{"id":"W6888898302","doi":"10.25318/1110022301-fra","title":"Dépenses des ménages selon le quintile de revenu du ménage, Canada, régions et provinces","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":"Consumption (sociology); Context (archaeology); Revenue; Government (linguistics); Welfare","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":[0.001114171,0.001390016,0.001297585,0.005377103,0.001939735,0.001998879,0.002630002,0.001031223,0.02501904],"category_scores_gemma":[0.008567738,0.0008172889,0.001439966,0.01310689,0.0004460517,0.0008305407,0.001254786,0.002154767,0.009433968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01742519,"about_ca_system_score_gemma":0.04191569,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9885437,"about_ca_topic_score_gemma":0.9920849,"domain_scores_codex":[0.9986255,0.00007786787,0.0001663757,0.0001973414,0.0005276711,0.0004051567],"domain_scores_gemma":[0.9928404,0.0004829992,0.0007037207,0.0002705832,0.00495242,0.0007498824],"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":[0.0001003612,0.0000233784,0.01782404,0.0004278558,0.00007955128,0.00002378472,0.000082723,0.0002294577,0.00003015616,0.0004206369,0.9780508,0.002707203],"study_design_scores_gemma":[0.0004079339,0.00003470551,0.4410269,0.001122148,0.0001886144,0.0001360757,0.0008962535,0.001020947,0.0003448077,0.0004675677,0.5542569,0.00009714271],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007804649,0.00011509,0.00002081504,0.00009272732,0.00001722911,0.0000155513,0.9981776,0.00003953194,0.0007410143],"genre_scores_gemma":[0.004589337,0.000316644,0.0001964168,0.0001273179,0.00001707254,0.0001011412,0.9903398,0.00003204558,0.004280153],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02501904,"threshold_uncertainty_score":0.1264292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009580617245294746,"score_gpt":0.2677096727141559,"score_spread":0.2581290554688611,"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."}}