{"id":"W6958118184","doi":"10.6068/dp14ba8efeb0419","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), Business, building and other support services, Females | 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; Socioeconomic status; Summary statistics; Turnover; Work (physics); 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.001924345,0.001621068,0.002113207,0.000243904,0.0004572704,0.001448007,0.001836454,0.0007857103,0.0008394793],"category_scores_gemma":[0.0002328419,0.001629999,7.214266e-7,0.001306644,0.0007969788,0.0007699853,0.001513129,0.001173601,0.00004976422],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006987575,"about_ca_system_score_gemma":0.006015491,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9990723,"about_ca_topic_score_gemma":0.9988446,"domain_scores_codex":[0.9918293,0.0007979146,0.001359385,0.002728051,0.001692852,0.001592496],"domain_scores_gemma":[0.9928676,0.001578333,0.001543594,0.002356709,0.0003267373,0.001326965],"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":[0.0003865153,0.0001136337,0.0341015,0.002784054,0.0005590208,0.0002299353,0.00002998994,0.00002957434,0.00005919002,0.00007104716,0.9616036,0.00003198399],"study_design_scores_gemma":[0.0009894063,0.0001389613,0.01039132,0.0003128538,0.000626909,0.0003123519,0.000714427,0.002855381,7.726045e-8,1.043373e-7,0.9818572,0.001800952],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.004351918,0.001397849,0.00001764443,0.000007773077,0.0003744595,0.001851504,0.9917349,0.0001696681,0.00009428741],"genre_scores_gemma":[0.003024266,0.0003244557,0.000773624,0.0002448962,0.0002905367,0.00007483055,0.9924954,0.0007499069,0.002022126],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02371019,"threshold_uncertainty_score":0.9996537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03173654853861907,"score_gpt":0.2609076609137263,"score_spread":0.2291711123751072,"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."}}