{"id":"W2766196653","doi":"10.1142/11784","title":"Generalization with Deep Learning","year":2020,"lang":"en","type":"book","venue":"WORLD SCIENTIFIC eBooks","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":182,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Army Research Office; Air Force Office of Scientific Research; Office of Naval Research; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Canadian Institute for Advanced Research; National Science Foundation","keywords":"Generalization; Maxima and minima; Computer science; Deep learning; Artificial intelligence; Deep neural networks; Theoretical computer science; Machine learning; Mathematics","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.000173532,0.0002541382,0.0002350955,0.0002162883,0.0006687706,0.001041616,0.001092582,0.00007032825,0.00003346563],"category_scores_gemma":[0.000002453889,0.0002177144,0.00008315213,0.0003799169,0.0001874195,0.000114287,0.000293375,0.0004587343,0.000245391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006992991,"about_ca_system_score_gemma":0.0002225211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":8.273539e-7,"about_ca_topic_score_gemma":0.0003659879,"domain_scores_codex":[0.9979351,0.00004339265,0.0002498057,0.0009455397,0.0005186659,0.0003075382],"domain_scores_gemma":[0.9986997,0.00004211056,0.0002340945,0.0007222002,0.0001257908,0.0001760627],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003643139,0.00001262149,0.00001130946,0.00004133598,0.00003207378,0.00003705927,0.0005581318,0.002963986,0.0003293573,0.6060191,0.3451569,0.0448345],"study_design_scores_gemma":[0.00008239292,0.00002232503,0.000003717051,0.00006198381,0.00001501879,0.000005398415,0.000001383963,0.03620979,0.0001340815,0.00535786,0.9578256,0.0002804231],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000007757424,0.0001327921,0.2289095,0.0004220893,0.0005373486,0.0003312364,0.000002305228,0.00040435,0.7692526],"genre_scores_gemma":[0.001109915,8.820646e-7,0.008788117,0.0003637883,0.0003164317,0.00004261261,0.00008521877,0.0000342562,0.9892588],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6126688,"threshold_uncertainty_score":0.9999954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01527863187937388,"score_gpt":0.2106973804975417,"score_spread":0.1954187486181678,"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."}}