{"id":"W7030040564","doi":"","title":"Mémoire de l'Association des universités et collèges du Canada au sous-comité pour les droits à l'égalité","year":2015,"lang":"fr","type":"other","venue":"Bibliothèque et Archives nationales du Québec (Québec government)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Field (mathematics); Legislation; Context (archaeology)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002708503,0.0005108202,0.0004660124,0.004449235,0.007878309,0.005956897,0.001469968,0.003126728,0.05649744],"category_scores_gemma":[0.007960549,0.0005222293,0.0006305391,0.005712228,0.001277815,0.001269561,0.001442378,0.003073146,0.004721413],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05731829,"about_ca_system_score_gemma":0.164786,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9914472,"about_ca_topic_score_gemma":0.9949116,"domain_scores_codex":[0.9971473,0.0001790748,0.000106096,0.0001961022,0.00129728,0.001074025],"domain_scores_gemma":[0.990307,0.0006553564,0.0002741414,0.0002365343,0.006096259,0.002430792],"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":[0.00005018643,0.00003040526,0.004972366,0.0001217703,0.00001255949,0.00007096644,0.001162981,0.00008752895,0.00009144437,0.01280928,0.9622844,0.01830613],"study_design_scores_gemma":[0.00001829461,0.000007825996,0.04794401,0.0001655676,0.00001202147,0.00002685778,0.001480036,0.00009244245,0.0001714156,0.0003639273,0.9496901,0.00002750991],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.03180632,0.01888049,0.00155368,0.1387006,0.01216047,0.0006927379,0.1776353,0.0007862743,0.6177843],"genre_scores_gemma":[0.05190447,0.003426302,0.001056491,0.006606548,0.0005618945,0.0002760332,0.008581337,0.0001496172,0.9274375],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9426817,"threshold_uncertainty_score":0.4158753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009497601464062495,"score_gpt":0.2102444665167134,"score_spread":0.2007468650526509,"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."}}