{"id":"W6976560528","doi":"10.6068/dp14ba8e28cc24","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 44 years, Total, days lost (including maternity leave), Health care and social assistance, Males | 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":"History and Theory of Mathematics","field":"Mathematics","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; Wages and salaries","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":[0.001319087,0.0008754128,0.001581575,0.0001024393,0.0004999417,0.0004544685,0.0009168402,0.0004848077,0.0003229551],"category_scores_gemma":[0.0002415233,0.0008752471,7.799895e-7,0.0003499591,0.000579778,0.0002677287,0.00054828,0.0008414821,0.000008692601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006075235,"about_ca_system_score_gemma":0.003974237,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9793577,"about_ca_topic_score_gemma":0.9948187,"domain_scores_codex":[0.9951895,0.0007143266,0.0009648597,0.001312058,0.0009544877,0.0008647258],"domain_scores_gemma":[0.9948946,0.001940962,0.001108099,0.001232542,0.0001452217,0.0006786078],"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":[0.0001794802,0.00008634682,0.000985186,0.004452033,0.0002787447,0.00006943806,0.0001561889,0.000001921058,0.000002909737,0.0009246322,0.9928085,0.00005461966],"study_design_scores_gemma":[0.0005711339,0.0001528373,0.0004636635,0.0002022232,0.0003023102,0.00007914559,0.002127692,0.0004268334,1.635352e-8,0.000001905395,0.9947497,0.0009225217],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001455352,0.001378259,0.00005045877,0.000009594962,0.0002713044,0.001176025,0.9953881,0.0000812554,0.0001896849],"genre_scores_gemma":[0.001306775,0.000187796,0.001382384,0.0001435909,0.0001883824,0.00003995796,0.9931784,0.000250164,0.003322514],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01546105,"threshold_uncertainty_score":0.9993698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03781441406661793,"score_gpt":0.2747345289704332,"score_spread":0.2369201149038152,"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."}}