{"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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.002021566,0.0001229858,0.0002311868,0.0009513805,0.0004391638,0.001444033,0.0007683383,0.00008859551,0.0008182903],"category_scores_gemma":[0.000241506,0.0001015642,0.0001062341,0.001171337,0.0001400264,0.2264807,0.00005343744,0.0003015724,0.00008601756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000060528,"about_ca_system_score_gemma":0.003379839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001226636,"about_ca_topic_score_gemma":7.511279e-7,"domain_scores_codex":[0.9971074,0.0001632121,0.001504815,0.0001061155,0.000706385,0.000412086],"domain_scores_gemma":[0.9976383,0.0004129517,0.001380921,0.0001202391,0.0001682368,0.0002793358],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001645456,0.0001296226,0.236785,0.0002121303,0.0000110722,5.532895e-7,0.129737,0.0007975925,0.000003626786,0.41164,0.05003884,0.17048],"study_design_scores_gemma":[0.0008582583,0.0007917783,0.02009655,0.0003977719,0.000002536664,0.000009404674,0.01927602,0.002636642,0.00003347986,0.02043434,0.9352335,0.0002297551],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6386995,0.0005393457,0.0009590926,0.2820895,0.003149794,0.002123839,0.00007431678,0.0001615401,0.07220306],"genre_scores_gemma":[0.914188,0.0006644868,0.04275906,0.03804677,0.0008736819,0.00002387097,0.0003157313,0.00001577811,0.003112591],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8851946,"threshold_uncertainty_score":0.9995925,"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."}}