{"id":"W6976749185","doi":"10.6068/dp14ba8c37b0f25","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 incidence rate, Professional, scientific and technical 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; Official statistics; Economic statistics; Work (physics); Summary statistics; Socioeconomic status; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001882125,0.001237767,0.001802862,0.0002063906,0.0004346014,0.0008118601,0.002342007,0.0008019983,0.000520213],"category_scores_gemma":[0.0001899576,0.001118722,2.928458e-7,0.001995313,0.002392386,0.001100382,0.001652334,0.001663606,0.00001862913],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004409238,"about_ca_system_score_gemma":0.01954184,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9975508,"about_ca_topic_score_gemma":0.9979103,"domain_scores_codex":[0.9913522,0.001107351,0.001632245,0.002615469,0.002130181,0.001162543],"domain_scores_gemma":[0.9911965,0.001749605,0.002248318,0.003356359,0.0003210072,0.001128231],"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":[0.0002141542,0.0001673166,0.004547426,0.00213783,0.0002352751,0.0001351737,0.000006958101,0.00001410655,0.000149324,0.0001002826,0.992255,0.0000371648],"study_design_scores_gemma":[0.0006021999,0.000130775,0.0008982462,0.0003814116,0.0004136079,0.0002970454,0.0007494884,0.001865342,1.63667e-7,1.406889e-7,0.9934919,0.001169668],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008568871,0.005055858,0.000001474095,0.00000404703,0.0005200531,0.001390214,0.991873,0.0001529345,0.0001455169],"genre_scores_gemma":[0.001002314,0.0003988221,0.0003012143,0.00008289175,0.0001334514,0.00006813279,0.9944097,0.0003292607,0.003274187],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01910091,"threshold_uncertainty_score":0.9991263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01934153734794963,"score_gpt":0.2581177114377261,"score_spread":0.2387761740897765,"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."}}