{"id":"W4248733897","doi":"10.32920/ryerson.14664129.v1","title":"Making the invisible visible: visualization of music and lyrics for deaf and hard of hearing audiences","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Hearing Impairment and Communication","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; University of Saskatchewan","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; Toronto Rehabilitation Institute","keywords":"Lyrics; Melody; Psychology; Musical; Visual arts; Art; Literature","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001769238,0.0007333691,0.0003562221,0.001045516,0.00129714,0.002769293,0.0007558182,0.0006969888,0.005582156],"category_scores_gemma":[0.008960488,0.0003057545,0.0006338758,0.0003998579,0.001166078,0.001785258,0.004285623,0.0008011135,0.0005757317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003208175,"about_ca_system_score_gemma":0.0005415198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006189154,"about_ca_topic_score_gemma":0.001419032,"domain_scores_codex":[0.9989827,0.0006026216,0.00004195599,0.00009330546,0.0001726538,0.0001066703],"domain_scores_gemma":[0.996482,0.002280571,0.0003173137,0.0002456977,0.0002288517,0.0004455576],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002191277,0.0008409017,0.02575403,0.002196475,0.0001024185,0.002725055,0.5327497,0.001709466,0.100805,0.005884137,0.01060561,0.3144359],"study_design_scores_gemma":[0.001151353,0.006632525,0.1135362,0.002144832,0.0005966455,0.007134449,0.5015123,0.01701974,0.05192983,0.01283389,0.2848771,0.0006311272],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9557149,0.001077299,0.02750551,0.0008953514,0.0001221512,0.0002882925,0.0001638392,0.0007921404,0.01344052],"genre_scores_gemma":[0.9493629,0.0006570374,0.04524184,0.0001460267,0.00004839427,0.0002430762,0.0001065417,0.0001422418,0.004051765],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005582156,"threshold_uncertainty_score":0.01867414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1809845300348749,"score_gpt":0.413395551980655,"score_spread":0.2324110219457801,"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."}}