{"id":"W4380079024","doi":"10.3390/atmos14060998","title":"Analysis of the Development Mechanisms of a Polar Low over the Norwegian Sea Simulated with the Canadian Regional Climate Model","year":2023,"lang":"en","type":"article","venue":"Atmosphere","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"Networks of Centres of Excellence of Canada","keywords":"Baroclinity; Latent heat; Climatology; Environmental science; Wind shear; Convection; Troposphere; Convective instability; Atmospheric sciences; Climate model; Thermal wind; Mesoscale meteorology; Cyclogenesis; Geology; Meteorology; Climate change; Cyclone (programming language); Wind speed; Oceanography; Geography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003089102,0.0001042858,0.0001495753,0.000009423482,0.0004876229,0.00001851601,0.0003829785,0.00004943678,0.0003834698],"category_scores_gemma":[0.000009405609,0.00004423351,0.0000907886,0.001107579,0.0001533547,0.00004737293,0.00002426091,0.0001223007,0.00001527601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001333128,"about_ca_system_score_gemma":0.000437033,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1037304,"about_ca_topic_score_gemma":0.7731394,"domain_scores_codex":[0.9990036,0.00005233668,0.0001674223,0.0001362988,0.0003589567,0.0002813203],"domain_scores_gemma":[0.9993452,0.0001229592,0.000116502,0.0002864919,0.00006052091,0.00006826341],"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":[0.00001884485,0.00000374169,0.2779556,0.000007272499,0.0002880277,0.000001913146,0.00160421,0.7188312,0.000001590474,0.000504553,0.00009762505,0.0006854635],"study_design_scores_gemma":[0.00005877066,0.00001020459,0.4401138,0.00000959745,0.0001121251,7.231118e-7,0.000875393,0.5584772,0.000003085313,0.0001511946,0.000139082,0.0000487559],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970841,0.00001087958,0.0003900897,0.001431514,0.0000318506,0.0001407575,0.0001056992,0.00001063795,0.0007944257],"genre_scores_gemma":[0.9985743,0.00001030559,0.0004517031,0.000611209,0.000006473893,6.1819e-7,0.00008667455,0.000004161524,0.0002545233],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6694089,"threshold_uncertainty_score":0.9022379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009234491631357849,"score_gpt":0.1934368699860338,"score_spread":0.184202378354676,"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."}}