{"id":"W2994704024","doi":"10.1029/2019jd030874","title":"Meteorological Imagery for the Geostationary Lightning Mapper","year":2019,"lang":"en","type":"article","venue":"Journal of Geophysical Research Atmospheres","topic":"Lightning and Electromagnetic Phenomena","field":"Physics and Astronomy","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lockheed Martin (Canada)","funders":"National Oceanic and Atmospheric Administration; National Aeronautics and Space Administration","keywords":"Geostationary orbit; Mesoscale meteorology; Lightning (connector); Meteorology; Footprint; Remote sensing; Environmental science; Convective storm detection; Thunderstorm; Storm; Satellite imagery; Satellite; Computer science; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001092103,0.0001250282,0.0002690529,0.00001784785,0.0002615251,0.0001202859,0.0004625327,0.00003311869,0.000864496],"category_scores_gemma":[0.0001168479,0.00006898191,0.0002548292,0.0002396973,0.0001402845,0.0001956434,0.00009573916,0.0006526245,0.0001520691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003320777,"about_ca_system_score_gemma":0.0001841053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008032806,"about_ca_topic_score_gemma":4.161574e-7,"domain_scores_codex":[0.9981215,0.0001661944,0.0003270518,0.0001729795,0.000669053,0.0005432177],"domain_scores_gemma":[0.9959105,0.003053283,0.0001502827,0.0002152487,0.0005329253,0.0001377441],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.003489325,0.002260465,0.08749637,0.000143749,0.00222638,0.00004194888,0.001977602,0.001245817,0.1460262,0.3039028,0.2068261,0.2443633],"study_design_scores_gemma":[0.005855061,0.01116083,0.2007272,0.0002247111,0.0002204032,0.00002988915,0.005973459,0.01315658,0.01278776,0.5159672,0.233032,0.0008648927],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9872878,0.0005613607,0.002106657,0.002535404,0.0002062529,0.0003150318,0.000006897188,0.000007820969,0.006972758],"genre_scores_gemma":[0.9926199,0.00001323319,0.002315564,0.00006389615,0.001377647,0.00002495613,0.000002919316,0.00001744562,0.003564471],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2434984,"threshold_uncertainty_score":0.9465625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02470179334653179,"score_gpt":0.3136227839093212,"score_spread":0.2889209905627894,"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."}}