{"id":"W6976592213","doi":"10.6068/dp14ba822488c91","title":"Trend 2000 - 2011. Statistics Canada. CANSIM: Families, Households and Housing - Family Types | Country: Canada | Table: Family characteristics, by family type, family composition and family income | Variable: Families with 2 children, Couple families, $60,000 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":"Eurasian Exchange Networks","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Socioeconomic status; Population; Economic statistics; Family income; Official statistics; Demographic statistics; Fertility; Summary statistics; Descriptive 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.001055604,0.001709301,0.002293416,0.0002839124,0.0009535562,0.000887841,0.002076988,0.001222508,0.000479102],"category_scores_gemma":[0.00005765872,0.001701121,9.891521e-7,0.0006342097,0.001817114,0.0008411733,0.0009881573,0.001560281,0.00003062293],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007288434,"about_ca_system_score_gemma":0.01612707,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9995023,"about_ca_topic_score_gemma":0.9945933,"domain_scores_codex":[0.9910943,0.0008650853,0.001369782,0.002463557,0.002311111,0.001896149],"domain_scores_gemma":[0.9937506,0.0009950532,0.001147432,0.002530974,0.0002518608,0.00132406],"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":[0.0002628353,0.00009936198,0.0005949697,0.0003485341,0.0009817799,0.0003305705,0.00005679669,0.00001192756,0.00002806196,0.0001827205,0.9964437,0.0006587492],"study_design_scores_gemma":[0.001493235,0.0002237756,0.001370219,0.0001284687,0.001675954,0.00006423648,0.00264164,0.0008743892,1.74005e-8,5.517607e-7,0.9894997,0.002027747],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002718231,0.03653423,0.00001255059,0.000006276185,0.001175681,0.001433559,0.9526296,0.0002650894,0.007671201],"genre_scores_gemma":[0.0003579009,0.04858685,0.0002712738,0.00159956,0.0005790298,0.00002903954,0.9452534,0.0005443312,0.002778565],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01539823,"threshold_uncertainty_score":0.9995654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01781329651582802,"score_gpt":0.2319873856126788,"score_spread":0.2141740890968508,"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."}}