{"id":"W4392110169","doi":"10.4266/acc.2023.01095","title":"The correlation between carotid artery doppler and stroke volume during central blood volume loss and resuscitation","year":2024,"lang":"en","type":"article","venue":"Acute and Critical Care","topic":"Hemodynamic Monitoring and Therapy","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"NOSM University; Health Sciences North","funders":"","keywords":"Medicine; Cardiology; Common carotid artery; Stroke volume; Doppler effect; Hemodynamics; Internal medicine; Ultrasound; Correlation; Cardiac cycle; Correlation coefficient; Carotid arteries; Linear correlation; Blood volume; Cardiac output; Blood pressure; Heart rate; Radiology; Mathematics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007045687,0.0000958067,0.0001228356,0.00003192364,0.0002073193,0.000126967,0.00001757981,0.00008048547,0.000005061129],"category_scores_gemma":[0.00003957898,0.00007088418,0.00002723067,0.00004590766,0.0001456094,0.00009792015,0.00002119146,0.0001983194,0.00000258493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000213721,"about_ca_system_score_gemma":0.00002164803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002034884,"about_ca_topic_score_gemma":0.000004217805,"domain_scores_codex":[0.9992775,0.00002833087,0.0001274776,0.0002093865,0.0001391475,0.0002181388],"domain_scores_gemma":[0.9995626,0.0001343397,0.000007353761,0.00009393568,0.00005632309,0.0001455053],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000102959,0.00001882421,0.9711145,0.0007874807,0.0003047048,0.000386222,0.004448381,7.553863e-7,0.003132855,0.00183936,0.0002789197,0.01758501],"study_design_scores_gemma":[0.001032484,0.0003454911,0.9910126,0.0002765718,0.0007460895,0.0004842336,0.002027554,0.001438142,0.0005916596,0.000466872,0.001399925,0.0001783696],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930924,0.003290446,0.0002038732,0.002730087,0.0002685173,0.0001280679,0.00006797925,0.00005080591,0.0001678363],"genre_scores_gemma":[0.9982052,0.0004589258,0.0000709061,0.00003585086,0.0004672573,0.000008421461,0.00003606603,0.00001377609,0.0007035921],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01989808,"threshold_uncertainty_score":0.2890573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008068314540782804,"score_gpt":0.2726969646461075,"score_spread":0.2646286501053247,"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."}}