{"id":"W4404104567","doi":"10.1183/13993003.congress-2024.oa989","title":"Machine learning of spirometry may predict CLAD onset after lung transplantation","year":2024,"lang":"en","type":"article","venue":"Transplantation","topic":"Transplantation: Methods and Outcomes","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; McMaster University Medical Centre","funders":"","keywords":"Spirometry; Lung transplantation; Computer science; Lung; Transplantation; Medicine; Artificial intelligence; Internal medicine; Asthma","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":[0.002589038,0.0004879202,0.0003948403,0.0007743093,0.0001722367,0.0006211832,0.0003715007,0.0005184383,0.001471469],"category_scores_gemma":[0.01057239,0.0001284894,0.0003885607,0.0004809125,0.0002563454,0.0004974951,0.0003281229,0.0006074631,0.0005344378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002728571,"about_ca_system_score_gemma":0.0002743903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007807412,"about_ca_topic_score_gemma":0.0009441026,"domain_scores_codex":[0.9991515,0.0004362045,0.00009233344,0.0001490852,0.00009911583,0.00007177452],"domain_scores_gemma":[0.9920806,0.005484544,0.001335261,0.0003741547,0.0004147687,0.0003107227],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005633013,0.0001224376,0.9754702,0.00002711388,0.00008331789,0.00005165241,0.00002390237,0.003237167,0.0008268319,0.00005595001,0.000639728,0.01889835],"study_design_scores_gemma":[0.00002157475,0.0004843939,0.9232152,0.00003691819,0.00006664766,0.000297937,0.00006350673,0.07316558,0.001594132,0.0005622457,0.000470819,0.00002113886],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916193,0.0006435974,0.005752718,0.0003555706,0.0000434622,0.00002391389,0.0007566014,0.00007518737,0.0007295088],"genre_scores_gemma":[0.996972,0.00008455051,0.002042772,0.00004622566,0.00004127868,0.00001323483,0.0006410069,0.000006958362,0.0001519505],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002589038,"threshold_uncertainty_score":0.01369226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01488158143922089,"score_gpt":0.3143494156312512,"score_spread":0.2994678341920303,"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."}}