{"id":"W4399831706","doi":"10.1515/9782760520110-010","title":"Les apports du droit et de l’histoire au développement de la normalisationm, en archivistique au Qué","year":2009,"lang":"fr","type":"book-chapter","venue":"Presses de l'Université du Québec eBooks","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal; Université de Montréal","funders":"","keywords":"Political science; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.003288206,0.0007491776,0.0003768642,0.003105256,0.01144832,0.01321364,0.001611927,0.001839529,0.01219948],"category_scores_gemma":[0.005038748,0.0004486858,0.0002977716,0.004165109,0.02261045,0.004549166,0.00245874,0.003518645,0.001217033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05522157,"about_ca_system_score_gemma":0.02865021,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7537439,"about_ca_topic_score_gemma":0.8272427,"domain_scores_codex":[0.9978632,0.0007657615,0.00006219553,0.0002398671,0.0006619616,0.0004070017],"domain_scores_gemma":[0.9983896,0.0004682198,0.0001244154,0.0002441313,0.0006154827,0.0001582556],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003727139,0.0000219106,0.001431829,0.0002041816,0.000007941041,0.0004608884,0.1372751,0.0002499942,0.0008789241,0.7567399,0.04478069,0.05791146],"study_design_scores_gemma":[0.000004261121,0.00001367342,0.005261587,0.0003751338,0.000006893619,0.0002944842,0.03776605,0.0001560842,0.0006541831,0.01632011,0.9391283,0.00001926531],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0567224,0.03949906,0.008647155,0.03587859,0.002297103,0.0001101814,0.0003202129,0.0002040585,0.8563213],"genre_scores_gemma":[0.3751837,0.01290042,0.00351385,0.001784355,0.0003338128,0.00008913568,0.0001368905,0.0003295799,0.6057283],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2462561,"threshold_uncertainty_score":0.4954126,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04236179191938556,"score_gpt":0.2356751554243249,"score_spread":0.1933133635049394,"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."}}