{"id":"W4410319941","doi":"10.1016/j.neucom.2025.130360","title":"Generative neural architecture search","year":2025,"lang":"en","type":"article","venue":"Neurocomputing","topic":"Machine Learning and Data Classification","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Bishop's University","funders":"Natural Science Foundation of Shandong Province; Fonds Québécois de la Recherche sur la Nature et les Technologies; National Natural Science Foundation of China; McGill University","keywords":"Computer science; Architecture; Artificial intelligence; Generative grammar; Generative model; Artificial neural network; Machine learning; Pattern recognition (psychology)","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0002044345,0.0001001855,0.00009346232,0.0001426207,0.000262968,0.0002203566,0.0006901089,0.00003118937,0.000002671234],"category_scores_gemma":[0.00007549146,0.00009067907,0.00003717261,0.0005261454,0.00001725363,0.0001123765,0.0004021867,0.0003630105,0.00002125829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001445662,"about_ca_system_score_gemma":0.00004636338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001569345,"about_ca_topic_score_gemma":0.000001812411,"domain_scores_codex":[0.9988723,0.0001971661,0.0001471041,0.0004070262,0.0001516922,0.0002247162],"domain_scores_gemma":[0.9992712,0.000173226,0.00003885435,0.0004288419,0.00004533298,0.00004253806],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003946214,0.00003290839,0.00421112,0.00002517872,0.000008687567,0.00001300168,0.0006882701,0.02802177,0.006036195,0.1224185,0.001268137,0.8372723],"study_design_scores_gemma":[0.000160898,0.00002782417,0.02741484,0.00001404422,0.000001963293,0.00001164088,0.00001144857,0.9577144,0.001068129,0.0008574266,0.01261886,0.0000985329],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04530752,0.00004634168,0.938202,0.008344161,0.0003132643,0.000103633,5.140294e-7,0.0003178653,0.007364673],"genre_scores_gemma":[0.949901,0.000001379805,0.04758175,0.001935615,0.0001059251,0.000003496505,0.000005088448,0.000005057906,0.0004606827],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9296926,"threshold_uncertainty_score":0.3697785,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01547987138247778,"score_gpt":0.2867572701931679,"score_spread":0.2712773988106901,"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."}}