{"id":"W2915860055","doi":"10.1051/epjconf/201817605019","title":"Validation of the TOLNet lidars during SCOOP (Southern California Ozone Observation Project)","year":2018,"lang":"en","type":"article","venue":"EPJ Web of Conferences","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"Science Mission Directorate; California Institute of Technology; Langley Research Center; Jet Propulsion Laboratory; National Aeronautics and Space Administration","keywords":"SCOOP; Meteorology; Environmental science; Lidar; Aeronautics; Remote sensing; Geography; Engineering","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":[0.004029624,0.0005804921,0.0003506817,0.000722133,0.001065045,0.0009076573,0.001510116,0.0006232826,0.001624816],"category_scores_gemma":[0.004019896,0.0003336371,0.0002996798,0.001107636,0.000568594,0.001136822,0.001128634,0.0007177595,0.0004861618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001864488,"about_ca_system_score_gemma":0.001806273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06508433,"about_ca_topic_score_gemma":0.09231425,"domain_scores_codex":[0.9979954,0.0002837,0.0001036376,0.0004294608,0.0009362172,0.0002517305],"domain_scores_gemma":[0.9974292,0.0003833685,0.0001858732,0.0004365091,0.001396108,0.0001689599],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003854461,0.001952498,0.4654568,0.0003879444,0.0004246246,0.000546709,0.001090323,0.300392,0.08405263,0.003750558,0.02589042,0.1122011],"study_design_scores_gemma":[0.0009166657,0.0008690589,0.3065862,0.000152725,0.0001417595,0.000183197,0.001136193,0.612232,0.05791726,0.001648752,0.01804381,0.0001724633],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9722734,0.00008688463,0.009082834,0.0002430701,0.0001255058,0.0001846156,0.008705519,0.001123741,0.008174376],"genre_scores_gemma":[0.9783742,0.00003108191,0.01063426,0.0001308902,0.00001435844,0.0001469684,0.009475459,0.000124612,0.001068177],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06508433,"threshold_uncertainty_score":0.129411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01601300653858626,"score_gpt":0.2174442655507673,"score_spread":0.201431259012181,"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."}}