{"id":"W4400231081","doi":"10.2196/57241","title":"Contactless and Calibration-Free Blood Pressure and Pulse Rate Monitor for Screening and Monitoring of Hypertension: Cross-Sectional Validation Study","year":2024,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Preprint; Calibration; Blood pressure; Medicine; Cross-sectional study; Computer science; Internal medicine; Statistics; Mathematics","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":[0.009492163,0.0007775557,0.0005782836,0.0006181826,0.000948259,0.0007827821,0.0007198735,0.0009690754,0.001697975],"category_scores_gemma":[0.0127686,0.0005597344,0.001083674,0.0004427668,0.0008258176,0.0008736898,0.0006748501,0.001244867,0.0009049761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005655414,"about_ca_system_score_gemma":0.001166774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00344512,"about_ca_topic_score_gemma":0.004554507,"domain_scores_codex":[0.9949385,0.001934568,0.0004221579,0.0008583791,0.001596053,0.0002503389],"domain_scores_gemma":[0.9858153,0.00400651,0.001955653,0.00167366,0.005863154,0.0006857501],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002211493,0.01281819,0.9670414,0.0002609453,0.0005819154,0.0002643306,0.002971622,0.0002332369,0.002718162,0.0001845754,0.00109772,0.009616571],"study_design_scores_gemma":[0.0004361236,0.02430619,0.9655249,0.0001034033,0.0005645566,0.0008952325,0.001800771,0.001826411,0.001891663,0.00009268913,0.002518869,0.00003926895],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964496,0.0001353407,0.001442775,0.00003174437,0.00002367651,0.0008351758,0.0003211061,0.00001426494,0.0007463221],"genre_scores_gemma":[0.995201,0.0001242408,0.00219885,0.0002224225,0.00002585231,0.0007741253,0.0007930453,0.00001613996,0.0006442984],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009492163,"threshold_uncertainty_score":0.05019993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03041774133524433,"score_gpt":0.2712079744490137,"score_spread":0.2407902331137693,"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."}}