{"id":"W3158883180","doi":"","title":"Frequency-Domain Analysis of the Energy Budget in an Idealized, Coupled, Ocean-Atmosphere Model","year":2019,"lang":"en","type":"article","venue":"AGU Fall Meeting Abstracts","topic":"Climate variability and models","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Atmosphere (unit); Energy budget; Meteorology; Environmental science; Domain (mathematical analysis); Energy (signal processing); Atmospheric sciences; Climatology; Geology; Physics; Mathematics; Thermodynamics","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":[0.00114217,0.0001852153,0.0003528417,0.00002709823,0.00008336824,0.00002715358,0.0005334276,0.0001411504,0.0001195008],"category_scores_gemma":[0.0001118019,0.0001470367,0.000163606,0.0006783126,0.0001243797,0.0002379882,0.0001817308,0.0001980891,0.00002666664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001548728,"about_ca_system_score_gemma":0.00003180386,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.07496247,"about_ca_topic_score_gemma":0.1038292,"domain_scores_codex":[0.9980171,0.0001440521,0.000559837,0.0004743375,0.0004310783,0.0003736038],"domain_scores_gemma":[0.9986724,0.0002093214,0.0002698644,0.0007301948,0.00001760011,0.0001005945],"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":[0.000008441977,0.0000858705,0.4069675,0.000006533777,0.00002269534,0.000001316508,0.0005374062,0.5839812,0.008073829,0.0002803622,0.00001200372,0.00002280392],"study_design_scores_gemma":[0.0003857421,0.00002747953,0.2717112,0.00003988089,0.0001135751,9.332094e-7,0.0002506608,0.7189543,0.0003014966,0.007956449,0.0000292682,0.0002289912],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9841123,0.00002180772,0.00007123852,0.0001088944,0.00006209295,0.0001547128,0.00001900909,0.00002798523,0.015422],"genre_scores_gemma":[0.9968892,0.00001474829,0.002677212,0.0002586886,0.000008121498,0.000005137482,0.00001804436,0.00001745417,0.0001114486],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1352563,"threshold_uncertainty_score":0.9311974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01226464445983708,"score_gpt":0.232305990500631,"score_spread":0.2200413460407939,"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."}}