{"id":"W4386291187","doi":"10.1353/not.2023.a905312","title":"Cataloging","year":2023,"lang":"en","type":"article","venue":"Notes","topic":"Library Science and Information Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cataloging; Index (typography); Library science; World Wide Web; Computer science; Standardization; Library catalog; Diversity (politics); Political science; Law","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002093895,0.001169899,0.001057265,0.006938303,0.003540301,0.01748327,0.002441268,0.002457431,0.5662474],"category_scores_gemma":[0.01087287,0.0005263117,0.0007468922,0.01204651,0.001567947,0.0107946,0.005318021,0.002115481,0.5807058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002984111,"about_ca_system_score_gemma":0.004774264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005262746,"about_ca_topic_score_gemma":0.007538103,"domain_scores_codex":[0.9962508,0.0003936544,0.0004215244,0.000733096,0.001905301,0.0002956081],"domain_scores_gemma":[0.9936488,0.0005319138,0.0002576851,0.001985598,0.002960458,0.0006156066],"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":[0.00001215658,0.00001353846,0.0002168659,0.0001274611,0.000003421796,0.00003660932,0.0001061196,0.00003691877,0.0001862589,0.01694215,0.8546037,0.1277148],"study_design_scores_gemma":[0.000001481566,0.000002173149,0.00009275703,0.00003799288,6.343984e-7,0.00002975774,0.00003817687,0.00001311467,0.00003548316,0.001269715,0.9984755,0.000003191061],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004601368,0.004913318,0.004727073,0.006564624,0.0064822,0.0002749923,0.005904556,0.003474791,0.9671983],"genre_scores_gemma":[0.002686423,0.003573938,0.002953764,0.002682988,0.001669556,0.0001311885,0.007214332,0.0008974263,0.9781903],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4337526,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03870487207015245,"score_gpt":0.2486784374006256,"score_spread":0.2099735653304731,"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."}}