{"id":"W3086252326","doi":"10.1109/lcomm.2020.3023967","title":"Wideband Modeling of the Mud-Pulse Communications Channel","year":2020,"lang":"en","type":"article","venue":"IEEE Communications Letters","topic":"Acoustic Wave Resonator Technologies","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Drill string; Attenuation; Computer science; Wideband; Channel (broadcasting); Wireless; Pulse (music); Electronic engineering; Transmission (telecommunications); Acoustics; Electrical engineering; Telecommunications; Engineering; Drill; Physics; Optics; Detector; Mechanical engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001521498,0.0004646351,0.0003907577,0.0002997629,0.0002396432,0.0006001359,0.0007265595,0.0008912099,0.00196331],"category_scores_gemma":[0.0004638154,0.000244453,0.0003435791,0.00029393,0.0003100135,0.0008522134,0.0003425623,0.0005440867,0.001089296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005459049,"about_ca_system_score_gemma":0.0004858006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003225471,"about_ca_topic_score_gemma":0.001951064,"domain_scores_codex":[0.9998522,0.00002714539,0.00000406321,0.00002718835,0.00006391239,0.00002547303],"domain_scores_gemma":[0.9998767,0.00004933507,0.00001661438,0.0000138235,0.00003706062,0.000006482695],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004698417,0.00001954157,0.0003143454,0.0000494441,0.00001526219,0.0001382267,0.00007316898,0.9565514,0.01056528,0.02202327,0.0005780522,0.009625011],"study_design_scores_gemma":[0.000002524411,0.0000130252,0.00007321034,0.000003803809,0.00000386012,0.00002698909,0.000005749028,0.9968303,0.0007426961,0.001513249,0.0007802187,0.000004397142],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04338304,0.0003779999,0.9350161,0.0001982311,0.00006347508,0.00004161599,0.0002709984,0.0005603284,0.02008826],"genre_scores_gemma":[0.9286113,0.0009561364,0.04472691,0.0001258951,0.00007299367,0.0001348589,0.0002927518,0.0001410502,0.02493803],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003225471,"threshold_uncertainty_score":0.006567955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05399171435333028,"score_gpt":0.2475693083187544,"score_spread":0.1935775939654241,"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."}}