{"id":"W4404090605","doi":"10.1183/13993003.congress-2024.pa1445","title":"Home oscillometry monitoring after lung transplant is feasible and reliable","year":2024,"lang":"en","type":"article","venue":"","topic":"Transplantation: Methods and Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network","funders":"","keywords":"Intensive care medicine; Computer science; Lung; Reliability engineering; Medicine; Internal medicine; Engineering","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":[0.0006988798,0.000423249,0.0005676245,0.0005599913,0.0001771497,0.0006550989,0.0002711536,0.0005275295,0.003313149],"category_scores_gemma":[0.002221777,0.0001236033,0.0003162526,0.0003602912,0.0002323281,0.0004947303,0.0003581144,0.0005504458,0.001321146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001436156,"about_ca_system_score_gemma":0.0002118648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003571255,"about_ca_topic_score_gemma":0.0005863489,"domain_scores_codex":[0.9992247,0.0002739598,0.00006595067,0.0001512537,0.0002208592,0.00006324029],"domain_scores_gemma":[0.9986663,0.0004146274,0.000385812,0.0001063922,0.0002838994,0.0001429022],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002939594,0.0008596816,0.4939438,0.0006505731,0.0001389789,0.002455164,0.0004401305,0.0004838136,0.04473433,0.0002725904,0.009155877,0.4439254],"study_design_scores_gemma":[0.0001697976,0.00257561,0.9661832,0.0002851826,0.0001443761,0.005016856,0.0005653821,0.002315368,0.01197192,0.0003962914,0.01031693,0.00005899864],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9258732,0.009056836,0.03118872,0.001701685,0.0007060164,0.0005015904,0.001591259,0.001582964,0.02779772],"genre_scores_gemma":[0.9861163,0.00157074,0.008075228,0.0004007981,0.0005631139,0.0001712702,0.0007653971,0.00006848721,0.002268576],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003313149,"threshold_uncertainty_score":0.0110836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02018480327994758,"score_gpt":0.325196090564593,"score_spread":0.3050112872846454,"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."}}