{"id":"W4238724990","doi":"10.4324/9781315865102-7","title":"The Organization of the Cataloguing Function at McMaster University","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Library Science and Information Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Function (biology); Library science; Computational biology; Biology; Computer science; Information retrieval; Evolutionary biology","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001138965,0.0007223058,0.0005362988,0.0061319,0.007229043,0.01599875,0.002343062,0.00198867,0.1097006],"category_scores_gemma":[0.0020341,0.0008920595,0.0003744715,0.01309464,0.004191636,0.005365716,0.002205473,0.001755172,0.05379088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0412047,"about_ca_system_score_gemma":0.04841615,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5072863,"about_ca_topic_score_gemma":0.6139579,"domain_scores_codex":[0.9980468,0.0001754298,0.00009426759,0.0002609995,0.001049985,0.0003725711],"domain_scores_gemma":[0.9982166,0.0001771656,0.00009957566,0.0003075699,0.0006823348,0.0005167127],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002393442,0.00002222467,0.0007072667,0.0002919772,0.000004837221,0.0001715833,0.002542873,0.0002503685,0.001523471,0.1477324,0.6607316,0.1859976],"study_design_scores_gemma":[0.000001920799,0.000004642724,0.001067529,0.00006327049,0.000003789512,0.00006265611,0.0002036839,0.0000858468,0.0003201511,0.001476975,0.9966956,0.00001386791],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.004034112,0.01458405,0.004844202,0.01317284,0.0009988107,0.0001700269,0.00147433,0.002483322,0.9582383],"genre_scores_gemma":[0.01504204,0.00709354,0.003914713,0.000836618,0.0002342471,0.00006464953,0.0007494115,0.000580328,0.9714844],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9840012,"threshold_uncertainty_score":0.9912309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01150158680524491,"score_gpt":0.1513068748076219,"score_spread":0.139805288002377,"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."}}