{"id":"W6976393552","doi":"10.6068/dp14ba8a09e6556","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: Inactivity rate, illness or disability, 15 to 19 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":"Social and Demographic Issues in Germany","field":"Health Professions","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; Statistical analysis","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001368068,0.00079131,0.001624018,0.0000829909,0.0004093676,0.0001400279,0.001493734,0.0007277203,0.004294348],"category_scores_gemma":[0.0004019193,0.0006698189,3.330955e-7,0.0008803671,0.0009262474,0.0004198063,0.001426108,0.001117207,0.00001413346],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002443321,"about_ca_system_score_gemma":0.008041828,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9992848,"about_ca_topic_score_gemma":0.9990164,"domain_scores_codex":[0.9939327,0.001437062,0.00113197,0.001413953,0.001033008,0.001051326],"domain_scores_gemma":[0.9919324,0.004055084,0.0007965286,0.002241019,0.00009652323,0.0008784409],"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":[0.0003140454,0.000162011,0.001442206,0.001492237,0.0002155832,0.0002570717,0.00004377399,0.000001205879,0.000005865853,0.0001983678,0.9957361,0.0001315554],"study_design_scores_gemma":[0.0006870559,0.0001340874,0.0002655851,0.0001552661,0.0002216804,0.00002024511,0.0007901077,0.0000429855,1.961583e-8,0.000002889699,0.9968579,0.0008221857],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001062439,0.004157104,0.000003760951,0.00001031677,0.001056742,0.001394053,0.9924707,0.00008179593,0.0007193252],"genre_scores_gemma":[0.00009755739,0.001279925,0.0001833439,0.0005326598,0.0003146064,0.00006523759,0.9857781,0.000167494,0.0115811],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01086177,"threshold_uncertainty_score":0.9995753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02836004834017116,"score_gpt":0.3153933712054545,"score_spread":0.2870333228652833,"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."}}