{"id":"W2081568820","doi":"10.1121/1.4806234","title":"Prediction of the effectiveness of a sound-masking system in an open-plan office including the Lombard Effect","year":2013,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Facilities and Workplace Management","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Masking (illustration); Open plan; Noise (video); Acoustics; Ambient noise level; Computer science; Sound (geography); Speech recognition; Physics; Engineering; Artificial intelligence","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":[],"consensus_categories":[],"category_scores_codex":[0.004626573,0.0001513344,0.0004892182,0.00002136737,0.0002170053,0.00002897439,0.001573179,0.00007710441,0.00005385045],"category_scores_gemma":[0.0001983887,0.00006158197,0.0003023424,0.000374997,0.0006312536,0.0001059968,0.0006298272,0.0005047622,0.000003230606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001377897,"about_ca_system_score_gemma":0.00003534312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001062545,"about_ca_topic_score_gemma":0.000003943763,"domain_scores_codex":[0.9960058,0.002542855,0.0006117101,0.0001181985,0.0004767517,0.0002446471],"domain_scores_gemma":[0.9954262,0.003001045,0.0007871064,0.0006010644,0.000145896,0.00003869631],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.01804988,0.004284312,0.2066013,0.009007101,0.009297676,0.000008714553,0.08027457,0.419798,0.1421278,0.003403453,0.06218296,0.04496427],"study_design_scores_gemma":[0.006406032,0.005736141,0.7225035,0.004801824,0.002205658,0.0001572454,0.1460601,0.1054923,0.002786541,0.002424675,0.000964166,0.0004617852],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9751612,0.0001983786,0.02075431,0.0009589008,0.0006791184,0.001199215,0.00001899987,0.000007798234,0.0010221],"genre_scores_gemma":[0.999405,0.00001746754,0.0002571714,0.000165224,0.00007265186,0.00001573096,3.736694e-7,0.00001394457,0.00005239823],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5159022,"threshold_uncertainty_score":0.2923385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02449872201346351,"score_gpt":0.2841940847381446,"score_spread":0.2596953627246811,"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."}}