{"id":"W2737961440","doi":"","title":"A new methodology for Earthquake Early Warning (EEW) by a high-dense seismic network","year":2017,"lang":"en","type":"article","venue":"Japan Geoscience Union","topic":"Seismology and Earthquake Studies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Cybernet Systems Corporation (Canada)","funders":"","keywords":"Seismology; Earthquake warning system; Geology; Warning system; Earthquake prediction; Computer science; Telecommunications","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":[0.001639583,0.0008268389,0.0007047713,0.002327278,0.0006909102,0.001071107,0.00120863,0.0007386697,0.001755076],"category_scores_gemma":[0.005380184,0.0003914582,0.0006195377,0.001797294,0.0004074791,0.001833203,0.00193899,0.0007975442,0.0004089539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004647306,"about_ca_system_score_gemma":0.001714952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00484397,"about_ca_topic_score_gemma":0.005710938,"domain_scores_codex":[0.9989267,0.0002872183,0.00009197242,0.0002815282,0.0003317808,0.00008079576],"domain_scores_gemma":[0.9978612,0.0008256811,0.0002246637,0.0002223979,0.0007305442,0.0001354796],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002815732,0.0002302618,0.01649839,0.0002244189,0.0002381818,0.0002536341,0.0002731059,0.1648569,0.02496898,0.02843525,0.004749406,0.7589899],"study_design_scores_gemma":[0.00003106347,0.00006515845,0.00208831,0.0000109801,0.00004713299,0.0001033863,0.00004969361,0.9840539,0.002738589,0.007779957,0.003004674,0.00002715247],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.009743214,0.0000912787,0.9891529,0.00006336183,0.00005327749,0.00006744915,0.0001285297,0.0002480749,0.0004519447],"genre_scores_gemma":[0.199217,0.000197334,0.7971433,0.00007256216,0.0001486899,0.000310941,0.0007871513,0.00006952581,0.002053553],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00484397,"threshold_uncertainty_score":0.009631574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03874789712854172,"score_gpt":0.2825508676342914,"score_spread":0.2438029705057497,"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."}}