{"id":"W4225325538","doi":"10.1164/ajrccm-conference.2022.205.1_meetingabstracts.a1048","title":"Lung Function Monitoring in Patients with Pulmonary Graft vs. Host Disease Following Bone Marrow Transplantation (BMT) Using Oscillometry","year":2022,"lang":"en","type":"article","venue":"","topic":"Transplantation: Methods and Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre; Toronto General Hospital; University Health Network","funders":"","keywords":"Medicine; Bone marrow transplantation; Cardiology; Lung; Pulmonary function testing; Lung transplantation; Transplantation; Bone marrow; Internal medicine; Pulmonary disease; Disease","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":[0.001010595,0.0004053827,0.0007497826,0.001098786,0.000322942,0.0009043568,0.0002754248,0.000557309,0.000405989],"category_scores_gemma":[0.001933965,0.0001158506,0.0003509811,0.00109347,0.0003187359,0.0005925397,0.0005599206,0.0005350599,0.000116582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003542805,"about_ca_system_score_gemma":0.0003183408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007778221,"about_ca_topic_score_gemma":0.001149891,"domain_scores_codex":[0.9992563,0.0002519945,0.00009246351,0.00008928668,0.0001899424,0.0001200016],"domain_scores_gemma":[0.9989088,0.000332987,0.0004116682,0.0000475716,0.0001511727,0.0001478148],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005813726,0.0001362584,0.9874796,0.00003854113,0.00004292842,0.0001915369,0.00008229851,0.00005257649,0.0005822013,0.0000216625,0.00006222416,0.01072872],"study_design_scores_gemma":[0.0000349566,0.001825005,0.9945475,0.00003563518,0.00009679407,0.000989963,0.0003549526,0.000721956,0.0009546684,0.00006830288,0.0003590803,0.00001117753],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965479,0.002037973,0.0004618718,0.00007814894,0.00002136339,0.0000211204,0.00009387232,0.000008584288,0.0007291681],"genre_scores_gemma":[0.9988847,0.000474367,0.0003201153,0.00005010693,0.0000377772,0.0000190635,0.0001017573,0.000001549159,0.0001105226],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001098786,"threshold_uncertainty_score":0.005344629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01362482002072523,"score_gpt":0.2702408599604531,"score_spread":0.2566160399397279,"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."}}