{"id":"W6901633031","doi":"10.6068/dp14ba8337a9f37","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: Universities, Number of self-employed jobs | Units: , 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; Social statistics; National Income and Product Accounts","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":[0.00190554,0.002448125,0.002730386,0.009037024,0.003217328,0.005132064,0.005134723,0.001551149,0.09364359],"category_scores_gemma":[0.01785375,0.001741777,0.001780839,0.04346967,0.0006302008,0.002576993,0.002245713,0.00312638,0.06388438],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05031439,"about_ca_system_score_gemma":0.1235879,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.993423,"about_ca_topic_score_gemma":0.9916584,"domain_scores_codex":[0.9956936,0.0002786112,0.0004027957,0.0005599085,0.002030807,0.001034247],"domain_scores_gemma":[0.9659348,0.001274867,0.001124715,0.0009808161,0.02911935,0.001565372],"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":[0.0000175092,0.000005822031,0.0007118396,0.0001474874,0.00001443894,0.000004964275,0.00001636296,0.0000917783,0.000006562613,0.0003204823,0.9975144,0.001148348],"study_design_scores_gemma":[0.0001382708,0.000009971675,0.01987023,0.0006782874,0.00004985819,0.00002267153,0.0004274962,0.0005183142,0.0001790376,0.0006761809,0.9773443,0.00008552819],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004794048,0.00003601025,0.00002008436,0.0001008132,0.00002151417,0.00001066615,0.9989704,0.0000570564,0.000735404],"genre_scores_gemma":[0.0006591678,0.0001991252,0.0002962179,0.0001173473,0.00001590816,0.00008958822,0.9949746,0.0001024757,0.003545661],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9496856,"threshold_uncertainty_score":0.3650581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0153015133686118,"score_gpt":0.2249064524058034,"score_spread":0.2096049390371916,"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."}}