{"id":"W6901617322","doi":"10.6068/dp14ba8a3a0a573","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 National Occupational Classification for Statistics | Variable: Incidence rate, illness or disability, Clerical workers, 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; Work (physics); 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":[0.002541975,0.002586115,0.002909116,0.009290111,0.003200832,0.004342862,0.006085431,0.00153907,0.0789381],"category_scores_gemma":[0.02000818,0.001839655,0.002421984,0.0394891,0.0006097828,0.002329462,0.002340432,0.00327815,0.04208308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05755178,"about_ca_system_score_gemma":0.1453245,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9957958,"about_ca_topic_score_gemma":0.994402,"domain_scores_codex":[0.9954191,0.0003243093,0.0005054956,0.0005495897,0.00211101,0.0010904],"domain_scores_gemma":[0.9643796,0.001252627,0.001190428,0.0009252062,0.03042615,0.001825986],"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":[0.00002995027,0.000008362438,0.001454227,0.0003374147,0.00002895315,0.000007562662,0.00002841696,0.0001376713,0.000009479273,0.0003685259,0.9955492,0.002040425],"study_design_scores_gemma":[0.0002291931,0.00002010273,0.04193246,0.001449094,0.000117047,0.000037886,0.0006025179,0.000655914,0.0001904455,0.0008213639,0.953824,0.0001198988],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000615867,0.00006483677,0.00002874882,0.0001218003,0.00002404091,0.00001791002,0.998962,0.00005343571,0.0006656894],"genre_scores_gemma":[0.001091261,0.0003879673,0.0004938056,0.0001834195,0.00002167527,0.0001703391,0.9937934,0.0001093888,0.00374882],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0789381,"threshold_uncertainty_score":0.4175693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0333973986888099,"score_gpt":0.2887854109264908,"score_spread":0.2553880122376809,"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."}}