{"id":"W2271839103","doi":"10.1155/2016/6318460","title":"The Impact of Storm Tracks on Warm-Season Precipitation in the Midwest: Contrasting the 1988 Drought and 1993 Flood","year":2015,"lang":"en","type":"article","venue":"Advances in Meteorology","topic":"Climate variability and models","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Oceanic and Atmospheric Administration; National Science Foundation","keywords":"Flood myth; Storm; Cyclone (programming language); Precipitation; Climatology; Precipitable water; Tropical cyclone; Middle latitudes; Storm track; Extratropical cyclone; Spring (device); Environmental science; Geography; Geology; Meteorology","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":[0.002220535,0.00009572038,0.0001380224,0.00001770336,0.00009188575,0.00001158656,0.0002675794,0.00005455745,0.00001645458],"category_scores_gemma":[0.0006280583,0.00004455141,0.00003150451,0.0001615685,0.0004241632,0.0002261724,0.0000548932,0.0002000273,0.000004511377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008890012,"about_ca_system_score_gemma":0.00001185068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007444888,"about_ca_topic_score_gemma":0.00514201,"domain_scores_codex":[0.9987096,0.0004874589,0.0002230897,0.0001884524,0.0001602684,0.0002312001],"domain_scores_gemma":[0.9977649,0.001873778,0.0001035354,0.0002234469,0.000007058531,0.00002720916],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009403674,0.0004478101,0.5982417,0.00001662962,0.00002587443,0.000007298675,0.0290187,0.2594425,0.002484315,0.005481827,0.0001106158,0.1037823],"study_design_scores_gemma":[0.002031162,0.00168588,0.8572834,0.00002769358,0.00003181086,0.0000258697,0.0038535,0.04096588,0.0003978136,0.09055285,0.00291619,0.000227931],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957697,0.0009094424,0.0001117572,0.0007702872,0.0001001962,0.0003111072,0.000005505462,0.000004869071,0.002017117],"genre_scores_gemma":[0.9992778,0.000348293,0.0001757105,0.0001247868,0.00001878536,0.00004170716,0.000002113883,0.000004388713,0.000006421561],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2590417,"threshold_uncertainty_score":0.2869362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02091959338608397,"score_gpt":0.3063062080951245,"score_spread":0.2853866147090405,"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."}}