{"id":"W2176871732","doi":"10.1175/jamc-d-15-0060.1","title":"Diurnal Course of Carbon Dioxide Mixing Ratios in the Urban Boundary Layer in Response to Surface Emissions","year":2016,"lang":"en","type":"article","venue":"Journal of Applied Meteorology and Climatology","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Advection; Entrainment (biomusicology); Environmental science; Eddy covariance; Atmospheric sciences; Boundary layer; Mixing ratio; Diurnal cycle; Planetary boundary layer; Greenhouse gas; Flux (metallurgy); Turbulence; Convective Boundary Layer; Mixing (physics); Stratification (seeds); Meteorology; Mechanics; Geology; Materials science; Physics; Thermodynamics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00008644967,0.0002116935,0.0002091803,0.0003586404,0.0002631914,0.0003844874,0.0001757363,0.0001792199,0.0007355059],"category_scores_gemma":[0.0002922929,0.0001523991,0.0001264001,0.000362503,0.0001215579,0.0000824911,0.0001649449,0.0001645798,0.0001866346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004931533,"about_ca_system_score_gemma":0.0002568401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1089242,"about_ca_topic_score_gemma":0.1544943,"domain_scores_codex":[0.9999322,0.00000618582,0.000002172299,0.00002248747,0.00002028016,0.00001672092],"domain_scores_gemma":[0.9998302,0.00003325583,0.00002312305,0.00001746543,0.00005443857,0.00004136199],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008938861,0.0001398403,0.8214689,0.000084138,0.0001774024,0.0002113328,0.0005613244,0.01977992,0.1340277,0.0001480818,0.002362458,0.02014505],"study_design_scores_gemma":[0.000005874682,0.00001887049,0.9804791,0.000003476626,0.00000712672,0.00001610448,0.00009730288,0.01495598,0.003977863,0.00001871132,0.0004121673,0.000007532142],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980898,0.00002716018,0.0002353442,0.0000118621,0.000003139124,0.000004440201,0.0009183589,0.00005577166,0.0006541279],"genre_scores_gemma":[0.9983981,0.00001509542,0.0001604034,0.000004166629,0.000001203918,0.000005658991,0.00113963,0.000008105866,0.0002676342],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1089242,"threshold_uncertainty_score":0.2165804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009738126982043653,"score_gpt":0.2477939724609184,"score_spread":0.2380558454788747,"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."}}