{"id":"W6920395229","doi":"10.6068/dp14ba8b056f783","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: Inactivity rate, illness or disability, Educational services, 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; 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":[0.002174516,0.002523719,0.002803377,0.008730387,0.003217204,0.004367494,0.005896992,0.001517907,0.0729535],"category_scores_gemma":[0.01809723,0.001704707,0.002292928,0.03826152,0.000602826,0.002302946,0.002335004,0.003200496,0.0430542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04959486,"about_ca_system_score_gemma":0.1253323,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9951609,"about_ca_topic_score_gemma":0.9939471,"domain_scores_codex":[0.9960646,0.0002724753,0.0004221419,0.0005093276,0.001758287,0.0009731998],"domain_scores_gemma":[0.968979,0.00112573,0.00104266,0.0008713531,0.02640069,0.001580617],"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":[0.00002592849,0.000007523891,0.001350829,0.0002571954,0.00002595753,0.000007022165,0.00002595454,0.0001267831,0.000008152514,0.0003424173,0.9962373,0.001584926],"study_design_scores_gemma":[0.0002172677,0.00001719038,0.03664087,0.001154336,0.0001012427,0.00003670136,0.0006018798,0.0006573214,0.0001960925,0.0008069157,0.9594612,0.0001091086],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005843159,0.00004935613,0.00002332971,0.0001048001,0.00002076755,0.00001343568,0.9991412,0.00004821353,0.0005404134],"genre_scores_gemma":[0.0008561909,0.0002631867,0.000348044,0.0001359175,0.00001768552,0.0001247493,0.9952717,0.00008465768,0.00289781],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0729535,"threshold_uncertainty_score":0.3598376,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0208566312820813,"score_gpt":0.2606648137453844,"score_spread":0.2398081824633031,"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."}}