{"id":"W2918205963","doi":"10.2196/12132","title":"An E-Learning Adaptation of an Evidence-Based Media Literacy Curriculum to Prevent Youth Substance Use in Community Groups: Development and Feasibility of REAL Media","year":2019,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Impact of Technology on Adolescents","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"National Cancer Institute; National Institute on Drug Abuse; National Institutes of Health","keywords":"Curriculum; Focus group; Usability; Medical education; Media literacy; General partnership; Psychology; Literacy; Multimedia; Computer science; Pedagogy; Medicine; Political science; Business","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008590359,0.0001068824,0.0002537909,0.0004327703,0.000307607,0.00006160694,0.0005465339,0.0001350176,0.00001511403],"category_scores_gemma":[0.002048324,0.0000996699,0.00002320021,0.0009783526,0.0004725395,0.002190669,0.0001130015,0.0007901727,0.000005233982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004800068,"about_ca_system_score_gemma":0.0003873916,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.009694478,"about_ca_topic_score_gemma":0.02234866,"domain_scores_codex":[0.9940683,0.003764593,0.0004393593,0.0001907562,0.001111025,0.0004259313],"domain_scores_gemma":[0.9975396,0.001006927,0.0002003221,0.0003569524,0.0006947584,0.0002014869],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001560969,0.0007262316,0.4786148,0.0001011885,0.000003262405,5.244282e-7,0.5092025,0.00003081714,0.000207474,0.0001422282,0.000001895442,0.01081301],"study_design_scores_gemma":[0.0004321003,0.0004917457,0.7878016,0.0008678322,0.000001381216,8.62349e-8,0.207426,0.0009247396,0.001791425,0.0001646588,0.000004694782,0.00009379679],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986396,0.00002969436,0.00005642816,0.0000647549,0.00003575808,0.001070383,0.00001320275,0.00003103833,0.00005909094],"genre_scores_gemma":[0.9984854,0.0000380946,0.001389195,0.00000716258,0.000007537808,0.00003299899,0.00002661488,0.000007395429,0.00000553741],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3091868,"threshold_uncertainty_score":0.9969001,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.161279768820822,"score_gpt":0.4517774674795194,"score_spread":0.2904976986586973,"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."}}