{"id":"W1576908392","doi":"","title":"Conversational speech intensity under different noise conditions in hypophonia and parkinson's disease","year":2006,"lang":"en","type":"article","venue":"Canadian acoustics","topic":"Voice and Speech Disorders","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Audiology; Noise (video); Stimulus (psychology); Psychology; Parkinson's disease; Intensity (physics); Analysis of variance; Background noise; Noise level; Speech recognition; Mathematics; Medicine; Acoustics; Disease; Computer science; Statistics; Hearing loss; Cognitive psychology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004633154,0.0002955567,0.0004083494,0.0007375301,0.0002363568,0.0003329222,0.0000999549,0.0003118044,0.001236142],"category_scores_gemma":[0.002426519,0.0001501261,0.0001618282,0.0001780798,0.0003074569,0.000176123,0.0003526823,0.0002045077,0.0001800464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002119913,"about_ca_system_score_gemma":0.000122231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001529668,"about_ca_topic_score_gemma":0.003044174,"domain_scores_codex":[0.9995161,0.0001581496,0.00004204486,0.0000644489,0.0001454137,0.00007383736],"domain_scores_gemma":[0.9986762,0.0005869399,0.0001953415,0.00004030209,0.0002071348,0.0002939623],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.02061621,0.001054054,0.4813039,0.0003988176,0.00033152,0.002305158,0.006099114,0.000401564,0.4380932,0.0001384896,0.0002388928,0.04901901],"study_design_scores_gemma":[0.00001724474,0.001108743,0.9951755,0.00000531546,0.00004549016,0.0005780342,0.0004118927,0.0001080357,0.00244764,0.00002299854,0.00007152082,0.000007537175],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994492,0.0001095187,0.0000403641,0.000005333605,0.000001916196,0.000003644703,0.00001842261,0.000002704058,0.0003689539],"genre_scores_gemma":[0.9995127,0.00007370357,0.00008744848,0.00001101371,0.000006028688,0.000008674715,0.00006183711,0.000002704622,0.0002358011],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001529668,"threshold_uncertainty_score":0.004135311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009895990142422576,"score_gpt":0.2242113059853528,"score_spread":0.2143153158429303,"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."}}