{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008486984,0.0006516625,0.0003872664,0.0006971672,0.0002826656,0.0009919802,0.001060682,0.0007417384,0.005304289],"category_scores_gemma":[0.002646127,0.0001822468,0.0007242343,0.0003742542,0.0002003771,0.00075519,0.000428832,0.000621751,0.001227199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005768322,"about_ca_system_score_gemma":0.0005672392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01081858,"about_ca_topic_score_gemma":0.00536986,"domain_scores_codex":[0.9996735,0.00005759883,0.00001847302,0.0001023629,0.0001145582,0.00003363019],"domain_scores_gemma":[0.999313,0.0003305237,0.00003647546,0.00007061269,0.0002266437,0.00002266429],"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":[0.0002954268,0.0001085561,0.002264339,0.00009113808,0.00005098711,0.00007488061,0.000105988,0.9237128,0.007983884,0.002123794,0.00156195,0.06162633],"study_design_scores_gemma":[0.00001537873,0.00005588161,0.001440209,0.000006715773,0.0000131784,0.00001490173,0.00001771981,0.9942215,0.002737245,0.0007010032,0.0007581446,0.000018098],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2463775,0.000253633,0.7290198,0.0002445017,0.0001908732,0.0001736037,0.0008508472,0.002967028,0.01992231],"genre_scores_gemma":[0.9515204,0.00009902505,0.041268,0.00006161653,0.00001824834,0.0001289655,0.001010508,0.0002797634,0.00561336],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01081858,"threshold_uncertainty_score":0.0215112,"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."}}