{"id":"W6939312779","doi":"10.6068/dp14ba7c39d5545","title":"Trend 2000 - 2011. Statistics Canada. CANSIM: Labor - Wages, Salaries and Other Earnings | Country: Canada | 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: 075-001-145.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Earnings; Economic statistics; Census; Summary statistics; Wages and salaries; Socioeconomic status; Official statistics; Personal income; Immigration; Dependency ratio","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":[0.001974532,0.00247981,0.002584013,0.008408754,0.003260701,0.004921747,0.005235967,0.001537363,0.09626555],"category_scores_gemma":[0.01697598,0.001777551,0.002042894,0.03901109,0.0006301461,0.002546835,0.00229872,0.003073869,0.06288825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04852799,"about_ca_system_score_gemma":0.1127356,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9937977,"about_ca_topic_score_gemma":0.9921158,"domain_scores_codex":[0.9962153,0.0002395295,0.0003841277,0.000508129,0.001714273,0.0009386305],"domain_scores_gemma":[0.970714,0.001073147,0.0009406104,0.0009699527,0.0249094,0.001392876],"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":[0.0000215675,0.000005692007,0.0008077649,0.0001853653,0.00001652649,0.000005531243,0.00001721784,0.00009327638,0.000007567764,0.0003187535,0.9970992,0.001421621],"study_design_scores_gemma":[0.0001448463,0.0000100481,0.01977053,0.0007624746,0.00005769762,0.00002339295,0.0003727622,0.0004521458,0.000175878,0.0006534291,0.9774915,0.00008529653],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004412645,0.00004165988,0.00002028935,0.0001008667,0.00002105769,0.00001095956,0.9989123,0.00006091076,0.0007878707],"genre_scores_gemma":[0.0006173375,0.0002159782,0.0003094138,0.0001196892,0.0000134381,0.00009055315,0.9951126,0.000101999,0.003419011],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09626555,"threshold_uncertainty_score":0.3520969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008737387440863824,"score_gpt":0.1947651280350755,"score_spread":0.1860277405942117,"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."}}