{"id":"W2015350636","doi":"10.1175/2007waf2006058.1","title":"Precipitation Regimes during Cold-Season Central U.S. Inverted Trough Cases. Part II: A Comparative Case Study","year":2008,"lang":"en","type":"article","venue":"Weather and Forecasting","topic":"Climate variability and models","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Frontogenesis; Trough (economics); Climatology; Cold front; Precipitation; Extratropical cyclone; Cyclone (programming language); Synoptic scale meteorology; Geology; Warm front; Storm; Cyclogenesis; Precipitation types; Snow; Front (military); Winter storm; Atmospheric sciences; Meteorology; Mesoscale meteorology; Geography; Oceanography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003495351,0.0001891741,0.0002562829,0.00141597,0.0007106378,0.0006392529,0.000314065,0.000425274,0.0009905419],"category_scores_gemma":[0.0008727786,0.0001252481,0.0002629478,0.001816067,0.0004713026,0.0004339379,0.0004006802,0.0002340269,0.00008611209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00129736,"about_ca_system_score_gemma":0.000322062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05893122,"about_ca_topic_score_gemma":0.1043255,"domain_scores_codex":[0.9997618,0.00007058816,0.00001737033,0.00003661084,0.00004163149,0.00007203932],"domain_scores_gemma":[0.9993126,0.0002284676,0.0001494494,0.00005737726,0.000135405,0.0001165846],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001407493,0.0007244681,0.9536229,0.0001067065,0.00008251516,0.006272402,0.002274964,0.01164644,0.006192551,0.0008380543,0.002050624,0.01478086],"study_design_scores_gemma":[0.0000797407,0.0003871098,0.9797122,0.00001777239,0.00002301116,0.0008419277,0.004701726,0.0111153,0.001583754,0.0001622067,0.001353553,0.00002163522],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998624,0.00003345657,0.00005518196,0.00001371111,0.000001646538,0.00001534404,0.0002786018,0.000005296612,0.000972726],"genre_scores_gemma":[0.9991797,0.00004537159,0.0001429699,0.000006148593,0.000004668071,0.000008415534,0.0004412002,0.000002419104,0.0001692441],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05893122,"threshold_uncertainty_score":0.1171764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0865451066433016,"score_gpt":0.2662435257096244,"score_spread":0.1796984190663228,"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."}}