{"id":"W2590257840","doi":"10.1785/0220160187","title":"Improving the Hawaiian Seismic Network for Earthquake Early Warning","year":2017,"lang":"en","type":"article","venue":"Seismological Research Letters","topic":"Seismology and Earthquake Studies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Gordon and Betty Moore Foundation","keywords":"Citation; Geological survey; Observatory; History; Library science; Geology; Archaeology; Computer science; Paleontology; Astronomy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.005044789,0.0002377582,0.0003071091,0.00009023933,0.006939439,0.001018401,0.003685953,0.0001788476,0.00001138314],"category_scores_gemma":[0.002828914,0.0001514406,0.0002012332,0.000224921,0.001465951,0.0005142711,0.001643061,0.001152305,0.0001508182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004774809,"about_ca_system_score_gemma":0.00008306804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007667402,"about_ca_topic_score_gemma":0.00001554809,"domain_scores_codex":[0.9959184,0.0006477628,0.0002908205,0.0008141811,0.0006133987,0.001715463],"domain_scores_gemma":[0.995339,0.002462673,0.0001735845,0.001633112,0.0002108962,0.0001807783],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002892621,0.0001206109,0.04035798,0.0000666679,0.0003104498,0.0006209284,0.002554168,0.00423423,0.001294914,0.110306,0.1017598,0.738085],"study_design_scores_gemma":[0.001296852,0.001002867,0.685867,0.00006316173,0.00001872428,0.00007025903,0.0001683603,0.04538191,0.0002781681,0.04806841,0.2171035,0.0006807673],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4629667,0.0002079114,0.3781403,0.1565099,0.0007914996,0.0006655857,0.000003199955,0.0001533859,0.0005614923],"genre_scores_gemma":[0.9746705,0.00002064317,0.009528196,0.01391697,0.0008118231,0.0002011785,0.000002249203,0.00001600923,0.000832435],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7374043,"threshold_uncertainty_score":0.9943534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09104745203028637,"score_gpt":0.3395327405769458,"score_spread":0.2484852885466595,"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."}}