{"id":"W6901593605","doi":"10.6068/dp14ba8d12cfb75","title":"Trend 1987 - 2012. Statistics Canada. CANSIM: Labor - Labor Mobility, Turnover and Work Absences | Country: Canada | Table: Absence rates of full-time employees, by sex and National Occupational Classification for Statistics | Variable: Days lost per worker in a year, illness or disability, Management occupations, Both sexes | Units: , 1987-2012. 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; Socioeconomic status; Work (physics); Summary statistics; Population statistics; Turnover; 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":[0.002460449,0.0026217,0.002908234,0.009465591,0.003311381,0.004521571,0.006070558,0.001550975,0.07677992],"category_scores_gemma":[0.01991975,0.00183395,0.002429659,0.04102786,0.0006312832,0.002455393,0.002448351,0.003291476,0.04401489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05521468,"about_ca_system_score_gemma":0.1399122,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9956576,"about_ca_topic_score_gemma":0.9942241,"domain_scores_codex":[0.9955244,0.0003094607,0.0004959354,0.0005451343,0.002050951,0.001074174],"domain_scores_gemma":[0.9646175,0.001255775,0.001198555,0.0009569084,0.03022776,0.001743453],"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":[0.00002769285,0.000008049025,0.001400603,0.0003046942,0.0000275629,0.000007312091,0.00002832727,0.0001282317,0.00000862568,0.000367212,0.9958734,0.00181819],"study_design_scores_gemma":[0.0002065342,0.00001756881,0.03836618,0.001248297,0.0001017217,0.00003544062,0.0005915747,0.0006149718,0.0001885873,0.0007898032,0.9577259,0.0001133208],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005965049,0.00005658512,0.00002549307,0.0001149022,0.00002266153,0.00001578665,0.9990275,0.00005203766,0.0006254487],"genre_scores_gemma":[0.0009381498,0.000326053,0.0004160252,0.0001532909,0.00001950932,0.0001496951,0.994586,0.000099295,0.00331194],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07677992,"threshold_uncertainty_score":0.4006125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0301272529345263,"score_gpt":0.2859067451435611,"score_spread":0.2557794922090348,"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."}}