{"id":"W4395666852","doi":"10.18280/mmep.110427","title":"Comparison of Crow Search and Practice Swarm Algorithm for Minimization of Losses in Unbalanced Radial Distribution System","year":2024,"lang":"en","type":"article","venue":"Mathematical Modelling and Engineering Problems","topic":"Vehicle License Plate Recognition","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Minification; Algorithm; Swarm behaviour; Computer science; Distribution (mathematics); Mathematical optimization; Mathematics; Mathematical analysis","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":[],"consensus_categories":[],"category_scores_codex":[0.000324195,0.0001017274,0.0002537616,0.00008374287,0.00001245275,0.00003376606,0.00002843904,0.00008343325,4.124762e-7],"category_scores_gemma":[0.00004253211,0.0001022755,0.0000218237,0.0001435745,0.00001816933,0.0001228318,0.000009422638,0.0001053309,5.298822e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003619803,"about_ca_system_score_gemma":0.000006268822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005526173,"about_ca_topic_score_gemma":1.800799e-7,"domain_scores_codex":[0.9992739,0.00001148159,0.0003502612,0.0001181347,0.0001053417,0.0001408713],"domain_scores_gemma":[0.9994045,0.0004392856,0.0000195439,0.00005291577,0.00004658899,0.00003711255],"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":[0.000006678791,0.00002468163,0.000003794792,0.009532903,0.00002865714,6.720803e-7,0.0008930696,0.9801731,0.001206158,0.002223129,0.00000243548,0.005904774],"study_design_scores_gemma":[0.0001963974,0.00003537487,0.000005056055,0.001494555,0.00003653917,0.00001724712,0.0001409619,0.9935172,0.004155206,0.0002833371,0.00002390192,0.00009418224],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1346741,0.0009189014,0.8639274,0.00001594273,0.00005220634,0.0002346202,0.00003507888,0.0001145931,0.00002719195],"genre_scores_gemma":[0.9251688,0.0001064228,0.07462029,2.370531e-7,0.00002123248,0.00002872976,0.00002996161,0.00002270487,0.000001596668],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7904947,"threshold_uncertainty_score":0.4170675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03460584446125124,"score_gpt":0.2744600752644131,"score_spread":0.2398542308031618,"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."}}