{"id":"W3100097287","doi":"10.1145/3414685.3417801","title":"Stormscapes","year":2020,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"King Abdullah University of Science and Technology","keywords":"Cloud computing; Thunderstorm; Computer science; Buoyancy; Atmosphere (unit); Cloud physics; Meteorology; Set (abstract data type); Atmospheric model; Environmental science; Physics; Mechanics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0000582099,0.00008300796,0.0000913648,0.00005167744,0.0002179883,0.00002306201,0.0002097147,0.0000538001,0.005727831],"category_scores_gemma":[0.00003917747,0.00006403927,0.00007662529,0.0003731571,0.00005134064,0.00009898546,6.217833e-7,0.0001879645,0.0004192608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":8.252109e-7,"about_ca_system_score_gemma":0.00001058307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004532412,"about_ca_topic_score_gemma":0.000158875,"domain_scores_codex":[0.9993751,0.00003745829,0.0001173871,0.0001722107,0.0001531762,0.0001446765],"domain_scores_gemma":[0.9994022,0.0002162441,0.00002043422,0.0001726261,0.0000172372,0.0001712871],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004407556,0.0002481453,0.1271678,0.00005209878,0.0002282225,0.0000329415,0.002042658,0.4199428,0.000202671,0.005131552,0.001640304,0.44287],"study_design_scores_gemma":[0.001481561,0.00253435,0.6801471,0.00001307634,0.0001448544,0.000007205548,0.0004517525,0.1247258,0.0002991388,0.08307678,0.1061271,0.0009912238],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7729072,0.0003780146,0.1786502,0.02727745,0.0005847685,0.0004291511,0.0003233428,0.0005483676,0.01890159],"genre_scores_gemma":[0.9935663,0.00005706745,0.00142839,0.004850181,0.00004076718,8.914841e-7,0.00001734963,0.000002153521,0.00003689934],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5529793,"threshold_uncertainty_score":0.9951811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04985914824638988,"score_gpt":0.2320495264089311,"score_spread":0.1821903781625413,"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."}}