{"id":"W6901516623","doi":"10.6068/dp14ba8cfebc740","title":"Trend 1987 - 2013. Statistics Canada. CANSIM: Labor - Labor Mobility, Turnover and Work Absences | Country: Canada | Table: Labour force survey estimates (LFS), average days lost for personal reasons per full-time employee by North American Industry Classification System (NAICS), sex and age group | Variable: 25 to 54 years, Own illness or disability, Health care and social assistance, Both sexes | Units: # Days, 1987-2013. 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; Summary statistics; Socioeconomic status; Turnover; Work (physics); Social statistics; Population statistics; General Social Survey","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":[0.002476652,0.002637478,0.003156958,0.009084424,0.003129296,0.004602307,0.005828585,0.001555,0.08874495],"category_scores_gemma":[0.01947572,0.001911131,0.002702862,0.04067165,0.0005940993,0.002413044,0.002458219,0.003422293,0.05211652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04965329,"about_ca_system_score_gemma":0.1264623,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9954795,"about_ca_topic_score_gemma":0.9939918,"domain_scores_codex":[0.9955226,0.0003246664,0.000529012,0.0005223716,0.002017148,0.001084176],"domain_scores_gemma":[0.965749,0.001271871,0.001175683,0.0009433561,0.02920446,0.001655717],"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":[0.00003149451,0.000009492156,0.00134028,0.0003061321,0.00002992301,0.000006403296,0.0000263762,0.0001278842,0.000007681318,0.0002894991,0.9960849,0.001739952],"study_design_scores_gemma":[0.0003050892,0.00002339712,0.04608083,0.001321569,0.0001239297,0.0000355044,0.0006260307,0.0007079334,0.000195121,0.0007282724,0.9497324,0.0001199983],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000062568,0.00005253466,0.0000238366,0.00009550915,0.00002554574,0.0000166158,0.9990496,0.0000551879,0.0006186339],"genre_scores_gemma":[0.0008218295,0.0002665244,0.0003174841,0.0001429633,0.0000202925,0.0001396216,0.994642,0.00009527439,0.003553833],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08874495,"threshold_uncertainty_score":0.3602616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02276821316742122,"score_gpt":0.2661309468247757,"score_spread":0.2433627336573545,"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."}}