{"id":"W2136419806","doi":"10.4271/2014-01-0892","title":"Tonal Metrics in the Presence of Masking Noise and Correlation to Subjective Assessment","year":2014,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Vehicle Noise and Vibration Control","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Chrysler (Canada)","funders":"","keywords":"Masking (illustration); Correlation; Computer science; Noise (video); Speech recognition; Artificial intelligence; Statistics; Mathematics","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":[0.008455596,0.000546634,0.0003475909,0.001921251,0.000293944,0.001223467,0.0005355689,0.0003881688,0.003150552],"category_scores_gemma":[0.05232434,0.0002627849,0.0002848309,0.001494385,0.0009791133,0.0009289919,0.001522006,0.0006224927,0.0007390322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003130784,"about_ca_system_score_gemma":0.0004124982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001810018,"about_ca_topic_score_gemma":0.002125476,"domain_scores_codex":[0.9906344,0.00369511,0.0006356972,0.0009574339,0.003861452,0.0002159765],"domain_scores_gemma":[0.9549522,0.0273811,0.005988554,0.003500287,0.007503974,0.0006739067],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002799054,0.0007158826,0.5403129,0.001214718,0.0003389868,0.0005978908,0.01704738,0.009165218,0.1278777,0.002934339,0.002190822,0.2948051],"study_design_scores_gemma":[0.00002939534,0.002269427,0.9522005,0.00007857912,0.00008301318,0.0005386726,0.002586256,0.0147304,0.02342054,0.001150655,0.00275596,0.0001567497],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8530347,0.0002615252,0.1295974,0.00007805774,0.0000916493,0.0009298645,0.0006372595,0.0004499853,0.01491956],"genre_scores_gemma":[0.9609826,0.00008313097,0.03635934,0.00003769079,0.00003544885,0.0004565092,0.0002771161,0.00009236285,0.001675881],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008455596,"threshold_uncertainty_score":0.04471797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00931100130810393,"score_gpt":0.2466784447437184,"score_spread":0.2373674434356144,"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."}}