{"id":"W6938998418","doi":"10.6068/dp14ba89dd54654","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 age group | Variable: Incidence rate, illness or disability, 25 to 34 years, 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; Official statistics; Economic 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002467759,0.00257373,0.00287241,0.009010315,0.003104551,0.004287542,0.00599938,0.001520396,0.08146793],"category_scores_gemma":[0.0193052,0.001822769,0.002421054,0.03804755,0.0005972722,0.002308255,0.002308033,0.003200872,0.04285311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05583062,"about_ca_system_score_gemma":0.139228,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9957058,"about_ca_topic_score_gemma":0.9942638,"domain_scores_codex":[0.9956543,0.000310978,0.0004976168,0.0005115376,0.001988824,0.001036707],"domain_scores_gemma":[0.9654974,0.001243747,0.001152875,0.0008873967,0.02944714,0.001771428],"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":[0.00003048327,0.000008214131,0.001412993,0.0003365307,0.0000281696,0.00000760059,0.00002781575,0.0001374371,0.000008996662,0.0003573799,0.9956363,0.002008087],"study_design_scores_gemma":[0.0002419325,0.00002014245,0.04183409,0.001464973,0.0001153474,0.0000382913,0.00061668,0.0006837407,0.0001938477,0.0008248258,0.9538439,0.0001222394],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005924825,0.00006011233,0.00002665462,0.0001168184,0.00002315456,0.00001764981,0.9990001,0.00005195353,0.0006442516],"genre_scores_gemma":[0.001090097,0.000375814,0.000460686,0.0001788693,0.00002102666,0.0001756045,0.9937728,0.0001084682,0.00381662],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08146793,"threshold_uncertainty_score":0.4050813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01824353607662243,"score_gpt":0.2581318666493386,"score_spread":0.2398883305727161,"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."}}