{"id":"W2227833737","doi":"10.2495/air030041","title":"Fuzzy Logic Modelling Of Air Pollution During Chinook Winds","year":2003,"lang":"en","type":"article","venue":"WIT Transactions on Ecology and the Environment","topic":"Air Quality Monitoring and Forecasting","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wind speed; Chinook wind; Environmental science; Meteorology; Snow; Humidity; Air pollution; Pollution; Climatology; Wind direction; Atmospheric sciences; Geography; Geology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003627174,0.000105934,0.0001328022,0.00002387672,0.0004116444,0.000002916642,0.00006658606,0.00007606627,0.0003097201],"category_scores_gemma":[0.000004237962,0.00007860248,0.00005596583,0.00004829545,0.000472357,0.000056677,0.000006414135,0.0001773015,0.00005466021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008848034,"about_ca_system_score_gemma":0.000002532363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002869243,"about_ca_topic_score_gemma":0.00000478351,"domain_scores_codex":[0.999181,0.0001438822,0.0001835602,0.0001967045,0.0001147181,0.0001801542],"domain_scores_gemma":[0.999665,0.0000626852,0.00006787922,0.0001619345,8.061992e-7,0.00004165689],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00006416736,0.0001323087,0.002437229,0.000005294951,0.00002549415,9.218019e-7,0.0005685898,0.9939066,0.0003451424,0.001333782,0.000001042194,0.001179451],"study_design_scores_gemma":[0.01855586,0.002200625,0.7094473,0.0001332248,0.000832006,0.0002931065,0.004134653,0.06957657,0.07140601,0.1169819,0.004284044,0.00215471],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.910957,0.00004442551,0.08505297,0.0004432797,0.0001124475,0.0001648167,0.000003049708,0.00001677533,0.003205273],"genre_scores_gemma":[0.9982058,0.0001049688,0.0008618863,0.00008130891,0.000009390688,0.00002149474,4.405051e-7,0.000007318971,0.0007073706],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.92433,"threshold_uncertainty_score":0.3391218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01664927495930578,"score_gpt":0.1979648752551059,"score_spread":0.1813156002958001,"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."}}