{"id":"W2320606434","doi":"10.1097/mbp.0000000000000097","title":"Sensitivity, specificity, and predictive values of a forearm blood pressure measurement method in severe obesity","year":2015,"lang":"en","type":"article","venue":"Blood Pressure Monitoring","topic":"Blood Pressure and Hypertension Studies","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières; Université Laval","funders":"","keywords":"Medicine; Blood pressure; Forearm; Gold standard (test); Predictive value; Internal medicine; Cardiology; Obesity; Predictive value of tests; Surgery","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002226879,0.0004182693,0.001302472,0.0002388968,0.0001147697,0.00003855313,0.0001322994,0.0002803701,0.000005335663],"category_scores_gemma":[0.0004974331,0.0003719559,0.0001411393,0.0002933776,0.0001310068,0.0002226194,0.0004671317,0.0005436867,0.000001750251],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008647978,"about_ca_system_score_gemma":0.0001414928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006787247,"about_ca_topic_score_gemma":0.00005371784,"domain_scores_codex":[0.9964547,0.0004407277,0.0005761466,0.0007106267,0.001326212,0.0004916319],"domain_scores_gemma":[0.997555,0.0002954534,0.0002265394,0.0005796213,0.001013948,0.0003294747],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008598377,0.00256666,0.9446141,0.001490117,0.01129042,0.0005494757,0.006185272,0.0006222446,0.0285709,0.0001216525,0.001404835,0.00172452],"study_design_scores_gemma":[0.01328748,0.001655506,0.6087882,0.002450385,0.06089336,0.001084153,0.00286482,0.0008888369,0.299365,0.001324102,0.006474902,0.0009232362],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6818331,0.3034564,0.0007572325,0.0009384328,0.001322591,0.003112039,0.0002155352,0.0003645988,0.008000011],"genre_scores_gemma":[0.9918513,0.0003142428,0.006559215,0.00004802913,0.0007570377,0.00004035785,0.000004174346,0.00004908722,0.0003765244],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3358259,"threshold_uncertainty_score":0.9998732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0692698729580243,"score_gpt":0.2994829113611173,"score_spread":0.230213038403093,"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."}}