{"id":"W6958085798","doi":"10.6068/dp14baa35bca351","title":"Trend 2001 - 2006. Statistics Canada. CANSIM: Labor - Wages, Salaries and Other Earnings | Country: Canada | Province: Yukon | Table: Family characteristics, husband-wife families, by wife's contribution to husband-wife employment income | Variable: Husband-wife families with 1 child, Average contribution of the wife to husband-wife family employment income | Units: # $CAD, 2001-2006. 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; Summary statistics; Wages and salaries; Official statistics; Social security; Personal income; Immigration","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":[0.001951592,0.0026586,0.002995013,0.007634305,0.002957467,0.004564194,0.005390394,0.001559423,0.08380827],"category_scores_gemma":[0.014051,0.001944283,0.002128206,0.0391802,0.0005754338,0.002245237,0.002007413,0.003276307,0.05352432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04938377,"about_ca_system_score_gemma":0.1162218,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9941047,"about_ca_topic_score_gemma":0.992085,"domain_scores_codex":[0.9962295,0.0002310249,0.0004327435,0.0004937832,0.001632908,0.0009800105],"domain_scores_gemma":[0.9702472,0.0009790624,0.001018009,0.0008246765,0.02550312,0.001427926],"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":[0.00003221626,0.000008704527,0.001314435,0.0002681312,0.00002265454,0.000007071859,0.00001930035,0.0001264222,0.000009460757,0.0002776862,0.9962965,0.001617384],"study_design_scores_gemma":[0.0002393292,0.00001780861,0.03768102,0.001011231,0.00007757385,0.00003082266,0.0005347595,0.0005789771,0.000221184,0.0005816577,0.9589221,0.0001036083],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005701219,0.00004288499,0.00001599707,0.00009261938,0.00002424892,0.00001189964,0.9990335,0.00004647261,0.0006754404],"genre_scores_gemma":[0.0007384117,0.000222417,0.0002540921,0.0001203926,0.00001445546,0.00009597079,0.9947563,0.00007718967,0.003720761],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08380827,"threshold_uncertainty_score":0.3583061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01172460702845672,"score_gpt":0.2265729744783833,"score_spread":0.2148483674499266,"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."}}