{"id":"W2949616247","doi":"10.1063/1.5090387","title":"PageRank: An alarming index of probable earthquake occurrence","year":2019,"lang":"en","type":"article","venue":"Chaos An Interdisciplinary Journal of Nonlinear Science","topic":"Seismology and Earthquake Studies","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"PageRank; Event (particle physics); Seismology; Hazard; Seismic hazard; Index (typography); Geology; Probabilistic logic; Computer science; Geography; Physics; Artificial intelligence; Information retrieval","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00219067,0.0002107585,0.0004515301,0.0005077985,0.0004534527,0.0001417716,0.00277679,0.00007492413,0.00004332316],"category_scores_gemma":[0.00007457354,0.0001668479,0.0001374647,0.00101703,0.0007514055,0.003869735,0.001229894,0.0004286918,0.00003670906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003695087,"about_ca_system_score_gemma":0.0004881737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003575547,"about_ca_topic_score_gemma":0.00001142672,"domain_scores_codex":[0.9974343,0.0001104736,0.0007202926,0.0004999961,0.0007396449,0.0004953546],"domain_scores_gemma":[0.9974759,0.00009233422,0.0006382045,0.0007559637,0.0007680911,0.0002695473],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0009553545,0.00435276,0.3752312,0.0004142273,0.0002799077,0.0008764612,0.09159129,0.01719556,0.05586343,0.009175037,0.0006809267,0.4433838],"study_design_scores_gemma":[0.004259215,0.01967283,0.5418983,0.001520396,0.00007534907,0.005064093,0.01190899,0.3642135,0.0311289,0.01605416,0.002174377,0.002029926],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9757648,0.0001743394,0.02150901,0.0005072604,0.001446518,0.0001416756,0.000005609749,0.00002646528,0.0004243966],"genre_scores_gemma":[0.9795903,0.0000191463,0.02006673,0.0001097797,0.000144639,0.000001348328,0.000001013056,0.000006322798,0.00006070939],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4413539,"threshold_uncertainty_score":0.6803859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0199500207887719,"score_gpt":0.311417683082109,"score_spread":0.2914676622933371,"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."}}