{"id":"W4409656066","doi":"10.2196/57032","title":"Telemedicine Booths for Screening Cardiovascular Risk Factors: Prospective Multicenter Study","year":2025,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Health Promotion and Cardiovascular Prevention","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Telemedicine; Blood pressure; Pandemic; Family medicine; Coronavirus disease 2019 (COVID-19); Vaccination; Health care; Medical emergency; Emergency medicine; Disease; Internal medicine","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":[0.002033683,0.0003274967,0.0008677428,0.0003930608,0.0004978389,0.0000392023,0.0001365213,0.0001655827,0.000133257],"category_scores_gemma":[0.0003237512,0.0002593634,0.001210934,0.0003442956,0.00006600816,0.0001269032,0.00006858208,0.0004540584,0.000009249238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002402046,"about_ca_system_score_gemma":0.00007609755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002889822,"about_ca_topic_score_gemma":0.0000372379,"domain_scores_codex":[0.9971128,0.000549348,0.0005701839,0.0006437558,0.0006636681,0.000460279],"domain_scores_gemma":[0.9984667,0.00009183389,0.0001361988,0.0007595006,0.0003234479,0.0002223075],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006463027,0.0009356962,0.98109,0.0003679774,0.003950473,0.0000102302,0.003197172,0.0000141628,0.0001048928,0.0000398355,0.000606372,0.009618566],"study_design_scores_gemma":[0.008900167,0.0008832037,0.9683795,0.0002333471,0.001341857,9.87646e-7,0.005265467,0.00004030484,0.0006758391,0.00004939517,0.01402351,0.0002064557],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9537367,0.0003468567,0.03569975,0.00005418222,0.0003453874,0.008737247,0.00002683181,0.0002381931,0.0008148584],"genre_scores_gemma":[0.9969857,0.00001439989,0.000190602,0.00007315355,0.0002455339,0.0006517228,0.0001201593,0.00004533036,0.001673414],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.043249,"threshold_uncertainty_score":0.9999859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03284329752373943,"score_gpt":0.3608509587121612,"score_spread":0.3280076611884217,"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."}}