{"id":"W4309152188","doi":"10.1061/9780784484449.030","title":"Telecommunication Performance during Puebla Earthquake M7.1, 19 September 2017","year":2022,"lang":"en","type":"article","venue":"Lifelines 2022","topic":"Earthquake Detection and Analysis","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Amgen (Canada)","funders":"","keywords":"Epicenter; Mexico city; Magnitude (astronomy); Seismology; Geology; History","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":[0.0002771272,0.0003180747,0.0002574057,0.000506383,0.001675363,0.00106489,0.0002633849,0.000462433,0.003941901],"category_scores_gemma":[0.00234638,0.00009758318,0.00007978881,0.0005263631,0.0002540704,0.0006153704,0.0009254395,0.00069299,0.001510405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000932246,"about_ca_system_score_gemma":0.0005895627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02075211,"about_ca_topic_score_gemma":0.02792057,"domain_scores_codex":[0.9997128,0.00003207755,0.00001247117,0.00003758186,0.00008860823,0.0001163915],"domain_scores_gemma":[0.9993338,0.00008227384,0.00006132105,0.00002313395,0.0003619044,0.0001374489],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002261043,0.001293303,0.7086279,0.0003997233,0.0001132571,0.007508989,0.01024034,0.005481855,0.01601966,0.001115776,0.1069848,0.1399534],"study_design_scores_gemma":[0.00005698295,0.0007304636,0.9538993,0.00009097561,0.00003997759,0.0006721072,0.01177454,0.003931076,0.002225249,0.0002128592,0.02633262,0.00003363184],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.987232,0.000194361,0.0001287567,0.0006359523,0.0001099067,0.0000337013,0.001117385,0.0001111457,0.01043674],"genre_scores_gemma":[0.99547,0.0001703938,0.0000966537,0.00007109772,0.00008621065,0.00003028608,0.00218847,0.00001791431,0.001869001],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02075211,"threshold_uncertainty_score":0.04126263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01520357626470472,"score_gpt":0.2174619155782737,"score_spread":0.2022583393135689,"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."}}