{"id":"W2061327525","doi":"10.1080/07055900.2011.567379","title":"Validation of Forecast Cloud Parameters from Multispectral AIRS Radiances","year":2011,"lang":"en","type":"article","venue":"ATMOSPHERE-OCEAN","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"TransCanada (Canada); Institut National d'Optique; Environment and Climate Change Canada","funders":"National Oceanic and Atmospheric Administration; Canadian Meteorological and Oceanographic Society; Government of Canada","keywords":"Environmental science; Lidar; Atmospheric Infrared Sounder; Remote sensing; Meteorology; Satellite; Pathfinder; Cloud computing; Multispectral image; Radiative transfer; Atmospheric radiative transfer codes; Infrared window; Cloud top; Cloud cover; Infrared; Atmospheric sciences; Computer science; Water vapor; Geography; Geology; Physics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001095587,0.0002395819,0.0002508126,0.000001032141,0.00008890734,0.00001252296,0.0003647682,0.0001124696,0.00422694],"category_scores_gemma":[0.000013906,0.0002257711,0.0001280734,0.0001694331,0.0004605183,0.0003161554,0.0001365239,0.0001280252,0.0002380915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001741218,"about_ca_system_score_gemma":0.00000675187,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007187327,"about_ca_topic_score_gemma":0.0001042615,"domain_scores_codex":[0.9984998,0.00005005731,0.0003543466,0.0004235409,0.0003100271,0.0003622087],"domain_scores_gemma":[0.9991994,0.00004380262,0.0002106132,0.0003819861,0.000003311546,0.0001608719],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009504968,0.0002349397,0.9377419,0.000006034357,0.00006688298,0.00001471688,0.002910904,0.04107799,0.0008135855,0.0001032689,0.001063115,0.01587163],"study_design_scores_gemma":[0.001986193,0.0006907185,0.8848806,0.00005617894,0.0001943945,0.00001648041,0.003894087,0.05772563,0.03824262,0.008614914,0.002424561,0.001273593],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9848985,0.00005431179,0.005943964,0.00001915343,0.0002846937,0.0002095742,0.00001122419,0.00005519171,0.008523381],"genre_scores_gemma":[0.8902216,0.00005386972,0.1091031,0.00009088783,0.00003509082,0.00000298876,0.0000158671,0.00003288807,0.0004437132],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1031592,"threshold_uncertainty_score":0.9994239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01396155141535301,"score_gpt":0.1958256103860923,"score_spread":0.1818640589707393,"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."}}