{"id":"W2163635869","doi":"10.1193/022213eqs046m","title":"Telecommunication Systems’ Performance: Christchurch Earthquakes","year":2014,"lang":"en","type":"article","venue":"Earthquake Spectra","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Amgen (Canada)","funders":"","keywords":"Landline; Telecommunications; Engineering; Computer science; Phone","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":[0.0003155801,0.0001948928,0.0001258417,0.0006008043,0.0006589291,0.0007620186,0.0003194335,0.0004324185,0.002708994],"category_scores_gemma":[0.002442436,0.00008975283,0.00008183219,0.001199319,0.0003885405,0.0006896526,0.0005816505,0.000504124,0.0008045944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001746838,"about_ca_system_score_gemma":0.0003637338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08578565,"about_ca_topic_score_gemma":0.09358122,"domain_scores_codex":[0.9995148,0.00005238129,0.00003091826,0.00006259045,0.0001908106,0.0001486313],"domain_scores_gemma":[0.9980556,0.0002796786,0.0003962929,0.00009891841,0.0008593988,0.0003101256],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001063289,0.000391758,0.8560828,0.0002241661,0.0001514584,0.002845478,0.007477461,0.01842696,0.02543736,0.001454421,0.01364812,0.07279675],"study_design_scores_gemma":[0.000005379471,0.0003568759,0.9871278,0.00001061557,0.00001384901,0.0003336774,0.003163918,0.003463206,0.003300679,0.00004524872,0.002157316,0.00002132048],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957705,0.00004484373,0.00004758192,0.0001545527,0.000004823842,0.000006906961,0.0003481058,0.00001260795,0.003610106],"genre_scores_gemma":[0.9986468,0.00004352686,0.00002889138,0.00001520635,0.000004502736,0.000001566725,0.0003645516,0.000002669776,0.0008923176],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08578565,"threshold_uncertainty_score":0.1705726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01655430692985334,"score_gpt":0.2452154516657838,"score_spread":0.2286611447359304,"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."}}