{"id":"W6920488057","doi":"10.6068/dp14ba891d02c61","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 presence of children | Variable: Incidence rate, illness or disability, With children, 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; Socioeconomic status; Work (physics); Summary statistics; Turnover; Population statistics; 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","sts","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.001802118,0.001723693,0.002706524,0.0001492136,0.0002682575,0.0004167912,0.004111296,0.0006693685,0.003238433],"category_scores_gemma":[0.0007961445,0.001377109,4.006154e-7,0.001681972,0.003599066,0.00129622,0.002137044,0.001119019,0.00002096151],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002746115,"about_ca_system_score_gemma":0.01946567,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9994295,"about_ca_topic_score_gemma":0.9991089,"domain_scores_codex":[0.9899664,0.001318275,0.001950236,0.002837763,0.002477953,0.00144936],"domain_scores_gemma":[0.9873051,0.003784929,0.00224828,0.005131503,0.0004370139,0.001093158],"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":[0.0008906318,0.0003627276,0.01619202,0.001296211,0.0008292167,0.0001462964,0.00001104351,0.00005560486,0.00002743343,0.00009210531,0.9800481,0.00004863608],"study_design_scores_gemma":[0.001287142,0.000343589,0.001427606,0.0003714134,0.0007589973,0.0003707907,0.0001705383,0.0003148501,8.731446e-7,5.988905e-7,0.9932104,0.001743186],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005277322,0.007754431,0.000003327652,0.000003895865,0.0002397694,0.002068625,0.9891382,0.000108269,0.0001557144],"genre_scores_gemma":[0.0006483407,0.001218235,0.0003967781,0.00007221898,0.0001417501,0.00005289013,0.9944836,0.0004869985,0.002499166],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01919106,"threshold_uncertainty_score":0.9995509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01665875522110356,"score_gpt":0.251283914868045,"score_spread":0.2346251596469415,"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."}}