{"id":"W4411420080","doi":"10.1016/j.ard.2025.06.819","title":"POS1475-HPR EXPLORING CHANGES IN BENEFIT STATUS IN THE YEAR BEFORE AND AFTER REHABILITATION: A CASE-CONTROL STUDY.","year":2025,"lang":"en","type":"article","venue":"Annals of the Rheumatic Diseases","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"ASTER","funders":"","keywords":"Medicine; Rehabilitation; Physical therapy; Gerontology","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":[0.001264542,0.0003132818,0.0005030658,0.0004525173,0.0004662297,0.0007669744,0.0004621679,0.0009014094,0.00299662],"category_scores_gemma":[0.001846048,0.000443457,0.0009368544,0.0006788724,0.0003357418,0.0004639392,0.0002911898,0.0005997836,0.0005622743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004320096,"about_ca_system_score_gemma":0.0003981313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002568214,"about_ca_topic_score_gemma":0.002618183,"domain_scores_codex":[0.9991137,0.0002217252,0.00007686124,0.0003382334,0.0001246959,0.0001248145],"domain_scores_gemma":[0.9991986,0.000149731,0.0003636437,0.000143636,0.00006065417,0.00008376544],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01992262,0.001412555,0.9608099,0.000246773,0.001339752,0.0008183126,0.0001786142,0.0001175777,0.001519664,0.0001918478,0.001675983,0.0117663],"study_design_scores_gemma":[0.001793437,0.004469185,0.9877857,0.00005937991,0.001204278,0.001107831,0.0001493454,0.0006449782,0.0003025928,0.0001665869,0.002293871,0.00002298374],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951937,0.002047737,0.0004115585,0.00007617151,0.00005354753,0.0002300369,0.001108501,0.00001116474,0.0008676404],"genre_scores_gemma":[0.9979485,0.0002309784,0.0002420829,0.00009258879,0.00004618281,0.0001480371,0.0007465361,0.000004455087,0.0005406495],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00299662,"threshold_uncertainty_score":0.01002473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04292741164932269,"score_gpt":0.3552770013609667,"score_spread":0.312349589711644,"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."}}