{"id":"W2787735916","doi":"","title":"Geostationary Lightning Mapper: Post Launch Test Results","year":2018,"lang":"en","type":"article","venue":"98th American Meteorological Society Annual Meeting","topic":"Lightning and Electromagnetic Phenomena","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Lightning (connector); Geostationary orbit; Remote sensing; Test (biology); Meteorology; Environmental science; Geology; Engineering; Geography; Physics; Satellite; Aerospace engineering; Power (physics)","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000693567,0.0003191683,0.0004089491,0.00003077684,0.0007406659,0.00007851591,0.0003486605,0.00007035786,0.0003498235],"category_scores_gemma":[0.0002828816,0.0002573225,0.0002531534,0.0005664045,0.0007793088,0.000159087,0.0001888616,0.0004149322,0.0002314598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000448731,"about_ca_system_score_gemma":0.00006744258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004656228,"about_ca_topic_score_gemma":0.000002855185,"domain_scores_codex":[0.9974458,0.0001523732,0.0004935791,0.0006650081,0.0003421631,0.0009010996],"domain_scores_gemma":[0.997957,0.0008615551,0.0003414128,0.0002831744,0.00031179,0.000245098],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001222369,0.002685697,0.3159431,0.00007527368,0.001291321,0.0000313575,0.05235877,0.0002379255,0.1231009,0.01412963,0.119526,0.3693977],"study_design_scores_gemma":[0.008773716,0.03583839,0.3454626,0.0003204183,0.0005543182,0.00004558338,0.1257198,0.008995106,0.02134018,0.02010614,0.4266318,0.006211956],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9380299,0.00007614412,0.0007311683,0.003551846,0.0001379819,0.0001878835,0.0005025435,0.0002403156,0.05654222],"genre_scores_gemma":[0.9768839,0.000006226207,0.01839245,0.0020415,0.001639253,0.00003244407,0.0001593728,0.00002880649,0.0008160128],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3631857,"threshold_uncertainty_score":0.9999879,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005784601336229244,"score_gpt":0.2326410220971345,"score_spread":0.2268564207609052,"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."}}