{"id":"W6907888553","doi":"10.25318/1110021201-fra","title":"Enquête sur les dépenses des ménages (EDM), dépenses des ménages au titre des impôts personnels, selon les provinces et territoires","year":2019,"lang":"fr","type":"dataset","venue":"Statistics Canada Dissemination","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Power (physics); Limiting; Closure (psychology)","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":[0.001187079,0.001297053,0.001271831,0.006762333,0.001056839,0.002044846,0.001627477,0.0009630807,0.03317788],"category_scores_gemma":[0.01153042,0.0006688824,0.001185626,0.01811567,0.0004450455,0.001078534,0.001108443,0.001660789,0.02559512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007204145,"about_ca_system_score_gemma":0.01481423,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8361389,"about_ca_topic_score_gemma":0.8721534,"domain_scores_codex":[0.9984009,0.0001498963,0.0002372598,0.0003600998,0.0005874013,0.0002645838],"domain_scores_gemma":[0.9918975,0.001443321,0.0007317877,0.0006608869,0.004867448,0.0003989695],"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":[0.0000634806,0.00001504428,0.01222065,0.0008341722,0.00006901533,0.00002964861,0.0001015739,0.0002755182,0.00007378331,0.0006528937,0.9801484,0.005515822],"study_design_scores_gemma":[0.00009173888,0.00001371199,0.09756336,0.0008132003,0.0000768561,0.00007198787,0.0005026757,0.000355091,0.0003434254,0.0004622437,0.899646,0.00005974518],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003661606,0.0001344959,0.00004890949,0.00007355332,0.00001912122,0.000008940969,0.9982563,0.00006019115,0.001032361],"genre_scores_gemma":[0.001509273,0.0003018836,0.0002848584,0.00006401485,0.0000114855,0.00006616575,0.9949551,0.00004340443,0.002763743],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1638611,"threshold_uncertainty_score":0.3296522,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02319542633182016,"score_gpt":0.2824034329301704,"score_spread":0.2592080065983502,"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."}}