{"id":"W2757362726","doi":"10.1093/gji/ggx407","title":"Constraining the magnitude of the largest event in a foreshock–main shock–aftershock sequence","year":2017,"lang":"en","type":"article","venue":"Geophysical Journal International","topic":"earthquake and tectonic studies","field":"Earth and Planetary Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Aftershock; Foreshock; Magnitude (astronomy); Seismology; Shock (circulatory); Sequence (biology); Geology; Event (particle physics); Maximum magnitude; Bayesian probability; Statistics; Induced seismicity; 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":[0.001472119,0.0003200998,0.0003328599,0.001325976,0.0002043578,0.0005612725,0.0003654283,0.0002873273,0.001025049],"category_scores_gemma":[0.005180226,0.0002533703,0.0002689878,0.0007687283,0.0003796628,0.0005439568,0.000514177,0.0004009783,0.0001545047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002997401,"about_ca_system_score_gemma":0.0006976473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002652396,"about_ca_topic_score_gemma":0.003804603,"domain_scores_codex":[0.9996808,0.00009437709,0.00002390705,0.0001005504,0.00006555315,0.00003479347],"domain_scores_gemma":[0.9965324,0.002402428,0.0005672108,0.0001789601,0.0001939805,0.0001249052],"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":[0.0005211403,0.0001489306,0.1930068,0.0001331082,0.0001838901,0.0007895403,0.0003244595,0.5919467,0.01964901,0.02386367,0.00114835,0.1682844],"study_design_scores_gemma":[0.00001549981,0.00007619208,0.06688773,0.00002300871,0.00002690347,0.0002001884,0.00007122332,0.9157765,0.003622979,0.01243083,0.0008409164,0.00002810193],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6796573,0.0001934624,0.3177826,0.00009584228,0.00001382995,0.00003636934,0.0004643482,0.000162082,0.001594189],"genre_scores_gemma":[0.9735847,0.00008843781,0.02504684,0.00001181395,0.00002142826,0.00001370038,0.0008120624,0.00002071114,0.0004002385],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002652396,"threshold_uncertainty_score":0.00778538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03130009378519227,"score_gpt":0.2776527578722951,"score_spread":0.2463526640871028,"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."}}