{"id":"W6920240734","doi":"10.6068/dp14ba888b54476","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: 55 years and over, Own illness or disability, Trade, 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":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Official statistics; Economic statistics; Work (physics); Summary statistics; Socioeconomic status; Turnover; General Social Survey; 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":[0.002147783,0.002390651,0.0027556,0.008498677,0.003075849,0.004226363,0.005596587,0.001533002,0.08274065],"category_scores_gemma":[0.01938055,0.001653977,0.002324226,0.03919883,0.0005817054,0.002064498,0.002293348,0.003094987,0.04677588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04769951,"about_ca_system_score_gemma":0.1184303,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9946676,"about_ca_topic_score_gemma":0.9934468,"domain_scores_codex":[0.9961115,0.0002947161,0.0004677368,0.0004815377,0.001685699,0.000958901],"domain_scores_gemma":[0.9682679,0.001325485,0.001113631,0.0009552081,0.02673193,0.001605833],"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":[0.00002505882,0.00000710186,0.00105052,0.0002580457,0.00002360348,0.000006166785,0.00002360785,0.0001173425,0.000007229131,0.0003192852,0.9966822,0.001479798],"study_design_scores_gemma":[0.000240973,0.00001671794,0.03302295,0.001202067,0.0001020699,0.0000333995,0.0005867165,0.0006100002,0.0001822869,0.0008082248,0.9630886,0.0001058987],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005049113,0.00004560127,0.00002049429,0.00008945836,0.000019528,0.00001233822,0.999207,0.00004554477,0.0005095969],"genre_scores_gemma":[0.0007394658,0.0002355172,0.0003057021,0.0001210466,0.00001526679,0.0001156632,0.9956776,0.00007736269,0.00271228],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08274065,"threshold_uncertainty_score":0.3460858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02475723157433201,"score_gpt":0.2538514617757642,"score_spread":0.2290942302014322,"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."}}