{"id":"W4391434110","doi":"10.15173/glj.v15i1.5408","title":"Pandemic Necrolabour and Essential Workers in the UK and France","year":2024,"lang":"en","type":"article","venue":"Global Labour Journal","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Political science; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009206397,0.0001207859,0.0001601554,0.00004069729,0.0008215813,0.000100291,0.000117362,0.00009258341,0.0001568201],"category_scores_gemma":[0.00006525088,0.00007342152,0.00003145773,0.0002609502,0.00008855094,0.0001158714,0.00008859752,0.0007796923,0.00002907644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000540672,"about_ca_system_score_gemma":0.0001233824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004042838,"about_ca_topic_score_gemma":0.0005755746,"domain_scores_codex":[0.9987071,0.0002775538,0.0002837477,0.0001567496,0.0001929884,0.0003818692],"domain_scores_gemma":[0.9995927,0.0001487487,0.00005870834,0.00007453428,0.00004519022,0.00008014058],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002650264,0.000006357156,0.971425,0.00005900295,0.00002935092,0.00007690204,0.001815338,8.012152e-7,0.00001000645,0.006517013,0.01493545,0.005098255],"study_design_scores_gemma":[0.0005014851,0.0000284146,0.9113911,0.0003405407,0.00002092951,0.0001084409,0.004061768,0.000009211013,1.682809e-7,0.009387963,0.07406516,0.00008475701],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9616916,0.01917444,0.00005381998,0.0160237,0.001049991,0.0001642532,0.00002686738,0.00003078676,0.001784552],"genre_scores_gemma":[0.9940019,0.002480427,0.00004391672,0.001355288,0.0006961277,0.00001091747,8.603124e-7,0.000006914635,0.001403639],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06003386,"threshold_uncertainty_score":0.6319022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02007471030626268,"score_gpt":0.3838893981839136,"score_spread":0.3638146878776509,"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."}}