{"id":"W6957732624","doi":"10.6068/dp14baa2ef2c284","title":"Trend 2000 - 2011. Statistics Canada. CANSIM: Labor - Nonwage Benefits | Country: Canada | Province: New Brunswick | 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; Wages and salaries; Summary statistics; Social security; Descriptive statistics; Personal income; Dependency ratio; Pension","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":[0.002095546,0.002381097,0.002712813,0.007818456,0.003197742,0.004832195,0.005122358,0.001553263,0.1152016],"category_scores_gemma":[0.01805465,0.001961038,0.002079464,0.03782342,0.0006034718,0.00267591,0.002217203,0.003064337,0.07700722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04617219,"about_ca_system_score_gemma":0.1132521,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9917964,"about_ca_topic_score_gemma":0.9898167,"domain_scores_codex":[0.9963612,0.0002411342,0.000432698,0.000527604,0.001607699,0.000829596],"domain_scores_gemma":[0.9700505,0.001181145,0.0009434047,0.001082373,0.02532579,0.00141679],"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":[0.00002053973,0.000004688419,0.0006711286,0.0002078602,0.00001544772,0.000005222982,0.00001730362,0.00007928778,0.000008274002,0.0002965995,0.997268,0.00140576],"study_design_scores_gemma":[0.0001435287,0.000008672131,0.01543194,0.000729268,0.00005345698,0.00002201323,0.0003112804,0.0003411489,0.0001450954,0.0005995657,0.9821413,0.00007274137],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000353621,0.0000384547,0.00001976274,0.00009948285,0.00002188587,0.00001187014,0.9988862,0.00005836299,0.0008286479],"genre_scores_gemma":[0.0005140153,0.0002119619,0.0003304951,0.0001369051,0.00001378704,0.0001129619,0.9949531,0.0001267929,0.003599926],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1152016,"threshold_uncertainty_score":0.3853878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00984996918682868,"score_gpt":0.2097502992495066,"score_spread":0.1999003300626779,"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."}}