{"id":"W3074649438","doi":"10.1080/14432471.2020.1800399","title":"Seismic window: Artificial intelligence finds faults","year":2020,"lang":"en","type":"article","venue":"Preview","topic":"Seismology and Earthquake Studies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Window (computing); Artificial intelligence; Computer science; Head (geology); Geology; Paleontology; World Wide Web","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005561599,0.0007155833,0.0003838092,0.002027801,0.0005400834,0.003082715,0.0007113147,0.0009736593,0.0693931],"category_scores_gemma":[0.003332213,0.0002928262,0.0003778983,0.002245788,0.0005258647,0.003138186,0.001207834,0.0009281886,0.018942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002441634,"about_ca_system_score_gemma":0.0003955889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001734774,"about_ca_topic_score_gemma":0.003809994,"domain_scores_codex":[0.9997992,0.00002588076,0.00001088675,0.00006118856,0.00008375083,0.00001914915],"domain_scores_gemma":[0.9993703,0.000311192,0.00005553724,0.00007316416,0.0001050205,0.00008479408],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002542043,0.00002944604,0.003803164,0.0004537612,0.00004753794,0.0003426697,0.0006041236,0.00139959,0.002871333,0.01915155,0.5823449,0.3886977],"study_design_scores_gemma":[0.0000583861,0.000062958,0.008063059,0.0002211363,0.0000511881,0.0005852333,0.0009677318,0.01149056,0.002715873,0.04334494,0.9323938,0.00004513515],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05963183,0.02908174,0.3011466,0.03852587,0.01328261,0.0002989112,0.09850162,0.09790634,0.3616245],"genre_scores_gemma":[0.3691764,0.02011403,0.2863049,0.005301686,0.009578395,0.0002822226,0.07119189,0.0114567,0.2265937],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0693931,"threshold_uncertainty_score":0.232143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0777516613048555,"score_gpt":0.2880564159162855,"score_spread":0.21030475461143,"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."}}