{"id":"W6901689427","doi":"10.6068/dp14baa36f19768","title":"Trend 1999 - 2009. Statistics Canada. CANSIM: Income, Pensions, Spending and Wealth - Household Assets, Debts and Wealth | Country: Canada | Province: Nunavut | Table: Consumer bankruptcies | Variable: Total assets | Units: $CAD x 1,000, 1999-2009. 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":"Official statistics; Economic statistics; Descriptive statistics; Debt; Census; National accounts; Pension; 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":[0.001951152,0.002435963,0.002576505,0.007213629,0.003009186,0.004552188,0.005267544,0.001415894,0.07769789],"category_scores_gemma":[0.01499333,0.001625373,0.002032975,0.03349297,0.0005597317,0.002528872,0.002270817,0.003031946,0.05166523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04546701,"about_ca_system_score_gemma":0.09710265,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9929884,"about_ca_topic_score_gemma":0.9912881,"domain_scores_codex":[0.9966364,0.0002065391,0.0003608878,0.0004510875,0.001521095,0.0008239644],"domain_scores_gemma":[0.9746644,0.0008121539,0.0007843535,0.0008116452,0.02171275,0.001214692],"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":[0.00002572688,0.000006178888,0.001096997,0.0002330282,0.00001960938,0.000007580205,0.00002014835,0.0001006814,0.000009656814,0.0003605736,0.9964417,0.001678138],"study_design_scores_gemma":[0.0001516594,0.00001173495,0.02585283,0.0008698595,0.00006410126,0.00002936371,0.0004263875,0.0004667261,0.0001863542,0.0006769648,0.9711781,0.00008602074],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004637639,0.00004354823,0.00001816552,0.00008749077,0.00002044692,0.00001087172,0.9990733,0.00004275312,0.0006568855],"genre_scores_gemma":[0.0006727227,0.0002236021,0.000292762,0.0001043238,0.00001309768,0.00009244747,0.9955173,0.0000740736,0.00300976],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07769789,"threshold_uncertainty_score":0.3298877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.027790145077113,"score_gpt":0.2578602145110465,"score_spread":0.2300700694339335,"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."}}