{"id":"W6977206670","doi":"10.6068/dp14ba8e1d7d530","title":"Trend 2007 - 2012. Statistics Canada. CANSIM: Labor - Employment and Unemployment | 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 all jobs | Units: , 2007-2012. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-136.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Unemployment; Census; Economic statistics; Official statistics; Summary statistics; National accounts; Social statistics; Descriptive statistics; Investment (military); Socioeconomic status","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":[0.001946724,0.002373712,0.002770913,0.009081637,0.003656673,0.005040885,0.005117792,0.001422315,0.07269271],"category_scores_gemma":[0.01740994,0.001698897,0.001944368,0.04151043,0.0006315873,0.002418951,0.002351228,0.002904041,0.04557114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05779961,"about_ca_system_score_gemma":0.1411731,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9957955,"about_ca_topic_score_gemma":0.9947947,"domain_scores_codex":[0.9956545,0.0002803909,0.0004306137,0.0005810542,0.001997311,0.00105615],"domain_scores_gemma":[0.967329,0.001163366,0.001073661,0.0009361912,0.02781288,0.001684946],"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":[0.00002340546,0.000006241102,0.001018452,0.0002020466,0.00002023512,0.000006777366,0.00002381132,0.000104908,0.000008730573,0.0004005434,0.9967821,0.001402737],"study_design_scores_gemma":[0.0001392532,0.00001231428,0.02782817,0.0008226652,0.00007035109,0.0000296598,0.0005785155,0.0005981736,0.000210149,0.0006631605,0.9689444,0.0001031511],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006195867,0.00004923236,0.00002158747,0.0001114999,0.00002383718,0.00001129927,0.9989183,0.00005480217,0.0007474865],"genre_scores_gemma":[0.0009212606,0.0002550788,0.0003489061,0.0001335934,0.00001657329,0.00009556936,0.994485,0.00009368604,0.003650331],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07269271,"threshold_uncertainty_score":0.4193675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01884654062741151,"score_gpt":0.239930400639026,"score_spread":0.2210838600116145,"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."}}