{"id":"W6957826394","doi":"10.6068/dp14ba8b94afd44","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, Total, all industries, 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; Official statistics; Economic statistics; Summary statistics; Work (physics); Socioeconomic status; Turnover; Social statistics; Population 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":[0.002497933,0.002483856,0.003067554,0.008782437,0.003061636,0.00448589,0.00581043,0.001508218,0.08281755],"category_scores_gemma":[0.01916735,0.001878961,0.002556906,0.04054597,0.0005975352,0.002337199,0.002333703,0.003366502,0.04899528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05460045,"about_ca_system_score_gemma":0.1399617,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9960491,"about_ca_topic_score_gemma":0.9946036,"domain_scores_codex":[0.9952934,0.0003297648,0.0005300337,0.00052693,0.002184114,0.001135819],"domain_scores_gemma":[0.9630415,0.001273096,0.001195806,0.0009124742,0.03187166,0.001705518],"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":[0.00003044977,0.000009107207,0.001348743,0.0002931152,0.00002797769,0.000006601673,0.0000259059,0.000123289,0.000007929884,0.0002997067,0.9960549,0.001772316],"study_design_scores_gemma":[0.0002804214,0.00002356371,0.0461678,0.001342991,0.0001203634,0.00003626076,0.0007082339,0.0007148862,0.0002171082,0.000747965,0.9495182,0.0001221182],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007132224,0.00005808963,0.00002637253,0.0001231957,0.00002926922,0.00001756372,0.9989072,0.00006116045,0.0007058645],"genre_scores_gemma":[0.001028111,0.0003186149,0.0004012595,0.0001877547,0.00002284352,0.0001531413,0.9932573,0.0001139632,0.004517021],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08281755,"threshold_uncertainty_score":0.3961559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03359299829663431,"score_gpt":0.2621413002763759,"score_spread":0.2285483019797416,"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."}}