{"id":"W2468889346","doi":"10.1007/s10518-015-9832-0","title":"Probabilistic methods for the estimation of seismic Fa and Fv maps—application to Montreal","year":2015,"lang":"en","type":"article","venue":"Bulletin of Earthquake Engineering","topic":"Seismic Performance and Analysis","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Seismic microzonation; Hydrogeology; Probabilistic logic; Geology; Seismology; Statistics; Geotechnical engineering; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003702346,0.00009559431,0.0001714165,0.00007507198,0.00001602633,0.000008158053,0.00008484061,0.00003093926,0.000003782137],"category_scores_gemma":[0.0001550291,0.00008103099,0.00004143837,0.0001261665,0.0000135311,0.000019615,0.00001657049,0.00004847076,0.00000422761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001459604,"about_ca_system_score_gemma":0.000007004958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008694537,"about_ca_topic_score_gemma":0.000003091102,"domain_scores_codex":[0.9994819,0.000007395289,0.0002208296,0.00009532213,0.00007445111,0.0001201352],"domain_scores_gemma":[0.99951,0.0001830044,0.00003283083,0.0001669495,0.00005333145,0.00005385324],"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":[0.000005360129,0.000003871355,0.00001165202,0.0001066981,0.00002581617,3.70886e-8,0.0001868569,0.8532478,0.000609522,0.00007466522,0.0004156451,0.1453121],"study_design_scores_gemma":[0.000181448,0.00003022914,0.001703578,0.00003072767,0.00004431172,0.000001768534,0.00004955623,0.9718783,0.001844736,0.00008887568,0.02406328,0.00008315448],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1826963,0.0004895424,0.8161273,0.0002044193,0.00005834903,0.0002604968,0.000007864267,0.00005667558,0.00009903272],"genre_scores_gemma":[0.93264,0.00002472021,0.06713132,0.00001835481,0.0000377047,0.00008372714,0.000007648169,0.00001732396,0.00003915818],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7499437,"threshold_uncertainty_score":0.3304348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01096150678584927,"score_gpt":0.2473068038276469,"score_spread":0.2363452970417976,"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."}}