{"id":"W2612669494","doi":"","title":"Statistical Seismology and Induced Seismicity","year":2014,"lang":"en","type":"article","venue":"AGU Fall Meeting Abstracts","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Induced seismicity; Seismology; Geology; Microseism","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":[0.001645964,0.0004096661,0.0003551536,0.002286438,0.000243288,0.001063001,0.0005066523,0.0003796302,0.003171558],"category_scores_gemma":[0.01363126,0.0003134831,0.0003344989,0.002549817,0.001471047,0.001726066,0.00089634,0.0008632631,0.0004303743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005990198,"about_ca_system_score_gemma":0.0008432114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001268651,"about_ca_topic_score_gemma":0.001214998,"domain_scores_codex":[0.999438,0.0002319416,0.00003423512,0.00008344525,0.0001545343,0.00005786631],"domain_scores_gemma":[0.9948264,0.003074298,0.0007426253,0.0005468357,0.0006052544,0.0002045913],"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":[0.0001891753,0.0001421647,0.03939829,0.0001898505,0.0001007634,0.0004296312,0.0003835532,0.1665452,0.01433223,0.6897565,0.00393148,0.0846013],"study_design_scores_gemma":[0.0000298369,0.0001158602,0.05398699,0.00002899569,0.00003264858,0.0004159571,0.0002206219,0.4882231,0.003589302,0.4487208,0.0045877,0.00004830299],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4430155,0.001387771,0.5335229,0.001898586,0.0002113906,0.00003936337,0.0008883257,0.001075214,0.01796099],"genre_scores_gemma":[0.9850917,0.0007519951,0.008515133,0.00005362177,0.0002270912,0.00003168815,0.0005678848,0.000156704,0.00460406],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003171558,"threshold_uncertainty_score":0.01060992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01748893784089835,"score_gpt":0.2320096732064895,"score_spread":0.2145207353655912,"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."}}