{"id":"W6958023813","doi":"10.6068/dp14ba8aeee3732","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, Public administration, 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; Residence; Official statistics; Economic statistics; Summary statistics; Work (physics); Socioeconomic status; General Social Survey; Social 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":[0.002194201,0.002398602,0.002771746,0.007790684,0.003469017,0.004484715,0.005457714,0.001439624,0.09665062],"category_scores_gemma":[0.01755588,0.00174356,0.002217073,0.03786855,0.0005577777,0.00229786,0.00234355,0.003007632,0.05411051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04880247,"about_ca_system_score_gemma":0.1315721,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9956588,"about_ca_topic_score_gemma":0.9940993,"domain_scores_codex":[0.9959823,0.0002776823,0.0004503413,0.0005202838,0.0018124,0.0009569925],"domain_scores_gemma":[0.9679937,0.001079657,0.0008392219,0.000834714,0.02773642,0.001516332],"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":[0.00002678611,0.000007376893,0.001138348,0.0002742076,0.00002364506,0.000006728945,0.00002836468,0.0000929473,0.000009231729,0.0003310686,0.996048,0.002013325],"study_design_scores_gemma":[0.0002034597,0.00001675954,0.03186643,0.00108821,0.0000993319,0.00003186222,0.0006679035,0.0005001421,0.0001770305,0.0006845899,0.9645657,0.00009856848],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006900475,0.00005809541,0.00003116029,0.0001307087,0.0000322591,0.00002035806,0.9986332,0.00006342505,0.0009617527],"genre_scores_gemma":[0.000915735,0.0003298418,0.0004544012,0.0001984133,0.00002046475,0.0001664111,0.9929865,0.0001169152,0.00481133],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09665062,"threshold_uncertainty_score":0.3540883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03571969761364744,"score_gpt":0.2602320476585365,"score_spread":0.2245123500448891,"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."}}