{"id":"W4252650849","doi":"10.2523/79847-ms","title":"Application of Real-Time Resistivity and Annular Pressure Data in Reducing Lost-Circulation Events","year":2003,"lang":"en","type":"article","venue":"Proceedings of SPE/IADC Drilling Conference","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"ConocoPhillips (Canada)","funders":"ConocoPhillips","keywords":"Citation; Computer science; Drilling; Haystack; Circulation (fluid dynamics); World Wide Web; Geology; Information retrieval; Engineering","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":[0.0007877715,0.0001056399,0.0002104155,0.0001294063,0.00004621776,0.00002163292,0.0002499228,0.00007035762,0.00006461885],"category_scores_gemma":[0.0002370478,0.0001047187,0.00001481226,0.0002171855,0.00009176261,0.0004958946,0.00002685219,0.00009864481,0.000005693402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003663003,"about_ca_system_score_gemma":0.00003913545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002844044,"about_ca_topic_score_gemma":0.000007433874,"domain_scores_codex":[0.9989589,0.00001455779,0.0002901038,0.0003628225,0.0002227147,0.0001508953],"domain_scores_gemma":[0.9992889,0.00005498391,0.0002609239,0.000166154,0.0001830208,0.00004604445],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003078512,0.0000256272,0.9535223,0.0002592291,0.00001156894,2.304617e-7,0.0003016845,0.0001446606,0.02143262,0.0006855124,0.0001634745,0.02342234],"study_design_scores_gemma":[0.0003291104,0.00007725755,0.5331407,0.00053049,0.0000495454,0.000007969133,0.0002342704,0.409035,0.04415635,0.01055723,0.001594197,0.0002879384],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9893427,0.0002153846,0.00105011,0.0001588263,0.0000288837,0.0002589902,0.00004905412,0.00003506409,0.008860941],"genre_scores_gemma":[0.9923389,0.0003738395,0.007146744,0.00001257558,0.00001302198,7.072687e-7,0.00003994577,0.000003433926,0.00007081121],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4203816,"threshold_uncertainty_score":0.4299362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02307944760803035,"score_gpt":0.2407500476175016,"score_spread":0.2176706000094712,"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."}}