{"id":"W1532259572","doi":"","title":"Measurement of perceived annoyance due to low frequency content in broad spectrum noises","year":2007,"lang":"en","type":"article","venue":"Canadian acoustics","topic":"Scientific Research and Discoveries","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Annoyance; Headphones; Acoustics; Noise (video); Spectral density; Loudness; Computer science; Engineering; Telecommunications; Physics; Artificial intelligence","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":[0.0006686205,0.0006134932,0.0004786252,0.0007086357,0.000222843,0.0005115945,0.0002737274,0.0005989436,0.002521788],"category_scores_gemma":[0.003807687,0.0001905712,0.0003535677,0.0003006169,0.0002328042,0.0003145903,0.0004894279,0.0006224915,0.0004520398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000161292,"about_ca_system_score_gemma":0.0001305128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004314384,"about_ca_topic_score_gemma":0.000550183,"domain_scores_codex":[0.9990934,0.0002194642,0.00007456078,0.0001265246,0.0004252624,0.00006073866],"domain_scores_gemma":[0.9971778,0.001235042,0.0003723465,0.000170027,0.0007283221,0.0003164095],"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":[0.003078612,0.0004762879,0.03679112,0.0006707662,0.0002169807,0.0003453102,0.0008970783,0.001031231,0.9214418,0.0001196492,0.000340206,0.03459105],"study_design_scores_gemma":[0.00009315925,0.008297608,0.7897327,0.00004810231,0.0002608215,0.001368328,0.0006289333,0.004973307,0.193492,0.000138097,0.000873878,0.0000929937],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9844434,0.000269221,0.01253749,0.00003279514,0.00005551543,0.000138045,0.0003677114,0.0001683184,0.00198757],"genre_scores_gemma":[0.9921665,0.0001955735,0.005439125,0.00007928691,0.00003339494,0.0001103008,0.0003432441,0.00003272953,0.001599898],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002521788,"threshold_uncertainty_score":0.008436203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02969718000242683,"score_gpt":0.2541395642531912,"score_spread":0.2244423842507644,"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."}}