{"id":"W6938910200","doi":"10.6068/dp14ba8b05fbd86","title":"Trend 2006 - 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: 55 to 64 years, Other personal (including maternity leave), Trade, Males | Units: # Days, 2006-2013. 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; Social 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":[0.002342157,0.002522567,0.002932599,0.007992405,0.003084154,0.004371426,0.005528235,0.00143811,0.08746282],"category_scores_gemma":[0.01816915,0.001757335,0.002543892,0.03710359,0.0005767772,0.002252263,0.002283014,0.003121358,0.04879481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05092281,"about_ca_system_score_gemma":0.1302633,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9960073,"about_ca_topic_score_gemma":0.9944258,"domain_scores_codex":[0.9956185,0.0003107151,0.0004985203,0.0005193267,0.001998733,0.001054405],"domain_scores_gemma":[0.9654126,0.001251814,0.00112082,0.0008795408,0.02969862,0.001636611],"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":[0.00003294412,0.00000897308,0.001427673,0.0002766964,0.00002833922,0.000006665633,0.00002507155,0.0001208882,0.000008740202,0.0002886798,0.9959248,0.00185052],"study_design_scores_gemma":[0.0002845145,0.00002462755,0.04611483,0.001236131,0.0001202572,0.0000377971,0.000684204,0.0007350406,0.0002249118,0.0007088684,0.9497046,0.0001241742],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007263128,0.00005741006,0.00002673204,0.000121524,0.00003090002,0.00001630433,0.9988757,0.00006215215,0.0007366651],"genre_scores_gemma":[0.001053286,0.0003088324,0.0003949075,0.000188157,0.00002265026,0.0001371824,0.9931118,0.0001110036,0.004672179],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08746282,"threshold_uncertainty_score":0.3694726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03218531073589848,"score_gpt":0.2565046417844957,"score_spread":0.2243193310485972,"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."}}