{"id":"W6976536967","doi":"10.6068/dp14ba81d28fd9","title":"Trend 2000 - 2011. Statistics Canada. CANSIM: Families, Households and Housing - Family Types | Country: Canada | Table: Family characteristics, by family type and sources of income | Variable: Number in family type, Couple families, Investment income | 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; Economic statistics; Socioeconomic status; Population; Demographic statistics; Summary statistics; Official statistics; Family income; 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":[0.002116069,0.002345078,0.002689836,0.008155632,0.003632918,0.00472374,0.005900627,0.001366842,0.08576226],"category_scores_gemma":[0.01598688,0.001783896,0.002252734,0.03782767,0.000586769,0.002328358,0.002568855,0.003074785,0.04067302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05935076,"about_ca_system_score_gemma":0.1249065,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.995882,"about_ca_topic_score_gemma":0.9945998,"domain_scores_codex":[0.9960735,0.0002845516,0.0004335016,0.0004864096,0.001737273,0.0009847424],"domain_scores_gemma":[0.9703971,0.001048135,0.0009844266,0.0008672588,0.02507233,0.001630789],"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":[0.00002608617,0.000008409786,0.001685414,0.0003037645,0.00002726665,0.000009176533,0.00004152149,0.0001341613,0.000009801412,0.0005124173,0.9950159,0.002226098],"study_design_scores_gemma":[0.0001594394,0.00001447396,0.0405998,0.001084229,0.00008358318,0.00003728697,0.0008284309,0.0005950502,0.0001796409,0.0008297194,0.9554837,0.0001046583],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008220156,0.00005673675,0.00003184708,0.0001188626,0.0000228484,0.00001902911,0.9986789,0.00005672852,0.0009328985],"genre_scores_gemma":[0.001228913,0.0003624566,0.0005162104,0.0001590164,0.00001691528,0.000176886,0.9929487,0.0001128296,0.004478161],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08576226,"threshold_uncertainty_score":0.4306219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02281901250240031,"score_gpt":0.2327934488113885,"score_spread":0.2099744363089882,"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."}}