{"id":"W6901595616","doi":"10.6068/dp14ba8ac629b61","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 miscellaneous expenses (legal, financial) | Variable: Legal services not related to dwellings, 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":"Economic statistics; Consumer Expenditure Survey; Census; Summary statistics; Official statistics; Goods and services; Population; Household income; Socioeconomic status; Descriptive 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":[0.002301762,0.002424311,0.002707659,0.007815208,0.003296241,0.004555212,0.00520103,0.001391446,0.08608699],"category_scores_gemma":[0.0170283,0.001804165,0.002227247,0.03775638,0.0005846708,0.002452096,0.002409636,0.003295499,0.04769336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05225511,"about_ca_system_score_gemma":0.1230099,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9948609,"about_ca_topic_score_gemma":0.9933333,"domain_scores_codex":[0.9957908,0.0002764063,0.0004580475,0.0004892832,0.001986072,0.0009993016],"domain_scores_gemma":[0.9702641,0.0009898443,0.0009249652,0.0008344053,0.02554788,0.001438742],"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":[0.00002638616,0.000007073201,0.001166574,0.0002519165,0.00002217906,0.000006562012,0.00002296276,0.00009463197,0.000008286074,0.0003946368,0.9963107,0.001688144],"study_design_scores_gemma":[0.000183416,0.00001559911,0.035128,0.0009761095,0.00008071372,0.00003074678,0.0005507172,0.0004953927,0.0001898071,0.0006729226,0.9615802,0.00009647167],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000597735,0.00004686082,0.00002196544,0.0001215804,0.00002437505,0.00001628521,0.9988028,0.00004624412,0.0008601152],"genre_scores_gemma":[0.0008696344,0.0002816185,0.0003830449,0.0001474925,0.00001656057,0.0001369348,0.993809,0.00009166141,0.004263929],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08608699,"threshold_uncertainty_score":0.3791391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04502711959282317,"score_gpt":0.2605706533553339,"score_spread":0.2155435337625107,"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."}}