{"id":"W2420393453","doi":"10.1186/s13054-016-1335-0","title":"Variable ventilation and Jensen's inequality: citation corrections","year":2016,"lang":"en","type":"letter","venue":"Critical Care","topic":"Respiratory Support and Mechanisms","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Convexity; Variable (mathematics); Jensen's inequality; Medicine; Mathematical economics; Ventilation (architecture); Applied mathematics; Work (physics); Citation; Calculus (dental); Regular polygon; Econometrics; Mathematics; Computer science; Mathematical analysis; Convex analysis; Economics; Convex optimization; Thermodynamics; Library science","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":[0.01453386,0.002075863,0.002062826,0.005358325,0.002585472,0.005372578,0.005357365,0.01517162,0.0151162],"category_scores_gemma":[0.2599616,0.0008214536,0.002239319,0.004969207,0.006207484,0.006179484,0.002838289,0.02223463,0.009796144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007674567,"about_ca_system_score_gemma":0.004954411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005278374,"about_ca_topic_score_gemma":0.004535436,"domain_scores_codex":[0.979629,0.004686234,0.00469869,0.001980014,0.007877404,0.001128661],"domain_scores_gemma":[0.8281679,0.08631683,0.01047713,0.006855846,0.06602097,0.002161441],"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":[0.00002848722,0.00001044088,0.0001067065,0.0002254291,0.00001556651,0.0007226966,0.00007729257,0.00007040885,0.00005814919,0.007941891,0.9835975,0.007145443],"study_design_scores_gemma":[0.00005118684,0.00002756284,0.0007029005,0.001023841,0.00004280346,0.002604205,0.0001159947,0.000771158,0.0002903969,0.02780304,0.9664842,0.0000827243],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.000283435,0.01097779,0.002384473,0.5235218,0.4584737,0.00003895205,0.000384709,0.0001909253,0.00374411],"genre_scores_gemma":[0.01781713,0.01911258,0.006743525,0.2639572,0.6681862,0.0002556137,0.0004913794,0.0004402204,0.02299617],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.01517162,"threshold_uncertainty_score":0.07686335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05005348038745854,"score_gpt":0.3319247725315579,"score_spread":0.2818712921440994,"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."}}