{"id":"W1628925238","doi":"10.1023/a:1026099523505","title":"Spectral Characteristics and Correction of Long-Term Eddy-Covariance Measurements Over Two Mixed Hardwood Forests in Non-Flat Terrain","year":2003,"lang":"en","type":"article","venue":"Boundary-Layer Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":85,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Manitoba Medical Service Foundation; U.S. Department of Energy","keywords":"Terrain; Turbulence; Mathematics; Stability (learning theory); Dissipation; Meteorology; Physics; Geography; Thermodynamics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005095318,0.0001908431,0.00029665,0.00009472988,0.00008926763,0.00003483476,0.0001298988,0.0001338324,0.0002934647],"category_scores_gemma":[0.00005472625,0.0001882238,0.00004781621,0.0001803615,0.0002302493,0.0001938825,0.00006425568,0.0002033783,0.00002569719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001551445,"about_ca_system_score_gemma":0.0000282793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002836995,"about_ca_topic_score_gemma":0.004678733,"domain_scores_codex":[0.9985117,0.0001626415,0.0003757461,0.0003623353,0.0002255792,0.0003619454],"domain_scores_gemma":[0.9994762,0.00004135998,0.0001638783,0.000230039,0.00001058438,0.00007796971],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007809376,0.00007528184,0.9603583,0.000008970766,0.00002677073,0.00002631618,0.0002228321,0.001169315,0.03513426,0.00005552802,0.000044537,0.002799744],"study_design_scores_gemma":[0.001147734,0.0001337873,0.983152,0.00001690532,0.000032903,0.00009434413,0.000003810587,0.01116766,0.00330458,0.0004635877,0.0002887814,0.0001939607],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938289,0.00003554362,0.003496853,0.00002928072,0.0008235194,0.0002520506,0.00001983,0.0000141088,0.001499894],"genre_scores_gemma":[0.9984671,0.00001805976,0.001078776,0.00007836271,0.0000226313,0.00001778802,0.00003177135,0.00001723293,0.0002682121],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03182968,"threshold_uncertainty_score":0.7675543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01358929844301038,"score_gpt":0.2451424720003445,"score_spread":0.2315531735573342,"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."}}