{"id":"W4413101323","doi":"10.1111/hex.70365","title":"Community Engagement in Long Covid Research: Process, Evaluation and Recommendations From the Long COVID and Episodic Disability Study","year":2025,"lang":"en","type":"article","venue":"Health Expectations","topic":"Long-Term Effects of COVID-19","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Rehabilitation Institute; Princess Margaret Cancer Centre; University Health Network; University of Toronto; Canadian Patient Safety Institute; Hamilton Health Sciences; TD Bank Group; Public Health Ontario; McMaster University Medical Centre","funders":"Canadian Institutes of Health Research; Pittsburgh Liver Research Center, University of Pittsburgh; Canada Research Chairs","keywords":"Balanced scorecard; Psychology; Coronavirus disease 2019 (COVID-19); Medical education; Computer-assisted web interviewing; Process (computing); Community engagement; Medicine; Public relations; Political science; Process management; Business; Disease","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts"],"consensus_categories":[],"category_scores_codex":[0.007309677,0.0001528953,0.0003088528,0.000224503,0.002086158,0.00008879937,0.0001711985,0.0000585188,0.00008112767],"category_scores_gemma":[0.01040183,0.000126184,0.00002598351,0.0008665389,0.0003990876,0.0001915573,0.0001808809,0.001056137,0.000004634336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001012611,"about_ca_system_score_gemma":0.00162136,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01172034,"about_ca_topic_score_gemma":0.05435506,"domain_scores_codex":[0.9903209,0.007810735,0.0005638019,0.0004007976,0.0005711592,0.0003325576],"domain_scores_gemma":[0.9877794,0.01081574,0.000125102,0.0007210232,0.0002918979,0.0002667759],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001318262,0.001425401,0.888069,0.0006306499,0.00005396699,0.000003149572,0.09523713,0.00002794274,0.000004565321,0.0002399134,0.001090758,0.01308564],"study_design_scores_gemma":[0.002927963,0.0003733089,0.8870951,0.0003041306,0.00007042671,0.000002670126,0.1041955,0.001074289,0.000005643674,0.003725514,0.0001445258,0.00008095046],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8484982,0.002190721,0.0004481984,0.1418051,0.00008525627,0.006745709,0.00003625219,0.00005864431,0.0001319864],"genre_scores_gemma":[0.9950173,0.0001346013,0.0002381187,0.002587729,0.00004106255,0.001639942,0.0003037932,0.00001296216,0.00002442436],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1465192,"threshold_uncertainty_score":0.999213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1978799115058722,"score_gpt":0.5198605767761558,"score_spread":0.3219806652702837,"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."}}