{"id":"W2086511844","doi":"10.1186/cc5454","title":"Lithium dilution cardiac output measurement in the critically ill patient: determination of precision of the technique","year":2007,"lang":"en","type":"article","venue":"Critical Care","topic":"Hemodynamic Monitoring and Therapy","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research","keywords":"Critically ill; Medicine; Intensive care medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0120272,0.0006659482,0.001638279,0.001237193,0.0004628972,0.00152489,0.001004026,0.001437648,0.000236305],"category_scores_gemma":[0.03527433,0.000447862,0.0004691737,0.0011076,0.001134388,0.000615449,0.0007864145,0.0009023851,0.0002181963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003988342,"about_ca_system_score_gemma":0.0005019811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001079401,"about_ca_topic_score_gemma":0.0009945319,"domain_scores_codex":[0.9826589,0.008042051,0.001437162,0.002132945,0.005475833,0.0002531444],"domain_scores_gemma":[0.9742473,0.01762675,0.002591644,0.002546034,0.002682048,0.000306335],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006602054,0.0003816461,0.5187263,0.001191074,0.001382192,0.000566068,0.003451957,0.003996131,0.2676052,0.001160908,0.001163175,0.1937733],"study_design_scores_gemma":[0.000361204,0.01081562,0.6611277,0.0003160001,0.001394045,0.01081795,0.0008504001,0.04619899,0.2590839,0.002030434,0.006712629,0.0002910468],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7763277,0.0164857,0.2011,0.0008605734,0.0004963762,0.0003508002,0.000410879,0.0006478942,0.003319949],"genre_scores_gemma":[0.9656592,0.0007806416,0.03262296,0.0002620281,0.0001453998,0.0001123278,0.0001137116,0.00006200976,0.0002417012],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0120272,"threshold_uncertainty_score":0.06360668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02739797083905567,"score_gpt":0.3201298949893866,"score_spread":0.2927319241503309,"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."}}