{"id":"W6920466584","doi":"10.6068/dp14ba888b9d677","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 inactivity rate, Service-producing industries, Males | 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":[0.002141919,0.002508244,0.002785172,0.00864569,0.003244785,0.004333339,0.005917121,0.001524989,0.07148743],"category_scores_gemma":[0.01753179,0.001663536,0.002233366,0.0374782,0.0006021744,0.002289767,0.002292005,0.00318339,0.04425073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04791342,"about_ca_system_score_gemma":0.1163979,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9947457,"about_ca_topic_score_gemma":0.9934791,"domain_scores_codex":[0.9962721,0.0002590938,0.0003889255,0.000504892,0.001633714,0.0009412362],"domain_scores_gemma":[0.9704131,0.00108658,0.001011871,0.0008565236,0.02510126,0.001530551],"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":[0.00002654443,0.000007747881,0.001403671,0.0002459426,0.00002510752,0.000007023673,0.00002573591,0.0001186144,0.00000848703,0.0003196876,0.9962003,0.001611154],"study_design_scores_gemma":[0.0002157485,0.00001746837,0.03822155,0.001135037,0.00009955689,0.00003635496,0.0006059767,0.0006422334,0.0001991617,0.000787035,0.95793,0.0001098074],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005890953,0.00004660212,0.00002316154,0.00009813972,0.00001981257,0.00001286318,0.9991946,0.00004841973,0.0004975868],"genre_scores_gemma":[0.0008094456,0.0002410741,0.000327929,0.0001255311,0.00001676181,0.0001205928,0.9955556,0.00007931206,0.002723839],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07148743,"threshold_uncertainty_score":0.3476378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02780173007726658,"score_gpt":0.2469944998103514,"score_spread":0.2191927697330848,"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."}}