{"id":"W2268214779","doi":"","title":"Information literacy and library support in distributed learning at Royal Roads University","year":2002,"lang":"en","type":"article","venue":"","topic":"Library Science and Information Literacy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Royal Roads University","funders":"","keywords":"Information literacy; Library science; Literacy; Political science; Computer science; World Wide Web; Sociology; Pedagogy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.002520502,0.000148361,0.0003948623,0.001515653,0.005035224,0.007499766,0.0008532014,0.001277258,0.03880675],"category_scores_gemma":[0.02260463,0.0002653778,0.0002331052,0.001192949,0.001577243,0.002934162,0.004155017,0.002102177,0.002955034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007477597,"about_ca_system_score_gemma":0.01270452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08169214,"about_ca_topic_score_gemma":0.1185819,"domain_scores_codex":[0.99638,0.001618927,0.0002003508,0.0002505491,0.0005948892,0.0009552971],"domain_scores_gemma":[0.9790913,0.007712983,0.001446927,0.0003750456,0.002513438,0.008860193],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009571243,0.004316309,0.4069981,0.0004993469,0.00008440871,0.003101073,0.3023743,0.0007800204,0.001537435,0.01248987,0.03520535,0.2316567],"study_design_scores_gemma":[0.0001443944,0.001352093,0.5396695,0.0004367407,0.0001092865,0.001143739,0.3523887,0.001490482,0.002267585,0.006023155,0.09479583,0.0001786305],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9616905,0.0003394282,0.00008864568,0.009751162,0.00003855577,0.00001755947,0.00008637604,0.00003211015,0.02795565],"genre_scores_gemma":[0.9771416,0.0002116321,0.00009793112,0.0004351845,0.00003060803,0.00001246102,0.00003401572,0.00001663976,0.02201988],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08169214,"threshold_uncertainty_score":0.1624333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006963987354860678,"score_gpt":0.2065744687045667,"score_spread":0.199610481349706,"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."}}