{"id":"W2604493862","doi":"10.1175/mwr-d-16-0460.1","title":"The OWLeS IOP2b Lake-Effect Snowstorm: Shoreline Geometry and the Mesoscale Forcing of Precipitation","year":2017,"lang":"en","type":"article","venue":"Monthly Weather Review","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Aeronautics and Space Administration; National Oceanic and Atmospheric Administration; National Science Foundation","keywords":"Shore; Mesoscale meteorology; Precipitation; Geology; Weather Research and Forecasting Model; Snow; Front (military); Accretion (finance); Snowmelt; Climatology; Meteorology; Geomorphology; Oceanography; Geography","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":[0.00008887771,0.0002430087,0.000205544,0.0001712608,0.00069899,0.000575526,0.0005368663,0.0005655964,0.002095327],"category_scores_gemma":[0.0003306173,0.000217321,0.0003229503,0.0003038612,0.0003612286,0.0003170454,0.0003112915,0.0002652058,0.0001193775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004871114,"about_ca_system_score_gemma":0.003270311,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8348808,"about_ca_topic_score_gemma":0.8782887,"domain_scores_codex":[0.9999394,0.000007635806,0.000001963208,0.00001063066,0.00001327585,0.00002710469],"domain_scores_gemma":[0.9999063,0.00001106579,0.00001588611,0.000005504374,0.00002353783,0.00003779475],"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":[0.0004490871,0.0002792515,0.3746329,0.00008953179,0.000152438,0.0009827861,0.0005250531,0.590935,0.01425416,0.002211245,0.008198996,0.007289567],"study_design_scores_gemma":[0.0002200804,0.00006538835,0.3063847,0.000009930853,0.00003215863,0.00004217215,0.0004186757,0.6889692,0.001019671,0.0003161503,0.002493221,0.00002867075],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950061,0.00001814205,0.0003035165,0.0001606251,0.00000607525,0.00001336161,0.001110853,0.00003816938,0.003343135],"genre_scores_gemma":[0.998102,0.0000176427,0.0002656558,0.00001487757,0.000002524852,0.000009681876,0.0006232912,0.00001223354,0.000952117],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8348808,"threshold_uncertainty_score":0.3321832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0202584841543159,"score_gpt":0.2605447440045673,"score_spread":0.2402862598502514,"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."}}