{"id":"W1524755703","doi":"","title":"Use of FEM/BEM to improve handsfree telephone audio quality","year":2001,"lang":"en","type":"article","venue":"Canadian acoustics","topic":"Acoustic Wave Phenomena Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mitel (Canada)","funders":"","keywords":"Finite element method; Boundary element method; Acoustics; Computer science; Telecommunications; Engineering; Structural engineering; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002460048,0.0002038363,0.0002972354,0.0003387052,0.00007098028,0.00005950629,0.00032897,0.000136444,0.0002348226],"category_scores_gemma":[0.0006538792,0.000231509,0.00005299838,0.0005480405,0.00007669492,0.0001005384,0.00005340582,0.0002717451,0.0001523761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007677065,"about_ca_system_score_gemma":0.0003599845,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03034776,"about_ca_topic_score_gemma":0.02702069,"domain_scores_codex":[0.9982581,0.00002466125,0.0003676403,0.0002336109,0.0003163462,0.000799669],"domain_scores_gemma":[0.9978614,0.0001812006,0.00003155344,0.0006282541,0.0002090078,0.001088583],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004472003,0.0000496353,0.003823922,0.0003683013,0.0002027775,0.0002615513,0.0008165942,0.2339204,0.6288241,0.0004589936,0.1075559,0.02367315],"study_design_scores_gemma":[0.002995697,0.0007459635,0.3478937,0.0002903015,0.0003107938,0.00009496236,0.001779661,0.5227105,0.01431398,0.001998862,0.1028481,0.004017497],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9112322,0.0001187729,0.08180096,0.0002759552,0.0007007864,0.0004955945,0.0007913598,0.0001552781,0.004429101],"genre_scores_gemma":[0.9925237,0.0000512896,0.004872882,0.0002231614,0.0002252379,0.00001800596,0.000018674,0.00007150033,0.001995521],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6145101,"threshold_uncertainty_score":0.9907336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04873240293814261,"score_gpt":0.2657393498589226,"score_spread":0.2170069469207799,"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."}}