{"id":"W2941418001","doi":"10.2196/11959","title":"A Noninvasive, Economical, and Instant-Result Method to Diagnose and Monitor Type 2 Diabetes Using Pulse Wave: Case-Control Study","year":2019,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Shanghai Municipal Education Commission; National Natural Science Foundation of China","keywords":"Medicine; Hyperlipidemia; Type 2 diabetes; Diabetes mellitus; Pulse wave; Pulse (music); Internal medicine; Cardiology; Endocrinology; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006094896,0.0003360757,0.0006009389,0.0002289107,0.0002270699,0.0001192384,0.0000737279,0.0001298606,0.00001350534],"category_scores_gemma":[0.00006480291,0.0003324373,0.00002565559,0.0002389401,0.00003425479,0.0002569327,0.00008719941,0.0003335091,0.00001084848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001946799,"about_ca_system_score_gemma":0.00009104412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003758804,"about_ca_topic_score_gemma":0.00008895809,"domain_scores_codex":[0.9979353,0.0001706786,0.0004779191,0.0005424729,0.0001291898,0.0007444498],"domain_scores_gemma":[0.9981141,0.0005992929,0.00008729265,0.0002867233,0.00005759879,0.0008549957],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003841393,0.0003074537,0.8407173,0.003938945,0.0002403556,0.0006437052,0.00593057,0.001210607,0.0193762,0.00009495082,0.0001600143,0.1269958],"study_design_scores_gemma":[0.02375076,0.01001894,0.8725127,0.001197644,0.0008322602,0.001871952,0.01186365,0.06344849,0.008257563,0.0004465718,0.001641777,0.004157669],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994955,0.002096326,0.0001733887,0.0001030405,0.0004907716,0.001919798,0.00007949218,0.0001148457,0.0000673382],"genre_scores_gemma":[0.9950678,0.0003355826,0.003916299,0.0002347888,0.0002811617,0.00008052983,0.000001917223,0.00007292392,0.000009028799],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1228381,"threshold_uncertainty_score":0.9999127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03624881954292561,"score_gpt":0.3349533575856943,"score_spread":0.2987045380427688,"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."}}