{"id":"W6919974101","doi":"10.6068/dp14ba89afb2045","title":"Most Recent Data (2007). 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: 45 years and over, Own illness or disability, Utilities, Females | Units: # Days, 2007. 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; Economic statistics; Official statistics; Summary statistics; Work (physics); Socioeconomic status; Turnover; Population statistics; Social 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":[0.002421377,0.002427524,0.002774465,0.007886177,0.003342494,0.004552272,0.005407762,0.001601535,0.09992857],"category_scores_gemma":[0.02160948,0.00166717,0.002227522,0.04311218,0.0006852494,0.002176021,0.002415204,0.003180708,0.05958652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04948093,"about_ca_system_score_gemma":0.1263571,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9945658,"about_ca_topic_score_gemma":0.9929456,"domain_scores_codex":[0.9952924,0.0003268486,0.0005366115,0.0005539578,0.002166111,0.001123968],"domain_scores_gemma":[0.9575298,0.001929788,0.001209081,0.001221824,0.0361229,0.001986614],"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":[0.00001959157,0.000006896879,0.0007681891,0.0002119892,0.00001502232,0.000004568921,0.00001772904,0.00008935491,0.00000630863,0.0002098747,0.9975148,0.001135694],"study_design_scores_gemma":[0.0002245597,0.00001433712,0.02939706,0.0009696265,0.00008078814,0.00002488586,0.0005271056,0.0004176867,0.0001618629,0.0005806773,0.9675035,0.00009791199],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003986976,0.0000351895,0.00001418546,0.0000817622,0.00001656419,0.00001023874,0.9992403,0.00003887234,0.0005230318],"genre_scores_gemma":[0.0005920663,0.0001984098,0.0002715118,0.0001277018,0.00001358375,0.0001012676,0.9959192,0.00007227439,0.002703966],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09992857,"threshold_uncertainty_score":0.3590109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03548047413121794,"score_gpt":0.2668046954667998,"score_spread":0.2313242213355819,"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."}}