{"id":"W2999860400","doi":"10.1155/2020/4079617","title":"Fleet Scheduling Optimization of Hazardous Materials Transportation: A Literature Review","year":2020,"lang":"en","type":"review","venue":"Journal of Advanced Transportation","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Science Foundation of Zhejiang Province; Fundamental Research Funds for the Central Universities; Natural Science Foundation of Ningbo; Lanzhou Jiaotong University; Natural Science Foundation of Ningbo Municipality; Ministry of Education of the People's Republic of China; National Natural Science Foundation of China","keywords":"Hazardous waste; Scheduling (production processes); Operations research; Computer science; Emergency response; Job shop scheduling; Transport engineering; Engineering; Waste management; Operations management","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002015318,0.0004715942,0.004260007,0.0007001036,0.00007921337,0.0001017602,0.0008014383,0.0003112296,0.0003094869],"category_scores_gemma":[0.0006732367,0.0003289752,0.001812233,0.003132116,0.00005601319,0.001134662,0.000002701288,0.0005145364,0.00001127466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005780458,"about_ca_system_score_gemma":0.0004474471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001112198,"about_ca_topic_score_gemma":0.00001010091,"domain_scores_codex":[0.9908899,0.0004304435,0.006066885,0.0004763539,0.00193585,0.0002005633],"domain_scores_gemma":[0.9888483,0.0004766595,0.008100371,0.0004157818,0.001972865,0.0001860432],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000118337,0.00005719058,0.000002782702,0.01925737,0.0003281273,0.0002182869,0.0008028014,0.1277456,0.00001693398,0.0001094651,0.0001508088,0.8511922],"study_design_scores_gemma":[0.0007954571,0.0003081109,0.00007940996,0.1606887,0.006560314,0.00008631366,0.000246774,0.00005065055,0.00004784826,0.001017329,0.8295301,0.00058898],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00002182629,0.9644067,0.03354177,0.0004104118,0.0005777145,0.0005007291,0.0005120576,0.0000130582,0.00001576542],"genre_scores_gemma":[0.00006472836,0.9567794,0.04195909,0.00007398236,0.0002433961,0.00001250222,0.0007903449,0.00004321738,0.00003337368],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8506033,"threshold_uncertainty_score":0.9999163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04947698780500069,"score_gpt":0.3826698894104238,"score_spread":0.3331929016054231,"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."}}