{"id":"W3011125402","doi":"","title":"Real-Time Integration of Positioning and Accelerometer Data for Early Earthquake Warning on Canada's West Coast","year":2017,"lang":"en","type":"article","venue":"AGUFM","topic":"Seismology and Earthquake Studies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Accelerometer; Warning system; Seismology; Geology; West coast; Remote sensing; Geodesy; Computer science; Oceanography; Telecommunications","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":[],"consensus_categories":[],"category_scores_codex":[0.0002023667,0.00007815348,0.0001346504,0.0000337353,0.0005147206,0.0001006264,0.0005641734,0.00003472944,0.000004085002],"category_scores_gemma":[0.0001634586,0.00006909637,0.00001420343,0.00002844762,0.00006592801,0.0004079399,0.0002886688,0.00006484736,0.000004190843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008354574,"about_ca_system_score_gemma":0.00005895895,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1440885,"about_ca_topic_score_gemma":0.0851644,"domain_scores_codex":[0.9993643,0.00002519681,0.0001200588,0.0002508227,0.00009622837,0.0001433527],"domain_scores_gemma":[0.9989163,0.000156385,0.0001318002,0.0007018239,0.00006088066,0.00003275464],"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":[0.000269595,0.0001614027,0.07259192,0.0001148442,0.000497447,0.00007922648,0.006891184,0.0002359472,0.01663272,0.02501045,0.01965806,0.8578572],"study_design_scores_gemma":[0.0003303608,0.0002161526,0.9852028,0.00006637051,0.00001291689,0.000007221274,0.00003365935,0.01147585,0.001302356,0.0003381372,0.0008933663,0.0001208282],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990649,0.00001998201,0.006396865,0.001547211,0.0001943244,0.0001008615,0.00004398333,0.00001970156,0.001028009],"genre_scores_gemma":[0.9934043,0.00001467891,0.006161671,0.000113055,0.00004315296,0.000004920761,0.00002845191,0.00000411055,0.0002256186],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9126109,"threshold_uncertainty_score":0.931529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04313637052959998,"score_gpt":0.2767579693812179,"score_spread":0.2336215988516179,"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."}}