{"id":"W4392678013","doi":"10.48550/arxiv.2403.04840","title":"Atmospheric Waves Driving Variability and Cloud Modulation on a Planetary-Mass Object","year":2024,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Air Force Institute of Technology; Institut national des sciences de l'Univers; Centre National de la Recherche Scientifique; Science Mission Directorate; Ohio State University; National Aeronautics and Space Administration; U.S. Department of Defense; U.S. Air Force Academy; National Science Foundation","keywords":"Cloud computing; Object (grammar); Environmental science; Modulation (music); Atmospheric sciences; Meteorology; Physics; Computer science; Acoustics; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001431082,0.0001736936,0.0001166661,0.0004882077,0.0002151846,0.0003355831,0.0002472968,0.0002608233,0.0008882449],"category_scores_gemma":[0.0005182057,0.0001562729,0.0002789065,0.0004667026,0.0001911153,0.0002211269,0.0002836388,0.0002255395,0.0001415375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004243637,"about_ca_system_score_gemma":0.0001743479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01164571,"about_ca_topic_score_gemma":0.01534242,"domain_scores_codex":[0.9999501,0.000004828536,0.000002563995,0.00001947493,0.0000114958,0.0000116108],"domain_scores_gemma":[0.9998178,0.00004221335,0.00004955246,0.0000161136,0.00002223499,0.00005198573],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001972162,0.00007998016,0.9342661,0.00002980289,0.00006612174,0.0002146953,0.0001876959,0.01091104,0.04352424,0.0006917789,0.000841766,0.008989615],"study_design_scores_gemma":[0.000004270571,0.00001090159,0.9879841,0.000001636741,0.000007231922,0.00003619005,0.00002848771,0.01098203,0.0007516063,0.00006397429,0.0001263575,0.000003207292],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988959,0.00001457424,0.0002218503,0.00001520791,0.000001771761,0.000003198155,0.0002473205,0.00002681498,0.0005733414],"genre_scores_gemma":[0.9993549,0.00001008398,0.0002072359,0.000005966614,0.000002754324,0.000002547883,0.0003310316,0.000007157506,0.00007843247],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01164571,"threshold_uncertainty_score":0.02315581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01951072066159219,"score_gpt":0.1637931166759335,"score_spread":0.1442823960143413,"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."}}