{"id":"W6976382396","doi":"10.6068/dp14ba8dcb70e94","title":"Trend 1997 - 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 (excluding maternity leave), Services-producing sector, Both sexes | Units: # Days, 1997-2013. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-141.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"Education Methods and Technologies","field":"Social Sciences","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002073494,0.0006551118,0.0009531672,0.0001099317,0.0005087959,0.0007383639,0.001334054,0.0005108179,0.0006819605],"category_scores_gemma":[0.0002888441,0.0006340007,5.347904e-7,0.0007097048,0.0005881762,0.0003460929,0.0004547057,0.0007780922,0.000007498419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004252678,"about_ca_system_score_gemma":0.004705181,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9994129,"about_ca_topic_score_gemma":0.9992668,"domain_scores_codex":[0.9951992,0.0008397549,0.0006144565,0.001471376,0.001005081,0.0008701176],"domain_scores_gemma":[0.9959389,0.00152421,0.0007285657,0.00112712,0.0001242108,0.0005569838],"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":[0.00006279846,0.00004598206,0.01679041,0.0007670834,0.0001825052,0.00002098583,0.0001624278,0.000003622336,0.000005635782,0.0001369192,0.9817183,0.0001033021],"study_design_scores_gemma":[0.0002513953,0.00005905477,0.002011546,0.0001150831,0.0001612809,0.00001480895,0.005804518,0.0005494864,4.049264e-8,3.881387e-7,0.9902828,0.0007496217],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002122415,0.001012637,0.00002188311,0.00002676626,0.0004439711,0.0008999277,0.9952216,0.0001387184,0.0001120465],"genre_scores_gemma":[0.001328839,0.0003096178,0.001392174,0.000228883,0.0003073272,0.00004973938,0.9930788,0.0001630898,0.003141554],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01477887,"threshold_uncertainty_score":0.9996111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03983474111114589,"score_gpt":0.2899304975878357,"score_spread":0.2500957564766898,"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."}}