{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001024633,0.0007230937,0.0005198967,0.000542598,0.0005765515,0.0007592938,0.0008762084,0.0009540524,0.004558667],"category_scores_gemma":[0.001534795,0.0001952682,0.0003507229,0.0005002603,0.0004263042,0.001110855,0.0006498623,0.0005801918,0.002482403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003632429,"about_ca_system_score_gemma":0.0005423452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01556503,"about_ca_topic_score_gemma":0.01642085,"domain_scores_codex":[0.99949,0.00008496939,0.00002349442,0.00009529325,0.0001813567,0.0001249082],"domain_scores_gemma":[0.9983886,0.0003024756,0.00007870353,0.0002564476,0.0006953062,0.0002784751],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.02253897,0.007267612,0.1971131,0.0007262667,0.00134435,0.003844788,0.002141378,0.1202444,0.361351,0.001892853,0.09477788,0.1867573],"study_design_scores_gemma":[0.003777608,0.008055999,0.4838155,0.00004421208,0.0005072404,0.0009198134,0.001400052,0.2365489,0.2261857,0.001331188,0.03723293,0.0001809368],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9643186,0.0001290098,0.006348459,0.0004676879,0.0001497037,0.0001695147,0.0159101,0.003666303,0.008840644],"genre_scores_gemma":[0.9609974,0.00004477413,0.006691707,0.0001918097,0.00004469777,0.00007026891,0.02686346,0.0003884884,0.004707434],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01556503,"threshold_uncertainty_score":0.03094888,"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."}}