{"id":"W7084160043","doi":"10.1109/sas65169.2025.11105170","title":"Two-Step Microphone Array Fusion Algorithm for Enhanced Indoor Sound Source Localization","year":2025,"lang":"en","type":"article","venue":"","topic":"Erosion and Abrasive Machining","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Microphone; Multilateration; Acoustic source localization; Microphone array; Artificial neural network; Fusion; Impulse (physics); Sound localization","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":[0.0008055496,0.001081705,0.0008072954,0.000838865,0.0003458592,0.0005931281,0.001173256,0.0008618613,0.002827498],"category_scores_gemma":[0.002152486,0.0004252718,0.0007986089,0.0006967935,0.0003462875,0.001109379,0.001521157,0.001321125,0.0015026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003739262,"about_ca_system_score_gemma":0.0008604656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00185569,"about_ca_topic_score_gemma":0.002955568,"domain_scores_codex":[0.9992952,0.00009809543,0.00004089148,0.000133484,0.0003673101,0.0000650642],"domain_scores_gemma":[0.999353,0.0001835033,0.00006126996,0.00007774199,0.0002922196,0.00003231965],"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":[0.0004332217,0.0001400392,0.001263263,0.0001872964,0.0001227413,0.000179721,0.0002356508,0.1325489,0.08397028,0.003816893,0.003598989,0.7735031],"study_design_scores_gemma":[0.00003826794,0.0001416615,0.0008989361,0.00001744486,0.00003493372,0.0002339117,0.00003994429,0.9583419,0.03369342,0.00197595,0.004545633,0.00003802913],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004265863,0.0001062226,0.9939204,0.00003794162,0.00003760484,0.00002311779,0.00002782725,0.0008512862,0.0007296294],"genre_scores_gemma":[0.1575061,0.0001927291,0.838951,0.0001446972,0.00005706163,0.000130001,0.0002303605,0.0001439953,0.002644138],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002827498,"threshold_uncertainty_score":0.009458899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0066096918521061,"score_gpt":0.2522947970285996,"score_spread":0.2456851051764935,"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."}}