{"id":"W6976510170","doi":"10.6068/dp14ba86baa7855","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: 15 years and over, Transportation and warehousing, Males, No union coverage | 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":"Health, Education, and Cultural Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Residence; Official statistics; Economic statistics; Work (physics); Summary statistics; Socioeconomic status; General Social Survey; 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":[0.002075376,0.002494099,0.002701079,0.007605276,0.003339588,0.004422783,0.005309994,0.001425939,0.089725],"category_scores_gemma":[0.01627624,0.001692432,0.002204833,0.03700848,0.0005597723,0.002172833,0.002313414,0.002896829,0.05389016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04598438,"about_ca_system_score_gemma":0.1187122,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.995171,"about_ca_topic_score_gemma":0.9936849,"domain_scores_codex":[0.9962741,0.00025382,0.000404576,0.0004976676,0.001660385,0.0009094118],"domain_scores_gemma":[0.9714615,0.001016665,0.0008034492,0.0007990829,0.0244667,0.001452559],"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":[0.00002633609,0.00000688501,0.001132771,0.0002521923,0.00002263831,0.000006545295,0.00002556655,0.00009497524,0.000009129955,0.0002868151,0.9962884,0.001847767],"study_design_scores_gemma":[0.0002024656,0.00001617654,0.03143806,0.001061719,0.00009509908,0.00003103972,0.0006600939,0.0005419242,0.0001896648,0.0006516835,0.965014,0.00009810007],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006250892,0.00004798598,0.00002713947,0.0001105417,0.00002595606,0.00001631031,0.9988614,0.00005820863,0.0007898923],"genre_scores_gemma":[0.0007939463,0.0002698189,0.0003874432,0.0001604666,0.00001706446,0.0001368924,0.9941686,0.00009872618,0.003967051],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.089725,"threshold_uncertainty_score":0.3336416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02934249307556167,"score_gpt":0.2738465590548827,"score_spread":0.244504065979321,"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."}}