{"id":"W2992892598","doi":"10.11645/13.2.2520","title":"Re-visioning library support for undergraduate educational programmes in an academic health sciences library","year":2019,"lang":"en","type":"article","venue":"Journal of Information Literacy","topic":"Library Science and Information Literacy","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Information literacy; CINAHL; Curriculum; Medical education; Cochrane Library; Lifelong learning; MEDLINE; Library instruction; Biomedical sciences; Subject (documents); Library science; Psychology; Computer science; Medicine; Pedagogy; Political science; Nursing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["metaresearch"],"domain":"methods","study_design":"systematic_review","genre":"review","about_ca_system":false,"about_ca_topic":false,"confidence":"medium","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"systematic_review","genre":"review","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03958768,0.0005333076,0.001532765,0.008029484,0.002908884,0.02028144,0.003559853,0.003400291,0.009476798],"category_scores_gemma":[0.1176974,0.000539239,0.002033205,0.007750364,0.002502572,0.01587914,0.01118485,0.003967053,0.001811979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01382403,"about_ca_system_score_gemma":0.07294344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01214795,"about_ca_topic_score_gemma":0.03437039,"domain_scores_codex":[0.9726847,0.01772228,0.002847498,0.0006765975,0.004338572,0.001730359],"domain_scores_gemma":[0.8919248,0.06910904,0.008186169,0.00361601,0.01587967,0.0112844],"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":[0.0002527082,0.0005380193,0.004956,0.08398733,0.0005508917,0.0004326101,0.0222054,0.0002448799,0.0003940695,0.01464256,0.06141119,0.8103844],"study_design_scores_gemma":[0.0005025773,0.0009875222,0.02250387,0.239184,0.00162528,0.0006046685,0.05960507,0.0003057945,0.001299181,0.008666863,0.6645696,0.0001456338],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.08949436,0.4525621,0.005685466,0.2846054,0.006766352,0.004081944,0.0009819043,0.0006552675,0.1551673],"genre_scores_gemma":[0.5199215,0.3684129,0.03243304,0.05475087,0.002630207,0.002525451,0.001209222,0.0002142931,0.01790257],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03958768,"threshold_uncertainty_score":0.2093621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01961765254437995,"score_gpt":0.3677536510174974,"score_spread":0.3481359984731174,"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."}}