{"id":"W4379418984","doi":"10.1353/lib.2010.a407821","title":"The Blind Man Describes the Elephant: The Training Gaps Analysis for Librarians and Library Technicians","year":2010,"lang":"en","type":"article","venue":"Library trends","topic":"Library Science and Information Literacy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Library science; Continuing education; Descriptive statistics; Professional development; Human resources; Snapshot (computer storage); Work (physics); Medical education; Sociology; Management; Engineering; Medicine; Computer science","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":[0.01655797,0.0007753219,0.0007071162,0.008800031,0.007763422,0.00693713,0.001261435,0.002176468,0.006645689],"category_scores_gemma":[0.0480442,0.0005852618,0.001247519,0.009156086,0.005272133,0.01235405,0.006175257,0.003225629,0.001833683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005915386,"about_ca_system_score_gemma":0.01749475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0828049,"about_ca_topic_score_gemma":0.1320445,"domain_scores_codex":[0.9912048,0.003782154,0.0006330507,0.0007112278,0.002694842,0.0009737888],"domain_scores_gemma":[0.9818901,0.007187518,0.001992644,0.001446103,0.005955003,0.001528561],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003222271,0.000346138,0.1415406,0.0008961098,0.0002478512,0.001101925,0.1539352,0.0005918104,0.001539508,0.07513285,0.1883365,0.4360093],"study_design_scores_gemma":[0.00005996084,0.0004197248,0.1308025,0.003190883,0.0003066877,0.001700865,0.3167268,0.001978206,0.002830654,0.04406147,0.4975995,0.0003228513],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4606143,0.01744915,0.1333264,0.2199225,0.007272295,0.001584687,0.008671336,0.001349048,0.1498103],"genre_scores_gemma":[0.819535,0.007021806,0.08143284,0.02427948,0.0004848448,0.00117633,0.001677361,0.0006676803,0.06372467],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0828049,"threshold_uncertainty_score":0.1646458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02585892537141175,"score_gpt":0.2787445533237748,"score_spread":0.252885627952363,"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."}}