{"id":"W6958007588","doi":"10.6068/dp14ba8f35b5289","title":"Trend 2000 - 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: 55 to 64 years, Total, days lost (including maternity leave), Professional, scientific and technical services, Both sexes | Units: # Days, 2000-2013. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-141.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"Pancreatic function and diabetes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Economic statistics; Official statistics; Socioeconomic status; Work (physics); Turnover; Summary statistics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002474271,0.002542241,0.002966663,0.008306189,0.002976142,0.004492061,0.005564031,0.001570683,0.09089927],"category_scores_gemma":[0.02025727,0.001859111,0.002662858,0.03783007,0.0005555488,0.002306338,0.002360272,0.003405892,0.04985587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04684198,"about_ca_system_score_gemma":0.1151629,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9951717,"about_ca_topic_score_gemma":0.9936824,"domain_scores_codex":[0.9959471,0.0003113695,0.0005099858,0.0005013117,0.001750426,0.0009799467],"domain_scores_gemma":[0.9664708,0.001321957,0.001141944,0.0009518884,0.02852779,0.001585505],"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":[0.00003252957,0.000008636097,0.0013612,0.0003249795,0.0000303897,0.000006856243,0.00002764073,0.0001258818,0.000008729484,0.000285125,0.9959033,0.001884599],"study_design_scores_gemma":[0.0003072632,0.00002337095,0.04668637,0.001495928,0.0001286929,0.00003840257,0.0006642397,0.0007104042,0.0002114743,0.0008383314,0.9487631,0.0001326109],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006166687,0.00005476532,0.00002649304,0.0001073195,0.00002794251,0.00001681998,0.9990296,0.00006020573,0.000615228],"genre_scores_gemma":[0.0008807839,0.0002807728,0.0003916398,0.0001758991,0.00002117738,0.0001521267,0.9943818,0.000109059,0.003606672],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09089927,"threshold_uncertainty_score":0.339864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0246279745263747,"score_gpt":0.2608285628722991,"score_spread":0.2362005883459244,"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."}}