{"id":"W7099184309","doi":"","title":"9B.6 ANALYSIS OF MCV TORNADOES THROUGH STORM-SCALE DATA ASSIMILATION AND SIMULATIONS","year":2007,"lang":"en","type":"article","venue":"","topic":"Hymenoptera taxonomy and phylogeny","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tornado; Supercell; Mesoscale meteorology; Data assimilation; Convective storm detection; Severe weather","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":[0.00050811,0.0005925379,0.0005104017,0.0005538081,0.0009938263,0.0009169901,0.000539682,0.000980288,0.002603128],"category_scores_gemma":[0.001124111,0.0004328008,0.0007268677,0.0004668461,0.0003762797,0.0004405227,0.0003902903,0.0007180513,0.0002688661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001078116,"about_ca_system_score_gemma":0.001341249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2036127,"about_ca_topic_score_gemma":0.1143007,"domain_scores_codex":[0.9998523,0.00002654853,0.00001188101,0.00002752188,0.00003697852,0.00004478145],"domain_scores_gemma":[0.9995947,0.0001343016,0.00004521836,0.00003292103,0.0001384038,0.00005455472],"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":[0.0002044244,0.0001708794,0.0321451,0.00004188782,0.000150116,0.0001635894,0.00007054209,0.9548835,0.002578874,0.0009408201,0.002085872,0.006564463],"study_design_scores_gemma":[0.00003938405,0.0000210794,0.009536029,0.000004991911,0.00001057608,0.000008613609,0.00004956752,0.9893582,0.0004164735,0.000134918,0.000408911,0.0000111737],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9870978,0.0001276325,0.00379204,0.000394824,0.00007176679,0.0000639049,0.002579939,0.0004281558,0.0054438],"genre_scores_gemma":[0.9921058,0.00004437478,0.005221552,0.00004966935,0.00001522633,0.00003381762,0.001597732,0.0000599711,0.0008718844],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2036127,"threshold_uncertainty_score":0.4048551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06816414095064803,"score_gpt":0.2835702188411785,"score_spread":0.2154060778905305,"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."}}