{"id":"W4224305722","doi":"10.29173/cais1328","title":"SUBJECT HEADINGS AUTHORITY LIST (SHAL): A COMPUTERIZATION PROJECT AT CDA LIBRARY (SUBJECT HEADINGS AUTHORITY LIST (SHAL) / UN PROJET D'AUTOMISATION POUR LA BIBLIOTHEQUE DU MINISTERE D L'AGRICULTURE","year":2022,"lang":"fr","type":"article","venue":"Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI","topic":"Mathematics, Computing, and Information Processing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Subject (documents); Library science; Library of congress; Library of Congress Classification; Computer science; Library classification","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003554863,0.002478634,0.004929955,0.019774,0.004439932,0.01630472,0.003991052,0.004675407,0.7842431],"category_scores_gemma":[0.02118791,0.001560761,0.001557248,0.03707651,0.001813105,0.008956593,0.003455576,0.003384012,0.7783536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01036462,"about_ca_system_score_gemma":0.01770527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05027925,"about_ca_topic_score_gemma":0.02438498,"domain_scores_codex":[0.995092,0.0005837691,0.0006747678,0.0005691755,0.002560225,0.0005200371],"domain_scores_gemma":[0.9695932,0.003258185,0.001733977,0.003198815,0.01978831,0.002427485],"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":[0.0000160144,0.0000229113,0.0001328202,0.0002903297,0.000002013841,0.00001048555,0.00002193901,0.0000431956,0.000127286,0.002699359,0.9804493,0.0161844],"study_design_scores_gemma":[0.00002904803,0.00001375041,0.0005874073,0.0002037027,0.00000585587,0.00002023436,0.00003535379,0.0001124961,0.0003125377,0.0008997623,0.9977654,0.00001443858],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0003811835,0.001229261,0.004150162,0.007942376,0.007204023,0.001524719,0.2751858,0.01560688,0.6867756],"genre_scores_gemma":[0.002863474,0.002613334,0.01007559,0.00215803,0.004913267,0.001455089,0.257392,0.01001056,0.7085187],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9836953,"threshold_uncertainty_score":0.307751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02826680946747141,"score_gpt":0.250724833219057,"score_spread":0.2224580237515856,"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."}}