{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.001418472,0.002211774,0.00357262,0.0004530489,0.0002969389,0.0004412449,0.003079097,0.001284405,0.001293646],"category_scores_gemma":[0.0002055899,0.002274046,7.833048e-7,0.001145582,0.001254464,0.0006790613,0.001941046,0.001809477,0.0002857233],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001304072,"about_ca_system_score_gemma":0.03734013,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9997922,"about_ca_topic_score_gemma":0.996105,"domain_scores_codex":[0.9891036,0.0009303183,0.00260021,0.002741588,0.002591294,0.00203303],"domain_scores_gemma":[0.9905466,0.001201582,0.001972045,0.004513348,0.0004109583,0.001355481],"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":[0.0004785682,0.0002197611,0.001068407,0.001236702,0.001471892,0.0006543674,0.00001879781,0.00002932411,0.00009722079,0.0001570613,0.9944642,0.0001036614],"study_design_scores_gemma":[0.002095802,0.0002331564,0.0005310699,0.0001637601,0.001878845,0.0001141356,0.0009391062,0.001817552,7.716807e-8,6.95818e-7,0.9898691,0.002356742],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002584805,0.02851011,0.00000164164,0.000001499091,0.001460595,0.001375846,0.9635339,0.0002151419,0.004642751],"genre_scores_gemma":[0.0001544553,0.01456374,0.0003444356,0.001013593,0.000236185,0.00003050842,0.9790007,0.001164684,0.003491641],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03603606,"threshold_uncertainty_score":0.9996193,"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."}}