{"id":"W6957765189","doi":"10.6068/dp14ba815c3f01","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, 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":"","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":[0.002269555,0.002448732,0.002590246,0.00784425,0.00355554,0.004570843,0.005403711,0.00145001,0.108063],"category_scores_gemma":[0.01867004,0.001771718,0.002140406,0.0367698,0.0005624429,0.002319723,0.002359274,0.003011033,0.06021421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04771265,"about_ca_system_score_gemma":0.128445,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9951805,"about_ca_topic_score_gemma":0.9933488,"domain_scores_codex":[0.9958593,0.0002927797,0.0004608268,0.0005282231,0.001893311,0.0009655098],"domain_scores_gemma":[0.9684625,0.001177603,0.0008500925,0.0008799925,0.02708976,0.001540074],"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":[0.00002320236,0.000006211661,0.0009247551,0.0002418232,0.00001953575,0.000006312473,0.00002399678,0.00008335186,0.000008307716,0.0003170795,0.9963972,0.001948269],"study_design_scores_gemma":[0.0001836557,0.00001472412,0.02647563,0.001076162,0.00008514046,0.00003032507,0.0005903504,0.00045975,0.0001666251,0.0006970119,0.9701267,0.00009385274],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005799776,0.00005532628,0.00003209652,0.000130296,0.00003303485,0.0000191969,0.9985952,0.00006530024,0.001011544],"genre_scores_gemma":[0.0008317879,0.0003266038,0.0004613593,0.0001938563,0.00002050487,0.0001595851,0.9928296,0.0001279408,0.00504873],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.108063,"threshold_uncertainty_score":0.3615067,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03260041834133687,"score_gpt":0.2546787743943056,"score_spread":0.2220783560529687,"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."}}