{"id":"W6939263235","doi":"10.6068/dp14baa3bd4d453","title":"Trend 1976 - 2009. Statistics Canada. CANSIM: Income, Pensions, Spending and Wealth - Household Assets, Debts and Wealth | Country: Canada | Province: British Columbia | Table: Consumer bankruptcies | Variable: Total assets | Units: $CAD x 1,000, 1976-2009. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-118.","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; Official statistics; Census; Debt; Descriptive statistics; Pension; National accounts; Social security; Population; Personal 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":[0.001729784,0.002373383,0.002551511,0.007289761,0.002986912,0.004485975,0.00500605,0.001435765,0.08439095],"category_scores_gemma":[0.01414376,0.001555322,0.001824283,0.03270205,0.000565924,0.002398309,0.002149731,0.003002699,0.05935995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04311182,"about_ca_system_score_gemma":0.09113823,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9922571,"about_ca_topic_score_gemma":0.9909648,"domain_scores_codex":[0.9969878,0.0001814224,0.0003004401,0.0004416796,0.00134445,0.0007443288],"domain_scores_gemma":[0.975293,0.0008515888,0.0007612281,0.0008496767,0.02097052,0.001274061],"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":[0.0000216566,0.000005518282,0.0009607989,0.0001933736,0.00001622117,0.000006067888,0.00001832459,0.0000906363,0.000009192451,0.0003212184,0.9968797,0.001477291],"study_design_scores_gemma":[0.0001376416,0.00001022509,0.02260314,0.0007292146,0.00005288278,0.00002426078,0.0003583429,0.0004065801,0.000174468,0.0005998719,0.9748233,0.00008003076],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004521293,0.0000383388,0.00001669677,0.00007097421,0.00001723093,0.000009572348,0.9991089,0.00004637742,0.0006466795],"genre_scores_gemma":[0.0006364122,0.000188504,0.000261646,0.00008590515,0.0000119372,0.00008626745,0.9956806,0.00007500581,0.002973711],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08439095,"threshold_uncertainty_score":0.3127996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02452994962883783,"score_gpt":0.2468833712850426,"score_spread":0.2223534216562047,"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."}}