{"id":"W6976737800","doi":"10.6068/dp14ba8c373a023","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 to 54 years, Other personal (including maternity leave), Other services, 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; Summary statistics; Socioeconomic status; Work (physics); Turnover; Population statistics; Wages and salaries","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":[0.002473794,0.002585537,0.003101614,0.009050418,0.003140272,0.004556341,0.005714454,0.001520413,0.08995604],"category_scores_gemma":[0.01926529,0.001877856,0.002593893,0.04051702,0.0005903429,0.002394119,0.002424198,0.003375679,0.05330543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04942867,"about_ca_system_score_gemma":0.1251243,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9954166,"about_ca_topic_score_gemma":0.9939457,"domain_scores_codex":[0.9954927,0.0003257542,0.000522428,0.000532234,0.002031204,0.001095744],"domain_scores_gemma":[0.9653624,0.001289959,0.001184056,0.0009514772,0.02952778,0.001684411],"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":[0.0000309594,0.000009377695,0.001347081,0.0002886076,0.00002830183,0.000006339405,0.00002617501,0.0001230349,0.000007769305,0.0002794591,0.9961039,0.001749145],"study_design_scores_gemma":[0.0002931904,0.00002350542,0.04662118,0.001241521,0.0001193905,0.00003487775,0.0006345474,0.0006976778,0.0001964359,0.0007148526,0.9493062,0.0001165598],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000653786,0.00005181105,0.00002477262,0.00009743576,0.00002597688,0.00001650506,0.9990234,0.0000581313,0.0006365248],"genre_scores_gemma":[0.0008490863,0.0002606426,0.0003243103,0.0001455073,0.00002047129,0.0001356498,0.994409,0.0001003475,0.00375494],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08995604,"threshold_uncertainty_score":0.3586318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02943690166436686,"score_gpt":0.2557821213890981,"score_spread":0.2263452197247313,"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."}}