{"id":"W6938801928","doi":"10.6068/dp14ba8f1c71019","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: Financial investment services, funds and other financial vehicles, Annual average number of hours worked for 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; Census; Economic statistics; Wages and salaries; Summary statistics; Official statistics; National accounts; National Income and Product Accounts; Socioeconomic status; Statistics education","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001063054,0.0009357135,0.001370318,0.000112044,0.000302851,0.0002873845,0.0009136935,0.0005240891,0.00008048632],"category_scores_gemma":[0.00009351966,0.0007896425,3.758215e-7,0.0003790719,0.001068726,0.0004083331,0.0003868675,0.0008876635,0.000002357858],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005630212,"about_ca_system_score_gemma":0.01949948,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9964061,"about_ca_topic_score_gemma":0.9960131,"domain_scores_codex":[0.9946986,0.000640567,0.001114003,0.001221673,0.001543984,0.0007811491],"domain_scores_gemma":[0.9945255,0.0008063313,0.002392715,0.001213732,0.0005216797,0.00054003],"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":[0.000542279,0.00009011154,0.009273211,0.00400175,0.0005072873,0.00005797307,0.00003169306,0.00001621341,0.000002255622,0.002495827,0.9829452,0.00003621515],"study_design_scores_gemma":[0.001885963,0.0001689794,0.002447102,0.0002341056,0.0006632676,0.0001867036,0.001415002,0.001233264,3.999137e-8,1.62909e-7,0.9909298,0.000835605],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003701837,0.002093155,0.00001553248,0.000003366158,0.0002377315,0.001585908,0.9954376,0.00006920223,0.0001872755],"genre_scores_gemma":[0.0009048022,0.0001392824,0.0005967994,0.0004212335,0.0002191497,0.00008696203,0.996346,0.0003612211,0.0009245449],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01893646,"threshold_uncertainty_score":0.9994555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01429266122621381,"score_gpt":0.2263772519029729,"score_spread":0.2120845906767591,"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."}}