{"id":"W2288556310","doi":"10.5539/enrr.v6n2p76","title":"Orographic Effects on Supercell: Development and Structure, Intensity and Tracking","year":2016,"lang":"en","type":"preprint","venue":"Environment and Natural Resources Research","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Oceanic and Atmospheric Administration; National Science Foundation","keywords":"Supercell; Orographic lift; Intensity (physics); Environmental science; Meteorology; Physics; Optics; Precipitation","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0002079681,0.0002831276,0.0002603532,0.0003323875,0.0004633015,0.0008402162,0.0006078028,0.0002943231,0.002301903],"category_scores_gemma":[0.001343363,0.0001881898,0.0002279587,0.0003309406,0.0003912409,0.0004174009,0.0006810296,0.0003168115,0.0001963406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006535987,"about_ca_system_score_gemma":0.000915923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01560941,"about_ca_topic_score_gemma":0.01188872,"domain_scores_codex":[0.9998388,0.00002129291,0.000008370132,0.00002700856,0.00003615006,0.00006835313],"domain_scores_gemma":[0.9992647,0.0001971919,0.0001484377,0.00009746542,0.0001477093,0.000144554],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004437823,0.0003548197,0.08125306,0.00008097677,0.00005085784,0.000282252,0.0001757175,0.875952,0.0198164,0.002820724,0.001002126,0.0177673],"study_design_scores_gemma":[0.0001000147,0.0002076421,0.02604177,0.00001504322,0.00003417625,0.00007008934,0.0002242183,0.9524019,0.0185164,0.0005412272,0.001821298,0.00002633634],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9901804,0.00004758091,0.004443929,0.00004667063,0.00001790009,0.00002772904,0.0003243105,0.0001446373,0.004766707],"genre_scores_gemma":[0.997926,0.00004096038,0.001249077,0.000008781893,0.000002583714,0.00001343555,0.0002531162,0.00003446944,0.000471411],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01560941,"threshold_uncertainty_score":0.03103709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04152154513861005,"score_gpt":0.2675651605341038,"score_spread":0.2260436153954938,"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."}}