{"id":"W1607257201","doi":"","title":"Loudness prediction model comparison using the equal loudness contours","year":2009,"lang":"en","type":"article","venue":"Canadian acoustics","topic":"Vehicle Noise and Vibration Control","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Loudness; Software; Sound quality; Computer science; Acoustics; Speech recognition; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0001002328,0.000135059,0.0001479049,0.00007857758,0.0002089507,0.00008807643,0.0001566624,0.0001167741,0.00001945521],"category_scores_gemma":[0.00002285343,0.0001238426,0.00003613684,0.0001423422,0.00003032581,0.0001164669,0.000003857442,0.0002006409,0.000009733511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002574856,"about_ca_system_score_gemma":0.0002327711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009162211,"about_ca_topic_score_gemma":0.002290679,"domain_scores_codex":[0.9991785,0.00001587835,0.000209098,0.0001119178,0.0001444681,0.0003401933],"domain_scores_gemma":[0.9993885,0.00002495986,0.00002603193,0.00022421,0.00007222169,0.0002640973],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00000264565,0.000005255071,0.0001381849,0.000006598015,0.0000132903,0.000004742917,0.0002993155,0.9823221,0.007920021,0.000564656,0.005424427,0.003298757],"study_design_scores_gemma":[0.0002303879,0.00001612559,0.001246807,0.00001292822,0.00004972859,0.000004911002,0.0002110294,0.9973068,0.0001512057,0.0002483136,0.0003836624,0.0001380601],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2216493,0.0002067939,0.775261,0.0003070893,0.0006575934,0.0001980454,0.0001300943,0.0001558413,0.001434224],"genre_scores_gemma":[0.9984455,0.000008529445,0.0004108494,0.0006448546,0.0003868678,0.000003624355,0.00001969194,0.00002187575,0.0000582686],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7767962,"threshold_uncertainty_score":0.5050154,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02808433230679287,"score_gpt":0.2480016183219592,"score_spread":0.2199172860151663,"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."}}