{"id":"W4381332907","doi":"10.5194/egusphere-2023-1071-ac1","title":"Reply on CC1","year":2023,"lang":"en","type":"peer-review","venue":"","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Monash University; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Fortran; Code (set theory); Large eddy simulation; Turbulence; Computer science; Class (philosophy); Computational science; Direct numerical simulation; Boundary (topology); Programming language; Mechanics; Physics; Mathematics; Artificial intelligence; Mathematical analysis","routes":{"ca_aff":true,"ca_fund":true,"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":[0.004920892,0.0009034119,0.0010285,0.001337638,0.003680344,0.004155259,0.003013378,0.03100678,0.08504835],"category_scores_gemma":[0.04133969,0.0006176917,0.001245271,0.001029247,0.002333356,0.003518859,0.002308803,0.01991818,0.06546165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004558833,"about_ca_system_score_gemma":0.005590182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01305705,"about_ca_topic_score_gemma":0.0153321,"domain_scores_codex":[0.9960952,0.0005698469,0.0004648287,0.0005670285,0.001756912,0.0005460408],"domain_scores_gemma":[0.9814149,0.005377096,0.0006022007,0.0009340927,0.009290364,0.00238149],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000008616444,0.000002882659,0.00003901839,0.00001390489,0.000001310379,0.00003583009,0.00001006973,0.000004412006,0.00002413197,0.0003169498,0.9981844,0.001358399],"study_design_scores_gemma":[0.00001291454,0.000007397948,0.0003343477,0.00005724926,0.000003545842,0.00005572451,0.00005253979,0.0000356214,0.00008874977,0.0005951044,0.9987413,0.00001552701],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0002182737,0.0009660355,0.0002339281,0.8379828,0.1449046,0.00009818353,0.0005338754,0.0003109738,0.01475138],"genre_scores_gemma":[0.00227457,0.000689074,0.0002612391,0.8670115,0.05493969,0.0001776547,0.0002519996,0.0002349111,0.07415935],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.08504835,"threshold_uncertainty_score":0.2845151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09059712143600505,"score_gpt":0.2998971469959068,"score_spread":0.2093000255599017,"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."}}