{"id":"W4393382578","doi":"10.1177/08404704241239867","title":"An adaptive approach to developing a Long COVID rehabilitation program","year":2024,"lang":"en","type":"article","venue":"Healthcare Management Forum","topic":"Long-Term Effects of COVID-19","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Rehabilitation; Multidisciplinary approach; Multidisciplinary team; Quality of life (healthcare); Independence (probability theory); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Work (physics); Medicine; Function (biology); Medical education; Nursing; Psychology; Physical therapy; Disease; Engineering; Sociology; Virology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.006598246,0.0003398319,0.0001162458,0.0006596681,0.005570979,0.00277585,0.002310051,0.001388923,0.01283925],"category_scores_gemma":[0.00479577,0.0002284537,0.0003183311,0.00030369,0.001830329,0.001717845,0.007877083,0.002806741,0.001330423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006132222,"about_ca_system_score_gemma":0.0248707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006753345,"about_ca_topic_score_gemma":0.03647896,"domain_scores_codex":[0.9964772,0.001556184,0.0001458309,0.0002909508,0.0006455438,0.0008842727],"domain_scores_gemma":[0.9918346,0.0004516069,0.0002536441,0.000182995,0.0008053893,0.006471676],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002616077,0.008975828,0.02527818,0.000485317,0.00002636207,0.001965168,0.03344839,0.001304139,0.006391345,0.02158555,0.09879077,0.8014873],"study_design_scores_gemma":[0.0003135959,0.004585402,0.05634905,0.0009223524,0.00003994559,0.00174853,0.04039343,0.003179624,0.003651824,0.009415362,0.8792621,0.0001387141],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.4424591,0.002469928,0.09497843,0.1688057,0.005084335,0.01170247,0.0003255553,0.002602395,0.2715722],"genre_scores_gemma":[0.6434209,0.002233033,0.2018511,0.01686008,0.0009672925,0.005103419,0.0003963579,0.0002171705,0.1289507],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01283925,"threshold_uncertainty_score":0.04449254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02783812771353993,"score_gpt":0.3725375455188591,"score_spread":0.3446994178053192,"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."}}