{"id":"W3034002996","doi":"10.1016/j.jclinane.2020.109920","title":"Remote ischemic preconditioning: Lung protection in the time of a pandemic?","year":2020,"lang":"en","type":"article","venue":"Journal of Clinical Anesthesia","topic":"Cardiac Ischemia and Reperfusion","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Medicine; Anesthesia; Ischemic preconditioning; Coronavirus disease 2019 (COVID-19); Pandemic; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Lung; Cardiology; Intensive care medicine; Internal medicine; Ischemia; Virology","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":[0.001532578,0.00007422515,0.0005305154,0.00004037471,0.00001801959,0.000006074375,0.0000971366,0.000150943,0.00006755717],"category_scores_gemma":[0.0009327029,0.0000416927,0.0004285291,0.0001732355,0.00006204753,0.00006111636,0.000009833698,0.0006781041,0.00001025631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000139684,"about_ca_system_score_gemma":0.0001482143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003457829,"about_ca_topic_score_gemma":1.094954e-7,"domain_scores_codex":[0.9983173,0.0001687639,0.001022681,0.00009993642,0.0003043905,0.00008690944],"domain_scores_gemma":[0.9988154,0.0002682435,0.0005821642,0.0001103496,0.0001279326,0.00009596963],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01112842,0.001301988,0.4535264,0.001092718,0.0004899585,0.001790144,0.00529555,0.0001414701,0.3833731,0.00002237275,0.04373584,0.09810203],"study_design_scores_gemma":[0.01929787,0.008718927,0.7493001,0.003934938,0.002046898,0.03784939,0.001137033,0.01130455,0.07842722,0.0003711179,0.08702444,0.0005875744],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9852604,0.0002378841,0.0001009238,0.01348578,0.00003504937,0.0002113052,1.797839e-7,0.000006603686,0.0006618215],"genre_scores_gemma":[0.9971433,0.0001347859,0.0003845776,0.00148737,0.0007422144,8.542229e-7,0.000001285778,0.000008337892,0.00009724137],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3049459,"threshold_uncertainty_score":0.2946063,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05055226096257234,"score_gpt":0.3468834576057665,"score_spread":0.2963311966431942,"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."}}