{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007083599,0.0005484853,0.0007935468,0.000904255,0.0006944127,0.001352656,0.001308337,0.002013764,0.01716704],"category_scores_gemma":[0.004397962,0.0006132526,0.0009728274,0.0007804359,0.001183306,0.001520631,0.001841392,0.001710083,0.002480135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008187005,"about_ca_system_score_gemma":0.0008454947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001645743,"about_ca_topic_score_gemma":0.00390641,"domain_scores_codex":[0.9996563,0.0001349975,0.00001022265,0.0000831779,0.00007134178,0.0000438522],"domain_scores_gemma":[0.9989743,0.000588119,0.00003752539,0.0002475545,0.0001009705,0.00005146541],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001323198,0.0000928203,0.001945167,0.0001432368,0.0001274093,0.0002924426,0.000163093,0.3598014,0.002879646,0.4166718,0.01669636,0.2010545],"study_design_scores_gemma":[0.00003075214,0.00002476567,0.0002295993,0.00002086103,0.00002544536,0.00008735334,0.00002695312,0.8383236,0.0006877789,0.1575602,0.002973152,0.000009668161],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06134115,0.001062829,0.8636228,0.002252454,0.0003012198,0.0001391738,0.0003061557,0.00209419,0.06887994],"genre_scores_gemma":[0.7627344,0.0004346424,0.1946854,0.0007714988,0.0001965058,0.0001864054,0.0006180207,0.0005969947,0.03977612],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01716704,"threshold_uncertainty_score":0.05742943,"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."}}