{"id":"W6957789309","doi":"10.6068/dp14ba80e517294","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 to 24 years, Trade, Females, 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":"","field":"","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":[0.002186504,0.002399407,0.00260747,0.007693951,0.003534524,0.004633462,0.005315572,0.001428863,0.110092],"category_scores_gemma":[0.01747348,0.001725507,0.002113265,0.03622215,0.0005469316,0.002311261,0.002349988,0.002909354,0.06313797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04550964,"about_ca_system_score_gemma":0.1220154,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9949126,"about_ca_topic_score_gemma":0.9931875,"domain_scores_codex":[0.9960543,0.0002754254,0.0004294633,0.0005132861,0.001785694,0.0009417545],"domain_scores_gemma":[0.9709391,0.001071089,0.0007803871,0.0008418959,0.0249135,0.00145398],"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":[0.00002307265,0.000006127063,0.0009126333,0.0002310318,0.00001907786,0.000006129471,0.00002337764,0.00007838431,0.000008151133,0.0003058474,0.9964218,0.001964399],"study_design_scores_gemma":[0.0001748838,0.00001408893,0.0251697,0.000990591,0.00008244036,0.00002925,0.0005597429,0.0004424944,0.0001615123,0.0006759384,0.9716111,0.00008814903],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005869781,0.00005406351,0.00003189057,0.0001254774,0.00003233215,0.00001877364,0.9985807,0.00006583724,0.001032188],"genre_scores_gemma":[0.0007933624,0.0003135323,0.0004360564,0.0001857922,0.00001984954,0.0001516703,0.9929637,0.0001249812,0.005011042],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.110092,"threshold_uncertainty_score":0.3682944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03423221266387511,"score_gpt":0.2565827366305307,"score_spread":0.2223505239666556,"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."}}