{"id":"W4303437861","doi":"10.7202/1092261ar","title":"Le Programme francophone des autorités de noms : une collaboration prometteuse","year":2022,"lang":"fr","type":"article","venue":"Documentation et bibliothèques","topic":"Library Science and Information Systems","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Political science; Humanities; French; 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":[],"consensus_categories":[],"category_scores_codex":[0.0106683,0.0005437852,0.0004932306,0.002529619,0.0094866,0.007340714,0.001457276,0.002143329,0.05661887],"category_scores_gemma":[0.0108882,0.0003485121,0.0004712258,0.003539366,0.003352811,0.002847607,0.005606043,0.002156641,0.01010346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02824936,"about_ca_system_score_gemma":0.1378774,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.7344497,"about_ca_topic_score_gemma":0.8192856,"domain_scores_codex":[0.993057,0.001421552,0.0001665555,0.0006519744,0.002752974,0.001949865],"domain_scores_gemma":[0.9744757,0.001626704,0.0007031268,0.001417523,0.01028763,0.01148938],"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":[0.0002758633,0.0001790557,0.01707078,0.0006066721,0.0000422669,0.0004454576,0.02259001,0.0005692699,0.004116174,0.09061474,0.4724005,0.3910893],"study_design_scores_gemma":[0.000007525367,0.00002230328,0.008795806,0.0001126303,0.000003525774,0.00003907832,0.002254766,0.00006066756,0.0001900042,0.0005165081,0.9879848,0.00001246587],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08275351,0.009866076,0.02327742,0.07664802,0.005380956,0.001495269,0.005133456,0.001714725,0.7937306],"genre_scores_gemma":[0.1953343,0.003123886,0.01253161,0.003902064,0.000453651,0.000384748,0.002509371,0.0005973053,0.7811631],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7344497,"threshold_uncertainty_score":0.5342283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02973755823094766,"score_gpt":0.3009932170359604,"score_spread":0.2712556588050128,"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."}}