{"id":"W4396832141","doi":"10.1029/2024jb028735","title":"Next Generation Seismic Source Detection by Computer Vision: Untangling the Complexity of the 2016 Kaikōura Earthquake Sequence","year":2024,"lang":"en","type":"article","venue":"Journal of Geophysical Research Solid Earth","topic":"Seismology and Earthquake Studies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Ocean Networks Canada Society; University of Victoria; Geological Survey of Canada","funders":"Natural Resources Canada; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; University of Victoria","keywords":"Sequence (biology); Seismology; Geology; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003590333,0.0003871252,0.0002746795,0.002618124,0.0002263588,0.0006915188,0.0003609978,0.0002946269,0.0005911435],"category_scores_gemma":[0.0009654334,0.0001602843,0.0003545012,0.001041275,0.0002885531,0.0005299725,0.0005871229,0.0004014766,0.00024319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003592224,"about_ca_system_score_gemma":0.0005601464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008770159,"about_ca_topic_score_gemma":0.01711014,"domain_scores_codex":[0.9998459,0.00001715036,0.000008526932,0.00004627171,0.00004871902,0.00003336407],"domain_scores_gemma":[0.9995704,0.0001135307,0.00006701818,0.00006112535,0.0001378077,0.00005012938],"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":[0.0005168468,0.0002452178,0.05358357,0.0001187882,0.00009169064,0.0004557796,0.0005592765,0.06805015,0.1449941,0.002660866,0.003974474,0.7247492],"study_design_scores_gemma":[0.00002065644,0.00009481711,0.07168545,0.00001502924,0.00004547952,0.0001901051,0.0002718493,0.8871749,0.03468982,0.00278647,0.002991207,0.00003430127],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7827983,0.0003020763,0.2110128,0.0004186523,0.00006351716,0.00006508883,0.0004239718,0.001428467,0.003487145],"genre_scores_gemma":[0.8281986,0.0001163232,0.1701302,0.00004886893,0.00002472905,0.00001657923,0.00067467,0.00006237336,0.0007277214],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008770159,"threshold_uncertainty_score":0.01743823,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1080189033870915,"score_gpt":0.3497990614838729,"score_spread":0.2417801580967814,"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."}}