{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.00127918,0.001208452,0.001399242,0.002433,0.0003965087,0.02244648,0.001712768,0.0005862157,0.00004736595],"category_scores_gemma":[0.002852726,0.001166201,0.0003768518,0.002508236,0.0005548848,0.01593336,0.003760372,0.001117321,0.00009540548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001073127,"about_ca_system_score_gemma":0.004170329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002184601,"about_ca_topic_score_gemma":0.0002722551,"domain_scores_codex":[0.9910308,0.00008380287,0.002653001,0.00241734,0.002161774,0.00165325],"domain_scores_gemma":[0.9953424,0.0009136745,0.0008617602,0.001120053,0.001020224,0.000741904],"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":[0.0001823302,0.001001629,0.05964267,0.0002728668,0.00009333676,0.00007133309,0.02021602,0.00002563952,0.000004778842,0.0004841441,0.00003856153,0.9179667],"study_design_scores_gemma":[0.02346145,0.008095379,0.4248755,0.05971117,0.000693188,0.00008604753,0.05289869,0.02800833,0.001160367,0.1202664,0.2446049,0.03613849],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9779866,0.0001924039,0.001736908,0.000804123,0.0006006539,0.004388021,0.0009608459,0.001511624,0.01181882],"genre_scores_gemma":[0.9737845,0.00002179472,0.01878045,0.000126464,0.0002077368,0.0005881726,0.00216798,0.00013875,0.004184159],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8818282,"threshold_uncertainty_score":0.9990788,"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."}}