{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001698052,0.00007949501,0.00009522153,0.0002200927,0.00006028541,0.00002193754,0.0001143475,0.00004320942,0.0002173947],"category_scores_gemma":[0.0002933203,0.00005498721,0.00003973196,0.0003253966,0.00005593535,0.00020153,0.00004741538,0.0000954056,0.00008313419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009897087,"about_ca_system_score_gemma":0.00001170403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000125225,"about_ca_topic_score_gemma":0.00001465236,"domain_scores_codex":[0.999064,0.0000396356,0.0001847741,0.0002966598,0.0001333135,0.0002816425],"domain_scores_gemma":[0.9995017,0.0002144584,0.00002367858,0.00020133,0.000006419713,0.00005240621],"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":[0.000003507266,0.000029725,0.0154246,0.000006493835,3.776986e-7,0.00001167755,0.000175698,0.000007489,0.836743,0.001245431,0.00001774927,0.1463342],"study_design_scores_gemma":[0.0006152703,0.0001074984,0.7450849,0.0002086653,0.000001759441,0.00001366603,0.00001344182,0.0001395327,0.2497101,0.003211995,0.0006676288,0.000225499],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9895862,0.00001952331,0.0001805573,0.001198899,0.0002542368,0.00003469884,0.00000105973,0.00009095563,0.008633917],"genre_scores_gemma":[0.99866,0.0000125987,0.0003123897,0.0001019733,0.00004728839,0.00001177594,1.02706e-7,0.00001331379,0.0008406111],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7296603,"threshold_uncertainty_score":0.2380319,"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."}}