{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.007013286,0.002082407,0.002889699,0.01277261,0.003276673,0.0175236,0.003145635,0.004209395,0.1015003],"category_scores_gemma":[0.02224916,0.001667054,0.001201674,0.02010675,0.003916187,0.0195203,0.003655726,0.00596264,0.1395053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004412712,"about_ca_system_score_gemma":0.01123634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00800566,"about_ca_topic_score_gemma":0.009958147,"domain_scores_codex":[0.9907039,0.001720123,0.001615963,0.0007983203,0.004739439,0.0004222894],"domain_scores_gemma":[0.9801924,0.00549372,0.001086525,0.00180466,0.009718726,0.001703929],"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":[0.00001076553,0.00003204974,0.0001356207,0.000359752,0.000003428559,0.00003308049,0.0001571354,0.0002029363,0.0002380723,0.01691438,0.8723698,0.1095429],"study_design_scores_gemma":[0.000002623788,0.00001052626,0.0001763562,0.0003112333,0.000001510385,0.00004949965,0.00006161928,0.00006320718,0.00001929645,0.006059164,0.9932345,0.00001052981],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.001033347,0.1671686,0.07881799,0.08166125,0.111526,0.002863767,0.01428408,0.008855043,0.5337899],"genre_scores_gemma":[0.00689869,0.2041081,0.1069783,0.03387882,0.07060905,0.002874087,0.02038127,0.00542006,0.5488515],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9824764,"threshold_uncertainty_score":0.3395522,"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."}}