{"id":"W2979983621","doi":"10.1111/hir.12280","title":"Extending medical librarians’ competencies to enhance collection organisation","year":2019,"lang":"en","type":"article","venue":"Health Information & Libraries Journal","topic":"Health Sciences Research and Education","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metadata; Cataloging; Medical library; Lifelong learning; Curriculum; Competence (human resources); Continuing education; Medical education; Library science; Collection development; Professional development; Computer science; Knowledge management; World Wide Web; Sociology; Medicine; Psychology; Pedagogy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02752647,0.0002838265,0.0003230781,0.00389506,0.00348402,0.006740883,0.001700347,0.001522747,0.008895433],"category_scores_gemma":[0.05475053,0.0004563583,0.0004864309,0.002457785,0.003228156,0.007024876,0.0103324,0.001614596,0.003712814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004470103,"about_ca_system_score_gemma":0.03638798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006038274,"about_ca_topic_score_gemma":0.01442245,"domain_scores_codex":[0.9864888,0.006792988,0.001059013,0.0005916812,0.003370944,0.001696644],"domain_scores_gemma":[0.9182366,0.03985244,0.007384622,0.00780486,0.01326708,0.01345441],"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":[0.00006223708,0.001331157,0.05377367,0.002577274,0.00003923297,0.0004862814,0.05380767,0.0009430696,0.00199866,0.03014272,0.0496583,0.8051797],"study_design_scores_gemma":[0.0000918563,0.0006417996,0.1293298,0.004959125,0.00005598701,0.002596831,0.0565888,0.001109502,0.006877876,0.03092259,0.7666931,0.0001327974],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3259782,0.006585886,0.08031277,0.07216301,0.0006426777,0.002386264,0.000415475,0.002167567,0.5093481],"genre_scores_gemma":[0.79506,0.004547667,0.1526583,0.008634179,0.0004560355,0.0008795862,0.0004111187,0.0001587254,0.03719439],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02752647,"threshold_uncertainty_score":0.1455756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06315875565101346,"score_gpt":0.4319393713273653,"score_spread":0.3687806156763518,"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."}}