{"id":"W1552319951","doi":"10.1108/01435121211279885","title":"Strategies for integrating information literacy and academic literacy","year":2012,"lang":"en","type":"article","venue":"Library Management","topic":"Library Science and Information Literacy","field":"Social Sciences","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Royal University","funders":"","keywords":"Information literacy; Reading (process); Jargon; Originality; Variety (cybernetics); Value (mathematics); Literacy; Medical education; Face (sociological concept); Mathematics education; Psychology; Computer science; Qualitative research; Pedagogy; Sociology; Social science; Medicine; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005748974,0.0006764637,0.0003940988,0.002888955,0.002532147,0.009449393,0.001596869,0.002170074,0.00820677],"category_scores_gemma":[0.0229418,0.0003753414,0.0007159864,0.002133603,0.006067473,0.01014639,0.01036462,0.002243648,0.001405633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001640464,"about_ca_system_score_gemma":0.00452106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008415767,"about_ca_topic_score_gemma":0.001368765,"domain_scores_codex":[0.9938577,0.003808212,0.0003440494,0.0004861819,0.000989467,0.0005142955],"domain_scores_gemma":[0.980996,0.01224833,0.001840749,0.001523123,0.001694475,0.00169726],"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":[0.00008744231,0.001058424,0.02395284,0.001815731,0.00009037226,0.002014415,0.1844336,0.0003972903,0.00486764,0.2136689,0.01285786,0.5547555],"study_design_scores_gemma":[0.00009717992,0.0007675368,0.02028812,0.003326924,0.0002059366,0.004251497,0.2376808,0.001771458,0.006845884,0.3361254,0.3885005,0.0001387107],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.2728314,0.007569579,0.1403005,0.06528939,0.0007445741,0.0008630262,0.00007676107,0.0009734945,0.5113513],"genre_scores_gemma":[0.8874123,0.003161529,0.0804473,0.004194381,0.0003135689,0.0004882694,0.00008967926,0.0001073011,0.0237857],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.009449393,"threshold_uncertainty_score":0.03040385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01735959141346532,"score_gpt":0.3112678769374406,"score_spread":0.2939082855239753,"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."}}