{"id":"W6957860567","doi":"10.6068/dp14ba8a48c0c71","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, Forestry, fishing, mining, quarrying, oil and gas, 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; Official statistics; Residence; Economic statistics; Work (physics); Summary statistics; Socioeconomic status; Social statistics; Descriptive statistics; General Social Survey","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":[0.001997907,0.002300974,0.002676403,0.00767728,0.00345857,0.00442187,0.005225343,0.001418986,0.09428591],"category_scores_gemma":[0.01626782,0.00166572,0.002196801,0.03777744,0.0005465655,0.002165266,0.002300427,0.002942656,0.05246207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04828822,"about_ca_system_score_gemma":0.1274114,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9960747,"about_ca_topic_score_gemma":0.9948997,"domain_scores_codex":[0.9960939,0.000251865,0.0004431964,0.0004913404,0.001761279,0.0009583548],"domain_scores_gemma":[0.9708065,0.0009714486,0.0008009424,0.0007562015,0.02521191,0.001452894],"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":[0.00002751466,0.000007428077,0.001274349,0.0002781152,0.00002437243,0.000006939654,0.00002908709,0.00009161082,0.000009018205,0.0003167693,0.9958973,0.002037578],"study_design_scores_gemma":[0.0001998282,0.00001778826,0.03777614,0.001126961,0.0001073803,0.00003329758,0.0007562683,0.0005394998,0.0001849085,0.0006640748,0.9584919,0.0001019512],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007807886,0.00006075525,0.00003001065,0.0001303925,0.0000340588,0.00002072367,0.9985451,0.00005853277,0.001042345],"genre_scores_gemma":[0.00103173,0.0003433411,0.0004180783,0.000201897,0.00002064218,0.0001596039,0.9924411,0.0001020738,0.005281625],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09428591,"threshold_uncertainty_score":0.3503572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02981436427084434,"score_gpt":0.254840914918441,"score_spread":0.2250265506475967,"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."}}