{"id":"W6958454854","doi":"10.6068/dp14baa3e16c373","title":"Trend 1987 - 2012. Statistics Canada. CANSIM: Labor - Labor Mobility, Turnover and Work Absences | Country: Canada | Province: Newfoundland and Labrador | Table: Absence rates of full-time employees, by sex | Variable: Days lost per worker in a year, illness or disability, 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); 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":[0.002487639,0.00270314,0.003050836,0.009203755,0.003387903,0.004696932,0.006156355,0.001623833,0.07831],"category_scores_gemma":[0.01987587,0.00191455,0.002474683,0.04172414,0.0006546807,0.002567807,0.00240302,0.003279303,0.04455855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05868176,"about_ca_system_score_gemma":0.1468378,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9960954,"about_ca_topic_score_gemma":0.9948831,"domain_scores_codex":[0.9953745,0.000308236,0.0005297175,0.0005601873,0.002085436,0.001141976],"domain_scores_gemma":[0.9623335,0.001267387,0.001235409,0.0009744485,0.03240949,0.001779795],"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":[0.00002679744,0.000007821215,0.001338387,0.000301077,0.0000273395,0.000007238797,0.00002704155,0.0001243868,0.000008490124,0.000339871,0.9960371,0.001754575],"study_design_scores_gemma":[0.0002165493,0.00001880094,0.0395273,0.001264734,0.0001103843,0.00003663083,0.0006437504,0.0006048828,0.0001971256,0.0007290395,0.9565341,0.0001167259],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005966253,0.00005955549,0.00002444698,0.0001178493,0.00002491698,0.00001627089,0.9989833,0.00005143437,0.000662637],"genre_scores_gemma":[0.001014842,0.0003597527,0.0004292536,0.0001712378,0.00002124247,0.0001576072,0.9938982,0.0001065602,0.003841309],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07831,"threshold_uncertainty_score":0.425768,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01567922810019691,"score_gpt":0.2502915551321379,"score_spread":0.234612327031941,"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."}}