{"id":"W4391613780","doi":"10.1186/s40561-024-00293-x","title":"Navigating the digital world: development of an evidence-based digital literacy program and assessment tool for youth","year":2024,"lang":"en","type":"article","venue":"Smart Learning Environments","topic":"Child Development and Digital Technology","field":"Social Sciences","cited_by":82,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; Toronto Metropolitan University; Lawson Health Research Institute; University of Waterloo","funders":"Canada Research Chairs; Canadian Internet Registration Authority","keywords":"Digital literacy; Curriculum; Literacy; Computer science; Digital media; Medical education; Psychology; World Wide Web; Pedagogy; Medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.06218171,0.0008213948,0.002655141,0.008446098,0.001749515,0.003987304,0.002640354,0.001715638,0.002414649],"category_scores_gemma":[0.06488071,0.001059131,0.004058671,0.006229756,0.0006987479,0.004100936,0.003942824,0.002605712,0.0005357154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005757653,"about_ca_system_score_gemma":0.03112171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008464599,"about_ca_topic_score_gemma":0.03446465,"domain_scores_codex":[0.9754301,0.01069059,0.0060035,0.0006795018,0.006203341,0.0009929122],"domain_scores_gemma":[0.9668968,0.01522779,0.004053432,0.0007853684,0.01135608,0.001680538],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0009215202,0.01148694,0.08381271,0.05172515,0.001159871,0.0007162469,0.01494745,0.001182951,0.001372197,0.001999496,0.00943123,0.8212443],"study_design_scores_gemma":[0.007543515,0.02169549,0.5385024,0.2455909,0.01070201,0.001684053,0.04377422,0.01246064,0.01091482,0.005171513,0.1011342,0.0008261391],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6889156,0.02547683,0.04030443,0.008856052,0.0009242639,0.2025293,0.006469904,0.0007767992,0.02574676],"genre_scores_gemma":[0.4684198,0.02249217,0.3727964,0.001552221,0.00008326057,0.1303504,0.002594854,0.00005152598,0.001659333],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06218171,"threshold_uncertainty_score":0.3288522,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0303181618969688,"score_gpt":0.3439173937086349,"score_spread":0.3135992318116662,"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."}}