{"id":"W2624340718","doi":"10.1121/1.4988587","title":"Transmission of side-scan sonar snippets from an underway unmanned underwater vehicle","year":2017,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Underwater Vehicles and Communication Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Sonar; Underwater; Computer science; Unmanned underwater vehicle; Vector quantization; Quantization (signal processing); Artificial intelligence; Computer vision; Side-scan sonar; Marine engineering; Transmitter; Geology; Telecommunications; Engineering; Oceanography","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":[0.0002438124,0.0003589559,0.000263013,0.0003604857,0.000192807,0.0003010764,0.000335521,0.0003410995,0.002252754],"category_scores_gemma":[0.0009844013,0.0001435629,0.0001521733,0.000343511,0.0002450454,0.0004445691,0.0004655911,0.0003705974,0.0005580604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002343949,"about_ca_system_score_gemma":0.0003822345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00133547,"about_ca_topic_score_gemma":0.001751113,"domain_scores_codex":[0.9997761,0.00001401375,0.00000830537,0.00002071174,0.0001580162,0.00002285442],"domain_scores_gemma":[0.999589,0.00009936096,0.00003679569,0.00007527539,0.0001831819,0.00001640422],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007349615,0.0001055941,0.002175669,0.0001840829,0.00004265101,0.0007079822,0.0004983448,0.03722725,0.376912,0.004112408,0.003802479,0.5734966],"study_design_scores_gemma":[0.00005803194,0.001052576,0.005690174,0.00005604964,0.00003786228,0.001245474,0.000393181,0.3701118,0.6013893,0.001596583,0.01829895,0.00007007349],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4394498,0.0003566268,0.5477146,0.0003731448,0.0003569603,0.0003170661,0.0008083089,0.001413956,0.009209486],"genre_scores_gemma":[0.7240049,0.0004045523,0.2579515,0.00009163492,0.00008093342,0.0001387399,0.0009296834,0.0001642279,0.01623385],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002252754,"threshold_uncertainty_score":0.007536232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01926124971584445,"score_gpt":0.2516632931094608,"score_spread":0.2324020433936163,"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."}}