{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.004304183,0.0001593371,0.0003064576,0.0006931368,0.003128946,0.0003194352,0.0004323816,0.0002068875,0.01340373],"category_scores_gemma":[0.001689133,0.0001358039,0.00004581285,0.001233116,0.00006207996,0.00789566,0.0001368098,0.001337147,0.006281781],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006870264,"about_ca_system_score_gemma":0.0140889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001995385,"about_ca_topic_score_gemma":0.00004231714,"domain_scores_codex":[0.9948871,0.0007396216,0.001643608,0.0001724235,0.001467168,0.001090132],"domain_scores_gemma":[0.9963846,0.0006253685,0.0007747708,0.0002378648,0.0003693443,0.0016081],"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":[0.0002692593,0.00005642259,0.04738402,0.001033898,0.00001551216,0.000001280139,0.09694454,0.00007922985,0.00003546387,0.01806675,0.7659913,0.07012233],"study_design_scores_gemma":[0.0005930156,0.0005546508,0.0893672,0.0005634751,0.000001662034,0.00005101632,0.0345723,0.002388686,0.00005666948,0.00148066,0.870159,0.0002116535],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5447425,0.0005402896,0.07040156,0.3051981,0.0220723,0.004908542,0.00003710806,0.000552809,0.05154676],"genre_scores_gemma":[0.8186384,0.00199863,0.02338647,0.1448664,0.0037823,0.0002744768,0.0002365572,0.00005499361,0.006761754],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2738959,"threshold_uncertainty_score":0.9981688,"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."}}