{"id":"W1970190945","doi":"10.5539/cis.v3n1p20","title":"Simulation Evaluation Algorithms of LSRP and DVRP in Bank Network","year":2010,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Advanced Computational Techniques and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Usability; Simple (philosophy); Computation; Entropy (arrow of time); Algorithm; SIMPLE algorithm","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":[0.003117871,0.0007057764,0.0006544009,0.001184368,0.000571785,0.000908436,0.001070891,0.0006842672,0.001768635],"category_scores_gemma":[0.01225786,0.0003426152,0.0005571824,0.000885953,0.0006750398,0.00165162,0.00110041,0.0007363166,0.0001859733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001657449,"about_ca_system_score_gemma":0.001284846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007996251,"about_ca_topic_score_gemma":0.003368266,"domain_scores_codex":[0.9976528,0.001152555,0.0001608646,0.0002636755,0.0005786149,0.0001914378],"domain_scores_gemma":[0.9942068,0.003466551,0.0004419794,0.0005392829,0.001210677,0.000134698],"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":[0.0001120666,0.00003480528,0.00268373,0.00005953779,0.00002381985,0.00004416859,0.00008845837,0.9603432,0.001302511,0.009229374,0.0004331845,0.02564502],"study_design_scores_gemma":[0.00001143212,0.00003400436,0.0002308231,0.000003311794,0.000005751664,0.00001583652,0.00001299755,0.9973416,0.0008018271,0.001402226,0.0001349423,0.000005415668],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07951125,0.000136509,0.9159956,0.000164266,0.00003179719,0.0001571421,0.0000813309,0.0008131108,0.003108954],"genre_scores_gemma":[0.8194478,0.0001736214,0.1786198,0.00003939807,0.000009854903,0.0003874656,0.0001807213,0.00007017989,0.001071243],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007996251,"threshold_uncertainty_score":0.01648909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01722050456207437,"score_gpt":0.3228486319308025,"score_spread":0.3056281273687282,"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."}}