{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009517382,0.000313323,0.0005856077,0.0008520295,0.0003856417,0.0009733291,0.0006007391,0.001131665,0.0006324271],"category_scores_gemma":[0.05836166,0.0003065609,0.0005460951,0.0009860416,0.0004990273,0.0005503385,0.0006800185,0.0005702421,0.0002647444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007243052,"about_ca_system_score_gemma":0.0008398024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004163078,"about_ca_topic_score_gemma":0.004640557,"domain_scores_codex":[0.9881185,0.006857903,0.0006762648,0.0008578206,0.003289325,0.0002001788],"domain_scores_gemma":[0.9443973,0.04461195,0.002094614,0.002052735,0.00647349,0.0003699271],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01256995,0.0004496074,0.833654,0.0003850162,0.001016459,0.0001741326,0.00203027,0.004351592,0.008540199,0.0007974883,0.00121225,0.1348189],"study_design_scores_gemma":[0.0005566659,0.004910363,0.9516914,0.0001152682,0.0008492409,0.0007300472,0.0007262616,0.02776096,0.01029323,0.0007240254,0.001578631,0.00006384126],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990417,0.00131897,0.006104584,0.0002875242,0.00009501773,0.00003546658,0.0002689109,0.0000855638,0.001386975],"genre_scores_gemma":[0.9951572,0.000189123,0.004160226,0.0001040564,0.00002986032,0.00001365174,0.0001282113,0.00001128633,0.00020628],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009517382,"threshold_uncertainty_score":0.05033338,"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."}}