{"id":"W6976718321","doi":"10.6068/dp14ba85db5fd56","title":"Trend 2010 - 2011. Statistics Canada. CANSIM: Families, Households and Housing - Household Characteristics | Country: Canada | Table: Survey of household spending (SHS), detailed food expenditures | Variable: Average expenditure per household, Ready-to-serve prepared food | Units: $CAD, 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; Summary statistics; Economic statistics; Population; Consumer Expenditure Survey; Descriptive statistics; Socioeconomic status; Household income; Official 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":[0.002286382,0.002669378,0.002821507,0.007534705,0.003549869,0.004537865,0.005919627,0.001450319,0.08622411],"category_scores_gemma":[0.01611665,0.001849486,0.002508672,0.03572879,0.0006036884,0.00249201,0.002569285,0.003206085,0.04431079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05763017,"about_ca_system_score_gemma":0.1263941,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9958454,"about_ca_topic_score_gemma":0.9949965,"domain_scores_codex":[0.9962225,0.0002679554,0.0003934638,0.000464622,0.00170947,0.0009420792],"domain_scores_gemma":[0.9716824,0.0009341449,0.0008541695,0.0008529258,0.02415073,0.001525617],"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":[0.00002875672,0.000008066956,0.001294155,0.0003030369,0.00002578997,0.000008519039,0.00002940309,0.0001068938,0.000009836261,0.0003827726,0.995736,0.002066686],"study_design_scores_gemma":[0.0001845192,0.00001773169,0.03688819,0.001130937,0.0001018664,0.00003776742,0.0006869311,0.0005816364,0.0001920332,0.0007508721,0.9593165,0.0001109264],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007304864,0.0000668241,0.0000304292,0.0001369845,0.00002950216,0.00001749827,0.9987043,0.00005651635,0.0008847771],"genre_scores_gemma":[0.0009920176,0.0003657233,0.0004996778,0.0001758206,0.00001863633,0.0001516169,0.9932616,0.0001072532,0.004427589],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08622411,"threshold_uncertainty_score":0.4181381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05278471671481209,"score_gpt":0.2450425119491339,"score_spread":0.1922577952343218,"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."}}