{"id":"W6976902038","doi":"10.6068/dp14ba7ca3d9812","title":"Trend 2001 - 2006. 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 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; Personal income; Official statistics; Social security; 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":[0.001999701,0.002546927,0.002747892,0.008043351,0.003018797,0.004629914,0.005287144,0.001489865,0.0921626],"category_scores_gemma":[0.0143292,0.00188149,0.002013489,0.03914978,0.0005574448,0.00220337,0.002060134,0.003176206,0.05673357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05167735,"about_ca_system_score_gemma":0.122319,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9948591,"about_ca_topic_score_gemma":0.9928799,"domain_scores_codex":[0.9960013,0.0002397049,0.0004172808,0.0004818108,0.001874727,0.0009852524],"domain_scores_gemma":[0.9695113,0.001039327,0.001028502,0.0008048099,0.02612336,0.001492759],"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":[0.0000259592,0.00000791787,0.001025437,0.0002144501,0.00001749579,0.000006187627,0.00001792693,0.0001121096,0.000007412948,0.0003046585,0.9965054,0.001755175],"study_design_scores_gemma":[0.0001772973,0.00001533453,0.02924656,0.0009145095,0.00006147739,0.00002735303,0.0004492539,0.0005557403,0.0001968284,0.000578255,0.9676911,0.00008645964],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006008421,0.00004910497,0.00001953097,0.0001104081,0.00002433173,0.00001265669,0.9987538,0.00005631136,0.0009137879],"genre_scores_gemma":[0.0007784898,0.0002748524,0.0003106412,0.0001388532,0.00001634778,0.0000971327,0.993194,0.0000966936,0.005092965],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0921626,"threshold_uncertainty_score":0.3749472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01249519637869433,"score_gpt":0.228407870541451,"score_spread":0.2159126741627566,"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."}}