{"id":"W3171097846","doi":"10.5194/egusphere-egu21-13056","title":"Using 2D long-streamer seismic waveform tomography to decipher sedimentary processes surrounding a forearc fault offshore Alaska","year":2021,"lang":"en","type":"article","venue":"","topic":"Seismology and Earthquake Studies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Forearc; Geology; Seismology; Submarine pipeline; Amplitude; Waveform; Fault (geology); Reflection (computer programming); Tectonics; Inversion (geology); Geophysics; Subduction; Voltage; Computer science; Electrical engineering; Optics; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001924675,0.0002562906,0.0002931099,0.0001931754,0.0003808255,0.0001617877,0.0004541328,0.0000917543,0.0001063392],"category_scores_gemma":[0.0000656303,0.0002178644,0.0001185111,0.001498101,0.00009066183,0.0006230084,0.0005166109,0.0001587167,0.0000549475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005022962,"about_ca_system_score_gemma":0.0002153639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002571807,"about_ca_topic_score_gemma":0.0004524781,"domain_scores_codex":[0.9980902,0.00005195943,0.0002770153,0.000648295,0.0003265482,0.0006059589],"domain_scores_gemma":[0.9988843,0.0001443529,0.00004306257,0.0004687441,0.0002919217,0.000167686],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001028246,0.0007732594,0.8175804,0.0004067185,0.001388124,0.001491401,0.01533498,0.004959132,0.0008217977,0.003539768,0.02022964,0.1333719],"study_design_scores_gemma":[0.006078967,0.001912435,0.4470229,0.001619914,0.0006702055,0.004677413,0.02350474,0.1033019,0.2828881,0.02239046,0.09878451,0.0071485],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7332596,0.0006796133,0.259276,0.002302616,0.0005187948,0.0001848122,0.000004053285,0.0001859961,0.003588503],"genre_scores_gemma":[0.9534063,0.00003578754,0.0393733,0.006014631,0.0001136826,0.00001967681,0.00001041358,0.00001642245,0.001009746],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3705576,"threshold_uncertainty_score":0.8884252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03255886105367069,"score_gpt":0.280564530798608,"score_spread":0.2480056697449373,"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."}}