{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003022285,0.0003693325,0.0004023458,0.006472673,0.008179333,0.005325214,0.0016625,0.0006458058,0.003236798],"category_scores_gemma":[0.01646848,0.0003010514,0.0003627866,0.008337461,0.002772407,0.001774725,0.00460453,0.001228875,0.0005067847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07381313,"about_ca_system_score_gemma":0.1456241,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9819308,"about_ca_topic_score_gemma":0.9914539,"domain_scores_codex":[0.9947285,0.000480974,0.0002123818,0.0002435364,0.002773334,0.001561301],"domain_scores_gemma":[0.9829912,0.001433989,0.001609161,0.0002777604,0.007428672,0.006259311],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009201433,0.0004262225,0.8451623,0.0002296616,0.00003185649,0.0001742933,0.02231597,0.0005770322,0.0003048054,0.003457933,0.006372537,0.1208554],"study_design_scores_gemma":[0.000009946435,0.00009926521,0.9545134,0.0002266148,0.00002590817,0.00007032583,0.02496546,0.0006818502,0.0006986715,0.0004246942,0.01824258,0.00004135378],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9271658,0.001301387,0.0007095378,0.001998817,0.00004324082,0.000620743,0.001883922,0.0001067682,0.06616971],"genre_scores_gemma":[0.9873053,0.0007427172,0.001219692,0.0001756822,0.00001046639,0.000202148,0.0005730523,0.00002293488,0.009747986],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07381313,"threshold_uncertainty_score":0.5355543,"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."}}