex":[0.998031,0.0006662878,0.0002205991,0.0002106658,0.0004976229,0.000373829],"domain_scores_gemma":[0.9937098,0.001662953,0.002029778,0.0002440036,0.0008712442,0.001482152],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008928969,0.0007253432,0.9848496,0.00006440556,0.00003211104,0.0002305084,0.008477028,0.00001495903,0.0001926651,0.00006430098,0.000255006,0.005004839],"study_design_scores_gemma":[0.00002349298,0.001610649,0.9597932,0.00009854394,0.00005008244,0.000739062,0.03557906,0.0002247864,0.0001332186,0.00007646177,0.00163835,0.00003312846],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989076,0.000118463,0.00005892823,0.000230169,0.00001067994,0.00003328448,0.00003578246,0.000001686197,0.0006035293],"genre_scores_gemma":[0.9994484,0.0001063688,0.00004518574,0.0001546415,0.00001103718,0.00002317319,0.00002122399,0.00000195401,0.000188053],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003425978,"threshold_uncertainty_score":0.01464194,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06443550713850013,"score_gpt":0.5095585108143496,"score_spread":0.4451230036758494,"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."}}