{"id":"W1973537447","doi":"10.1121/1.2535571","title":"Measurement and prediction of speech and noise levels and the Lombard effect in eating establishments","year":2007,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Noise Effects and Management","field":"Health Professions","cited_by":84,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Casual; Noise (video); Intelligibility (philosophy); Noise level; Audiology; Computer science; Mathematics; Acoustics; Statistics; Econometrics; Hearing loss; Medicine; Artificial intelligence; 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":[0.001169582,0.000540088,0.0003431817,0.0004092049,0.0003903677,0.0005240259,0.0005606926,0.0006695202,0.0005185864],"category_scores_gemma":[0.004861109,0.0004741012,0.0002544384,0.0002742778,0.0004172637,0.0004957753,0.000605207,0.0005948177,0.0002764179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007410743,"about_ca_system_score_gemma":0.0007499676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01779885,"about_ca_topic_score_gemma":0.02755431,"domain_scores_codex":[0.9993895,0.000164288,0.00003018869,0.0001442856,0.0001923513,0.00007933176],"domain_scores_gemma":[0.9984477,0.0008396985,0.0002710264,0.0001123199,0.0002019462,0.0001272737],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001172713,0.001369462,0.5741507,0.0002198402,0.0001064057,0.0003998461,0.001992141,0.2295388,0.09445065,0.0004808723,0.0004759738,0.09564256],"study_design_scores_gemma":[0.00004499521,0.001289242,0.5041724,0.00003109263,0.00006201556,0.0001707934,0.0009529719,0.4745091,0.01799723,0.0002989053,0.0003992552,0.00007198954],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.972729,0.00002736613,0.02667839,0.00002321229,0.000003199536,0.00004523229,0.00006912602,0.00008468262,0.0003396869],"genre_scores_gemma":[0.982232,0.00003855663,0.01711162,0.000006757044,0.000002072272,0.00003563829,0.000117952,0.000009458682,0.0004459215],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01779885,"threshold_uncertainty_score":0.0353905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02885327885145874,"score_gpt":0.3311857191282759,"score_spread":0.3023324402768172,"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."}}