{"id":"W6963797992","doi":"10.25318/1410014701-fra","title":"Enquête sur la population active (EPA), estimations de l'emploi selon la région métropolitaine de recensement basées sur les limites du recensement de 2001 et le Système de classification des industries de l'Amérique du Nord (SCIAN), moyennes mobiles de 3 mois, non désaisonnalisées","year":2020,"lang":"fr","type":"dataset","venue":"Statistics Canada Dissemination","topic":"Advanced Neural Network Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Census; Context (archaeology); Research methodology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.001493763,0.0008050616,0.0006215222,0.0003272011,0.001301904,0.00058645,0.0008909114,0.0005916705,0.00002267217],"category_scores_gemma":[0.005752285,0.00099423,0.00008976196,0.001124484,0.0003811614,0.0008128143,0.0002460083,0.0009185384,0.000004298694],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009514159,"about_ca_system_score_gemma":0.005250935,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2528358,"about_ca_topic_score_gemma":0.7142075,"domain_scores_codex":[0.994105,0.001699538,0.001100415,0.001009043,0.0007747806,0.001311207],"domain_scores_gemma":[0.991428,0.004874063,0.001237127,0.0006643224,0.001122704,0.0006737564],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000132773,0.0006301353,0.02166464,0.0008399825,0.0001969607,0.0001601548,0.003782857,0.04608231,0.004280532,0.03634531,0.8323617,0.05352265],"study_design_scores_gemma":[0.0007439244,0.0002908758,0.3897849,0.001651431,0.0004720399,0.0003091249,0.0021918,0.4864888,0.005388019,0.01378515,0.09732991,0.001564027],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.044994,0.0002695775,0.7640754,0.009158356,0.0001453558,0.001255722,0.1799402,0.0001347285,0.00002670011],"genre_scores_gemma":[0.446562,0.005921234,0.1767243,0.0003998608,0.0003492868,0.001371227,0.3683592,0.0001410788,0.0001718762],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7350318,"threshold_uncertainty_score":0.9999983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02689234525004165,"score_gpt":0.2836823689768269,"score_spread":0.2567900237267852,"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."}}