{"id":"W2436856893","doi":"10.1103/physreve.94.022314","title":"Self-similar aftershock rates","year":2016,"lang":"en","type":"article","venue":"Physical review. E","topic":"earthquake and tectonic studies","field":"Earth and Planetary Sciences","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Università degli Studi di Padova; Alexander von Humboldt-Stiftung","keywords":"Aftershock; Foreshock; Seismology; Induced seismicity; Geology; Seismic hazard; Event (particle physics); Exponent; Hazard; Power law; Econometrics; Statistics; Mathematics; Physics","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":[0.0007159325,0.0001774892,0.0002850395,0.0006888059,0.0002018573,0.0006190697,0.0006700656,0.0006728381,0.001648288],"category_scores_gemma":[0.003791332,0.0001762184,0.0004783789,0.0002882042,0.0005887561,0.001316636,0.0004478189,0.0003590519,0.0003451635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003994088,"about_ca_system_score_gemma":0.000174835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006763299,"about_ca_topic_score_gemma":0.0004935003,"domain_scores_codex":[0.9998018,0.00003026102,0.0000168834,0.00007712506,0.00004907911,0.0000247971],"domain_scores_gemma":[0.9983929,0.0004942855,0.0005014889,0.0003127021,0.0002193313,0.0000791737],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001385832,0.0001378419,0.1297197,0.0006184039,0.0004155214,0.001226604,0.001751911,0.3535338,0.03382286,0.3780875,0.003283604,0.09726367],"study_design_scores_gemma":[0.00002951887,0.0001922487,0.09991749,0.00007378912,0.0001348379,0.001993113,0.0003962038,0.620594,0.005432394,0.2646114,0.006524592,0.0001005449],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7727584,0.001086399,0.2116408,0.0004621244,0.0000718439,0.00009638819,0.0003509897,0.000443905,0.0130891],"genre_scores_gemma":[0.9938446,0.0003096473,0.003662478,0.00006057141,0.000023088,0.0000298472,0.0001390663,0.0000196194,0.001911187],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001648288,"threshold_uncertainty_score":0.005514026,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01770947106916326,"score_gpt":0.2772434777830836,"score_spread":0.2595340067139203,"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."}}