{"id":"W1807883810","doi":"10.1139/juvs-2015-0029","title":"Detection of continuous ground-based acoustic sources via unmanned aerial vehicles","year":2015,"lang":"en","type":"article","venue":"Journal of Unmanned Vehicle Systems","topic":"Speech and Audio Processing","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Acoustics; Autopilot; Ranging; Noise (video); Attenuation; Ambient noise level; SIGNAL (programming language); Acoustic attenuation; Noise reduction; Computer science; Remote sensing; Physics; Geology; Engineering; Sound (geography); Aerospace engineering; Telecommunications; Artificial intelligence; Optics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0002093549,0.0003272288,0.0002637463,0.0004227407,0.0001728873,0.0002755514,0.0002968755,0.0003176484,0.0004024062],"category_scores_gemma":[0.0007404499,0.0001098866,0.0001189192,0.0001583841,0.0002812865,0.0004747416,0.000424818,0.000215239,0.00009967069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001475782,"about_ca_system_score_gemma":0.0001690782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007415232,"about_ca_topic_score_gemma":0.001268147,"domain_scores_codex":[0.9997208,0.00004894678,0.000008071926,0.00005890942,0.0001221324,0.00004114396],"domain_scores_gemma":[0.9994453,0.0002811969,0.00008875153,0.00002939815,0.0001158163,0.0000395952],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00115468,0.0001742898,0.01749721,0.0002605385,0.00009116709,0.0007288386,0.0008637773,0.02155926,0.7927204,0.0006606629,0.0003255572,0.1639636],"study_design_scores_gemma":[0.0001262816,0.005093944,0.0633776,0.0000500878,0.0001522968,0.001153156,0.001040251,0.1809282,0.7421322,0.001231495,0.004635902,0.00007872961],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9671698,0.0001665962,0.03174187,0.00002422275,0.00001849855,0.00002317073,0.00002947243,0.0001343261,0.0006921506],"genre_scores_gemma":[0.9889891,0.00006492605,0.01041818,0.00001296747,0.00000609673,0.00001309478,0.00003290826,0.000008100559,0.0004547041],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007415232,"threshold_uncertainty_score":0.00147444,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0184685885625137,"score_gpt":0.2356094663509406,"score_spread":0.2171408777884269,"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."}}