{"id":"W2744023109","doi":"10.1002/2017jd026622","title":"Cloud‐resolving model intercomparison of an MC3E squall line case: Part I—Convective updrafts","year":2017,"lang":"en","type":"article","venue":"Journal of Geophysical Research Atmospheres","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":178,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; McGill University","funders":"U.S. Department of Energy","keywords":"Squall line; Weather Research and Forecasting Model; Mesoscale meteorology; Environmental science; Atmospheric sciences; Wind shear; Meteorology; Convection; Outflow; Cloud physics; Wind speed; Climatology; Geology; Physics; Cloud computing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001230764,0.001134227,0.0009861257,0.0006093061,0.0008191176,0.001019362,0.001741388,0.001613876,0.002067778],"category_scores_gemma":[0.001456793,0.0004582028,0.001389967,0.0007556529,0.0005590431,0.001068605,0.000554672,0.0008112249,0.0003448647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001258024,"about_ca_system_score_gemma":0.0006697889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0949682,"about_ca_topic_score_gemma":0.04244855,"domain_scores_codex":[0.9996783,0.0001029014,0.00002246278,0.00008005139,0.00004572227,0.00007064403],"domain_scores_gemma":[0.9991508,0.0003017651,0.0000831283,0.0001248162,0.0002055817,0.0001339289],"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":[0.001216923,0.0007466145,0.04793293,0.00007982495,0.0004147768,0.0003891094,0.0001464347,0.9288071,0.01144442,0.000668391,0.001528592,0.006624815],"study_design_scores_gemma":[0.0004853457,0.0003996643,0.01946554,0.000007883796,0.00006711997,0.00003031301,0.00008851728,0.9749448,0.003742604,0.0001403577,0.000592701,0.00003527973],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996444,0.00005884426,0.0006630613,0.0001260679,0.00002092158,0.00003156286,0.0008258025,0.0002053289,0.001624428],"genre_scores_gemma":[0.9964517,0.00002100838,0.001598768,0.00005709276,0.00001201922,0.00002572709,0.00144025,0.00004177609,0.0003516529],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0949682,"threshold_uncertainty_score":0.1888309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1226166680258884,"score_gpt":0.3770053687911679,"score_spread":0.2543887007652795,"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."}}