{"id":"W7135542173","doi":"","title":"High employment keeps increasing numbers of older workers","year":2016,"lang":"cs","type":"other","venue":"Digital Repository (National Repository of Grey Literature)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Duration (music); Unemployment; Casual; Work (physics)","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":[0.001735933,0.0002310436,0.0004990142,0.003281623,0.00119337,0.003134237,0.0007996876,0.001520223,0.03874383],"category_scores_gemma":[0.007456351,0.0001863508,0.0005957683,0.007056224,0.0006648131,0.003198672,0.001834228,0.001286915,0.01158544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001289843,"about_ca_system_score_gemma":0.002525069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0184941,"about_ca_topic_score_gemma":0.02053986,"domain_scores_codex":[0.9985908,0.0001877769,0.0001499851,0.000233439,0.0006227784,0.0002151594],"domain_scores_gemma":[0.9955492,0.001033386,0.001108304,0.0002285206,0.001287428,0.00079319],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002761164,0.00009660579,0.09407716,0.00668729,0.0001661474,0.001712804,0.01523689,0.0001572753,0.001204267,0.01814776,0.3712549,0.4909827],"study_design_scores_gemma":[0.00003418121,0.0001195204,0.3050922,0.007919803,0.0001535362,0.001812852,0.01451753,0.00009705115,0.0003160218,0.01026848,0.6596147,0.00005415502],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.2558119,0.2251007,0.0019766,0.1507426,0.007070793,0.0001411328,0.04287027,0.0006971736,0.3155889],"genre_scores_gemma":[0.6795009,0.2155242,0.001925476,0.02139493,0.00734531,0.0001513535,0.01417725,0.0004094621,0.05957111],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03874383,"threshold_uncertainty_score":0.129611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00648374251149614,"score_gpt":0.2400648217957939,"score_spread":0.2335810792842977,"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."}}