{"id":"W6976162454","doi":"10.6068/dp14ba8cfefae42","title":"Trend 1987 - 2013. Statistics Canada. CANSIM: Labor - Labor Mobility, Turnover and Work Absences | Country: Canada | Table: Labour force survey estimates (LFS), average days lost for personal reasons per full-time employee by North American Industry Classification System (NAICS), sex and age group | Variable: 25 years and over, Own illness or disability, Information, culture and recreation, Males | Units: # Days, 1987-2013. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-141.","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; Economic statistics; Socioeconomic status; Summary statistics; Work (physics); Turnover; General Social Survey; Population 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":[0.002434272,0.002617075,0.003102147,0.009074136,0.003182275,0.00464076,0.005769943,0.001549527,0.09067887],"category_scores_gemma":[0.01929831,0.001880491,0.002658487,0.04103713,0.0005996267,0.002443571,0.002447364,0.003371957,0.05437283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04935566,"about_ca_system_score_gemma":0.12591,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9955598,"about_ca_topic_score_gemma":0.9940913,"domain_scores_codex":[0.9955068,0.0003190139,0.0005216683,0.0005248233,0.00203463,0.001093027],"domain_scores_gemma":[0.9654556,0.001252555,0.001148204,0.0009477914,0.02955279,0.001643179],"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":[0.00003003175,0.000009192157,0.001311103,0.0002881233,0.00002807766,0.000006272081,0.00002606289,0.0001221189,0.000007505053,0.0002753503,0.9961948,0.001701363],"study_design_scores_gemma":[0.0002886759,0.00002251373,0.04491726,0.001252174,0.0001191023,0.00003407993,0.0006409204,0.0006879876,0.0001919339,0.0007052411,0.9510239,0.0001161682],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006319791,0.00005124071,0.00002375443,0.00009694667,0.00002581201,0.00001611715,0.9990313,0.00005613744,0.0006355253],"genre_scores_gemma":[0.0008166532,0.0002555849,0.0003062258,0.0001405435,0.00002004785,0.0001325637,0.9946299,0.00009564183,0.003602767],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09067887,"threshold_uncertainty_score":0.3581021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01855910918389967,"score_gpt":0.2469514538935127,"score_spread":0.228392344709613,"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."}}