{"id":"W6901393886","doi":"10.6068/dp14ba8d7d51a75","title":"Trend 1997 - 2013. Statistics Canada. CANSIM: Labor - Commuting to Work | Country: Canada | Table: Labour force survey estimates (LFS), employees by union coverage, North American Industry Classification System (NAICS), sex and age group | Variable: 25 to 44 years, Finance, insurance, real estate and leasing, Females, Total employees, covered and not covered by union | Units: # Persons x 1,000, 1997-2013. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-135.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Economic statistics; Official statistics; Residence; Work (physics); Summary statistics; Socioeconomic status; Social statistics; Descriptive statistics","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":[0.001971633,0.002388631,0.002755532,0.007919406,0.003498797,0.004451521,0.005308618,0.001426393,0.09396387],"category_scores_gemma":[0.01622195,0.001687277,0.002228989,0.03745683,0.0005527041,0.002188851,0.00235248,0.002879668,0.05188012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04748818,"about_ca_system_score_gemma":0.1257173,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9960408,"about_ca_topic_score_gemma":0.9948015,"domain_scores_codex":[0.9962121,0.0002502748,0.0004274143,0.000486883,0.00168437,0.0009389437],"domain_scores_gemma":[0.9716708,0.0009786142,0.0007911859,0.0007459765,0.02437297,0.001440539],"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":[0.00002623607,0.000007297037,0.001205807,0.0002753712,0.00002397405,0.000007073995,0.00002879477,0.00009484146,0.000008616867,0.0003309175,0.9960197,0.001971471],"study_design_scores_gemma":[0.0002005076,0.00001741011,0.03554261,0.001124915,0.0001013208,0.00003331286,0.0007352638,0.0005628578,0.0001779113,0.0006805548,0.9607211,0.0001022726],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000072993,0.00006143692,0.00002940366,0.000125276,0.00003146077,0.00001879918,0.9986693,0.00005975497,0.0009316528],"genre_scores_gemma":[0.0009995551,0.0003462943,0.0004133265,0.0001934758,0.00002030351,0.0001556528,0.9929233,0.0001037133,0.004844456],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09396387,"threshold_uncertainty_score":0.3445525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02676889024746413,"score_gpt":0.2503607271534039,"score_spread":0.2235918369059397,"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."}}