{"id":"W4402047079","doi":"10.3390/min14090888","title":"Moment Estimation from Time Domain Electromagnetic Data","year":2024,"lang":"en","type":"article","venue":"Minerals","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Time domain; Moment (physics); Waveform; Impulse response; Impulse (physics); Method of moments (probability theory); Computer science; Electromagnetic field; Mathematics; Physics; Mathematical analysis; Telecommunications; Statistics; Classical mechanics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000200316,0.000095027,0.0001239705,0.00004034836,0.0000405501,0.0001086089,0.0002487446,0.00003546316,0.007832939],"category_scores_gemma":[0.00003494055,0.00006785353,0.00002813123,0.0002862542,0.00002001445,0.0001685982,0.00001836969,0.00009510996,0.004476313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002592082,"about_ca_system_score_gemma":0.00002005194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001295851,"about_ca_topic_score_gemma":0.00005953394,"domain_scores_codex":[0.9990598,0.00008872282,0.0001348539,0.0003181685,0.0001769742,0.0002214734],"domain_scores_gemma":[0.9993518,0.0002748489,0.00001404595,0.0002684641,0.000006941241,0.00008393016],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001594503,0.00002391924,0.00009751363,0.00001610292,0.00003275346,0.00003542534,0.00005842137,0.0004622808,0.04005436,0.0002459602,0.03816675,0.9207906],"study_design_scores_gemma":[0.0001216873,0.0003008781,0.0166997,0.00002459932,0.00003672214,0.000005268321,0.000002506298,0.7888561,0.001222229,0.0990293,0.09347733,0.0002236045],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9735991,0.003838312,0.004540277,0.003773894,0.000290005,0.0001863369,0.0004346024,0.0001848117,0.0131527],"genre_scores_gemma":[0.871393,0.00003767978,0.1059649,0.0005718709,0.0007532554,0.000003202834,0.00366387,0.00000802027,0.01760416],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.920567,"threshold_uncertainty_score":0.9962988,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02099853119613505,"score_gpt":0.2596507745974283,"score_spread":0.2386522434012933,"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."}}