{"id":"W4405541538","doi":"10.1785/0220240219","title":"NaNDC: Full Moment Tensor Inversion and Uncertainty Analysis for Large-<i>N</i> Monitored Small Earthquakes","year":2024,"lang":"en","type":"article","venue":"Seismological Research Letters","topic":"Seismic Waves and Analysis","field":"Earth and Planetary Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Amplitude; Geology; Geophone; Seismogram; Seismology; Moment tensor; Inversion (geology); Robustness (evolution); Nonlinear system; Geodesy; Physics; Optics; Tectonics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008959937,0.0006829154,0.0003996266,0.0006505611,0.0004018237,0.0006307767,0.001050022,0.0004491484,0.001195667],"category_scores_gemma":[0.004500967,0.0002880918,0.0004478432,0.0004253861,0.0004673031,0.0005664547,0.001172012,0.0007189881,0.0001915005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004878246,"about_ca_system_score_gemma":0.001512483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02311186,"about_ca_topic_score_gemma":0.02268623,"domain_scores_codex":[0.999743,0.00005608434,0.00001490574,0.0000429294,0.0001109434,0.00003203138],"domain_scores_gemma":[0.9985939,0.0006355671,0.0001277168,0.00017753,0.0003823513,0.00008289187],"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":[0.0001934001,0.00008169498,0.008641327,0.00008601991,0.00006767478,0.0001974711,0.0001058685,0.8863242,0.01136896,0.003686213,0.001560749,0.08768641],"study_design_scores_gemma":[0.000006545979,0.000006928803,0.0005306333,0.000001738627,0.000001746977,0.000007931005,0.00000801355,0.9980357,0.0008974416,0.0003307576,0.0001674615,0.000005091343],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.307187,0.0001545845,0.6860404,0.0003224872,0.00004613351,0.0000989954,0.0008884254,0.002019321,0.003242656],"genre_scores_gemma":[0.7913446,0.00004958544,0.2064443,0.00006043166,0.00002588662,0.00006310268,0.001186902,0.0001576411,0.0006675225],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02311186,"threshold_uncertainty_score":0.04595464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06564114451024522,"score_gpt":0.3072859001576329,"score_spread":0.2416447556473877,"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."}}