{"id":"W6957554357","doi":"10.6068/dp14ba816b77292","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: 25 to 34 years, Lone-parent 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":"","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":[0.002139947,0.002530226,0.002868706,0.007400512,0.003470497,0.004846976,0.006634863,0.001492098,0.08716286],"category_scores_gemma":[0.01695216,0.001871069,0.002512633,0.03569657,0.0006028906,0.002373696,0.002548645,0.003250895,0.0456991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04910774,"about_ca_system_score_gemma":0.1002308,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9945023,"about_ca_topic_score_gemma":0.9933701,"domain_scores_codex":[0.9965302,0.000246592,0.0004109461,0.0004872318,0.001400227,0.000924774],"domain_scores_gemma":[0.9712282,0.001106855,0.0009769482,0.000947775,0.02414679,0.001593323],"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":[0.00003276505,0.000009124592,0.001994523,0.0003026579,0.00002900069,0.000008494396,0.00003510402,0.0001298062,0.000009428452,0.0003318671,0.9952494,0.001867867],"study_design_scores_gemma":[0.0002630604,0.00001783683,0.04769269,0.001329469,0.00009623004,0.00003927481,0.0007872245,0.0006508199,0.0001966325,0.0008676705,0.9479419,0.0001172173],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006834756,0.00003863711,0.0000221295,0.00008426655,0.0000188364,0.00001485457,0.999113,0.0000485714,0.0005913629],"genre_scores_gemma":[0.0008477008,0.0002073681,0.0003229193,0.0001140154,0.00001322215,0.0001439839,0.9956274,0.00008203822,0.002641372],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08716286,"threshold_uncertainty_score":0.3563032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02030740676984895,"score_gpt":0.2335813777621278,"score_spread":0.2132739709922789,"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."}}