{"id":"W2967439563","doi":"10.7202/1060814ar","title":"L’Association des archivistes du Québec à travers « ses » histoires","year":2019,"lang":"fr","type":"article","venue":"Archives","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Humanities; Philosophy; Political science; 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":[0.002061308,0.0003300772,0.000230197,0.00371739,0.01554158,0.008083989,0.0009538629,0.001177572,0.01534124],"category_scores_gemma":[0.004323292,0.0002185865,0.0002387319,0.006771059,0.008121367,0.002371298,0.002182402,0.002010286,0.0006882754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06486417,"about_ca_system_score_gemma":0.06855643,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9720929,"about_ca_topic_score_gemma":0.9860541,"domain_scores_codex":[0.9982398,0.0004484626,0.0000522801,0.0001961885,0.0006599065,0.0004034782],"domain_scores_gemma":[0.9957429,0.0009751274,0.0003459745,0.0003025213,0.002127443,0.0005059842],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00009796489,0.00003762481,0.03201434,0.0005655481,0.00005997996,0.00104069,0.2492073,0.0006147925,0.001249077,0.4487437,0.1123077,0.1540614],"study_design_scores_gemma":[0.000003175913,0.000008590026,0.02787489,0.0004460809,0.00001788938,0.0001518597,0.05155911,0.0001551089,0.0002963921,0.003813955,0.9156458,0.00002717683],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2240732,0.04394463,0.005785006,0.09565378,0.00235314,0.0001192436,0.001934394,0.0001794204,0.6259571],"genre_scores_gemma":[0.788336,0.01526655,0.002228106,0.003198211,0.0002637731,0.00007254212,0.000367529,0.00009151897,0.1901756],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06486417,"threshold_uncertainty_score":0.4706247,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07899382239642157,"score_gpt":0.238075565067487,"score_spread":0.1590817426710654,"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."}}