{"id":"W4393302837","doi":"10.1155/2024/8753106","title":"Modification of the Clarke and Wright Algorithm with a Dynamic Savings Matrix","year":2024,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Vehicle Routing Optimization Methods","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agentúra na Podporu Výskumu a Vývoja","keywords":"Wright; Algorithm; Matrix (chemical analysis); Computer science; Mathematics; Materials science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001252831,0.001119599,0.001044438,0.001541297,0.0007741038,0.001285025,0.002479426,0.001261215,0.007875082],"category_scores_gemma":[0.003600642,0.0007373155,0.001185145,0.001581454,0.000693825,0.001859219,0.002059377,0.001400603,0.002409528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001015928,"about_ca_system_score_gemma":0.002805276,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007982306,"about_ca_topic_score_gemma":0.007745482,"domain_scores_codex":[0.9987444,0.0003191145,0.00009834045,0.0002491324,0.0004245306,0.0001644052],"domain_scores_gemma":[0.9988427,0.0003237074,0.00007577106,0.0002209542,0.0004658987,0.00007089957],"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":[0.0002316159,0.00013219,0.0009730859,0.0001540165,0.00008689619,0.0002797742,0.0001507479,0.4649933,0.006033132,0.06106944,0.01097535,0.4549205],"study_design_scores_gemma":[0.00007547288,0.00007980615,0.0001524588,0.00001708742,0.00002342788,0.000167377,0.00003446104,0.968113,0.00257593,0.0165818,0.01215051,0.00002857364],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005068981,0.0001107087,0.9904908,0.0001321437,0.0000989301,0.000113913,0.00006756698,0.0005487713,0.003368212],"genre_scores_gemma":[0.07654995,0.000174891,0.9154688,0.0001091109,0.00005808493,0.000240642,0.000308976,0.000267574,0.006822076],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007982306,"threshold_uncertainty_score":0.02634478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005119081544223749,"score_gpt":0.2566071344702158,"score_spread":0.251488052925992,"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."}}