{"id":"W4200157394","doi":"10.1145/3478513.3480532","title":"Weatherscapes","year":2021,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"King Abdullah University of Science and Technology","keywords":"Graupel; Environmental science; Meteorology; Snow; Precipitation; Atmosphere (unit); Numerical weather prediction; Ice crystals; Computer science; Geography","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":[0.00008029125,0.00007801444,0.00008768727,0.00006483824,0.0002540259,0.00003137617,0.0001385443,0.00006178236,0.01066998],"category_scores_gemma":[0.00003610874,0.00006378211,0.00009242307,0.0004112891,0.00004921284,0.00008014186,6.42108e-7,0.0001629633,0.0002630746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001187942,"about_ca_system_score_gemma":0.0000230019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004471385,"about_ca_topic_score_gemma":0.0007110887,"domain_scores_codex":[0.9993442,0.00006158471,0.0001128616,0.0001798109,0.0001470389,0.0001544746],"domain_scores_gemma":[0.9992372,0.0003170223,0.00001662797,0.0003029871,0.00003741137,0.00008878524],"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":[0.000161822,0.0006586083,0.1393477,0.00003848727,0.0003576504,0.0001566377,0.0008784795,0.2277637,0.0004670738,0.0122162,0.0007448745,0.6172088],"study_design_scores_gemma":[0.001028769,0.0005382512,0.6356351,0.00002117302,0.0001334192,0.00004190828,0.0005384642,0.01792529,0.001146277,0.2750787,0.06720982,0.0007027329],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8531069,0.0009538759,0.08966837,0.006990994,0.001010658,0.0002126985,0.0002556481,0.0002934329,0.04750738],"genre_scores_gemma":[0.995581,0.0001587958,0.002410298,0.001337375,0.00002437332,9.625369e-7,0.00003131383,0.000002083624,0.0004538473],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.616506,"threshold_uncertainty_score":0.9902344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03308663473215299,"score_gpt":0.2360291119100961,"score_spread":0.2029424771779431,"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."}}