{"id":"W2565167600","doi":"","title":"Information literacy in CEAB's accreditation criteria: the hidden attribute","year":2009,"lang":"en","type":"article","venue":"QSpace (Queen's University Library)","topic":"Library Science and Information Literacy","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Accreditation; Information literacy; Computer science; Artificial intelligence; World Wide Web; Political science","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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.000230438,0.0001254714,0.0001265901,0.0003735775,0.0006472435,0.0007435033,0.0007031314,0.0001101122,0.0006099729],"category_scores_gemma":[0.00009417188,0.0001111744,0.00007060604,0.001518758,0.0001485716,0.09776126,0.00009047959,0.0002032125,0.0002040589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008885733,"about_ca_system_score_gemma":0.0003321796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001815699,"about_ca_topic_score_gemma":0.000008190408,"domain_scores_codex":[0.998641,0.0002494497,0.0002271533,0.0001258518,0.0003987272,0.000357798],"domain_scores_gemma":[0.9992374,0.0001412189,0.0001714309,0.0002302632,0.00007681471,0.0001428781],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009997605,0.00006405063,0.01461733,0.00001457686,0.000008973867,0.00001591061,0.1422535,0.00003724326,0.0000018841,0.1718429,0.6507618,0.02028182],"study_design_scores_gemma":[0.0002963029,0.00005217345,0.0945656,0.00002742193,0.000004416922,1.289787e-7,0.0203392,0.00004550819,0.00005296732,0.001583465,0.8828675,0.0001653401],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2402686,0.0000114897,0.0003940465,0.6751898,0.0004753495,0.0005656601,0.00004880821,0.0003490426,0.08269724],"genre_scores_gemma":[0.9657423,0.0001630087,0.001238047,0.008528198,0.0002148471,9.627769e-7,0.0001919712,0.000004656634,0.02391596],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7254738,"threshold_uncertainty_score":0.9148579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00844794284344672,"score_gpt":0.234098900153651,"score_spread":0.2256509573102043,"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."}}