{"id":"W1825597183","doi":"10.2196/mededu.4411","title":"Digital Literacy in the Medical Curriculum: A Course With Social Media Tools and Gamification","year":2015,"lang":"en","type":"article","venue":"JMIR Medical Education","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":93,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Semmelweis Egyetem","keywords":"Curriculum; Medical education; Social media; The Internet; Digital literacy; Multimedia; Digital media; Psychology; Mathematics education; Computer science; Medicine; Pedagogy; 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":[0.001874896,0.001375393,0.0007942406,0.001109014,0.0009243927,0.001258617,0.001011834,0.001179481,0.005286367],"category_scores_gemma":[0.002553542,0.0003636741,0.0007402636,0.0007422281,0.0005938584,0.0009852481,0.002455402,0.001312148,0.001225328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008647409,"about_ca_system_score_gemma":0.001510524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000692611,"about_ca_topic_score_gemma":0.001410144,"domain_scores_codex":[0.9993,0.0002076609,0.00003101975,0.0001057857,0.0001408156,0.0002147716],"domain_scores_gemma":[0.9983199,0.0004456184,0.00009891791,0.00007574346,0.00009760133,0.0009621595],"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":[0.002415116,0.1642008,0.01383802,0.0007927297,0.00006306895,0.001065164,0.00897368,0.004627714,0.01420381,0.002429856,0.02037762,0.7670124],"study_design_scores_gemma":[0.013174,0.1917583,0.300583,0.003189172,0.0006709649,0.003584783,0.02117754,0.06121172,0.07801289,0.02496504,0.3008726,0.0008000144],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9711076,0.0004311748,0.01080672,0.001635473,0.0002862044,0.002703103,0.0001741785,0.0004604734,0.01239512],"genre_scores_gemma":[0.8452374,0.001351547,0.1288019,0.001182576,0.000234719,0.00408626,0.0005760536,0.00007703742,0.0184525],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.005286367,"threshold_uncertainty_score":0.01768464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05947751517163237,"score_gpt":0.4426890968860949,"score_spread":0.3832115817144626,"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."}}