{"id":"W6920418883","doi":"10.6068/dp14ba8a180a752","title":"Trend 2007 - 2012. Statistics Canada. CANSIM: Labor - Wages, Salaries and Other Earnings | Country: Canada | Table: Labour statistics consistent with the System of National Accounts (SNA), by province and territory, job category and North American Industry Classification System (NAICS) | Variable: Motor vehicle seating and interior trim manufacturing, Self-employed income | Units: $CAD x 1,000, 2007-2012. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-145.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Earnings; Economic statistics; Census; Official statistics; Summary statistics; Wages and salaries; National accounts; Socioeconomic status; Personal income; International comparisons","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":[0.001895861,0.00256077,0.002849555,0.008423398,0.002947008,0.00482463,0.005223289,0.00149511,0.08442754],"category_scores_gemma":[0.01628391,0.001849619,0.001917126,0.04230247,0.0005944536,0.002492446,0.002038791,0.003246956,0.05830639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04951345,"about_ca_system_score_gemma":0.1203544,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9936916,"about_ca_topic_score_gemma":0.9913446,"domain_scores_codex":[0.9957011,0.0002597096,0.000416228,0.0005563051,0.002038354,0.001028133],"domain_scores_gemma":[0.9660097,0.001079659,0.001054238,0.0008601877,0.02961231,0.001383863],"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":[0.00002291445,0.000007026853,0.0008953332,0.000174904,0.00001753533,0.00000552557,0.00001522888,0.0001007799,0.000007649256,0.0002896057,0.99718,0.001283456],"study_design_scores_gemma":[0.0001845819,0.00001399073,0.02892343,0.0007560977,0.00006343776,0.0000259484,0.0004267744,0.0005860067,0.000215855,0.0006317837,0.9680803,0.00009168816],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005848057,0.00004173758,0.00001881314,0.0000977088,0.00002490704,0.00001154401,0.9989427,0.00005511473,0.0007490361],"genre_scores_gemma":[0.000734158,0.0002066119,0.0002685624,0.0001228033,0.00001741904,0.00008862205,0.9946246,0.00009282021,0.003844402],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08442754,"threshold_uncertainty_score":0.3592469,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0155710944302367,"score_gpt":0.2267176385867352,"score_spread":0.2111465441564985,"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."}}