{"id":"W2314150389","doi":"10.1097/00004872-200402001-00463","title":"A COMPARISON OF CALIBRATION ACCURACY BETWEEN ANEROID, MERCURY AND AUTOMATED SPHYGMOMANOMETERS IN CLINICAL USE WITHIN PRIMARY HEALTHCARE","year":2004,"lang":"en","type":"article","venue":"Journal of Hypertension","topic":"Scientific Measurement and Uncertainty Evaluation","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"St. Thomas Hospital","funders":"","keywords":"Medicine; Sphygmomanometer; Primary health care; Mercury (programming language); Primary care; Calibration; Environmental health; Internal medicine; Statistics; Family medicine; Blood pressure","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":[],"consensus_categories":[],"category_scores_codex":[0.01104691,0.000117638,0.0007316192,0.0005985197,0.0000796057,0.0001344903,0.0002632928,0.0001217129,0.000009627028],"category_scores_gemma":[0.007377886,0.00007842021,0.0001306295,0.0007322644,0.0001154615,0.00106061,0.00005444748,0.0002797256,0.000003111993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008788347,"about_ca_system_score_gemma":0.0003389112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006617761,"about_ca_topic_score_gemma":0.00007486981,"domain_scores_codex":[0.9941387,0.0006986065,0.002721419,0.0002752925,0.002012749,0.0001532305],"domain_scores_gemma":[0.9951529,0.001516128,0.001903182,0.0002617448,0.001007054,0.0001590234],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004301143,0.00030835,0.9420453,0.00002171014,0.00003119238,0.00002755361,0.002192663,0.004030428,0.02384637,0.00004182349,0.002369401,0.02465505],"study_design_scores_gemma":[0.002454993,0.0006593133,0.966047,0.0002615055,0.00005605594,0.00004405909,0.001415234,0.02514657,0.002033311,0.001688064,0.00007071558,0.0001232117],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961849,0.0003268221,0.0007042448,0.001913264,0.0006597552,0.0001879095,0.000003525447,0.00001283423,0.00000670894],"genre_scores_gemma":[0.9961367,0.00002665571,0.003529092,0.0002106989,0.00007400307,4.583837e-7,0.000007508512,0.000006492413,0.000008410762],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02453184,"threshold_uncertainty_score":0.8832552,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5694299855836518,"score_gpt":0.4920773941969986,"score_spread":0.07735259138665312,"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."}}