{"id":"W3195629698","doi":"10.1007/s10546-021-00641-1","title":"Large-Scale Synoptic Systems and Fog During the C-FOG Field Experiment","year":2021,"lang":"en","type":"article","venue":"Boundary-Layer Meteorology","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University; Environment and Climate Change Canada","funders":"Pacific Northwest National Laboratory; Office of Naval Research; Advanced Research Projects Agency - Energy; Battelle; U.S. Department of Energy","keywords":"Radiosonde; Environmental science; Synoptic scale meteorology; Anticyclone; Fog; Climatology; Advection; Precipitation; Atmospheric sciences; Visibility; Meteorology; Geology; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0004565965,0.0001862679,0.0003148439,0.00005124214,0.0007546786,0.0001889416,0.0002069028,0.0001512551,0.00376187],"category_scores_gemma":[0.0001374415,0.0001238072,0.00007445152,0.0001775214,0.00015368,0.0001235552,0.00006484222,0.0002517331,0.0001366109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007516105,"about_ca_system_score_gemma":0.00006233258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002367068,"about_ca_topic_score_gemma":0.0007818282,"domain_scores_codex":[0.9980949,0.0004008183,0.0003303314,0.0004363979,0.0002141576,0.0005233641],"domain_scores_gemma":[0.9986139,0.0007002132,0.0000772065,0.0003916516,0.00005429913,0.0001627123],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008040039,0.0003815942,0.9196497,0.0003156963,0.0007419204,0.0008419094,0.008962134,0.02270564,0.01804193,0.01478016,0.003087981,0.009687368],"study_design_scores_gemma":[0.002431232,0.001108391,0.7438765,0.00002618656,0.0001771265,0.0005888911,0.003711313,0.04123571,0.002040843,0.008451192,0.1954822,0.0008703689],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9779943,0.009194137,0.0005542965,0.001390383,0.0008115015,0.0002235114,0.00003851826,0.00005290591,0.009740473],"genre_scores_gemma":[0.9966619,0.00009906313,0.0003709626,0.001223159,0.0002083504,0.00001155616,0.00003481422,0.000005621946,0.001384545],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1923943,"threshold_uncertainty_score":0.9971488,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01943545182638207,"score_gpt":0.2415384696912364,"score_spread":0.2221030178648544,"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."}}