{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004133413,0.0001364807,0.0001661222,0.000178481,0.001244034,0.00006047636,0.0003812866,0.00003318177,0.01886198],"category_scores_gemma":[0.00003355549,0.000134211,0.0001195784,0.0006210965,0.00003872671,0.0002132784,0.00007336993,0.0003618178,0.0009572575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001004146,"about_ca_system_score_gemma":0.00004708644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004641656,"about_ca_topic_score_gemma":0.001903157,"domain_scores_codex":[0.998553,0.0001962786,0.0002962306,0.0002781078,0.0004007784,0.0002756506],"domain_scores_gemma":[0.9991883,0.00006349292,0.0001310548,0.0004568911,0.00003641656,0.0001238427],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001005338,0.00006156614,0.7859254,0.00004044702,0.00007262953,0.00002450926,0.0003601584,0.1245768,0.0002959505,0.000004806702,0.01318066,0.07535652],"study_design_scores_gemma":[0.0002921206,0.00007081143,0.6809308,0.000003305379,0.00001980504,0.00007529534,0.0003704554,0.03429028,0.0001036148,0.00001514335,0.2836145,0.0002138367],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9901201,0.0007555173,0.00001392345,0.0005493211,0.0004247903,0.0001052003,0.00007407576,0.0001166076,0.00784043],"genre_scores_gemma":[0.9813889,0.0002783329,0.0001722507,0.0004512596,0.0003992238,0.00001042359,0.0003211861,0.000006186409,0.01697225],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2704338,"threshold_uncertainty_score":0.9998206,"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."}}