{"id":"W2126630964","doi":"10.1260/0957456001498020","title":"Optimum Acoustical Conditions for Speech Intelligibility in Classrooms","year":2000,"lang":"en","type":"article","venue":"Noise & Vibration Worldwide","topic":"Acoustic Wave Phenomena Research","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Reverberation; Intelligibility (philosophy); Acoustics; Speech recognition; Computer science; Mathematics; 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":[0.002131548,0.000565387,0.001114527,0.001020066,0.0009463436,0.00172571,0.000432887,0.001009642,0.002822189],"category_scores_gemma":[0.01031719,0.0004232678,0.0004537583,0.0003021838,0.0007968575,0.001093529,0.001273764,0.0004492176,0.001749325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003278846,"about_ca_system_score_gemma":0.0008500767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008541751,"about_ca_topic_score_gemma":0.001263057,"domain_scores_codex":[0.9976143,0.0008140918,0.0002794571,0.0002929076,0.0006277249,0.0003715643],"domain_scores_gemma":[0.9938477,0.00263072,0.0008245342,0.0003129003,0.001762208,0.0006218695],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.007534446,0.0007563506,0.03392277,0.0009862349,0.00007795099,0.001505492,0.004366739,0.007393972,0.8732464,0.001973836,0.001225853,0.06700991],"study_design_scores_gemma":[0.0004939568,0.00703895,0.1885345,0.0003360617,0.0003712598,0.00325266,0.009433751,0.01130656,0.768309,0.00498076,0.005619854,0.0003226192],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9700393,0.0008146793,0.02508587,0.0001224092,0.00003247975,0.00009853356,0.0001515403,0.0004746882,0.003180543],"genre_scores_gemma":[0.9910207,0.0002457002,0.007967115,0.00003360042,0.00002025112,0.00008305436,0.0001021836,0.00007919133,0.0004481671],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002822189,"threshold_uncertainty_score":0.01127285,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01677613502558961,"score_gpt":0.2832588095177953,"score_spread":0.2664826744922057,"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."}}