{"id":"W2028653872","doi":"10.1175/jamc-d-13-0202.1","title":"Subkilometer Numerical Weather Prediction in an Urban Coastal Area: A Case Study over the Vancouver Metropolitan Area","year":2014,"lang":"en","type":"article","venue":"Journal of Applied Meteorology and Climatology","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Foundation for Climate and Atmospheric Sciences","keywords":"Sea breeze; Meteorology; Climatology; Urban area; Urban heat island; Metropolitan area; Geology; Environmental science; Mesoscale meteorology; Boundary layer; Planetary boundary layer; Geography; Turbulence","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":[0.0009113854,0.0001539165,0.0003819854,0.0001100311,0.0001178282,0.00001232615,0.0001395044,0.0001547563,0.0004867205],"category_scores_gemma":[0.00003901841,0.00009891776,0.00004920019,0.0001596016,0.0003027853,0.000162596,0.00008189018,0.0003888167,0.000009104193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009199001,"about_ca_system_score_gemma":0.00001028867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001464143,"about_ca_topic_score_gemma":0.004164865,"domain_scores_codex":[0.9985054,0.0003203662,0.0004800688,0.0002395188,0.0001678154,0.0002868602],"domain_scores_gemma":[0.9991667,0.0002779535,0.0002387792,0.0001928096,0.000014011,0.0001097565],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003919658,0.0003967818,0.9934233,0.000002398719,0.00004537351,0.0003038432,0.001820285,0.00006555352,0.0007709942,0.0004759446,0.001581994,0.0007214944],"study_design_scores_gemma":[0.008416125,0.007078496,0.927985,0.000008455858,0.0005386205,0.01241766,0.02308909,0.00546416,0.0002620443,0.01003636,0.004234555,0.0004695128],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964734,0.00002004696,0.0007848775,0.00008561825,0.0002343838,0.000224567,0.00000346591,0.000008740882,0.002164899],"genre_scores_gemma":[0.9992068,0.00000459943,0.0003036553,0.0003697904,0.00006222405,0.00001954183,0.000001368255,0.00001209393,0.0000199379],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06543845,"threshold_uncertainty_score":0.5329248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009915886483072784,"score_gpt":0.2323821856089794,"score_spread":0.2224662991259066,"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."}}