{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003621633,0.00009747078,0.0001503784,0.0002029483,0.00005936542,0.00004419131,0.000194358,0.00002331442,0.0003110608],"category_scores_gemma":[0.00007773245,0.00009700282,0.00004045331,0.0002646289,0.00007932743,0.00005403696,0.00001702142,0.00009514498,0.00003885942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002606928,"about_ca_system_score_gemma":0.0007425408,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1877854,"about_ca_topic_score_gemma":0.1573058,"domain_scores_codex":[0.9987365,0.00001414071,0.0002183301,0.000187882,0.0003159937,0.0005271622],"domain_scores_gemma":[0.9990302,0.00001830631,0.00003512805,0.0002215475,0.0001659507,0.0005289223],"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":[0.00008708976,0.0002924449,0.4617687,0.0001118096,0.00008612561,0.0002717365,0.002009493,0.001807238,0.4897952,0.01128855,0.02052446,0.01195722],"study_design_scores_gemma":[0.0002975329,0.00005454044,0.9905103,0.00008753088,0.000005867239,6.552269e-7,0.001851039,0.00008787637,0.005504843,0.001057519,0.0003758226,0.0001664622],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.978645,0.00006471982,0.006592684,0.0002269714,0.0002408857,0.0002452475,0.0001990357,0.00000457643,0.01378088],"genre_scores_gemma":[0.9990836,0.00000116847,0.0003138743,0.000100481,0.0001034426,0.000006160283,0.000009566933,0.000008293248,0.0003733529],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5287417,"threshold_uncertainty_score":0.8580711,"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."}}