{"id":"W6938862755","doi":"10.6068/dp14ba80fdb6842","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: 65 years and over, 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":[0.002357466,0.002494419,0.003012458,0.00808368,0.003452247,0.005037726,0.006466391,0.001514751,0.09068746],"category_scores_gemma":[0.01849833,0.002032855,0.002517352,0.04005419,0.000627093,0.002564198,0.00257082,0.003305016,0.04832104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05650267,"about_ca_system_score_gemma":0.1252543,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.995405,"about_ca_topic_score_gemma":0.9935103,"domain_scores_codex":[0.9958678,0.0003028168,0.0004853265,0.0005337956,0.001767552,0.001042636],"domain_scores_gemma":[0.966112,0.001308357,0.001109584,0.001022213,0.02861788,0.001830043],"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":[0.00002916052,0.000008410398,0.00166037,0.0003054434,0.00002634572,0.000008344351,0.00003502341,0.0001327597,0.000008682795,0.000387664,0.9954273,0.001970605],"study_design_scores_gemma":[0.0002158776,0.0000165096,0.03967088,0.00125559,0.00008637414,0.00003613644,0.0007707923,0.0006014383,0.0001816345,0.0008445102,0.9562088,0.000111362],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006828467,0.00004612473,0.0000259645,0.0001049306,0.00002306381,0.00001724713,0.9988908,0.00005643721,0.000767198],"genre_scores_gemma":[0.001043518,0.0002961459,0.0004417115,0.0001551351,0.00001676984,0.0001798257,0.993852,0.0001170511,0.00389788],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09068746,"threshold_uncertainty_score":0.4099575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708733833970362,"score_gpt":0.2255977785484106,"score_spread":0.208510440208707,"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."}}