{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002358136,0.0006815857,0.0008093702,0.001681933,0.001229511,0.0009259647,0.0006773266,0.001171376,0.001549921],"category_scores_gemma":[0.004015946,0.0008231312,0.001113443,0.001183691,0.0007370871,0.0008171028,0.0004955003,0.001027375,0.0002124273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006032389,"about_ca_system_score_gemma":0.0004733742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004412473,"about_ca_topic_score_gemma":0.002816665,"domain_scores_codex":[0.9978291,0.0006610898,0.0002439212,0.0005704092,0.0004901486,0.0002052321],"domain_scores_gemma":[0.9974801,0.0008898198,0.0005513195,0.0004148294,0.0003796642,0.0002843242],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009076719,0.0009576581,0.9945993,0.00004675533,0.0002613516,0.0005233797,0.000143414,0.00003324444,0.0003513976,0.00005807889,0.0001227723,0.001995024],"study_design_scores_gemma":[0.0005817246,0.003597189,0.9884997,0.00004619415,0.0007360578,0.003624542,0.0005447873,0.001314018,0.000288364,0.0001096543,0.000618794,0.00003903375],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977907,0.0008849314,0.0007055718,0.00004687042,0.00002962131,0.0001480412,0.00007909509,0.000005781935,0.0003094024],"genre_scores_gemma":[0.998661,0.0003138953,0.0005375285,0.00007087085,0.00005678326,0.0001058487,0.0001393184,0.000002519315,0.0001122381],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004412473,"threshold_uncertainty_score":0.0124712,"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."}}