{"id":"W4402841132","doi":"10.1080/01639374.2024.2406770","title":"Cataloging and Classification: An Introduction","year":2024,"lang":"en","type":"article","venue":"Cataloging & Classification Quarterly","topic":"Library Science and Information Systems","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Cataloging; Computer science; Library science; Resource Description and Access; Information retrieval; World Wide Web","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0007501332,0.0001849861,0.0001497455,0.0003763747,0.0003238812,0.002381673,0.0007703893,0.0000950422,0.000013574],"category_scores_gemma":[0.00002272769,0.0001659729,0.00004446369,0.0009167168,0.0001429998,0.0133485,0.0000423522,0.0001885467,0.000485687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007849638,"about_ca_system_score_gemma":0.0001389552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009392327,"about_ca_topic_score_gemma":0.000002404204,"domain_scores_codex":[0.998041,0.00009596405,0.000487673,0.0007538369,0.0003307607,0.0002908148],"domain_scores_gemma":[0.9986078,0.0000678401,0.0001346415,0.0009194285,0.00009731992,0.0001730259],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002318618,0.00002849362,0.0004028481,0.00007697621,0.00001194836,0.000004434959,0.01552535,0.000008532611,0.01233838,0.6335942,0.009034246,0.3289723],"study_design_scores_gemma":[0.0002044919,0.0003501422,0.04165728,0.00005745392,0.000008167798,0.0003018698,0.007561982,0.6808447,0.0005971516,0.006055367,0.261731,0.0006303546],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07812298,0.000552289,0.8768589,0.03469225,0.003453591,0.0004917501,0.00001892007,0.002400148,0.003409107],"genre_scores_gemma":[0.9953136,0.00001480181,0.003011163,0.0002810557,0.0005599904,0.0000607405,0.0002744845,0.00001202572,0.0004720899],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9171907,"threshold_uncertainty_score":0.9986539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03408213093768332,"score_gpt":0.2635630983851068,"score_spread":0.2294809674474235,"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."}}