{"id":"W3217286936","doi":"10.1109/ucomms50339.2021.9598150","title":"Channel Quality Prediction for Adaptive Underwater Acoustic Communication","year":2021,"lang":"en","type":"article","venue":"","topic":"Underwater Vehicles and Communication Systems","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Channel (broadcasting); Computer science; Bathymetry; Underwater; Hidden Markov model; Markov process; Simulation; Telecommunications; Geology; Speech recognition; Mathematics; Statistics","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":[0.0007159591,0.000545762,0.0005574461,0.0004098417,0.000282108,0.0005355403,0.000943894,0.0004774129,0.0009402189],"category_scores_gemma":[0.003569388,0.0003271985,0.0003067755,0.000385917,0.0005205797,0.0007512999,0.0006043055,0.0009922581,0.0002173638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001048239,"about_ca_system_score_gemma":0.001102885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01660038,"about_ca_topic_score_gemma":0.01326653,"domain_scores_codex":[0.9995726,0.0000903625,0.00002018963,0.0001210305,0.0001327016,0.00006319224],"domain_scores_gemma":[0.9983495,0.0008358614,0.0002709265,0.0001183023,0.0003569782,0.00006836263],"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":[0.00002732153,0.00002090884,0.0009964784,0.00001425978,0.00001347819,0.0000154383,0.00001459156,0.9812045,0.001138295,0.001071903,0.0002996072,0.01518311],"study_design_scores_gemma":[0.000001259973,0.000005388165,0.0001527093,0.000001012359,0.000001409232,0.000002069897,0.000001927517,0.9992691,0.0001666453,0.0003471781,0.00004939447,0.000001928194],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04482124,0.0001751861,0.9529395,0.0001734519,0.00005176626,0.0000358781,0.00009941561,0.0005457932,0.001157827],"genre_scores_gemma":[0.9656671,0.0001439281,0.03241635,0.00005462114,0.0000311414,0.00005355681,0.000197646,0.00004312811,0.001392455],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01660038,"threshold_uncertainty_score":0.0330075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0564999518127849,"score_gpt":0.2670073794861606,"score_spread":0.2105074276733757,"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."}}