{"id":"W4386989678","doi":"10.2139/ssrn.4581245","title":"The Pollution-Routing Problem with Speed Optimization and Uneven Topography","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Vehicle Routing Optimization Methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Routing (electronic design automation); Pollution; Computer science; Environmental science; Mathematical optimization; Computer network; Mathematics; Ecology","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":"codex-gemma-dda1882f352a","candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.003090102,0.0003213045,0.0002799325,0.0002218945,0.0005521525,0.0003752535,0.0003394356,0.000218272,0.000003453081],"category_scores_gemma":[0.00007731808,0.0002424806,0.00009884532,0.0004594098,0.00007692833,0.0001153847,0.0001458972,0.003463518,0.000002342396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006141088,"about_ca_system_score_gemma":0.0007348806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003780755,"about_ca_topic_score_gemma":0.0002127599,"domain_scores_codex":[0.9970537,0.0001860442,0.0004597172,0.0002848529,0.0003227088,0.001692928],"domain_scores_gemma":[0.9991288,0.0001251339,0.0002413128,0.0002778856,0.0001390821,0.00008782206],"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":[0.00001156441,0.000004395338,0.0005778749,0.00002903357,0.0003328298,0.000001525231,0.0001612617,0.9877325,0.00001359626,0.005952955,0.00003459731,0.005147852],"study_design_scores_gemma":[0.0005932866,0.000101879,0.000422249,0.0002646442,0.0001576986,0.0002731152,0.00107374,0.9434143,0.00003011251,0.05290998,0.0002295558,0.0005294528],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008742192,0.003060809,0.9847787,0.001300404,0.000494149,0.0004855701,0.000006287632,0.0006195345,0.0005123708],"genre_scores_gemma":[0.8009596,0.04634842,0.1493293,0.00005179636,0.001065162,0.00004708171,0.00005418375,0.0004785025,0.001665941],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8354493,"threshold_uncertainty_score":0.9988355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01099331575568888,"score_gpt":0.2400125813362227,"score_spread":0.2290192655805338,"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."}}