{"id":"W3200945465","doi":"10.1109/sas51076.2021.9530145","title":"Gunshot Sound Measurement and Analysis","year":2021,"lang":"en","type":"article","venue":"","topic":"Gait Recognition and Analysis","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Ministère de la Défense Nationale","keywords":"Short-time Fourier transform; Spectrogram; Computer science; Aliasing; Speech recognition; Rendering (computer graphics); Impulse response; Acoustics; Artificial intelligence; Audio signal; Wavelet; Computer vision; Time–frequency analysis; Fourier transform; Fourier analysis; Speech coding; Mathematics; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000369251,0.0004971742,0.0006461266,0.001980628,0.0003605404,0.0004736847,0.0005791486,0.0006950871,0.003801584],"category_scores_gemma":[0.0008888528,0.000218644,0.0003444449,0.001081945,0.0002692408,0.0003712189,0.0007495025,0.000500577,0.001408748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001450493,"about_ca_system_score_gemma":0.0003523074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00123211,"about_ca_topic_score_gemma":0.002499338,"domain_scores_codex":[0.9993735,0.00003077622,0.00003815797,0.0001137566,0.0003937481,0.00005016048],"domain_scores_gemma":[0.9993466,0.00007556062,0.00004962636,0.00005356364,0.0004330968,0.00004164998],"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":[0.000380665,0.0001989636,0.03518258,0.0008399707,0.00007035601,0.000807649,0.0007246226,0.003007298,0.6962049,0.0006583716,0.002220348,0.2597041],"study_design_scores_gemma":[0.0000888135,0.001827456,0.3689565,0.0002868737,0.0002093903,0.003752257,0.001916891,0.05046542,0.5397287,0.0014645,0.03102816,0.0002752055],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6625965,0.001123053,0.317375,0.0001217046,0.000240388,0.001618549,0.004662317,0.001800425,0.01046208],"genre_scores_gemma":[0.794625,0.001614226,0.1890143,0.0002870849,0.0001102971,0.001495787,0.003679972,0.0002455941,0.008927727],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003801584,"threshold_uncertainty_score":0.01271755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02976304096219544,"score_gpt":0.2089979037200696,"score_spread":0.1792348627578741,"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."}}