{"id":"W6957690846","doi":"10.6068/dp14ba8c3716e21","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: Inactivity rate, illness or disability, Other teachers and professors, 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; Work (physics); Summary statistics; 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":[0.002372244,0.00257311,0.002878185,0.009182259,0.003232569,0.004444654,0.005977355,0.001537135,0.07332413],"category_scores_gemma":[0.0190132,0.001776046,0.002359916,0.04012615,0.0006217941,0.002392364,0.002355467,0.003306232,0.04228168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0537502,"about_ca_system_score_gemma":0.1332528,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9954159,"about_ca_topic_score_gemma":0.9939373,"domain_scores_codex":[0.9956837,0.0002960936,0.0004658962,0.000544309,0.001962285,0.001047756],"domain_scores_gemma":[0.9665062,0.001208287,0.001143359,0.000923757,0.02854849,0.001669868],"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":[0.00002725158,0.000008099776,0.001444835,0.0002955369,0.00002753909,0.000007387938,0.00002870733,0.0001305239,0.000008987258,0.000368518,0.9958304,0.00182227],"study_design_scores_gemma":[0.0002035331,0.00001715748,0.03850039,0.001229959,0.0001027606,0.00003534363,0.0006011332,0.0006273845,0.0001913748,0.0007952537,0.9575847,0.0001109111],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000593009,0.00005486419,0.0000258998,0.0001099557,0.0000218595,0.00001491991,0.9990804,0.00004992727,0.0005828881],"genre_scores_gemma":[0.0009435039,0.0003191773,0.000417396,0.0001498374,0.00001930159,0.0001473604,0.9946898,0.00009472523,0.003218938],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07332413,"threshold_uncertainty_score":0.3899868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0393049295297169,"score_gpt":0.2995811342780262,"score_spread":0.2602762047483094,"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."}}