{"id":"W6976612170","doi":"10.6068/dp14ba808d17b88","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: 55 to 64 years, Couple families, $35,000 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":[0.002354693,0.002502794,0.003017046,0.008115952,0.003441298,0.005028681,0.006465777,0.0015191,0.09181334],"category_scores_gemma":[0.01852294,0.002042257,0.002527071,0.04010041,0.0006242147,0.002563535,0.002564376,0.003316403,0.04844169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0566173,"about_ca_system_score_gemma":0.1255441,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9953678,"about_ca_topic_score_gemma":0.9934751,"domain_scores_codex":[0.9958696,0.0003012521,0.0004878355,0.0005330563,0.001766263,0.001042026],"domain_scores_gemma":[0.9659106,0.001323508,0.001120698,0.00102463,0.02877908,0.001841415],"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":[0.00002933638,0.000008481469,0.00166113,0.0003087306,0.00002644,0.000008350326,0.00003507166,0.0001324697,0.000008756851,0.0003851955,0.9954088,0.001987087],"study_design_scores_gemma":[0.0002181198,0.0000166549,0.03995875,0.001271053,0.0000868234,0.00003617995,0.0007706654,0.0005983592,0.0001825092,0.0008448103,0.9559041,0.0001119892],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006833553,0.00004631408,0.00002610046,0.0001054622,0.00002331574,0.00001748186,0.9988839,0.00005704302,0.0007721153],"genre_scores_gemma":[0.001048787,0.0002994877,0.0004454704,0.0001562906,0.00001697488,0.0001831718,0.9937885,0.0001183419,0.003943024],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09181334,"threshold_uncertainty_score":0.4107892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01780613019408671,"score_gpt":0.22755137478513,"score_spread":0.2097452445910433,"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."}}