{"id":"W4252526226","doi":"10.32920/14637453.v1","title":"Hearing Aids and Music","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Hearing Loss and Rehabilitation","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Hearing aid; Set (abstract data type); Computer science; Converse; Speech recognition; Perception; Limiting; Psychoacoustics; Noise (video); High fidelity; Music perception; Acoustics; Audiology; Psychology; Mathematics; Engineering; Artificial intelligence; Medicine","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":[0.0006522649,0.0005820043,0.0005889643,0.001000068,0.001293263,0.006082669,0.0006757195,0.002113065,0.02841157],"category_scores_gemma":[0.002559294,0.0002195532,0.0002644886,0.0008136526,0.003783435,0.003453145,0.002364453,0.001549882,0.004750802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009671758,"about_ca_system_score_gemma":0.0009442335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002183386,"about_ca_topic_score_gemma":0.002399648,"domain_scores_codex":[0.9991036,0.0001764873,0.00004487235,0.0001359574,0.0004279307,0.0001111223],"domain_scores_gemma":[0.9993031,0.000277195,0.00008144134,0.00007174455,0.0001557786,0.0001106883],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00025822,0.0001242019,0.001731995,0.001185163,0.00004473806,0.000759905,0.001610771,0.000832012,0.003771908,0.5257932,0.05042735,0.4134605],"study_design_scores_gemma":[0.00004424456,0.0002674726,0.007156455,0.001151121,0.00003125255,0.004050365,0.002692032,0.0006246821,0.001629188,0.2959193,0.6863629,0.00007099178],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0280866,0.2631767,0.01484746,0.03084253,0.006357461,0.00008097449,0.0002540542,0.0003706312,0.6559836],"genre_scores_gemma":[0.4660779,0.2001567,0.02301404,0.01922601,0.007401297,0.0001103358,0.0003372658,0.0003262194,0.2833502],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02841157,"threshold_uncertainty_score":0.09504616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08196083775045801,"score_gpt":0.305000715949911,"score_spread":0.223039878199453,"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."}}