{"id":"W4214743292","doi":"10.1250/ast.43.131","title":"Spaced A-B placements of higher-order Ambisonics microphone arrays: Techniques for recording and balancing direct and ambient sound","year":2022,"lang":"en","type":"article","venue":"Nippon Onkyo Gakkaishi/Acoustical science and technology/Nihon Onkyo Gakkaishi","topic":"Hearing Loss and Rehabilitation","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Ambisonics; Computer science; Acoustics; Loudspeaker; Microphone; Rendering (computer graphics); Sound recording and reproduction; Surround sound; Binaural recording; Reverberation; Sound (geography); Ambient noise level; Speech recognition; Computer graphics (images); Physics","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":[0.0006478609,0.0007013291,0.0004480597,0.0007032355,0.0003602791,0.0007953266,0.0007266966,0.0008556458,0.003420324],"category_scores_gemma":[0.00178521,0.0005290794,0.0003169599,0.0005715915,0.0005153514,0.0009036225,0.0009179023,0.0005649097,0.001525013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001776179,"about_ca_system_score_gemma":0.0002999416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002696986,"about_ca_topic_score_gemma":0.0005688252,"domain_scores_codex":[0.9991797,0.0002084941,0.0000816512,0.0002114448,0.0002663183,0.00005231276],"domain_scores_gemma":[0.9985952,0.0005442463,0.0002423123,0.0002726314,0.0002399149,0.0001057555],"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":[0.0003104973,0.00009273237,0.0007474322,0.0001847622,0.00001769055,0.000150885,0.000225988,0.001109542,0.86919,0.001506281,0.0003368146,0.1261273],"study_design_scores_gemma":[0.0001844795,0.002293564,0.00961972,0.00008179346,0.0001009196,0.00258461,0.0003888685,0.02732345,0.9331956,0.002241805,0.02181157,0.0001737732],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1632413,0.001170148,0.8263084,0.0001569233,0.0002882089,0.0002203014,0.0001070871,0.00137624,0.007131475],"genre_scores_gemma":[0.348622,0.0004521101,0.6459818,0.0001336919,0.0001000503,0.0001358938,0.00005944674,0.0001539527,0.004361063],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003420324,"threshold_uncertainty_score":0.01144212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01879384628200198,"score_gpt":0.2842807978174324,"score_spread":0.2654869515354304,"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."}}