{"id":"W4296123500","doi":"10.1007/s10546-022-00732-7","title":"Estimating Sensible and Latent Heat Fluxes over an Inland Water Body Using Optical and Microwave Scintillometers","year":2022,"lang":"en","type":"article","venue":"Boundary-Layer Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut National de la Recherche Scientifique; Université Laval","funders":"Gulf Research Program","keywords":"Sensible heat; Scintillometer; Eddy covariance; Latent heat; Environmental science; Atmospheric sciences; Microwave Limb Sounder; Meteorology; Turbulence; Water vapor; Geology; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004548192,0.0001717614,0.0002204917,0.00008994986,0.000610229,0.0001062809,0.00009860622,0.00007466981,0.0002549812],"category_scores_gemma":[0.000008429255,0.0001406343,0.0000303528,0.00009056781,0.0003676626,0.0002255258,0.0006038864,0.0002330374,0.00001079353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001047068,"about_ca_system_score_gemma":0.00001214252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004269838,"about_ca_topic_score_gemma":0.00005248395,"domain_scores_codex":[0.9985749,0.0001539268,0.0002223674,0.0004479489,0.0001926846,0.0004081403],"domain_scores_gemma":[0.9996028,0.00004122082,0.00003219227,0.0001838654,0.00000495842,0.0001349598],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009765277,0.00007760094,0.2400527,0.00001137724,0.00005317461,0.0001234614,0.0009926078,0.04496051,0.7117517,0.0001326741,0.0000517418,0.001694747],"study_design_scores_gemma":[0.0008395084,0.0004552802,0.04583113,0.000004121709,0.0001000217,0.001645667,0.00004831145,0.9433652,0.002427165,0.002085123,0.002810373,0.0003881071],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979823,0.00005841371,0.001099877,0.0001659527,0.0002154974,0.0001517501,0.00001981591,0.00002823547,0.0002781301],"genre_scores_gemma":[0.9836451,0.000004482308,0.01577792,0.0003772051,0.00002306376,0.000008857954,0.00004091786,0.00002006473,0.0001024136],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8984047,"threshold_uncertainty_score":0.5734901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0129464403512224,"score_gpt":0.2324549025188823,"score_spread":0.2195084621676599,"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."}}