{"id":"W6901690501","doi":"10.6068/dp14ba7fe1c0672","title":"Trend 1997 - 2013. Statistics Canada. CANSIM: Labor - Commuting to Work | Country: Canada | Table: Labour Force Survey estimates (LFS), employees by union status, sex and age group | Variable: 35 to 44 years, Males, Total employees | Units: % 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":"Residence; Census; Official statistics; Economic statistics; Summary statistics; Socioeconomic status; Work (physics); General Social Survey; Time-use 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":[0.002220272,0.002350425,0.002481799,0.007529151,0.003493858,0.00462509,0.005276687,0.001392405,0.1128401],"category_scores_gemma":[0.0182075,0.001747587,0.002106572,0.0362866,0.0005609147,0.002435132,0.002366419,0.002942637,0.06299596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04699473,"about_ca_system_score_gemma":0.1288274,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9950143,"about_ca_topic_score_gemma":0.9930522,"domain_scores_codex":[0.996006,0.0002790119,0.0004338026,0.0004984493,0.001832489,0.0009502435],"domain_scores_gemma":[0.9689201,0.001079295,0.000803682,0.0008884215,0.0267727,0.001535785],"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":[0.00002433582,0.000006223897,0.0009829757,0.0002503376,0.00001842241,0.000006553209,0.0000255198,0.00008672378,0.00000896131,0.0003395787,0.996085,0.002165283],"study_design_scores_gemma":[0.0001540981,0.00001350735,0.02524859,0.001012383,0.00007319578,0.00002795103,0.0005752772,0.0004326068,0.0001549035,0.0006723004,0.9715483,0.00008691227],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005931189,0.0000591751,0.00003704167,0.0001371786,0.00003603477,0.00002100034,0.9984273,0.00007347098,0.001149658],"genre_scores_gemma":[0.0009411183,0.0003780802,0.0005561088,0.0002018606,0.00002247192,0.0001808647,0.9918597,0.0001603394,0.005699457],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1128401,"threshold_uncertainty_score":0.3774877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02380205730995395,"score_gpt":0.2538163443810779,"score_spread":0.230014287071124,"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."}}