{"id":"W4396690972","doi":"10.1016/j.physd.2024.134196","title":"Hydrodynamic stability in the presence of a stochastic forcing: A case study in convection","year":2024,"lang":"en","type":"article","venue":"Physica D Nonlinear Phenomena","topic":"Fluid Dynamics and Turbulent Flows","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"Simons Foundation; National Science Foundation","keywords":"Forcing (mathematics); Stability (learning theory); Convection; Environmental science; Mechanics; Mathematics; Climatology; Atmospheric sciences; Meteorology; Geology; Physics; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.0003163506,0.0001352617,0.0001873856,0.0001201197,0.00001895198,0.00002934858,0.0001346898,0.0000216483,0.000008081514],"category_scores_gemma":[0.00001736154,0.000107804,0.00004615526,0.0005514816,0.00003147522,0.0001111582,0.00003178499,0.0002492571,0.000005722149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007785051,"about_ca_system_score_gemma":0.00002241823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004708642,"about_ca_topic_score_gemma":0.0009868888,"domain_scores_codex":[0.999122,0.00005815137,0.0002682271,0.0002126847,0.0001491292,0.0001898329],"domain_scores_gemma":[0.9994573,0.0002076153,0.00001533411,0.000283494,0.00001430695,0.00002194816],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003000268,0.001267841,0.0008474986,0.0005131691,0.00007306379,0.0004603477,0.03658628,0.9530166,0.002179691,0.0004569289,0.00001128991,0.004557239],"study_design_scores_gemma":[0.0002747689,0.0000955862,0.0004124102,0.0000400874,0.00001400264,0.00002088673,0.001914143,0.9968005,0.00001287757,0.0003019666,0.0000100368,0.0001027711],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976586,0.0001634298,0.0009403097,0.00002580954,0.0001620405,0.0006518142,0.00002341339,0.00006866678,0.0003059506],"genre_scores_gemma":[0.9997303,0.000003367051,0.0000468924,0.000003305416,0.0001026803,0.00007969188,0.000005943497,0.00002288036,0.000004929838],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04378381,"threshold_uncertainty_score":0.4396119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01466960628875472,"score_gpt":0.242960287442824,"score_spread":0.2282906811540693,"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."}}