{"id":"W4214945819","doi":"10.1007/s11356-022-19487-2","title":"Hospital waste generation during the first wave of COVID-19 pandemic: a case study in Delhi","year":2022,"lang":"en","type":"article","venue":"Environmental Science and Pollution Research","topic":"Healthcare and Environmental Waste Management","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Regina","funders":"","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Ecotoxicology; New delhi; Virology; Environmental science; Environmental health; Medicine; Biology; Toxicology; Outbreak; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003837082,0.0004384144,0.0003830777,0.001048734,0.003899302,0.002106792,0.001654779,0.002775255,0.003507258],"category_scores_gemma":[0.0008892238,0.000429063,0.0006994525,0.001638305,0.001493201,0.0007863764,0.002285734,0.001496601,0.0004045727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003059642,"about_ca_system_score_gemma":0.002707339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04406302,"about_ca_topic_score_gemma":0.09324098,"domain_scores_codex":[0.9993678,0.0001572956,0.00003622107,0.00005425907,0.00007037185,0.0003140054],"domain_scores_gemma":[0.9992558,0.0002038312,0.000153455,0.00004370745,0.00007662296,0.0002665416],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"case_report","study_design_gemma":"observational","study_design_scores_codex":[0.00056042,0.001130823,0.3699566,0.0005246826,0.0002158274,0.5213465,0.07309541,0.002923795,0.003718199,0.003562123,0.005144536,0.01782107],"study_design_scores_gemma":[0.00004030075,0.0008077094,0.2276944,0.000364693,0.0001657022,0.09477021,0.6531934,0.002229451,0.00203001,0.001690884,0.01688245,0.0001308146],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957209,0.0001738339,0.0001775826,0.0008413838,0.00002001433,0.00003431844,0.0001501546,0.000007740726,0.002874074],"genre_scores_gemma":[0.9976478,0.0004363676,0.0002004994,0.0001723705,0.00002103137,0.00001067162,0.0000947607,0.000007411325,0.001408922],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04406302,"threshold_uncertainty_score":0.08761311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1292987804219809,"score_gpt":0.3873797666091995,"score_spread":0.2580809861872186,"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."}}