{"id":"W6945022737","doi":"10.25318/9810052201-fra","title":"Langues utilisées au travail selon la langue maternelle : Canada, provinces et territoires, divisions de recensement et subdivisions de recensement","year":2022,"lang":"fr","type":"dataset","venue":"Statistics Canada Dissemination","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Context (archaeology); Census; Metropolitan area","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":[0.00107961,0.001524739,0.001246409,0.006998813,0.001591165,0.003037418,0.002039807,0.001155794,0.02867674],"category_scores_gemma":[0.00955351,0.0007680704,0.001142063,0.02333008,0.0005550544,0.00116889,0.001676662,0.001905228,0.01502011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.014954,"about_ca_system_score_gemma":0.04174259,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.972693,"about_ca_topic_score_gemma":0.9812353,"domain_scores_codex":[0.9983979,0.0001234165,0.0001927684,0.0002860494,0.0005884892,0.0004112715],"domain_scores_gemma":[0.9927021,0.000889378,0.0004940897,0.000480298,0.004803594,0.0006304749],"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":[0.00004614978,0.00001079005,0.005067443,0.0005849071,0.00004280962,0.0000226169,0.0001385197,0.0002951051,0.00004985448,0.000842582,0.9896857,0.003213406],"study_design_scores_gemma":[0.0001071842,0.000006920741,0.06278749,0.0008373315,0.00004669752,0.0000392751,0.0005017489,0.0004348887,0.0001943677,0.0005744214,0.9344126,0.00005718331],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002106783,0.00009809559,0.00002812727,0.00006746248,0.000009974528,0.000007089531,0.9986994,0.00005218992,0.000826865],"genre_scores_gemma":[0.001204732,0.0002208732,0.0002324004,0.00004856468,0.000005558945,0.00006330537,0.9960266,0.00003889378,0.002159089],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02867674,"threshold_uncertainty_score":0.1084993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008837370624155539,"score_gpt":0.276148291779679,"score_spread":0.2673109211555235,"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."}}