{"id":"W2912426532","doi":"","title":"A comparison of surface-layer and surface turbulent-flux observations over the Labrador Sea with ECMWF analyses and NCEP reanalyses (Formerly Paper P1.9)","year":2000,"lang":"en","type":"article","venue":"Aspen Meeting","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Mixed layer; Climatology; Meteorology; Flux (metallurgy); Surface layer; Environmental science; Turbulence; Atmospheric sciences; Layer (electronics); Geology; Geography; Chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002155261,0.0001983272,0.0002719963,0.000003509044,0.0002853323,0.0000491879,0.0001736112,0.00005578363,0.001863605],"category_scores_gemma":[0.00001115516,0.0001296531,0.00004143282,0.0002490904,0.0004545881,0.0003484534,0.0001088006,0.0001351646,0.00002135373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000512318,"about_ca_system_score_gemma":0.000006201346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005138057,"about_ca_topic_score_gemma":0.0007962604,"domain_scores_codex":[0.9986945,0.00007352633,0.0002990794,0.0003250937,0.0003475394,0.0002602562],"domain_scores_gemma":[0.9993466,0.0001430552,0.0001527293,0.0002659535,0.000004679811,0.00008696228],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002429213,0.00004968413,0.7770807,0.000005523322,0.00005377939,0.000002068787,0.0009728831,0.2082151,0.00741768,0.000005810381,0.0001391067,0.006033311],"study_design_scores_gemma":[0.0003261855,0.0001175395,0.925676,0.00003514406,0.0001718702,0.00001027566,0.002172196,0.06775215,0.00120991,0.00003905789,0.002243487,0.0002462199],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956839,0.000475986,0.0001337506,0.0002669824,0.000007653423,0.0001742477,0.000003574458,0.00001768051,0.003236221],"genre_scores_gemma":[0.9821601,0.0002486063,0.01594812,0.0002116937,0.000009289746,0.000002549215,0.000007738209,0.00001995535,0.001391952],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1485952,"threshold_uncertainty_score":0.9990488,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03506103819026438,"score_gpt":0.2877762243134632,"score_spread":0.2527151861231989,"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."}}