{"id":"W2802628109","doi":"10.1053/j.jvca.2018.04.034","title":"Optimizing One-Lung Ventilation: Moving Beyond Tidal Volume","year":2018,"lang":"en","type":"letter","venue":"Journal of Cardiothoracic and Vascular Anesthesia","topic":"Respiratory Support and Mechanisms","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto General Hospital","funders":"","keywords":"Medicine; Ventilation (architecture); Tidal volume; Volume (thermodynamics); Lung; Cardiology; Intensive care medicine; Internal medicine; Respiratory system; Meteorology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001717443,0.0005032792,0.001301361,0.0002385665,0.001169642,0.002995371,0.001125215,0.01711697,0.003026875],"category_scores_gemma":[0.01070294,0.0002268389,0.0008692461,0.0001685237,0.002178652,0.003424534,0.001196609,0.02561967,0.001778877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001734776,"about_ca_system_score_gemma":0.001696713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006124349,"about_ca_topic_score_gemma":0.001528589,"domain_scores_codex":[0.998492,0.0005069183,0.0002152542,0.0002345611,0.0003808559,0.0001703516],"domain_scores_gemma":[0.9945756,0.003536436,0.0003572785,0.0001930701,0.000605211,0.0007323471],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007014308,0.0004937969,0.006386426,0.0009632057,0.000210555,0.02522726,0.0006496987,0.002029238,0.004074802,0.05070272,0.6992795,0.2092813],"study_design_scores_gemma":[0.0004508906,0.0007989334,0.003936362,0.001390189,0.0001943315,0.03364491,0.001109767,0.006060832,0.002944821,0.1623327,0.7869585,0.0001777719],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.002711611,0.01402667,0.002384386,0.9632302,0.01223794,0.00001602867,0.00002473883,0.00004724324,0.005321326],"genre_scores_gemma":[0.08933197,0.01913817,0.008333713,0.7155584,0.1609202,0.00008214219,0.0000513015,0.00009500323,0.006489077],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.01711697,"threshold_uncertainty_score":0.01258677,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01661822567600627,"score_gpt":0.2659240581855068,"score_spread":0.2493058325095005,"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."}}