{"id":"W6976568026","doi":"10.6068/dp14ba868d99194","title":"Trend 2010 - 2011. Statistics Canada. CANSIM: Families, Households and Housing - Household Characteristics | Country: Canada | Table: Survey of household spending (SHS), dwelling characteristics and household equipment at time of interview | Variable: Estimated number of households reporting, Single attached dwelling | Units: % of households responding x 1,000, 2010-2011. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-099.","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; Official statistics; Summary statistics; Socioeconomic status; Household income; Population; Population statistics; Social security","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":[0.002610012,0.002432934,0.002695279,0.00781725,0.003717291,0.004272336,0.005740092,0.001333205,0.09080756],"category_scores_gemma":[0.01851004,0.001813706,0.00238625,0.03635209,0.0005668665,0.002348575,0.002634729,0.003012849,0.04056475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.060716,"about_ca_system_score_gemma":0.1409132,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9963272,"about_ca_topic_score_gemma":0.9954639,"domain_scores_codex":[0.9957187,0.0003234205,0.0004573214,0.0004916988,0.001955987,0.001052822],"domain_scores_gemma":[0.9673492,0.001180827,0.0009637243,0.0009185719,0.02790709,0.001680595],"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":[0.00003073956,0.000008277914,0.001547506,0.0003466873,0.00002627704,0.000009048365,0.00003901935,0.0001115936,0.000009911155,0.0004447055,0.9947477,0.00267855],"study_design_scores_gemma":[0.0001773538,0.00002106401,0.04653265,0.001372626,0.0001078887,0.00003938229,0.0009222347,0.0006453169,0.0002032328,0.000817057,0.9490451,0.0001159922],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009443083,0.00007395975,0.00003995872,0.0001640697,0.00003322867,0.00002478057,0.9983382,0.00006385514,0.001167402],"genre_scores_gemma":[0.001486387,0.000507102,0.0007672526,0.0002420356,0.00002373788,0.0002428532,0.989386,0.0001373566,0.007207325],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09080756,"threshold_uncertainty_score":0.4405275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0944954458116392,"score_gpt":0.2825827860080075,"score_spread":0.1880873401963682,"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."}}