{"id":"W4390431080","doi":"10.14740/cr1569","title":"Is the Blood Pressure-Enabled Smartwatch Ready to Drive Precision Medicine? Supporting Findings From a Validation Study","year":2023,"lang":"en","type":"article","venue":"Cardiology Research","topic":"Blood Pressure and Hypertension Studies","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Blood pressure; Medical instrumentation; Smartwatch; Anthropometry; Sphygmomanometer; Internal medicine; Wrist; Physical therapy; Cardiology; Wearable computer; Surgery; 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":[],"consensus_categories":[],"category_scores_codex":[0.006290219,0.0002076616,0.001114386,0.0004229751,0.0006761403,0.00003506483,0.0003665317,0.0002026908,0.0001944541],"category_scores_gemma":[0.00363263,0.0001231468,0.0001153356,0.001224859,0.0002829653,0.00006074935,0.0007374536,0.0008288422,0.0006405627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001076702,"about_ca_system_score_gemma":0.0001017681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006238503,"about_ca_topic_score_gemma":0.00002084234,"domain_scores_codex":[0.9956661,0.0011018,0.0005041487,0.0007982886,0.001152662,0.0007770278],"domain_scores_gemma":[0.9946271,0.002977217,0.00006134829,0.001001823,0.001124464,0.0002080239],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0003897579,0.00009851659,0.3026701,0.00003634835,0.003647637,0.0005485965,0.01423333,0.00001550042,0.0177693,0.00002895546,0.6594677,0.001094313],"study_design_scores_gemma":[0.004784652,0.003435504,0.7500834,0.00027143,0.006637827,0.0001328448,0.02570972,0.0001235138,0.007736868,0.000999553,0.1997493,0.0003354589],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9625359,0.001746143,0.00001334348,0.02884904,0.0003306973,0.002344387,0.00003188104,0.0001545262,0.003994125],"genre_scores_gemma":[0.988802,0.0002243163,0.00003502722,0.001165941,0.001001568,0.000382387,0.00008087156,0.00003571301,0.008272143],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4597184,"threshold_uncertainty_score":0.8233351,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1738043914097878,"score_gpt":0.4379615097111346,"score_spread":0.2641571183013468,"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."}}