{"id":"W6957814661","doi":"10.6068/dp14ba83383a341","title":"Trend 2010 - 2011. Statistics Canada. CANSIM: Income, Pensions, Spending and Wealth - Household Spending and Savings | Country: Canada | Table: Survey of household spending (SHS), detailed food expenditures | Variable: Average expenditure per household, Infant food | Units: $CAD, 2010-2011. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-120.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economic statistics; Summary statistics; Consumer Expenditure Survey; Official statistics; Census; Population; National accounts; Socioeconomic status; Descriptive statistics; Household income","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":[0.002382339,0.00256484,0.002717415,0.007808024,0.00331891,0.004631412,0.005232119,0.001464503,0.08995596],"category_scores_gemma":[0.01748608,0.001808058,0.002470587,0.03569137,0.0005611433,0.002532325,0.002465191,0.00343576,0.04978148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05229747,"about_ca_system_score_gemma":0.1189947,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9940467,"about_ca_topic_score_gemma":0.9925829,"domain_scores_codex":[0.9961557,0.0002670873,0.0004103281,0.0004383933,0.001804258,0.0009242594],"domain_scores_gemma":[0.9718465,0.0009637882,0.0008217,0.0008304053,0.02411638,0.00142114],"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":[0.00002554325,0.000006493834,0.0009973467,0.0002660975,0.00002098211,0.000006655061,0.00002096069,0.00009362555,0.000008028892,0.0003847553,0.9962618,0.001907796],"study_design_scores_gemma":[0.0001822348,0.00001500953,0.02919417,0.00109188,0.0000868881,0.00003284661,0.0004749235,0.0005228671,0.0001736822,0.0007715031,0.967352,0.0001020036],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005678,0.00006429428,0.00002660002,0.0001367667,0.00003074254,0.00001729546,0.998697,0.00005678731,0.0009138378],"genre_scores_gemma":[0.0008334601,0.000345015,0.0004512928,0.0001676988,0.00001958866,0.0001431869,0.9939466,0.0001100493,0.003983148],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08995596,"threshold_uncertainty_score":0.3794464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04884587108137337,"score_gpt":0.2512859226793895,"score_spread":0.2024400515980162,"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."}}