{"id":"W2010686212","doi":"10.2118/166131-ms","title":"Propagation Measurements for Acoustic Downhole Telemetry Systems","year":2013,"lang":"en","type":"article","venue":"SPE Annual Technical Conference and Exhibition","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"University of California, San Diego; University of Jordan; Texas A and M University; University of Utah","keywords":"Acoustics; Attenuation; Harmonics; Acoustic attenuation; SIGNAL (programming language); Acoustic wave; Engineering; Computer science; Physics; Electrical engineering; Optics","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":[0.0001364623,0.0001211725,0.0001330099,0.00006253989,0.00005177115,0.00008529183,0.00005497175,0.0001052559,0.00002127451],"category_scores_gemma":[0.00003720925,0.0001123844,0.00002350112,0.00008351832,0.00002227998,0.0002595171,0.00001219115,0.0001035013,0.00003485807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003336023,"about_ca_system_score_gemma":0.000007814845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000190476,"about_ca_topic_score_gemma":0.000002822176,"domain_scores_codex":[0.999322,0.000007245311,0.0001898746,0.0001501318,0.000126946,0.0002038314],"domain_scores_gemma":[0.999646,0.00002345534,0.00001956998,0.0001012208,0.0001387945,0.00007097852],"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":[0.00001738425,0.00006972351,0.0002329052,0.001281095,0.00005811678,0.000002305416,0.0001759721,0.1175735,0.8318682,0.003650309,0.01471781,0.03035265],"study_design_scores_gemma":[0.0009479774,0.0003351753,0.002323182,0.0006234332,0.00007186747,0.00003729477,0.0004202464,0.9572483,0.03191942,0.002806364,0.002421011,0.0008456957],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1187769,0.0002908272,0.874668,0.00008528009,0.0003465219,0.001001489,0.00004333859,0.0008534123,0.003934222],"genre_scores_gemma":[0.9987903,0.00004345734,0.0007519228,0.000009615619,0.000110259,0.0001770516,0.00003801348,0.00001899889,0.0000604173],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8800134,"threshold_uncertainty_score":0.4582902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02434094224845314,"score_gpt":0.2282361413623903,"score_spread":0.2038951991139371,"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."}}