{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.003389467,0.0009452292,0.001284054,0.001103912,0.001722522,0.01204766,0.004415009,0.0005138033,0.0001728842],"category_scores_gemma":[0.007818652,0.0008419012,0.0005346677,0.004557721,0.0007448341,0.0267269,0.004438578,0.001245323,0.000007848909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004915075,"about_ca_system_score_gemma":0.001754215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005943898,"about_ca_topic_score_gemma":0.00002446746,"domain_scores_codex":[0.9937288,0.0004632646,0.002043174,0.001125879,0.001559003,0.001079873],"domain_scores_gemma":[0.9734313,0.0005967581,0.004171324,0.0005531856,0.02091546,0.0003319783],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005932736,0.002086472,0.1056917,0.0109966,0.0004886617,0.0000255477,0.4961462,0.0001707269,0.01142011,0.236822,0.1127173,0.02284138],"study_design_scores_gemma":[0.003641563,0.001951842,0.03085763,0.004718999,0.0004899693,0.002119295,0.01125977,0.3731212,0.0577502,0.02672723,0.4841707,0.003191554],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.946685,0.0007275791,0.01004859,0.01675092,0.001899628,0.002559817,0.0008385496,0.0006238911,0.0198661],"genre_scores_gemma":[0.9787443,0.0002009888,0.01278512,0.0007595623,0.0005822432,0.0001411842,0.00009333075,0.0000852833,0.006607948],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4848864,"threshold_uncertainty_score":0.9995771,"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."}}