{"id":"W6957750714","doi":"10.6068/dp14ba84e5ccc91","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 3 or more children, Lone-parent families, $50,000 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; Population; Economic statistics; Demographic statistics; Family income; Fertility; Official statistics; Summary 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":[0.00216793,0.002504734,0.002789324,0.007678719,0.00350619,0.004807868,0.006201368,0.001414399,0.0917743],"category_scores_gemma":[0.01746451,0.001882593,0.002381478,0.03724341,0.0006139313,0.002444677,0.002564792,0.003201305,0.04726631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05170029,"about_ca_system_score_gemma":0.1092072,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.994735,"about_ca_topic_score_gemma":0.9933538,"domain_scores_codex":[0.9962238,0.0002616839,0.0004144125,0.0004973128,0.001616939,0.0009858373],"domain_scores_gemma":[0.9690843,0.00120202,0.001010756,0.0009758538,0.02605716,0.001669858],"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":[0.00003026677,0.000008739212,0.001845777,0.0002791907,0.00002630212,0.000008077749,0.00003624127,0.0001352064,0.000009752587,0.0003704161,0.9953049,0.00194512],"study_design_scores_gemma":[0.0002212694,0.00001666415,0.04417647,0.00115586,0.00008327585,0.00003544567,0.000789697,0.0006242337,0.0002001106,0.0008574897,0.9517272,0.0001123817],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007122945,0.00003760691,0.00002525625,0.00008771906,0.00001924128,0.00001539937,0.998988,0.00005632978,0.0006992079],"genre_scores_gemma":[0.0009179463,0.0002277045,0.0003861545,0.0001201158,0.00001421771,0.0001504558,0.9947211,0.0001058688,0.003356493],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0917743,"threshold_uncertainty_score":0.3751136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01928596035866306,"score_gpt":0.2293572504330868,"score_spread":0.2100712900744237,"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."}}