{"id":"W4318773910","doi":"10.1016/j.cie.2023.109066","title":"Infectious waste management during a pandemic: A stochastic location-routing problem with chance-constrained time windows","year":2023,"lang":"en","type":"article","venue":"Computers & Industrial Engineering","topic":"Healthcare and Environmental Waste Management","field":"Medicine","cited_by":42,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Natural Science Foundation of Guangdong Province; National Natural Science Foundation of China","keywords":"Mathematical optimization; Pandemic; Computer science; Integer programming; Operations research; Linear programming; Service (business); Budget constraint; Constraint (computer-aided design); Routing (electronic design automation); Coronavirus disease 2019 (COVID-19); Engineering; Mathematics; Business; Economics; Computer network; Medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.004747824,0.002681001,0.0050946,0.002191372,0.001628241,0.004160861,0.004319178,0.007525571,0.003820507],"category_scores_gemma":[0.01012709,0.003569117,0.002879946,0.002419182,0.00268294,0.004022216,0.003160286,0.002820828,0.0003380014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003143287,"about_ca_system_score_gemma":0.002967338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02241188,"about_ca_topic_score_gemma":0.01152555,"domain_scores_codex":[0.9970179,0.001110036,0.0001737263,0.0007211374,0.0002517244,0.0007254762],"domain_scores_gemma":[0.9906378,0.006649922,0.001184165,0.0001724813,0.000445684,0.0009100173],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001351734,0.00004496461,0.0005511147,0.00006872624,0.00007140213,0.0002085227,0.00003272802,0.9935088,0.0002687943,0.003260239,0.000448269,0.001401274],"study_design_scores_gemma":[0.0000387117,0.00007089653,0.0002534836,0.0000117008,0.00003768692,0.00004534523,0.0000462507,0.9965061,0.0001061863,0.002707756,0.0001562854,0.00001962996],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4041849,0.003372129,0.5730761,0.00676709,0.0007456602,0.0006277739,0.002333238,0.0005571651,0.008335948],"genre_scores_gemma":[0.9616503,0.0008114828,0.02932623,0.0002606697,0.0002828369,0.0002351557,0.0005502295,0.00009953605,0.006783682],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02241188,"threshold_uncertainty_score":0.04456288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02054101146880207,"score_gpt":0.2230850960703179,"score_spread":0.2025440846015159,"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."}}