{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00319248,0.0009163953,0.0012122,0.0007897504,0.0004900713,0.001546557,0.001642236,0.001676458,0.002162863],"category_scores_gemma":[0.00857766,0.000725652,0.0008985923,0.0007888223,0.002141546,0.002830112,0.003026055,0.003351526,0.0008965531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001615677,"about_ca_system_score_gemma":0.002028086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003262493,"about_ca_topic_score_gemma":0.003194239,"domain_scores_codex":[0.9991956,0.000326974,0.00003895176,0.000150351,0.0002232727,0.00006486152],"domain_scores_gemma":[0.998398,0.0009209183,0.0001187607,0.0002655314,0.0001960604,0.0001007578],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00009119706,0.00004318333,0.0007582406,0.0000967836,0.00006454185,0.00009763566,0.000146101,0.6920185,0.001651093,0.2341216,0.003101027,0.06781013],"study_design_scores_gemma":[0.000007218457,0.00001585509,0.00003793852,0.00001311957,0.000004321393,0.0000112344,0.000003940554,0.9279568,0.0003376305,0.07037871,0.001228261,0.000005042363],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004998281,0.0004304218,0.9922408,0.000352866,0.00003486645,0.00001706469,0.00003580855,0.0004395818,0.001450268],"genre_scores_gemma":[0.4976729,0.001525116,0.4901914,0.0006053282,0.0002157638,0.0002884929,0.0003427839,0.0004040738,0.00875402],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003262493,"threshold_uncertainty_score":0.01688367,"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."}}