{"id":"W2138393225","doi":"10.1007/s10546-005-9001-0","title":"Monitoring the Sensible Heat Flux over Urban Areas using Large Aperture Scintillometry: Case Study of Marseille City During the Escompte Experiment","year":2005,"lang":"en","type":"article","venue":"Boundary-Layer Meteorology","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":59,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Wageningen University and Research","keywords":"Eddy covariance; Sensible heat; Homogeneity (statistics); Environmental science; Heat flux; Homogeneous; Urban heat island; Meteorology; Flux (metallurgy); Atmospheric sciences; Wind speed; Remote sensing; Geodesy; Climatology; Geography; Geology; Mathematics; Statistics; Physics; Materials science; Heat transfer; Mechanics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004472988,0.0005052769,0.0005864243,0.0005532338,0.0008781772,0.0006037931,0.0004624455,0.0009166931,0.0005778183],"category_scores_gemma":[0.0003849796,0.0002093169,0.000342807,0.0006935761,0.0005901131,0.0005024598,0.0004246951,0.0003491261,0.0001154512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001054556,"about_ca_system_score_gemma":0.0005233605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1091379,"about_ca_topic_score_gemma":0.1421935,"domain_scores_codex":[0.9997655,0.00005530914,0.000008547935,0.00007120492,0.00004464571,0.00005472486],"domain_scores_gemma":[0.9996604,0.0001086181,0.00005620671,0.00004155465,0.00007303766,0.00006020302],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004148674,0.00123733,0.8245253,0.0001172123,0.0004108531,0.005473405,0.004203312,0.03336094,0.1012473,0.0004682383,0.001447501,0.02335989],"study_design_scores_gemma":[0.000112612,0.0004483411,0.9717471,0.000005974955,0.0000654079,0.000187157,0.001164662,0.01598168,0.009205625,0.00006408355,0.0009833099,0.00003409513],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995875,0.000009895102,0.0001076202,0.00001323432,0.000001395377,0.000004597382,0.0001217682,0.00001152791,0.000142517],"genre_scores_gemma":[0.9992424,0.00001291131,0.0002507272,0.000004758302,0.000003059536,0.000007006594,0.0001682155,0.000004885191,0.000306047],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1091379,"threshold_uncertainty_score":0.2170053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02167563449142769,"score_gpt":0.2744222311561967,"score_spread":0.2527465966647691,"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."}}