{"id":"W4402785757","doi":"10.18438/eblip30553","title":"A Survey of Public Library-Led Digital Literacy Training in Canada: Perceptions of Administrators and Instructors","year":2024,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Library Science and Information Literacy","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University; McMaster University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Perception; Medical education; Training (meteorology); Literacy; Information literacy; Adult literacy; Library science; Psychology; Pedagogy; Computer science; Medicine; Geography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.003708944,0.000199653,0.0003583879,0.001919935,0.005286547,0.002791862,0.0008937594,0.0004281282,0.003789934],"category_scores_gemma":[0.01074389,0.0004455723,0.0002903734,0.003912454,0.001605532,0.0008452551,0.001620689,0.0009915011,0.0005761275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03415961,"about_ca_system_score_gemma":0.08336686,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9592632,"about_ca_topic_score_gemma":0.9754038,"domain_scores_codex":[0.9943746,0.0008871828,0.0003644201,0.0003365449,0.002423477,0.001613779],"domain_scores_gemma":[0.9745957,0.002796761,0.002953003,0.0003328628,0.01416408,0.005157653],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001375576,0.0002790292,0.8427436,0.000379705,0.00002460451,0.0005127836,0.08737993,0.0002003457,0.002849541,0.0003949672,0.009291199,0.05580682],"study_design_scores_gemma":[0.000008380167,0.0001370414,0.8431614,0.0001390202,0.0000121634,0.00007892438,0.1375152,0.0002209732,0.0005388947,0.0000273683,0.01811766,0.00004299827],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916694,0.0002515832,0.0002479758,0.001494665,0.00001552183,0.0001516227,0.0008921312,0.00003500848,0.005242227],"genre_scores_gemma":[0.9927511,0.0007040235,0.0007179143,0.0008656397,0.00001410423,0.0001373754,0.000485591,0.0000154986,0.004308816],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04073679,"threshold_uncertainty_score":0.2478465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.026058528240004,"score_gpt":0.2887090501225192,"score_spread":0.2626505218825153,"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."}}