{"id":"W4319229485","doi":"10.1007/978-3-031-21432-5_183","title":"The Challenges in Waste Management During the Pandemic","year":2023,"lang":"en","type":"book-chapter","venue":"Lecture notes in networks and systems","topic":"Healthcare and Environmental Waste Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Personal protective equipment; Quarter (Canadian coin); Waste management; Business; Environmental planning; Medical emergency; Operations management; Environmental health; Engineering; Environmental science; Medicine; Geography; Infectious disease (medical specialty); Disease","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":[0.003385525,0.0007084646,0.0006243652,0.0009528751,0.003201517,0.009502147,0.001239395,0.006450177,0.008994341],"category_scores_gemma":[0.003922436,0.0004366054,0.0008293628,0.002322004,0.0048659,0.01192949,0.003757075,0.00685355,0.002589544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003274428,"about_ca_system_score_gemma":0.01003941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008151547,"about_ca_topic_score_gemma":0.01529892,"domain_scores_codex":[0.998316,0.0007241355,0.00006865271,0.00009548826,0.0004828516,0.0003129098],"domain_scores_gemma":[0.9983987,0.0008241346,0.00009210625,0.0000755746,0.0003554562,0.0002539929],"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":[0.00005169541,0.0001038817,0.0006845855,0.0006053225,0.00003014607,0.0004230278,0.004169683,0.002915476,0.000624127,0.30192,0.4994577,0.1890144],"study_design_scores_gemma":[0.000005865577,0.00003284962,0.0004083052,0.0007181353,0.000005974817,0.0001645708,0.008319476,0.0006230188,0.0002388634,0.1550294,0.8344291,0.0000243851],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.006126211,0.1324577,0.005603571,0.6351826,0.0176127,0.00005494813,0.0002515336,0.0001132245,0.2025976],"genre_scores_gemma":[0.1775372,0.3825702,0.01369637,0.1023859,0.02792519,0.0002245322,0.0006468937,0.0004971684,0.2945165],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009502147,"threshold_uncertainty_score":0.03008908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04195246271274476,"score_gpt":0.2542926690278343,"score_spread":0.2123402063150895,"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."}}