{"id":"W2737871410","doi":"10.1007/s10877-017-0048-5","title":"Mechanical ventilation guided by electrical impedance tomography in pediatric acute respiratory distress syndrome","year":2017,"lang":"en","type":"article","venue":"Journal of Clinical Monitoring and Computing","topic":"Respiratory Support and Mechanisms","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"Royal University Hospital; University of Saskatchewan","funders":"","keywords":"Electrical impedance tomography; Medicine; Acute respiratory distress; Mechanical ventilation; Ventilation (architecture); Intensive care medicine; Respiratory distress; Pulmonary compliance; Positive end-expiratory pressure; Compliance (psychology); Anesthesia; Lung; Internal medicine; Tomography; Radiology; Psychology","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":[0.002174129,0.0001524064,0.0007096231,0.0001654492,0.0001911874,0.00009120233,0.0002334463,0.0002076433,0.000002187887],"category_scores_gemma":[0.0007955507,0.0001283299,0.0002723148,0.0001274773,0.00004793329,0.0001871251,0.00009382996,0.0008357663,0.000001296984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002889827,"about_ca_system_score_gemma":0.0001063138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003040021,"about_ca_topic_score_gemma":1.831182e-7,"domain_scores_codex":[0.9974223,0.0001170344,0.001501493,0.0002518423,0.0004233779,0.000283929],"domain_scores_gemma":[0.9977586,0.0002641181,0.001209881,0.0002758304,0.0001609991,0.0003305719],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002601239,0.0001770795,0.9280547,0.0000355809,0.00006412932,0.0006732209,0.00001684785,0.000001974665,0.001755284,0.00002493025,0.0001896006,0.06874649],"study_design_scores_gemma":[0.002801019,0.001430386,0.9915079,0.000308039,0.0002191421,0.0003068827,0.00001747104,0.0003612455,0.001934213,0.0002012051,0.0007602173,0.0001523022],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961466,0.0008904521,0.001119836,0.000123781,0.00155016,0.0001008535,0.000001208222,0.00001480661,0.00005234067],"genre_scores_gemma":[0.9960049,0.0003028544,0.001842383,0.00005048023,0.001760471,8.990819e-7,5.91651e-7,0.00001661294,0.00002085297],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06859419,"threshold_uncertainty_score":0.5233142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05963168085976505,"score_gpt":0.4076763881577131,"score_spread":0.348044707297948,"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."}}