{"id":"W4292070449","doi":"10.1109/newcas52662.2022.9842008","title":"Passive Localization Algorithm using a Highly Integrated Acoustic Sensor Array","year":2022,"lang":"en","type":"article","venue":"2022 20th IEEE Interregional NEWCAS Conference (NEWCAS)","topic":"Underwater Vehicles and Communication Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Computer science; MATLAB; Algorithm; Controller (irrigation); Underwater; System on a chip; Chip; Real-time computing; Algorithm design; Computer hardware; Embedded system","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000228282,0.0004553784,0.0004690716,0.0003394313,0.0004788014,0.0001947487,0.0008030779,0.0001355522,0.002074894],"category_scores_gemma":[0.000009000571,0.0004761819,0.0001871517,0.0006820877,0.0001207048,0.0002891542,0.000191827,0.0007803072,0.0002544037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006582165,"about_ca_system_score_gemma":0.0002393582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004405231,"about_ca_topic_score_gemma":0.0001088256,"domain_scores_codex":[0.9972113,0.0003283969,0.0007323859,0.0005053901,0.000677402,0.0005451174],"domain_scores_gemma":[0.9985276,0.0001161606,0.0002138937,0.0006302831,0.0003052869,0.0002068108],"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":[0.0002596837,0.0005926946,0.0003079809,0.0002723662,0.001082579,0.0003981477,0.007775619,0.5516142,0.3093324,0.001079989,0.03151223,0.09577208],"study_design_scores_gemma":[0.0007337246,0.0001472813,0.0000270134,0.0001364638,0.00006993862,0.0004890626,0.003422998,0.8606811,0.007518174,0.0003597475,0.1257034,0.0007111226],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03826453,0.00027023,0.9565679,0.0005325994,0.001358406,0.0005715677,0.0002064381,0.0008612758,0.001367],"genre_scores_gemma":[0.9934412,0.00006012964,0.003179323,0.0003346708,0.000231522,0.0002063145,0.0001967235,0.0001326842,0.002217418],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9551767,"threshold_uncertainty_score":0.999769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04595331688307583,"score_gpt":0.2545713485875291,"score_spread":0.2086180317044532,"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."}}