{"id":"W2133419860","doi":"10.5194/amt-8-3229-2015","title":"A study of turbulent fluxes and their measurement errors for different wind regimes over the tropical Zongo Glacier (16° S) during the dry season","year":2015,"lang":"en","type":"article","venue":"Atmospheric measurement techniques","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Agence Nationale de la Recherche; Institut de Recherche pour le Développement","keywords":"Sensible heat; Eddy covariance; Katabatic wind; Atmospheric sciences; Latent heat; Turbulence; Glacier; Environmental science; Sink (geography); Wind speed; Climatology; Geology; Meteorology; Physics; Geography; Geomorphology","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":[0.001039608,0.0003008689,0.0003543948,0.00000463387,0.0004035043,0.00007171757,0.0003663162,0.00005800345,0.00004182537],"category_scores_gemma":[0.0001710367,0.0001411652,0.0001128911,0.0002252127,0.0001597205,0.00009995179,0.00006121416,0.0001482306,7.084086e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008987913,"about_ca_system_score_gemma":0.00006321876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001517624,"about_ca_topic_score_gemma":0.004715044,"domain_scores_codex":[0.9976069,0.0001948002,0.0004123229,0.0003603386,0.001078279,0.0003474089],"domain_scores_gemma":[0.9987221,0.0001144717,0.0002092432,0.0004708757,0.0003719419,0.0001113465],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000197814,0.0003151223,0.9733809,0.00005115699,0.0003310209,0.000001466195,0.004273905,0.0001449276,0.0001142511,0.00004883857,0.003203512,0.01793712],"study_design_scores_gemma":[0.0007302841,0.0008935604,0.9739775,0.00005297255,0.0001011899,0.000002834349,0.009778881,0.0007590916,0.0005007878,0.0003106383,0.0126825,0.0002097553],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913931,0.003993772,0.001287533,0.0007970875,0.0001471368,0.002105016,0.000006573695,0.0001407926,0.0001289779],"genre_scores_gemma":[0.9986237,0.000152261,0.0007582816,0.0001615268,0.0001221413,0.000104027,0.000002302342,0.00001457186,0.00006121756],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01772736,"threshold_uncertainty_score":0.5756549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05782340223330275,"score_gpt":0.2386021325773445,"score_spread":0.1807787303440417,"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."}}