{"id":"W2312708865","doi":"10.1177/2331216515626131","title":"Harmonic Frequency Lowering","year":2016,"lang":"en","type":"article","venue":"Trends in Hearing","topic":"Hearing Loss and Rehabilitation","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Harmonic; Fundamental frequency; Acoustics; Sound quality; Speech recognition; SIGNAL (programming language); Quality (philosophy); Transposition (logic); Audiology; Psychology; Computer science; Physics; Artificial intelligence; Medicine","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":[0.0004281792,0.000682769,0.0005141959,0.0007617968,0.0004722828,0.0007307603,0.001075975,0.0005684009,0.006084148],"category_scores_gemma":[0.001372128,0.0002318522,0.0003802952,0.0004104358,0.0003388579,0.0005891203,0.0008692469,0.0006000095,0.002471688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000328162,"about_ca_system_score_gemma":0.0004933143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001204866,"about_ca_topic_score_gemma":0.001729552,"domain_scores_codex":[0.9996954,0.00002325739,0.0000195732,0.00007940813,0.0001487898,0.00003359342],"domain_scores_gemma":[0.9995306,0.0001048034,0.0000580103,0.0001177466,0.0001539895,0.00003499518],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004684316,0.0001335964,0.00147736,0.0001450331,0.00003737953,0.000123209,0.0001226146,0.004588322,0.2267531,0.003028873,0.002905906,0.7602161],"study_design_scores_gemma":[0.0002756427,0.001235753,0.009352433,0.00007557478,0.0001964378,0.001893991,0.0001569854,0.5042184,0.4114026,0.006656485,0.06443073,0.0001050522],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.04190655,0.0003426392,0.9503503,0.00009789534,0.0001420955,0.0002215458,0.00009873975,0.003345874,0.003494243],"genre_scores_gemma":[0.2228314,0.0002328737,0.7690618,0.0001607833,0.0001100704,0.0001741291,0.0003113443,0.0003152916,0.006802257],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.006084148,"threshold_uncertainty_score":0.0203535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08212557736484771,"score_gpt":0.3281587700658639,"score_spread":0.2460331927010161,"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."}}