{"id":"W6957973973","doi":"10.6068/dp14ba84809dd91","title":"Trend 2010 - 2011. Statistics Canada. CANSIM: Income, Pensions, Spending and Wealth - Household Spending and Savings | Country: Canada | Table: Survey of household spending (SHS), household spending | Variable: Average expenditure per household, Total expenditure | 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":"X-ray Diffraction in Crystallography","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economic statistics; Consumer Expenditure Survey; Summary statistics; Official statistics; Census; Population; Descriptive statistics; Household income; Socioeconomic status; National accounts","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":[0.002516088,0.00254694,0.002679661,0.008036992,0.003368228,0.004673899,0.005149754,0.001420478,0.08764289],"category_scores_gemma":[0.01793625,0.001801234,0.002467525,0.03681874,0.0005772355,0.002576567,0.002491763,0.003450286,0.04573401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05567465,"about_ca_system_score_gemma":0.1298394,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9945746,"about_ca_topic_score_gemma":0.9932701,"domain_scores_codex":[0.9958776,0.0002869835,0.0004489146,0.0004488714,0.001967473,0.0009701203],"domain_scores_gemma":[0.9692013,0.001002622,0.0008613026,0.0008536717,0.0265551,0.001525967],"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":[0.00002795586,0.000007049963,0.001114676,0.0002911798,0.00002291388,0.000007277298,0.00002397594,0.00009867574,0.000008869949,0.0004431616,0.9958113,0.002142977],"study_design_scores_gemma":[0.0001692154,0.00001575246,0.03176403,0.001102056,0.00008989673,0.00003419646,0.0005118394,0.00051549,0.0001781613,0.0007812558,0.9647347,0.0001033318],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006596968,0.00007738719,0.00003102189,0.0001653178,0.00003523328,0.00002029446,0.9984713,0.00006230969,0.001071136],"genre_scores_gemma":[0.001009171,0.0004236432,0.0005374179,0.0001984055,0.00002240857,0.0001638505,0.992789,0.0001230408,0.004733116],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08764289,"threshold_uncertainty_score":0.4039498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04348049456464276,"score_gpt":0.2533303743558511,"score_spread":0.2098498797912083,"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."}}