{"id":"W6939309658","doi":"10.6068/dp14ba8d0c5e030","title":"Trend 1997 - 2009. Statistics Canada. CANSIM: Income, Pensions, Spending and Wealth - Household Spending and Savings | Country: Canada | Table: Survey of household spending (SHS), household spending on recreation | Variable: Video game systems, accessories and video game cartridges, Median expenditure per household reporting | Units: , 1997-2009. 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":"Recreation; Consumer Expenditure Survey; Census; Economic statistics; Household income; Summary statistics; Socioeconomic status; Descriptive statistics; Official statistics; Population","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":[0.002316538,0.002419833,0.002649699,0.007675791,0.003345214,0.004376991,0.00516163,0.001350611,0.08185184],"category_scores_gemma":[0.01619113,0.001860126,0.002184029,0.0381969,0.0005671037,0.002398037,0.002398447,0.003268746,0.04313223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05647059,"about_ca_system_score_gemma":0.1340047,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.995376,"about_ca_topic_score_gemma":0.9935837,"domain_scores_codex":[0.9955134,0.0002713052,0.0004690448,0.0004833112,0.00220314,0.001059852],"domain_scores_gemma":[0.9685053,0.0009219845,0.0009014582,0.0007521962,0.0274431,0.001475883],"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":[0.00003021477,0.000008493316,0.001425615,0.0002794281,0.00002481653,0.000007361078,0.00002630827,0.00009852424,0.000009848839,0.0003977715,0.9956915,0.002000052],"study_design_scores_gemma":[0.0001940433,0.00001929344,0.04630816,0.001082748,0.00009401121,0.00003339979,0.0006607031,0.0005200288,0.000218974,0.0006388916,0.9501278,0.000102012],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007668067,0.00005311499,0.00002500559,0.0001338733,0.0000273909,0.00002145823,0.9986093,0.00004841256,0.001004694],"genre_scores_gemma":[0.001065615,0.0003475196,0.000430397,0.0001770628,0.0000186921,0.0001705701,0.9923689,0.000098385,0.005322934],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08185184,"threshold_uncertainty_score":0.4097247,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0713264016509333,"score_gpt":0.2813396307475605,"score_spread":0.2100132290966272,"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."}}