{"id":"W4206070772","doi":"10.1086/717233","title":"Digital Literacy Training in Canada, Part 2: Defining and Measuring Success","year":2022,"lang":"en","type":"article","venue":"The Library Quarterly","topic":"Library Science and Administration","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Literacy; Information literacy; Vocational education; Digital literacy; Public relations; Medical education; Investment (military); Psychology; Pedagogy; Business; Political science; Medicine","routes":{"ca_aff":false,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0002838384,0.00006788386,0.00008487736,0.00004305858,0.0007958644,0.0005712479,0.0003548534,0.00001123458,0.0003550122],"category_scores_gemma":[0.00001155297,0.00005809318,0.00001728429,0.0003733656,0.00008466971,0.004878805,0.00004146023,0.0001562366,0.000002510602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003877904,"about_ca_system_score_gemma":0.001724687,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.09331297,"about_ca_topic_score_gemma":0.1929934,"domain_scores_codex":[0.9988636,0.0001872124,0.0001685605,0.000167004,0.0003369469,0.0002766743],"domain_scores_gemma":[0.9995686,0.0001858367,0.00005657757,0.0001007709,0.000003146024,0.00008506709],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003283452,0.00002251359,0.2890946,0.000007565432,0.000007509629,0.00008084295,0.2796845,0.00004325422,0.00001622386,0.03489629,0.001397288,0.3947166],"study_design_scores_gemma":[0.0005793358,0.0003983636,0.1270958,0.00006992139,0.000007822283,0.0000277154,0.5422459,0.0009147653,0.00004051754,0.02628251,0.3016935,0.0006438478],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9477426,0.0001449437,0.000002108035,0.00731896,0.0002378939,0.0001014371,0.00002500238,0.00003775131,0.04438934],"genre_scores_gemma":[0.9974303,0.000004134677,0.00002030224,0.0007079795,0.00009996234,0.00001711967,0.0000146278,0.000006575188,0.00169895],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3940727,"threshold_uncertainty_score":0.9127247,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02335991208470621,"score_gpt":0.2333650343785731,"score_spread":0.2100051222938669,"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."}}