{"id":"W6977025284","doi":"10.6068/dp14ba80a61e727","title":"Trend 2000 - 2011. Statistics Canada. CANSIM: Families, Households and Housing - Family Types | Country: Canada | Table: Family characteristics, by family type, age of older adult, and family income | Variable: 35 to 44 years, Couple families, $80,000 and over | Units: #, 2000-2011. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-098.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Socioeconomic status; Demographic statistics; Population; Economic statistics; Official statistics; Family income; Fertility; Summary statistics; Population statistics","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":[0.002348919,0.002495853,0.003001661,0.008090259,0.003448642,0.005014251,0.006457741,0.001519727,0.09224465],"category_scores_gemma":[0.01849353,0.002034952,0.002518712,0.03984793,0.0006223951,0.002562933,0.002568894,0.003316178,0.04866755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05620822,"about_ca_system_score_gemma":0.1251396,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9953302,"about_ca_topic_score_gemma":0.9934411,"domain_scores_codex":[0.995883,0.0003003138,0.000484599,0.0005310797,0.00175906,0.001041978],"domain_scores_gemma":[0.9660544,0.001315647,0.001109134,0.0010213,0.02866419,0.00183523],"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":[0.00002886575,0.000008414853,0.001646791,0.0003020183,0.00002594398,0.000008268235,0.00003455002,0.00013059,0.000008579063,0.0003809658,0.9954627,0.001962372],"study_design_scores_gemma":[0.0002175088,0.00001660878,0.04015282,0.00126358,0.00008607016,0.00003619674,0.0007734585,0.0005990719,0.0001815194,0.0008448389,0.9557167,0.000111611],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006848098,0.00004587898,0.00002592887,0.0001055257,0.00002336307,0.0000174322,0.9988833,0.00005655257,0.0007735115],"genre_scores_gemma":[0.00104665,0.0002966993,0.0004398903,0.0001558743,0.00001698226,0.0001827523,0.9937822,0.0001173331,0.003961665],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09224465,"threshold_uncertainty_score":0.4078211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01796665216739955,"score_gpt":0.2276541803315816,"score_spread":0.209687528164182,"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."}}