{"id":"W3044372451","doi":"10.2196/18689","title":"An Intelligent Mobile-Enabled System for Diagnosing Parkinson Disease: Development and Validation of a Speech Impairment Detection System","year":2020,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Voice and Speech Disorders","field":"Medicine","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Project 211; Dalian Medical University; National Natural Science Foundation of China","keywords":"Computer science; Artificial intelligence; Machine learning; Deep learning; Task (project management); Speech recognition; Feature (linguistics); Feature engineering; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009269145,0.0007101071,0.0007281753,0.0007059974,0.0003603503,0.000511683,0.0009044149,0.00123134,0.002591959],"category_scores_gemma":[0.001162276,0.0001941139,0.0003438524,0.0002389633,0.0002610103,0.0006040841,0.0005892346,0.0003967431,0.001474966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003679007,"about_ca_system_score_gemma":0.0005120551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001915283,"about_ca_topic_score_gemma":0.001429425,"domain_scores_codex":[0.9994392,0.00009961265,0.00006861311,0.0001614034,0.0001790682,0.00005209705],"domain_scores_gemma":[0.9993852,0.0001046618,0.00003643582,0.00005730426,0.0003589193,0.00005739987],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002051621,0.001368662,0.02520789,0.001364906,0.0004422818,0.002970569,0.0006563143,0.01839389,0.4792071,0.001399032,0.009693823,0.4572439],"study_design_scores_gemma":[0.000692158,0.006871897,0.04707276,0.0001779495,0.0004966422,0.003482898,0.0003450549,0.6423215,0.2785887,0.0006727546,0.01906602,0.0002116934],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6998068,0.002033516,0.2764119,0.0007124884,0.0008342717,0.001735377,0.001414959,0.01226408,0.004786771],"genre_scores_gemma":[0.871786,0.000394091,0.1203051,0.0005273686,0.00008426309,0.0007619796,0.001371883,0.0000836107,0.0046857],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.002591959,"threshold_uncertainty_score":0.008670986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0185582490600328,"score_gpt":0.2902198575226755,"score_spread":0.2716616084626427,"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."}}