{"id":"W7125522575","doi":"10.5683/sp3/uguyc3","title":"Canadian Income Survey, 2022","year":2025,"lang":"","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Government (linguistics); Census; Household income; Survey data collection; Benchmarking; Raw data; Family income; Personal income","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":[0.001793597,0.001558793,0.001516818,0.005458925,0.002285174,0.003313868,0.002918638,0.001048085,0.05821723],"category_scores_gemma":[0.008572572,0.0008575476,0.001225424,0.01752164,0.0003198616,0.00158913,0.001382998,0.002116712,0.03870237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02167727,"about_ca_system_score_gemma":0.04270215,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9521617,"about_ca_topic_score_gemma":0.9594833,"domain_scores_codex":[0.9972386,0.0001706286,0.0003186401,0.0004086564,0.001374442,0.0004889804],"domain_scores_gemma":[0.9912273,0.0002417594,0.0003241658,0.0003111466,0.007342007,0.000553677],"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":[0.00002408641,0.000008166036,0.001467578,0.0002018458,0.00001531612,0.00001055715,0.00001641086,0.00005390905,0.00001030674,0.0007422548,0.9943926,0.003057],"study_design_scores_gemma":[0.00007282284,0.00001067828,0.05313968,0.0004200668,0.00004022894,0.00004258459,0.0001894547,0.0002774082,0.00008873926,0.0005475782,0.9451293,0.00004127546],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000130818,0.0001547257,0.00003959536,0.0001748336,0.00005334183,0.00003733286,0.995737,0.00003689377,0.003635416],"genre_scores_gemma":[0.00143097,0.0004753777,0.0004008078,0.0002247052,0.00002394673,0.0001838899,0.9909973,0.00004316845,0.006219806],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05821723,"threshold_uncertainty_score":0.194756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01545959801572649,"score_gpt":0.2731135015623019,"score_spread":0.2576539035465754,"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."}}