{"id":"W2011338681","doi":"10.1007/s11038-015-9463-0","title":"Detecting of ELF/VLF Signals Generated by GEMINIDS 2011 Meteors","year":2015,"lang":"en","type":"article","venue":"Earth Moon and Planets","topic":"Astro and Planetary Science","field":"Physics and Astronomy","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Meteoroid; Fuze; Hertz; SIGNAL (programming language); Lightning (connector); Meteor shower; Mechanism (biology); Very low frequency; Meteor (satellite); Physics; Shower; Extremely low frequency; Acoustics; Frequency band; Range (aeronautics); Remote sensing; Computer science; Telecommunications; Geology; Engineering; Meteorology; Aerospace engineering; Astronomy; Geography; Electromagnetic field","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":[0.0002965876,0.0002754041,0.0001840992,0.001222439,0.000330739,0.0004647904,0.0002351015,0.0004488653,0.001038425],"category_scores_gemma":[0.0003899782,0.0001378104,0.0002194259,0.000535815,0.0001111379,0.0003237561,0.0002901667,0.000284243,0.0003804149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002219312,"about_ca_system_score_gemma":0.0001627474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001644483,"about_ca_topic_score_gemma":0.003866288,"domain_scores_codex":[0.9998431,0.00001112082,0.000006187416,0.00004955372,0.00004291831,0.0000470368],"domain_scores_gemma":[0.9997627,0.00003075331,0.00005706044,0.00002548219,0.0000602725,0.00006362772],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0012047,0.0001680623,0.5730016,0.0002133633,0.0002211961,0.0007725383,0.0004326531,0.001091518,0.3322238,0.0004884113,0.004580881,0.08560131],"study_design_scores_gemma":[0.00003467903,0.0001594262,0.9561338,0.0000256766,0.0001180634,0.0004111944,0.0002923521,0.004726387,0.03060107,0.0001049034,0.007372722,0.00001976121],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926015,0.0004637144,0.00135686,0.0001005097,0.0000659006,0.00001289593,0.001150996,0.0001800034,0.004067628],"genre_scores_gemma":[0.9931436,0.0001559474,0.00286296,0.00007279843,0.00006021146,0.000009327134,0.001989519,0.00002404289,0.001681535],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001644483,"threshold_uncertainty_score":0.003473878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01796786816983912,"score_gpt":0.2093614303011244,"score_spread":0.1913935621312853,"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."}}