{"id":"W6976215125","doi":"10.6068/dp14ba85a2ec622","title":"Trend 2000 - 2011. Statistics Canada. CANSIM: Income, Pensions, Spending and Wealth - Household, Family and Personal Income | Country: Canada | Table: Economic dependency profile, by sex, taxfilers and income, and source of income | Variable: Employment Insurance, Both sexes, Amount of income | Units: $CAD x 1,000, 2000-2011. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-119.","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; Personal income; Total personal income; Socioeconomic status; Official statistics; Census; Demographic statistics; Household income; Population; Summary 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":[0.002231678,0.002392638,0.002708796,0.007768156,0.003340225,0.004812086,0.00567,0.001500746,0.08745656],"category_scores_gemma":[0.01948948,0.001824172,0.002209374,0.03741332,0.0006364363,0.002590432,0.002539025,0.003340553,0.05481514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05003981,"about_ca_system_score_gemma":0.1095849,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9930466,"about_ca_topic_score_gemma":0.9918545,"domain_scores_codex":[0.9962452,0.0002590822,0.000447691,0.0005225554,0.001672514,0.0008529023],"domain_scores_gemma":[0.967468,0.001242528,0.001002589,0.001107414,0.0277208,0.001458708],"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":[0.00002303079,0.000005311113,0.0009555555,0.0002343336,0.00001972475,0.000005895192,0.00002104961,0.00009036924,0.000007600921,0.0003318248,0.9968359,0.001469409],"study_design_scores_gemma":[0.0001673083,0.00001106862,0.02426964,0.0009942135,0.00007334674,0.00002860619,0.000432829,0.0004744832,0.0001714694,0.0007795693,0.9725016,0.00009593325],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004424163,0.00004022905,0.000019739,0.00009616209,0.00001912717,0.00001202699,0.999087,0.00005180313,0.0006296557],"genre_scores_gemma":[0.0005911681,0.0002006242,0.0003121169,0.0001140294,0.0000124633,0.0001115197,0.9959033,0.00008723646,0.002667479],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08745656,"threshold_uncertainty_score":0.363066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02099778090844959,"score_gpt":0.2355276910937334,"score_spread":0.2145299101852839,"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."}}