{"id":"W6939297432","doi":"10.6068/dp14ba88dd18530","title":"Trend 2004 - 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: Rental of cablevision services, Estimated number of households reporting | Units: , 2004-2009. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-120.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Recreation; Census; Consumer Expenditure Survey; Summary statistics; Economic statistics; Household income; Population; Descriptive statistics; Socioeconomic status; Official statistics; 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":[0.002455298,0.00252511,0.002703873,0.008057325,0.003474567,0.004701346,0.005333027,0.001437471,0.08894919],"category_scores_gemma":[0.01725364,0.001864968,0.002301226,0.03707439,0.0005808538,0.002501866,0.002441352,0.003259611,0.04843876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05771104,"about_ca_system_score_gemma":0.1312497,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9952878,"about_ca_topic_score_gemma":0.993466,"domain_scores_codex":[0.9956381,0.0002863511,0.0004552256,0.0004782192,0.002088096,0.001054079],"domain_scores_gemma":[0.9692806,0.0009496382,0.0008489331,0.0008170197,0.02659192,0.001511858],"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":[0.00002814409,0.000007394582,0.001099397,0.0002540109,0.00002154035,0.000006949243,0.00002281931,0.00009660421,0.00000908002,0.0003913006,0.9960417,0.002021124],"study_design_scores_gemma":[0.0001670789,0.00001608413,0.03283323,0.0009940855,0.00008188786,0.00003049145,0.0005290851,0.0004916851,0.000189071,0.0006605038,0.9639075,0.00009945486],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006478884,0.00005785891,0.00002674753,0.0001408517,0.00003175724,0.00001920017,0.9985787,0.00005546515,0.001024614],"genre_scores_gemma":[0.0009876551,0.0003545864,0.0004789211,0.0001857713,0.00001951756,0.0001637972,0.9923349,0.000109574,0.005365194],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08894919,"threshold_uncertainty_score":0.4187248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05499917277357547,"score_gpt":0.2695671972121296,"score_spread":0.2145680244385541,"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."}}