{"id":"W2127347356","doi":"10.1016/s0168-1923(00)00238-0","title":"Micro-meteorological methods for estimating surface exchange with a disturbed windflow","year":2001,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":72,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Advection; Flux (metallurgy); Wind speed; Environmental science; Meteorology; Flow (mathematics); Atmospheric instability; Stability (learning theory); Mass flux; Atmospheric sciences; TRACER; Mechanics; Climatology; Geology; Physics; Thermodynamics; Materials science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0004197433,0.0003130322,0.0003504217,0.001137605,0.0002624056,0.000360936,0.0004184806,0.0001703314,0.0006596445],"category_scores_gemma":[0.001955131,0.0002825705,0.0002267825,0.001115712,0.0001965493,0.0005262079,0.0003856955,0.0002827438,0.0001544688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002042867,"about_ca_system_score_gemma":0.0002918524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005044077,"about_ca_topic_score_gemma":0.0101086,"domain_scores_codex":[0.9998513,0.0000447127,0.00001285485,0.00003089983,0.00005028344,0.000009890769],"domain_scores_gemma":[0.9991871,0.0004906369,0.0001070149,0.0000824954,0.0001014437,0.00003138081],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006094425,0.0001901641,0.1263881,0.0001745746,0.0002560859,0.0001089497,0.0002440704,0.4227833,0.03695268,0.004683584,0.0007011329,0.4069079],"study_design_scores_gemma":[0.00001939508,0.00004637356,0.03267495,0.000004053236,0.000028243,0.00004072312,0.00003289444,0.9619802,0.003276158,0.00149028,0.0003926112,0.00001408636],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.246041,0.0002483319,0.7519303,0.0000204759,0.00002815095,0.00004579358,0.0002774656,0.0004390785,0.0009695568],"genre_scores_gemma":[0.8324394,0.0001238659,0.166323,0.000007688968,0.00002977884,0.00009946265,0.000213586,0.00003888266,0.0007243208],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005044077,"threshold_uncertainty_score":0.01002944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01497765819473654,"score_gpt":0.2593183274081578,"score_spread":0.2443406692134213,"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."}}