{"id":"W2782649093","doi":"10.3390/drones2010004","title":"Acoustic Detection of a Fixed-Wing UAV","year":2018,"lang":"en","type":"article","venue":"Drones","topic":"Target Tracking and Data Fusion in Sensor Networks","field":"Computer Science","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Wing; Propeller; Collision avoidance; Fixed wing; Acoustics; Computer science; Collision; Harmonic; Aerospace engineering; Physics; Engineering; Marine engineering","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":[0.0001193057,0.00005996797,0.00008274542,0.00005564581,0.0001027743,0.00003535974,0.0003092488,0.00004229631,0.00002456816],"category_scores_gemma":[0.00004030176,0.0000538029,0.00002828156,0.0002186718,0.0000559143,0.0001808659,0.0001073307,0.00005687858,0.00007087993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007580062,"about_ca_system_score_gemma":0.000009991144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000308281,"about_ca_topic_score_gemma":0.00002393488,"domain_scores_codex":[0.9993966,0.00002491882,0.0001321111,0.0001762333,0.0001314286,0.0001386901],"domain_scores_gemma":[0.9994289,0.00006828339,0.00005726419,0.000345325,0.00006742216,0.0000327551],"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":[0.0000338582,0.0001422139,0.001757967,0.00006371955,0.00003756092,0.00001764034,0.002673405,0.001417033,0.3642958,0.008278181,0.005253547,0.6160291],"study_design_scores_gemma":[0.0007258691,0.000625078,0.02452871,0.0001873061,0.00003130451,0.0000930166,0.0001682627,0.6402837,0.287718,0.006455556,0.03857879,0.0006043783],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1607758,0.00006675693,0.8369845,0.0000599258,0.001042228,0.00003672039,0.000001748095,0.0001420661,0.0008902313],"genre_scores_gemma":[0.9899709,0.000007543427,0.009603879,0.00005567695,0.0002537096,0.000001875314,0.000001070549,0.000004509154,0.0001008605],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.829195,"threshold_uncertainty_score":0.2194019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01209219570280529,"score_gpt":0.2338070725266109,"score_spread":0.2217148768238056,"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."}}