{"id":"W4386165123","doi":"10.31219/osf.io/aqvcu","title":"Improving digital literacy in a digital world: Development of an evidence-based digital literacy program and assessment tool to evaluate youth digital literacy","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Child Development and Digital Technology","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Digital literacy; Literacy; Curriculum; Computer science; Information literacy; Digital media; Fluency; Multimedia; World Wide Web; Psychology; Mathematics education; Pedagogy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.05330924,0.0007993809,0.00252107,0.008419464,0.001505953,0.004105234,0.002625485,0.001753921,0.002118086],"category_scores_gemma":[0.06826418,0.000825744,0.00385354,0.007303908,0.0008345029,0.004861028,0.003559506,0.002376113,0.0005111271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007351927,"about_ca_system_score_gemma":0.04426777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0149788,"about_ca_topic_score_gemma":0.06274673,"domain_scores_codex":[0.973774,0.009538636,0.006002434,0.0007198831,0.008977603,0.0009875321],"domain_scores_gemma":[0.9603831,0.01467418,0.004683466,0.0009310352,0.01758268,0.001745595],"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":[0.0007881856,0.009304702,0.07694959,0.06174486,0.001251154,0.000430588,0.0081173,0.001122045,0.001343833,0.002770886,0.006321202,0.8298556],"study_design_scores_gemma":[0.005529936,0.02147896,0.4925077,0.2936222,0.01354246,0.001292258,0.02608253,0.009503704,0.01326817,0.005963542,0.1165429,0.0006656967],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5562973,0.0568715,0.05500034,0.01234045,0.001129916,0.2597942,0.007572362,0.0006363315,0.05035766],"genre_scores_gemma":[0.3792191,0.04128871,0.4479658,0.002188053,0.00009991793,0.1234721,0.003203887,0.00004928286,0.002513153],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05330924,"threshold_uncertainty_score":0.2819296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05932271693136298,"score_gpt":0.3889723223518965,"score_spread":0.3296496054205336,"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."}}