{"id":"W6926066111","doi":"10.25318/1110023901-fra","title":"Revenu des particuliers selon le groupe d'âge, le genre et la source de revenu, Canada, provinces et certaines régions métropolitaines de recensement","year":2019,"lang":"fr","type":"dataset","venue":"Statistics Canada Dissemination","topic":"","field":"","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Research methodology; 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":[0.001321395,0.001668989,0.001681061,0.006322706,0.001463697,0.002636708,0.002871605,0.001649343,0.04734392],"category_scores_gemma":[0.01598142,0.0008184793,0.001434875,0.01711244,0.0005707135,0.001237172,0.001836367,0.001895033,0.03249909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01034794,"about_ca_system_score_gemma":0.02981288,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8957511,"about_ca_topic_score_gemma":0.9335474,"domain_scores_codex":[0.9982172,0.0001696527,0.0002500658,0.0003768831,0.0005830029,0.0004032859],"domain_scores_gemma":[0.9911727,0.001348339,0.0006956722,0.0007455501,0.005209214,0.0008284728],"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":[0.00004218833,0.000005781641,0.001492221,0.0004316264,0.00002709577,0.00001134076,0.00002649158,0.00008722724,0.00002601462,0.0002515682,0.9963621,0.001236352],"study_design_scores_gemma":[0.0002446517,0.000009780116,0.02749628,0.0007733072,0.00007010057,0.00004906464,0.0002339217,0.0002890881,0.0001777142,0.000579297,0.9700294,0.00004735564],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006679876,0.0000640416,0.00001714521,0.0000526605,0.00001113198,0.000005905933,0.9993381,0.00004354532,0.0004006154],"genre_scores_gemma":[0.0006318029,0.000146419,0.0001948804,0.00006921974,0.000009671743,0.00006067491,0.9971563,0.00004051345,0.001690616],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1042489,"threshold_uncertainty_score":0.2097256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009958229507569256,"score_gpt":0.2811758856112951,"score_spread":0.2712176561037259,"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."}}