{"id":"W6920762416","doi":"10.6068/dp14ba8d70aab93","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 North American Industry Classification System (NAICS) | Variable: Total days lost per worker in a year, Finance, insurance, real estate and leasing, 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; Economic statistics; Official statistics; Work (physics); Summary statistics; Socioeconomic status; 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":[0.002122432,0.002562149,0.002728578,0.008747327,0.003161122,0.004312404,0.005685772,0.001515342,0.07090517],"category_scores_gemma":[0.01787586,0.001677255,0.002215744,0.03805815,0.0006002929,0.002256848,0.002302599,0.003080217,0.04461243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04692468,"about_ca_system_score_gemma":0.1173711,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9947202,"about_ca_topic_score_gemma":0.9935087,"domain_scores_codex":[0.9961262,0.0002596718,0.0004259785,0.0005087566,0.001709869,0.0009695553],"domain_scores_gemma":[0.9695431,0.001114884,0.001084158,0.0008540945,0.02587743,0.001526304],"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":[0.00002610915,0.000007634134,0.00141762,0.0002426381,0.00002425868,0.000006853173,0.00002408698,0.0001172569,0.000008073254,0.0003067677,0.9962912,0.00152761],"study_design_scores_gemma":[0.0002157415,0.00001783396,0.03997884,0.001127732,0.00009754138,0.00003619775,0.000606427,0.0006591793,0.0002085492,0.0007339475,0.9562094,0.0001086331],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005849029,0.00004555389,0.00001996289,0.00009067555,0.00001905994,0.00001225795,0.9992183,0.00004549445,0.000490018],"genre_scores_gemma":[0.0007727726,0.0002307349,0.0002830395,0.0001191612,0.00001614536,0.0001090904,0.9956909,0.00007166283,0.0027064],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07090517,"threshold_uncertainty_score":0.340464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01687964043158869,"score_gpt":0.2392842000944277,"score_spread":0.2224045596628391,"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."}}