{"id":"W4256354480","doi":"10.11645/12.2.2344","title":"Beyond databases","year":2018,"lang":"en","type":"article","venue":"Journal of Information Literacy","topic":"Library Science and Information Literacy","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Information literacy; Computer science; Medical education; Mathematics education; Psychology; World Wide Web; Medicine","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.005708481,0.0007966146,0.001518272,0.00755299,0.001487914,0.0147546,0.00354056,0.002268318,0.09954864],"category_scores_gemma":[0.02899895,0.000758223,0.001259707,0.01062255,0.001116507,0.02667747,0.007315469,0.002393225,0.09756562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001584664,"about_ca_system_score_gemma":0.003615306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004357017,"about_ca_topic_score_gemma":0.003440032,"domain_scores_codex":[0.994041,0.001429733,0.001089613,0.001362094,0.001807206,0.0002702952],"domain_scores_gemma":[0.9757726,0.006671766,0.00141,0.01014278,0.004232768,0.001769945],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002840893,0.0001126523,0.003423633,0.002317934,0.0001597979,0.0004173332,0.001173628,0.0009426654,0.002831341,0.1866479,0.3393113,0.4623778],"study_design_scores_gemma":[0.00001149443,0.00002095625,0.0006000639,0.0004807271,0.00002162601,0.0002739633,0.0003160823,0.0007418091,0.0009278934,0.05159614,0.9449854,0.0000237616],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.00867125,0.03553518,0.2932933,0.02574361,0.002943867,0.0009381899,0.09936414,0.0508465,0.482664],"genre_scores_gemma":[0.1562739,0.04254475,0.2833208,0.01498849,0.002564198,0.0007761328,0.2550745,0.01213853,0.2323187],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9852454,"threshold_uncertainty_score":0.3330234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01583520323944583,"score_gpt":0.3260256113321141,"score_spread":0.3101904080926682,"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."}}