{"id":"W3164170867","doi":"10.2196/28708","title":"Telerehabilitation for Lung Transplant Candidates and Recipients During the COVID-19 Pandemic: Program Evaluation","year":2021,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Transplantation: Methods and Outcomes","field":"Medicine","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network","funders":"University Health Network","keywords":"Telerehabilitation; Medicine; Physical therapy; Telehealth; Lung transplantation; Rehabilitation; Telemedicine; Pulmonary rehabilitation; Transplantation; Internal medicine; Health care","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001445071,0.0001258414,0.0002539562,0.00006289608,0.000442476,0.00002814392,0.00002842929,0.00008382286,0.00001822366],"category_scores_gemma":[0.000212872,0.00008641365,0.00004309067,0.0001505508,0.00006496361,0.00006746258,0.000005630768,0.0001536463,3.084984e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000172976,"about_ca_system_score_gemma":0.0007312557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001162662,"about_ca_topic_score_gemma":0.0003996331,"domain_scores_codex":[0.9984932,0.0002760875,0.0003526423,0.0003243678,0.0002464453,0.0003072475],"domain_scores_gemma":[0.998612,0.0006003388,0.0001022624,0.0001484948,0.0001275795,0.0004093229],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007885278,0.00009127524,0.8748978,0.006814768,0.00002521897,0.000003595776,0.005259446,0.000004773395,0.000173908,0.0001841797,0.000100691,0.1116558],"study_design_scores_gemma":[0.004204264,0.0003192847,0.9899659,0.0001111059,0.0002815083,0.0002397737,0.0004883723,0.001585435,0.00004526437,0.0003022849,0.002363585,0.00009324778],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9831405,0.002843037,0.001293379,0.009104322,0.0001509489,0.003287914,0.00008416585,0.00006814065,0.00002759851],"genre_scores_gemma":[0.9846132,0.002982383,0.008787158,0.002262819,0.0001284681,0.0009730884,0.0001705904,0.00001526128,0.00006703207],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.115068,"threshold_uncertainty_score":0.3523847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1387094347375379,"score_gpt":0.4963861972454083,"score_spread":0.3576767625078704,"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."}}