{"id":"W4400332946","doi":"10.1080/01639374.2024.2355734","title":"In Memoriam: Nancy J. Williamson","year":2024,"lang":"en","type":"article","venue":"Cataloging & Classification Quarterly","topic":"Oral History, Memory, Narrative Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Library science; Philosophy; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.001767632,0.0008565995,0.0007550921,0.001420422,0.004277232,0.005228227,0.001738273,0.002976256,0.1038577],"category_scores_gemma":[0.01240224,0.0003407352,0.000523582,0.0009163739,0.001285061,0.004065162,0.002687924,0.005846168,0.07934028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002431294,"about_ca_system_score_gemma":0.003440212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01421123,"about_ca_topic_score_gemma":0.03432087,"domain_scores_codex":[0.998698,0.0001627529,0.00009028215,0.000252144,0.0006824171,0.0001144088],"domain_scores_gemma":[0.9943973,0.0006727487,0.0002568425,0.0002210857,0.003670993,0.0007810731],"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":[0.000002269903,9.140789e-7,0.00001222358,0.000004335763,2.807741e-7,0.0000141326,0.00001893523,0.000001592269,0.000007150585,0.0001504639,0.9984895,0.001298089],"study_design_scores_gemma":[0.000001620198,0.000002751636,0.0001092918,0.00005302874,0.000001526857,0.00005297789,0.0001444389,0.00000932674,0.00003791452,0.0002301937,0.9993532,0.000003717614],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.0004405356,0.00692416,0.0005496824,0.4720904,0.4538065,0.00007250114,0.0007389067,0.000424727,0.06495269],"genre_scores_gemma":[0.005708853,0.006296475,0.0005592729,0.1363605,0.1079612,0.0001058261,0.0007081161,0.0003697511,0.7419299],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.1038577,"threshold_uncertainty_score":0.3474385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04393651848291071,"score_gpt":0.2714010490359206,"score_spread":0.2274645305530099,"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."}}