{"id":"W4412614147","doi":"10.21105/joss.07728","title":"EvoVis: Dashboard for Visualizing Evolutionary Neural Architecture Search Algorithms","year":2025,"lang":"en","type":"article","venue":"The Journal of Open Source Software","topic":"Reinforcement Learning in Robotics","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fonds de Recherche du Québec - Santé; Bayerische Forschungsallianz","keywords":"Computer science; Evolutionary algorithm; Architecture; Dashboard; Artificial intelligence; Machine learning; Data mining; Algorithm; Data science; Geography; Archaeology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.001839724,0.0001781104,0.0003027337,0.0002169624,0.0005681955,0.0005246738,0.004680907,0.00006781303,0.00001348553],"category_scores_gemma":[0.0004147904,0.0001207616,0.0001716535,0.0005376591,0.0000855574,0.0006364379,0.001563381,0.0006175475,0.000006983332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001164919,"about_ca_system_score_gemma":0.0003338198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002012995,"about_ca_topic_score_gemma":7.673946e-7,"domain_scores_codex":[0.9980179,0.0003254939,0.0005234929,0.0001872096,0.0005615355,0.0003843668],"domain_scores_gemma":[0.997493,0.001055584,0.0003484662,0.0005702466,0.0004361284,0.00009654977],"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":[0.0001126124,0.00002782985,0.0009288624,0.0000451915,0.0001175252,0.000006833819,0.002297796,0.9404334,0.00007073829,0.0009058807,0.008728236,0.04632505],"study_design_scores_gemma":[0.002095192,0.0007884441,0.003037922,0.0004852135,0.0001235541,0.0003776755,0.0009823787,0.9188653,0.0003442547,0.003271413,0.06924334,0.0003852736],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002248116,0.0004585466,0.9919112,0.004154223,0.0004798083,0.0004785685,0.000001963375,0.00006333584,0.0002042069],"genre_scores_gemma":[0.3585954,0.00006459389,0.6256632,0.004398117,0.0006112679,0.00002334309,0.000006865418,0.00006881647,0.01056842],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3662481,"threshold_uncertainty_score":0.8698367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03184052293001022,"score_gpt":0.3412038084290155,"score_spread":0.3093632854990053,"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."}}