{"id":"W2130315788","doi":"10.1190/1.1468604","title":"Atmospheric sources for audio-magnetotelluric (AMT) sounding","year":2002,"lang":"en","type":"article","venue":"Geophysics","topic":"Seismic Waves and Analysis","field":"Earth and Planetary Sciences","cited_by":111,"is_retracted":false,"has_abstract":true,"ca_institutions":"Geological Survey of Canada","funders":"","keywords":"Depth sounding; Amplitude; Magnetotellurics; Geology; Daytime; Lightning detection; Ionosphere; Attenuation; Geophysics; SIGNAL (programming language); Environmental science; Remote sensing; Acoustics; Meteorology; Physics; Atmospheric sciences; Computer science; Thunderstorm; Optics","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":[0.0002880745,0.0004704498,0.0002492722,0.0006955953,0.0003832865,0.0006465132,0.0004067764,0.0004117749,0.005497577],"category_scores_gemma":[0.001396718,0.0002025008,0.0003096398,0.001033397,0.0001805126,0.0005566293,0.0006100083,0.0003868999,0.0007550346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002250811,"about_ca_system_score_gemma":0.0002558603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00217138,"about_ca_topic_score_gemma":0.003639461,"domain_scores_codex":[0.9998034,0.00002969131,0.000005809737,0.00003305772,0.000107515,0.00002055631],"domain_scores_gemma":[0.9994709,0.0002064178,0.00008995806,0.00006473903,0.0001364965,0.00003148215],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008543018,0.0001087058,0.08077958,0.0005317401,0.0001557129,0.0009864089,0.0002423289,0.02272675,0.3345523,0.01271906,0.008130404,0.5382127],"study_design_scores_gemma":[0.0002146427,0.0003127124,0.245903,0.0001830509,0.0004290584,0.00132948,0.0002104273,0.5378651,0.1511278,0.01046205,0.05183768,0.0001250052],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5392256,0.001477713,0.4284521,0.0006668548,0.0002956994,0.0001105913,0.00220815,0.003572015,0.02399137],"genre_scores_gemma":[0.8700362,0.000513607,0.1236524,0.00005809291,0.0003787581,0.00004232363,0.001456388,0.0003209234,0.003541312],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005497577,"threshold_uncertainty_score":0.01839119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01558270712591559,"score_gpt":0.1795251416307105,"score_spread":0.1639424345047949,"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."}}