{"id":"W6901742822","doi":"10.6068/dp14baa2b20966","title":"Trend 2000 - 2011. Statistics Canada. CANSIM: Labor - Nonwage Benefits | Country: Canada | Province: Manitoba | Table: Economic dependency profile, by sex, taxfilers and income, and source of income | Variable: Canada Child Tax Benefit, Both sexes, Amount of income | Units: $CAD x 1,000, 2000-2011. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-142.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Payroll; Economic statistics; Census; Social security; Summary statistics; Wages and salaries; Pension; Personal income; Dependency ratio; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002134059,0.002410773,0.002752279,0.007778836,0.003147035,0.004610629,0.005288385,0.001533126,0.1167044],"category_scores_gemma":[0.01844464,0.00197606,0.002026203,0.03863,0.0006002689,0.00261253,0.002242886,0.003011481,0.07503917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04550974,"about_ca_system_score_gemma":0.112716,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9917045,"about_ca_topic_score_gemma":0.9895639,"domain_scores_codex":[0.9963287,0.0002499751,0.0004334673,0.0005223107,0.00163672,0.000828926],"domain_scores_gemma":[0.968478,0.001225631,0.001000543,0.001131026,0.02661166,0.001553166],"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":[0.00002054483,0.000004904581,0.0006805066,0.0001971636,0.00001516724,0.000004664692,0.00001649206,0.00007481886,0.00000802199,0.0002610598,0.9973686,0.001347975],"study_design_scores_gemma":[0.0001626073,0.00001036585,0.01860336,0.0007860833,0.00005983141,0.00002273777,0.0003334273,0.0003671997,0.0001532524,0.0006286505,0.9787955,0.00007692138],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003615789,0.00003563573,0.00002009007,0.00009760015,0.00002186748,0.00001251456,0.9989172,0.0000623236,0.0007966214],"genre_scores_gemma":[0.0005393072,0.0002113159,0.0003505628,0.0001473603,0.00001515949,0.0001258345,0.9946548,0.000135762,0.003819847],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8832957,"threshold_uncertainty_score":0.390415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009996418031676554,"score_gpt":0.2067188280749383,"score_spread":0.1967224100432618,"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."}}