{"id":"W4361840222","doi":"10.1007/978-1-4842-9253-2_13","title":"Intelligent Cataloging and Metadata Management","year":2023,"lang":"en","type":"book-chapter","venue":"Apress eBooks","topic":"Advanced Database Systems and Queries","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Haystack; Metadata; Computer science; Data science; Cataloging; Task (project management); Quarter (Canadian coin); Data warehouse; World Wide Web; Big data; Database; Data mining; Engineering; Geography","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001714831,0.000295941,0.00031522,0.0001542618,0.0001224712,0.0001492215,0.0005890867,0.00009111745,0.00000425618],"category_scores_gemma":[0.00000496592,0.0002671407,0.00006234323,0.00001194476,0.00009122847,0.000288731,0.002216708,0.0001871231,0.0001007389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002268285,"about_ca_system_score_gemma":0.00001504372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004143139,"about_ca_topic_score_gemma":0.00003735436,"domain_scores_codex":[0.9985028,0.00001163302,0.0002924026,0.0006711119,0.0002786838,0.0002434041],"domain_scores_gemma":[0.9984438,0.00006228339,0.0001478501,0.001223181,0.00003024333,0.00009258845],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001279459,0.000001085864,1.741298e-7,0.0001235851,0.00008499738,0.0001393529,0.0001006374,0.000002322096,0.000005755596,0.9206817,0.000787513,0.07807165],"study_design_scores_gemma":[0.00006795364,0.00001448254,0.00000214396,0.0003057109,0.00003399834,0.00001980413,0.00001553617,0.0001141827,0.0001855067,0.03310268,0.9658062,0.0003317694],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[7.652212e-7,0.0005875219,0.5268054,0.00002791251,0.0004831221,0.0002995877,0.00010871,0.0002743137,0.4714127],"genre_scores_gemma":[0.00008086266,0.0003392407,0.02918588,0.0001132884,0.00008998351,0.00004284585,0.00008808032,0.00004924221,0.9700106],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9650187,"threshold_uncertainty_score":0.9999781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04670996567532511,"score_gpt":0.248627541474407,"score_spread":0.2019175757990819,"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."}}