{"id":"W6901500339","doi":"10.6068/dp14ba8a92c5015","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 North American Industry Classification System (NAICS) | Variable: Total days lost per worker in a year, Federal administration, Females | 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; Official statistics; Economic statistics; Work (physics); Socioeconomic status; 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":[0.002269239,0.002565092,0.002788062,0.00904731,0.003333629,0.004478917,0.005934787,0.001544832,0.07430483],"category_scores_gemma":[0.01899536,0.001717938,0.002255039,0.03901999,0.0006144444,0.002396423,0.002385088,0.003190014,0.04660485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04890496,"about_ca_system_score_gemma":0.1227444,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9947703,"about_ca_topic_score_gemma":0.9933712,"domain_scores_codex":[0.9959889,0.0002776791,0.000418232,0.0005178241,0.001815306,0.0009820644],"domain_scores_gemma":[0.9671446,0.001193559,0.001092248,0.0009432011,0.02801173,0.001614669],"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":[0.0000250894,0.000007456594,0.001296205,0.0002385604,0.00002396557,0.000006671884,0.00002448867,0.0001171528,0.000008039698,0.0003204141,0.9963788,0.001553151],"study_design_scores_gemma":[0.0001985735,0.00001617466,0.03450556,0.001045402,0.00009004681,0.00003252461,0.0005597784,0.0006034884,0.0001886365,0.0007591812,0.9618961,0.0001045981],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005592907,0.0000456948,0.00002302331,0.0001019569,0.0000202694,0.00001323228,0.9991521,0.00005174187,0.0005361628],"genre_scores_gemma":[0.0007685536,0.0002370021,0.0003362189,0.0001247276,0.00001670953,0.0001200734,0.9955633,0.00008516509,0.002748286],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07430483,"threshold_uncertainty_score":0.3548319,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02566062900501124,"score_gpt":0.2568607945560535,"score_spread":0.2312001655510423,"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."}}