{"id":"W2188329465","doi":"10.4133/sageep.28-044","title":"APPLICATION OF AN INNOVATIVE AEM SYSTEM FOR MAPPING HAZARDS AND WATER RESOURCES IN OIL AND GAS FIELDS","year":2015,"lang":"en","type":"article","venue":"Symposium on the Application of Geophysics to Engineering and Environmental Problems 2015","topic":"Advanced Computational Techniques and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mira Geoscience (Canada)","funders":"Northwestern University","keywords":"Petroleum engineering; Fossil fuel; Water resources; Environmental science; Computer science; Geology; Waste management; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002099954,0.00009189242,0.0001138994,0.00005661543,0.00003698195,0.00001593252,0.0001485874,0.00003309724,2.852099e-8],"category_scores_gemma":[0.000001949589,0.00007221702,0.000009317117,0.0001207406,0.00003435048,0.0001026539,0.0001025407,0.00005090882,6.082183e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002953704,"about_ca_system_score_gemma":0.000003845206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003054032,"about_ca_topic_score_gemma":4.793909e-7,"domain_scores_codex":[0.9993886,0.000009603089,0.0001868561,0.0002200876,0.000104253,0.00009055295],"domain_scores_gemma":[0.9995937,0.00004202009,0.00007199345,0.0002196737,0.00002414387,0.00004845135],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002843353,0.0001604922,0.0001098917,0.0003176019,0.00002274656,1.029887e-7,0.006491056,0.2006302,0.491848,0.1363334,0.00001433732,0.1640438],"study_design_scores_gemma":[0.00036373,0.0002553946,0.0006388678,0.00006138523,0.000005171908,0.000004443054,0.000240663,0.9436475,0.03502768,0.01598404,0.003567593,0.0002035258],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3455182,0.00002359871,0.6530443,0.00104944,0.00000643627,0.0002768941,0.000009057584,0.00002770628,0.00004431206],"genre_scores_gemma":[0.9794908,0.0000148123,0.01997356,0.00003381453,0.00001521774,0.0004381189,0.00001513559,0.000008388188,0.00001018141],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7430173,"threshold_uncertainty_score":0.2944925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00796159347460708,"score_gpt":0.2096322525725604,"score_spread":0.2016706590979533,"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."}}