{"id":"W2769191662","doi":"10.1145/3148675.3148719","title":"Entropy Minimization Based Synchronization Algorithm for Underwater Acoustic Receivers","year":2017,"lang":"en","type":"article","venue":"","topic":"Underwater Vehicles and Communication Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Intersymbol interference; Underwater; Computer science; Underwater acoustic communication; Entropy (arrow of time); Minification; Algorithm; Synchronizer; Synchronization (alternating current); Constellation diagram; Decoding methods; Telecommunications; Bit error rate","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":[0.00006922225,0.00009514668,0.00009682273,0.00004187373,0.0002771088,0.0001954499,0.0002570864,0.00006386563,0.00008402623],"category_scores_gemma":[0.000003778085,0.00008796006,0.00003932606,0.00002471225,0.00002330676,0.0002004618,0.00001984753,0.00003576073,0.00003125132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007644235,"about_ca_system_score_gemma":0.00001301295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002096189,"about_ca_topic_score_gemma":0.00002411999,"domain_scores_codex":[0.9994962,0.00001397146,0.0001555971,0.0001069186,0.00008182271,0.0001454518],"domain_scores_gemma":[0.9993696,0.00002948846,0.00004800254,0.000436943,0.00007479707,0.000041189],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000230707,0.0001038527,0.001319949,0.0003457642,0.0002120769,0.000002098337,0.0005310408,0.3119315,0.02930251,0.0005864829,0.008245623,0.647396],"study_design_scores_gemma":[0.0005479816,0.00001725389,0.0001345032,0.00001818088,0.00001563687,6.547069e-7,0.00005414254,0.9736706,0.009939911,0.0001324191,0.01534542,0.0001233207],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0007360046,0.00002249024,0.9969373,0.0002188338,0.0001436388,0.0002556286,0.00001015802,0.0002141215,0.001461796],"genre_scores_gemma":[0.9382334,0.00002716756,0.06067131,0.00004969607,0.00007237118,0.00004814701,0.00007642359,0.00002861664,0.0007928445],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9374974,"threshold_uncertainty_score":0.3586907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01813943122070207,"score_gpt":0.2348386696692543,"score_spread":0.2166992384485522,"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."}}