{"id":"W3083411377","doi":"","title":"A comparison between three automated earthquake detection methods for seismic zones in Canada","year":2019,"lang":"en","type":"article","venue":"AGU Fall Meeting Abstracts","topic":"Seismology and Earthquake Studies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Geology; Seismology","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":[0.0010695,0.0001997347,0.00042657,0.0001168562,0.0001642774,0.00005073884,0.0004203988,0.0001146091,5.722608e-7],"category_scores_gemma":[0.0002809332,0.0001990055,0.000057544,0.0002900907,0.00002535122,0.0001952452,0.0001104634,0.00025785,0.00003393834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001268504,"about_ca_system_score_gemma":0.0002959268,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8216253,"about_ca_topic_score_gemma":0.941687,"domain_scores_codex":[0.9981982,0.0001496511,0.0005037309,0.0004616564,0.0001639304,0.0005228859],"domain_scores_gemma":[0.9978302,0.001436552,0.0002343679,0.0003392206,0.00008211713,0.00007754629],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001806275,0.00002854601,0.7664807,0.00006459531,0.00007177815,0.00000959215,0.0005525493,0.0374884,0.0001942221,0.00007807159,0.0001979307,0.1948155],"study_design_scores_gemma":[0.0003638225,0.00007348049,0.7964802,0.00004916931,0.000009850627,0.000005236131,0.00009142111,0.1993202,0.001500537,0.0005822592,0.001325832,0.000198005],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.934184,0.0001924081,0.06297062,0.0006152091,0.0008252567,0.0003595118,0.000002511919,0.0002851568,0.0005653069],"genre_scores_gemma":[0.9418691,0.000002453576,0.05779373,0.0002091724,0.00005454742,0.00002630125,0.000004174442,0.00001216257,0.00002839057],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1946175,"threshold_uncertainty_score":0.8115207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03181834236275256,"score_gpt":0.3096813976313441,"score_spread":0.2778630552685915,"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."}}