{"id":"W2167388995","doi":"10.3137/ao922.2009","title":"Mesoscale wind climate modelling in steep mountains","year":2009,"lang":"en","type":"article","venue":"ATMOSPHERE-OCEAN","topic":"Climate variability and models","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; École de Technologie Supérieure; University of Alberta","funders":"","keywords":"Mesoscale meteorology; Downscaling; Climatology; Environmental science; Troposphere; Radiosonde; Climate model; Geostrophic wind; Meteorology; Wind speed; Atmospheric sciences; Geology; Climate change; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004931521,0.0002131345,0.0002414484,0.000004324337,0.0001332702,0.00005037435,0.0003023767,0.0001275838,0.001385088],"category_scores_gemma":[0.00001304504,0.0002083765,0.000081182,0.000298484,0.00009356635,0.0003888251,0.0001330597,0.0002144852,0.0003110651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002626407,"about_ca_system_score_gemma":0.00001017738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006838563,"about_ca_topic_score_gemma":0.0002474228,"domain_scores_codex":[0.9981299,0.00005888996,0.0003843206,0.0005088719,0.0003019981,0.0006159991],"domain_scores_gemma":[0.9992858,0.0000502199,0.00007211457,0.0004404708,0.000006373622,0.0001450804],"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":[0.00004296439,0.000284544,0.1196646,0.000008544102,0.000003961301,0.00001801438,0.001048217,0.8745527,0.0003386754,0.001318343,0.0003637381,0.002355678],"study_design_scores_gemma":[0.0009227819,0.0001676942,0.03307411,0.00004106404,0.00002027291,0.00000915453,0.0004075832,0.9446048,0.0002265291,0.01564953,0.004346692,0.0005297668],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9615109,0.00004285583,0.001121462,0.0003581258,0.00006315308,0.0002509711,0.000008591493,0.00008482618,0.03655914],"genre_scores_gemma":[0.9948797,0.00008431861,0.003902101,0.0006674458,0.0000327881,0.000001064663,0.000009866571,0.00001958284,0.0004031926],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08659054,"threshold_uncertainty_score":0.9995278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01480700370033188,"score_gpt":0.2304126556091605,"score_spread":0.2156056519088286,"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."}}