{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001490468,0.00002510642,0.00003000708,0.00007159146,0.00006512363,0.000174409,0.0004390966,0.00001074698,0.000005152039],"category_scores_gemma":[0.00002915403,0.00001947434,0.00001334239,0.0006168798,0.000009476163,0.002479445,0.0001139676,0.00001857508,0.003525635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002658207,"about_ca_system_score_gemma":0.00001801183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006980905,"about_ca_topic_score_gemma":1.558962e-7,"domain_scores_codex":[0.9996288,0.000006295209,0.00007097569,0.00007032588,0.0001169376,0.0001066072],"domain_scores_gemma":[0.9997199,0.00005051849,0.00001852747,0.0001752988,0.000009746748,0.00002597645],"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":[8.777615e-7,0.00001361405,0.0458718,0.00003775111,0.000009071297,0.00002840563,0.02415952,0.00114375,0.00380162,0.4747514,0.1457028,0.3044794],"study_design_scores_gemma":[0.0002618901,0.00006288966,0.09389203,0.00003228722,4.001101e-7,0.00002729833,0.0007205515,0.5302633,0.02895987,0.008415157,0.3369477,0.0004166297],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3645728,0.00005268035,0.5087227,0.01609306,0.002603934,0.0002048784,0.000003975941,0.003525743,0.1042202],"genre_scores_gemma":[0.9974959,0.000002108498,0.001308935,0.000613542,0.00003495254,0.000002664871,0.000002917757,9.039355e-7,0.0005380966],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6329231,"threshold_uncertainty_score":0.9972503,"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."}}