{"id":"W6901722499","doi":"10.6068/dp14ba8fb13f458","title":"Trend 2000 - 2011. Statistics Canada. CANSIM: Labor - Wages, Salaries and Other Earnings | Country: Canada | Table: Family characteristics, husband-wife families, by wife's contribution to husband-wife employment income | Variable: Husband-wife families with employment income of $1 to $19,999, Husband-wife families where the wife contributes 51% to 75% of employment income | Units: #, 2000-2011. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-145.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Earnings; Census; Economic statistics; Socioeconomic status; Wages and salaries; Summary statistics; Personal income; Official statistics; Immigration; Total 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":[0.002036721,0.002563524,0.002988879,0.00769655,0.002998125,0.004519382,0.005687862,0.001598,0.08087629],"category_scores_gemma":[0.01509276,0.001979065,0.002214484,0.03844486,0.0006149746,0.00232515,0.002162612,0.003468254,0.04946976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05339227,"about_ca_system_score_gemma":0.1218125,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9952033,"about_ca_topic_score_gemma":0.9937773,"domain_scores_codex":[0.9961181,0.0002383597,0.0004258982,0.0004795458,0.001768025,0.0009700506],"domain_scores_gemma":[0.9690154,0.001055649,0.001124032,0.0008493307,0.02643359,0.001522003],"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":[0.00003159265,0.00000936281,0.001285554,0.0002571078,0.00002308396,0.000006488188,0.00001895383,0.0001269234,0.000008186186,0.0002809326,0.996298,0.001653835],"study_design_scores_gemma":[0.0002773575,0.00002085598,0.04210987,0.001123296,0.00008867253,0.0000333435,0.0005692306,0.0007393223,0.0002341798,0.0007048227,0.9539832,0.0001159319],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006516505,0.00004687078,0.00001739939,0.0001123677,0.00002439221,0.00001328788,0.9989647,0.0000507279,0.000705136],"genre_scores_gemma":[0.0008656647,0.0002538128,0.0002804211,0.0001516417,0.00001688838,0.0001062737,0.994193,0.00008307774,0.004049168],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08087629,"threshold_uncertainty_score":0.3873898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01349302335686289,"score_gpt":0.2343149278346769,"score_spread":0.220821904477814,"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."}}