{"id":"W4388536899","doi":"10.1007/s00024-023-03366-z","title":"Systematic Uncertainty Quantification of First-Polarity-Based Moment Tensor Inversion Due to Sparse Coverage of Sensor Arrays in Laboratory Acoustic Emission Monitoring","year":2023,"lang":"en","type":"article","venue":"Pure and Applied Geophysics","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Acoustic emission; Acoustics; Moment tensor; Inversion (geology); Isotropy; Amplitude; Sensor array; Robustness (evolution); Waveform; Polarity (international relations); Computer science; Geology; Physics; Mathematics; Optics; Seismology; Chemistry; Statistics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001410978,0.0005486094,0.000351717,0.0004894844,0.0002958231,0.0006744591,0.0004370073,0.0004342274,0.0003807358],"category_scores_gemma":[0.008093259,0.0003319311,0.0002988857,0.0005738859,0.0005775127,0.001010402,0.0009712799,0.0006151388,0.0001235476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000355789,"about_ca_system_score_gemma":0.0006308883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00112627,"about_ca_topic_score_gemma":0.00173835,"domain_scores_codex":[0.9991089,0.0003067687,0.00003688163,0.000160124,0.0003115446,0.00007578944],"domain_scores_gemma":[0.9966858,0.002087721,0.0004223975,0.0003301607,0.0004249114,0.00004910541],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009015168,0.0001807963,0.03850322,0.0005395173,0.0004313488,0.0003568366,0.0003592788,0.4542774,0.278318,0.01709411,0.001585903,0.2074522],"study_design_scores_gemma":[0.0000125018,0.00007239523,0.02165238,0.00003803648,0.00008950205,0.0001793006,0.00005435272,0.9122183,0.057566,0.006974074,0.001097598,0.00004562184],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3568606,0.001037131,0.6384545,0.0003363349,0.00006828854,0.00003172501,0.0004423427,0.0004064522,0.002362624],"genre_scores_gemma":[0.9606392,0.0003131728,0.03815547,0.00005374362,0.00004209102,0.00002411818,0.0003677557,0.00008935612,0.0003150685],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001410978,"threshold_uncertainty_score":0.007462025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01468075150820555,"score_gpt":0.2181975342276158,"score_spread":0.2035167827194102,"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."}}