{"id":"W4415087433","doi":"10.1007/978-3-032-06112-6_17","title":"Special Situations","year":2025,"lang":"en","type":"book-chapter","venue":"","topic":"Cardiac Arrest and Resuscitation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Lung transplantation; Transplantation; Lung; Airway; Mechanical ventilation; Ventilation (architecture)","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":[0.0004435807,0.0007604937,0.000450947,0.000809098,0.00204164,0.002244914,0.0007850458,0.001964229,0.1822885],"category_scores_gemma":[0.001792969,0.0002646541,0.0004543937,0.0005540839,0.000958023,0.001930248,0.003711405,0.002849101,0.06499194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007875328,"about_ca_system_score_gemma":0.001644493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001559452,"about_ca_topic_score_gemma":0.0071245,"domain_scores_codex":[0.9996471,0.00007704418,0.00001452897,0.00004184759,0.0001032976,0.0001161385],"domain_scores_gemma":[0.9996026,0.00008776826,0.00002215304,0.00003206783,0.00007126593,0.0001841909],"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":[0.00001023906,0.00005652418,0.0001627734,0.00009203138,0.00000167979,0.0005521638,0.0005784199,0.00008958152,0.00008381702,0.02784381,0.8925886,0.0779404],"study_design_scores_gemma":[0.000001884976,0.000007720134,0.0001521818,0.0001153805,9.882563e-7,0.0006015056,0.0002383526,0.00001838139,0.00001222858,0.003515827,0.9953334,0.0000021903],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0006159827,0.003324145,0.0005664442,0.004208639,0.005401354,0.00004387884,0.00005746951,0.00006573183,0.9857164],"genre_scores_gemma":[0.005712501,0.004714967,0.0005628465,0.005698775,0.002949314,0.00005299004,0.0001074888,0.00005153973,0.9801496],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1822885,"threshold_uncertainty_score":0.6098158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01409825199290695,"score_gpt":0.268183979824145,"score_spread":0.2540857278312381,"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."}}