{"id":"W2214923972","doi":"10.1117/12.2205687","title":"To the selection of heat flux parameterization models at the water-air interface for the study of the spring thermal bar in a deep lake","year":2015,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Tomsk State University","keywords":"Spring (device); Environmental science; Latent heat; Longwave; Meteorology; Bar (unit); Atmospheric model; Sensible heat; Atmospheric sciences; Heat flux; Thermal; Radiation; Geology; Heat transfer; Geography; Thermodynamics; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004336842,0.0003494089,0.0002984733,0.0003398416,0.0003031341,0.0006579913,0.0004713496,0.0004247034,0.0007154295],"category_scores_gemma":[0.001315604,0.0001688703,0.0005832721,0.0003064341,0.0001805869,0.0005632811,0.0004051555,0.0004132942,0.0001271246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004385407,"about_ca_system_score_gemma":0.00089909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005655911,"about_ca_topic_score_gemma":0.004144958,"domain_scores_codex":[0.999911,0.00003672185,0.000004888114,0.00001922227,0.00001244641,0.00001579975],"domain_scores_gemma":[0.9997455,0.0001157824,0.00003955742,0.00002625966,0.00004778959,0.00002502929],"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":[0.0001468627,0.0002181811,0.04494105,0.0001006689,0.00006611072,0.0001724204,0.000116738,0.9028341,0.02092425,0.006993404,0.0007883513,0.02269788],"study_design_scores_gemma":[0.00001370118,0.00005960062,0.006671775,0.000009243101,0.00001581826,0.00002053131,0.0000810366,0.9894803,0.002328989,0.0008497026,0.0004579561,0.00001134974],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8918968,0.0003870729,0.1027672,0.000324383,0.00003769188,0.0000892014,0.0002761298,0.0001775837,0.004043914],"genre_scores_gemma":[0.9917976,0.0001437165,0.007396568,0.00001370532,0.00001289405,0.00005151622,0.0001538102,0.00002502868,0.0004052227],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005655911,"threshold_uncertainty_score":0.01124597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01429928416524848,"score_gpt":0.211938570620025,"score_spread":0.1976392864547765,"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."}}