{"id":"W7009855082","doi":"","title":"Fast-Food Frontline: COVID-19 and Working Conditions in Los Angeles&amp;nbsp;","year":2022,"lang":"en","type":"article","venue":"eScholarship (California Digital Library)","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Work (physics); Occupational safety and health; Wage; Public sector; Public health","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":[0.0004571159,0.0002366122,0.0001215464,0.0008621476,0.002102071,0.001431144,0.0006983515,0.0007490392,0.1062525],"category_scores_gemma":[0.002302679,0.0002667379,0.0001196059,0.001189129,0.0004597832,0.001448297,0.001396018,0.00100013,0.01251773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0018329,"about_ca_system_score_gemma":0.003580321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1963749,"about_ca_topic_score_gemma":0.2895032,"domain_scores_codex":[0.9996213,0.00008666127,0.00002480501,0.0000435702,0.0001402039,0.00008338402],"domain_scores_gemma":[0.9980441,0.0002903071,0.0003109166,0.00007502013,0.0007415542,0.0005380889],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00001952427,0.000060129,0.04748894,0.0001703194,0.00000429972,0.0002408822,0.002463697,0.00003145118,0.0001094705,0.0004494755,0.9034427,0.04551909],"study_design_scores_gemma":[0.00001028845,0.00004592067,0.3950492,0.0005331028,0.000006487768,0.0001714083,0.01792486,0.000100458,0.0001406652,0.0001742514,0.5858185,0.00002481609],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2170742,0.01094739,0.0005518584,0.132463,0.003289203,0.0004497776,0.0758613,0.0007634363,0.5585998],"genre_scores_gemma":[0.3885182,0.01413607,0.00129698,0.009677451,0.001024231,0.0007414622,0.01875644,0.0003845241,0.5654647],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1963749,"threshold_uncertainty_score":0.3904638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04893080110905994,"score_gpt":0.2473730554358751,"score_spread":0.1984422543268151,"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."}}