{"id":"W4393572751","doi":"10.21203/rs.3.rs-4170647/v1","title":"Integrated high-resolution electrical tomography and drilling cascading investigation of earth-rock dam leakage in a siltstone region: A case study of the Maoshan Reservoir, China","year":2024,"lang":"en","type":"preprint","venue":"Research Square","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Natural Science Foundation of China; China Railway","keywords":"Siltstone; Drilling; Geology; Petroleum engineering; Leakage (economics); China; High resolution; Geotechnical engineering; Mining engineering; Petrology; Geomorphology; Remote sensing; Engineering; Facies; Archaeology; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003010692,0.0003534498,0.0002423232,0.0009913401,0.0004199709,0.0003742071,0.0004327862,0.0005059193,0.000312871],"category_scores_gemma":[0.0004334647,0.0002105779,0.0003520017,0.00115039,0.0003813525,0.0004180287,0.0004489006,0.0001814534,0.00004632846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005608706,"about_ca_system_score_gemma":0.0006622943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0200477,"about_ca_topic_score_gemma":0.03992692,"domain_scores_codex":[0.9998479,0.00002084725,0.00001306211,0.00003214822,0.000055141,0.00003076517],"domain_scores_gemma":[0.9997463,0.00005450215,0.00006828328,0.00002577747,0.00007007243,0.00003512325],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000237954,0.0003854868,0.7895166,0.0002758552,0.0001999296,0.03456875,0.003357254,0.04618423,0.07323066,0.0007297688,0.0005915425,0.05072194],"study_design_scores_gemma":[0.00002969437,0.0002840766,0.7851815,0.00004224859,0.0001771245,0.003586406,0.00448068,0.1894644,0.01493382,0.0004257023,0.001317878,0.00007646803],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983242,0.00003334143,0.001252149,0.0000335888,0.000001406661,0.00001276304,0.00005943599,0.00001745037,0.0002656577],"genre_scores_gemma":[0.9981494,0.00004781815,0.001522936,0.000006348692,0.000002469404,0.000006283632,0.00005803576,0.000002763197,0.0002039375],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0200477,"threshold_uncertainty_score":0.03986204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05849316310806203,"score_gpt":0.3275514673587435,"score_spread":0.2690583042506815,"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."}}