{"id":"W3004441836","doi":"10.5880/fidgeo.2019.024","title":"BEAT - Bayesian Earthquake Analysis Tool","year":2019,"lang":"en","type":"article","venue":"Open MIND","topic":"Seismology and Earthquake Studies","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Bayesian probability; Geology; Computer science; Seismology; Artificial intelligence","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":[0.001467514,0.001178096,0.001187247,0.002749615,0.0005143231,0.002161235,0.002016974,0.001273326,0.08527764],"category_scores_gemma":[0.007133989,0.0009550442,0.0009477148,0.001595699,0.0002731143,0.001538296,0.002002578,0.001368304,0.0304498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005154666,"about_ca_system_score_gemma":0.001441898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004179067,"about_ca_topic_score_gemma":0.006273349,"domain_scores_codex":[0.9993649,0.0001022594,0.00005046694,0.0001174428,0.0003081156,0.00005677366],"domain_scores_gemma":[0.9987456,0.0005598883,0.0001097811,0.0001539038,0.0003681536,0.00006277215],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005241227,0.0001552664,0.005614797,0.0008940606,0.0003740091,0.0004304633,0.0002752423,0.08827657,0.006703098,0.04510197,0.398561,0.4530894],"study_design_scores_gemma":[0.0002115385,0.00005744892,0.00271108,0.0001661302,0.00009798793,0.0004800328,0.00008092655,0.6878551,0.005520225,0.08193535,0.2207572,0.0001269057],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.0035442,0.000338282,0.8477789,0.0002787564,0.0001432902,0.0001536194,0.02327889,0.113006,0.01147795],"genre_scores_gemma":[0.08512996,0.0006807802,0.7938301,0.00058634,0.0002591667,0.0009302709,0.06249306,0.03354238,0.02254803],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.08527764,"threshold_uncertainty_score":0.2852821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02013466666826937,"score_gpt":0.2702551721977596,"score_spread":0.2501205055294903,"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."}}