{"id":"W4405467872","doi":"10.3934/fods.2024053","title":"Deep learning with Gaussian continuation","year":2024,"lang":"en","type":"article","venue":"Foundations of Data Science","topic":"Gaussian Processes and Bayesian Inference","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Continuation; Artificial intelligence; Gaussian; Deep learning; Computer science; Psychology; Physics","routes":{"ca_aff":true,"ca_fund":false,"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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0006481254,0.00008324618,0.00008452665,0.0002606801,0.0003139747,0.001037093,0.002683087,0.00001795908,0.00003942229],"category_scores_gemma":[0.0001556853,0.000063659,0.00001141891,0.002378867,0.0004113598,0.008400902,0.0005413155,0.0001184228,0.00008237854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002666115,"about_ca_system_score_gemma":0.0006019733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002604396,"about_ca_topic_score_gemma":0.00003361671,"domain_scores_codex":[0.9985371,0.00001732125,0.0001847078,0.000575302,0.0004745235,0.0002110263],"domain_scores_gemma":[0.9986544,0.0000787451,0.00007675886,0.0009413451,0.0001792472,0.00006947423],"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":[0.000001576,0.00002768808,0.0004888747,0.00005042251,0.000008069388,0.000005840654,0.0006223783,0.000185614,0.001468811,0.7368593,0.0001071741,0.2601743],"study_design_scores_gemma":[0.0001123433,0.0001513732,0.00619061,0.0001896915,0.00001401299,0.00004854551,0.0001360463,0.9701135,0.001167258,0.007391488,0.01426191,0.0002232253],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001292168,0.0001143756,0.9902937,0.001087193,0.0001528913,0.00007915364,0.000006065964,0.0001372081,0.006837235],"genre_scores_gemma":[0.829365,0.0000196727,0.1704186,0.00001847304,0.00002175423,0.000004346341,0.0000307193,0.000003673077,0.0001177611],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9699279,"threshold_uncertainty_score":0.9999999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03058443628319491,"score_gpt":0.3090793699756104,"score_spread":0.2784949336924155,"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."}}