{"id":"W4224228180","doi":"10.29173/cais1311","title":"AUTOMATING A RETROSPECTIVE CANADIAN UNION CATALOG: A PROPOSAL / UNE PROPOSITION POUR CREER UN CATALOGUE COLLECTIF CANADIEN DES DOSSIERS-MACHINE RETROSPECTIFS","year":2022,"lang":"fr","type":"article","venue":"Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI","topic":"Library Science and Information Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Union catalog; Library science; Computer science; Collocation (remote sensing); Humanities; Database; Cataloging; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.01186488,0.001498215,0.001141786,0.01474661,0.006391705,0.0158082,0.004066539,0.002015344,0.01401894],"category_scores_gemma":[0.02090486,0.002108055,0.001602907,0.01491826,0.005538875,0.009326004,0.006373712,0.002131795,0.008888233],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01294635,"about_ca_system_score_gemma":0.05996593,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5638974,"about_ca_topic_score_gemma":0.4873741,"domain_scores_codex":[0.9882517,0.00153617,0.0008547619,0.002285489,0.006007337,0.001064458],"domain_scores_gemma":[0.9795799,0.00223537,0.001067556,0.006816905,0.00928928,0.001010956],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001792468,0.000184175,0.01364986,0.0008072711,0.00007442095,0.000351977,0.01084682,0.003461739,0.0183444,0.08273882,0.05005267,0.8193086],"study_design_scores_gemma":[0.00007997307,0.0001024433,0.01235313,0.0004217598,0.0001201854,0.0005686561,0.003310227,0.008980513,0.02498344,0.009061877,0.9397537,0.0002641205],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01748856,0.001363024,0.9221406,0.004673301,0.0003874884,0.002729864,0.004183275,0.01476799,0.03226582],"genre_scores_gemma":[0.0270964,0.0006509559,0.9341118,0.0003885471,0.00009422976,0.0008937508,0.005236865,0.00157776,0.02994959],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9870536,"threshold_uncertainty_score":0.8773419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01611290675648909,"score_gpt":0.2162240715211693,"score_spread":0.2001111647646802,"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."}}