{"id":"W2171014782","doi":"10.1016/j.jvs.2005.07.014","title":"Human factors as a source of error in peak Doppler velocity measurement","year":2005,"lang":"en","type":"article","venue":"Journal of Vascular Surgery","topic":"Cardiovascular Function and Risk Factors","field":"Medicine","cited_by":153,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto General Hospital; University of Toronto","funders":"","keywords":"Medicine; Doppler effect; Observational error; Statistics; Astronomy; Physics","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":[0.04435345,0.0008753618,0.0009876391,0.003022836,0.0008717431,0.002197511,0.001113951,0.001828936,0.001573174],"category_scores_gemma":[0.1780289,0.0006898597,0.0006520878,0.003105161,0.001348146,0.001104707,0.0009362735,0.00114384,0.0004432563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001165885,"about_ca_system_score_gemma":0.001529585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007604872,"about_ca_topic_score_gemma":0.005241887,"domain_scores_codex":[0.946336,0.02897076,0.0051809,0.005552398,0.01293361,0.001026363],"domain_scores_gemma":[0.7137337,0.2461976,0.01070012,0.01560318,0.01289901,0.0008663466],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002622913,0.0006310635,0.679492,0.0009235019,0.001745321,0.003894584,0.007534144,0.02090743,0.01347607,0.01172259,0.005187087,0.2518633],"study_design_scores_gemma":[0.0002972159,0.001444784,0.6970336,0.0008985699,0.001991071,0.01593615,0.002015881,0.1617895,0.07834187,0.01390389,0.02587886,0.0004685425],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5722364,0.00899125,0.399391,0.002586866,0.003059839,0.0005247859,0.0008104304,0.001111312,0.01128812],"genre_scores_gemma":[0.9573948,0.0007055888,0.03898392,0.0004841539,0.0003870377,0.00009688556,0.0001857086,0.0003512138,0.001410642],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04435345,"threshold_uncertainty_score":0.2345663,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05541321130603942,"score_gpt":0.2817682548863965,"score_spread":0.2263550435803571,"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."}}