{"id":"W3094110234","doi":"10.1029/2020gl089342","title":"Using a Large‐<i>n</i> Seismic Array to Explore the Robustness of Spectral Estimations","year":2020,"lang":"en","type":"article","venue":"Geophysical Research Letters","topic":"earthquake and tectonic studies","field":"Earth and Planetary Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Deutsche Forschungsgemeinschaft","keywords":"Seismic moment; Geology; Seismology; Scaling; Spectral line; Physics; Mathematics; Geometry","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":[0.001757358,0.0002318508,0.000202103,0.0003748971,0.0002414116,0.0005025999,0.0003070863,0.0003401277,0.0006265742],"category_scores_gemma":[0.01049628,0.0001604904,0.0001979149,0.0004277799,0.0002489464,0.0004942919,0.0003962315,0.0002445469,0.0001502952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002269715,"about_ca_system_score_gemma":0.0002153527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005166167,"about_ca_topic_score_gemma":0.00574587,"domain_scores_codex":[0.9991428,0.0003605669,0.00005225294,0.0002695818,0.0001223956,0.0000523234],"domain_scores_gemma":[0.9928155,0.004661549,0.0006239132,0.001280926,0.0005467452,0.00007125561],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001249666,0.0001944085,0.4096529,0.0001813758,0.0007700893,0.0002925788,0.000507996,0.2608998,0.1457824,0.002818563,0.001138383,0.176512],"study_design_scores_gemma":[0.00006976249,0.0005064376,0.335708,0.00004639089,0.0002177513,0.000421422,0.0003467363,0.6052483,0.0526807,0.001837817,0.002820693,0.00009599198],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8895028,0.0001138703,0.1076466,0.0001560786,0.00003315534,0.0000251994,0.0004055025,0.0002354601,0.0018813],"genre_scores_gemma":[0.9798543,0.00002660216,0.01966622,0.00002932461,0.00001003128,0.00001174836,0.0002156075,0.00001874058,0.0001674156],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005166167,"threshold_uncertainty_score":0.0102722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1538539230319206,"score_gpt":0.3362844622801319,"score_spread":0.1824305392482114,"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."}}