{"id":"W4385689440","doi":"10.1007/978-3-031-36974-2_9","title":"Binaural Beamforming","year":2023,"lang":"en","type":"book-chapter","venue":"Springer topics in signal processing","topic":"Speech and Audio Processing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut National de la Recherche Scientifique; Université du Québec à Montréal","funders":"","keywords":"Binaural recording; Beamforming; Monaural; Speech recognition; Computer science; Intelligibility (philosophy); Acoustics; Telecommunications; Physics; Philosophy","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004252074,0.0004593056,0.0004837018,0.0005609387,0.0002389372,0.0005659178,0.001259714,0.0003828014,0.00003742705],"category_scores_gemma":[0.00002695639,0.0004729194,0.000142308,0.00026657,0.00008774547,0.000804648,0.0006445934,0.0009523739,0.0001732724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001896842,"about_ca_system_score_gemma":0.0003637683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000662103,"about_ca_topic_score_gemma":0.00001712169,"domain_scores_codex":[0.9973167,0.00001083826,0.0006084819,0.000852899,0.0005752534,0.0006358634],"domain_scores_gemma":[0.9989191,0.00005553535,0.0003389317,0.000440769,0.0001216039,0.000124022],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000004518321,0.00001501154,0.0001291455,0.0004286929,0.00001705748,0.0003161491,0.0004840036,0.0001057712,0.0003012562,0.03744024,0.0001227329,0.9606354],"study_design_scores_gemma":[0.00128177,0.0002007662,0.0003155862,0.01025355,0.00006989938,0.0001448536,0.00008181918,0.01965195,0.0198138,0.7647792,0.1793808,0.004026092],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003200113,0.003381502,0.196777,0.001315405,0.001206222,0.0004078719,0.000003632729,0.001317943,0.7952704],"genre_scores_gemma":[0.02126415,0.0002425202,0.1290997,0.0008773801,0.002363038,0.00003649818,0.00001529924,0.0002816199,0.8458198],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9566093,"threshold_uncertainty_score":0.9997723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03389838589381251,"score_gpt":0.2592472347005534,"score_spread":0.2253488488067409,"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."}}