{"id":"W3021977188","doi":"","title":"Simulation of Extreme Wind and Precipitation Patterns Associated with a Squall Line Passage in Southern Ontario on August 2, 2006","year":2008,"lang":"en","type":"article","venue":"AGUFM","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Squall line; Meteorology; Precipitation; Climatology; Geology; Environmental science; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":{"n_in":0,"stratum":"about_only","weight":3321.24,"opus":{"tier":"OUT","genre":"empirical","about_ca":false,"confidence":"high","reason":"No abstract; meteorological simulation of a squall line; atmospheric science."},"gpt":{"tier":"OUT","genre":"empirical","about_ca":false,"confidence":"high","reason":"The work simulates meteorological conditions associated with a squall line."},"grok":{"tier":"OUT","genre":"empirical","about_ca":false,"confidence":"medium","reason":"Meteorological simulation of a weather event; atmospheric science (no abstract)."}},"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000183181,0.0004662359,0.0003887505,0.000359465,0.001170529,0.0005931448,0.000981841,0.001005411,0.002514406],"category_scores_gemma":[0.0008277853,0.0003683365,0.0005015784,0.0005695311,0.0006575848,0.0003082769,0.0003973733,0.0007319301,0.0001672663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005851401,"about_ca_system_score_gemma":0.004817869,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9070985,"about_ca_topic_score_gemma":0.9422483,"domain_scores_codex":[0.999905,0.0000145646,0.000005207977,0.00002019762,0.00002133176,0.00003371065],"domain_scores_gemma":[0.9996918,0.00005080803,0.00003735339,0.00001649011,0.00009969781,0.000103838],"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":[0.0004364841,0.0001772186,0.0825622,0.00004104338,0.0001248702,0.0007118686,0.0003063122,0.9060465,0.001794518,0.0007138217,0.004002998,0.003082266],"study_design_scores_gemma":[0.0002913156,0.0001303061,0.08256433,0.00001322211,0.00006309721,0.00004299742,0.0006448516,0.9130177,0.0006443758,0.0002264605,0.002321676,0.00003972067],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950107,0.00002278639,0.0002721402,0.0001696168,0.00001988746,0.00001863585,0.001391261,0.00006483938,0.00303002],"genre_scores_gemma":[0.9967499,0.00002318692,0.0004832128,0.0000208857,0.000004588377,0.00001163435,0.001332341,0.00001125873,0.001362896],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09290147,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05280181018653015,"score_gpt":0.2243557907729119,"score_spread":0.1715539805863817,"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."}}