{"id":"W6920136624","doi":"10.6068/dp14ba895fb3f8","title":"Trend 2001 - 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: 15 to 24 years, Professional, scientific and technical services, Females, Union coverage | Units: # Persons x 1,000, 2001-2013. 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; Economic statistics; Official statistics; Work (physics); Summary statistics; 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":[0.002145838,0.002478529,0.002741985,0.007654588,0.003463947,0.004419037,0.005493267,0.001488878,0.1005926],"category_scores_gemma":[0.01728816,0.001728953,0.002234153,0.03611789,0.0005409727,0.002207538,0.002282023,0.002993007,0.05543447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04634342,"about_ca_system_score_gemma":0.1218549,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9952814,"about_ca_topic_score_gemma":0.9939615,"domain_scores_codex":[0.9962889,0.0002620771,0.0004027503,0.0004984704,0.001648939,0.0008988996],"domain_scores_gemma":[0.9700383,0.001105959,0.0008337403,0.0008325302,0.02563396,0.001555548],"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":[0.00002637144,0.000007079558,0.001117478,0.0002545806,0.00002164606,0.00000630206,0.00002664139,0.00009258885,0.000009183849,0.0002883129,0.996246,0.001903844],"study_design_scores_gemma":[0.0002191558,0.00001738962,0.03394683,0.001108347,0.0000984781,0.00003233439,0.0006643615,0.0005483942,0.0001840199,0.0006734178,0.9624019,0.0001052601],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006611227,0.00005154139,0.00003041853,0.0001183334,0.00002925048,0.00001927311,0.9987541,0.00006297333,0.0008679357],"genre_scores_gemma":[0.0008576472,0.0002967264,0.0004527071,0.0001836084,0.00001960929,0.0001647729,0.993279,0.0001119052,0.004634019],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1005926,"threshold_uncertainty_score":0.3365159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03532997846072452,"score_gpt":0.2723185724190729,"score_spread":0.2369885939583484,"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."}}