{"id":"W2624469385","doi":"10.1121/1.4987368","title":"Sound environment and sound field reproduction using transducer arrays: Correlation between physical and perceptual evaluations","year":2017,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Hearing Loss and Rehabilitation","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Active listening; Acoustics; Perception; Metric (unit); Microphone; Sound quality; Sound (geography); Similarity (geometry); Computer science; Sound recording and reproduction; Magnitude (astronomy); Field (mathematics); Reproduction; Loudspeaker; Mathematics; Speech recognition; Artificial intelligence; Physics; Psychology; Communication; Engineering","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":[0.003555611,0.0004229106,0.0002921255,0.001203821,0.0001508315,0.0008654403,0.0002929033,0.0006169463,0.001445776],"category_scores_gemma":[0.03132525,0.0001863052,0.0003383858,0.0004512538,0.0006967301,0.0009650168,0.001210831,0.0003059305,0.0003304065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001981188,"about_ca_system_score_gemma":0.0001820176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006081968,"about_ca_topic_score_gemma":0.000793636,"domain_scores_codex":[0.996209,0.0008775241,0.0004516383,0.0004168474,0.00189671,0.0001483186],"domain_scores_gemma":[0.9765594,0.01286959,0.003676599,0.001239579,0.004822738,0.0008321297],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00421778,0.0007906061,0.6976686,0.000770053,0.0004890168,0.00112065,0.004020868,0.01436867,0.1159645,0.0005554463,0.0007540009,0.1592798],"study_design_scores_gemma":[0.00002593293,0.003219779,0.9508044,0.00006101982,0.000150666,0.001694825,0.002116503,0.02036153,0.0198739,0.0005182319,0.00106415,0.0001090722],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9869559,0.000311971,0.01023172,0.00002967909,0.00001957818,0.00006561513,0.00008555918,0.00005195205,0.00224812],"genre_scores_gemma":[0.9970482,0.00008569334,0.00238687,0.00001322532,0.000006874659,0.00001590496,0.00007863677,0.00001662498,0.0003479771],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003555611,"threshold_uncertainty_score":0.01880407,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06325228667343205,"score_gpt":0.3329550612655169,"score_spread":0.2697027745920849,"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."}}