{"id":"W4406104725","doi":"10.3390/diagnostics15010103","title":"The Accuracy of the Passive Leg Raising Test Using the Perfusion Index to Identify Preload Responsiveness—A Single Center Study in a Resource-Limited Setting","year":2025,"lang":"en","type":"article","venue":"Diagnostics","topic":"Hemodynamic Monitoring and Therapy","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Wellcome Trust","keywords":"Preload; Medicine; Single Center; Receiver operating characteristic; Sepsis; Perfusion; Internal medicine; Cardiology; Clinical endpoint; Hemodynamics; Clinical trial","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0008090329,0.0001651,0.0002357663,0.0001380588,0.0004700144,0.00008058644,0.0003283083,0.00007963239,0.000002285122],"category_scores_gemma":[0.0179052,0.00008881127,0.00007912807,0.0008051974,0.00009753227,0.00003743458,0.000293232,0.0004113201,0.000001367307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001884683,"about_ca_system_score_gemma":0.0001869116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001640722,"about_ca_topic_score_gemma":0.00008596082,"domain_scores_codex":[0.9982001,0.0004348417,0.0004472325,0.0002453622,0.0003744439,0.0002980167],"domain_scores_gemma":[0.9890172,0.009816742,0.0001844654,0.0007128178,0.0002213178,0.00004739529],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003095398,0.0006731957,0.9488856,0.00003397642,0.00005201397,0.00003351259,0.005773352,0.0005839292,0.0146839,0.00001772618,0.0003701266,0.02858317],"study_design_scores_gemma":[0.001705036,0.0002046684,0.9736518,0.002364114,0.00009720301,0.00001163705,0.007891962,0.002296692,0.006462176,0.00006763792,0.005126368,0.0001207615],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928879,0.0002091994,0.0002794072,0.004596798,0.0005059199,0.001340918,0.000009511079,0.00002177981,0.0001485505],"genre_scores_gemma":[0.9989956,0.00004860151,0.00003851059,0.0006010509,0.0001270732,0.00003238869,0.000002550321,0.00002233694,0.0001318928],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02846241,"threshold_uncertainty_score":0.9903674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02596535503918808,"score_gpt":0.3540410373108763,"score_spread":0.3280756822716882,"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."}}