{"id":"W4379796845","doi":"10.1136/annrheumdis-2023-eular.1338","title":"POS1269 INVESTIGATING THE TRAJECTORY OF FUNCTIONAL DISABILITY IN SYSTEMIC SCLEROSIS: GROUP BASED TRAJECTORY MODELLING OF THE HEALTH ASSESSMENT QUESTIONNAIRE DISABILITY INDEX","year":2023,"lang":"en","type":"article","venue":"Annals of the Rheumatic Diseases","topic":"Systemic Sclerosis and Related Diseases","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Jewish General Hospital","funders":"Nemzeti Kutatási, Fejlesztési és Innovaciós Alap","keywords":"Medicine; Physical therapy; Quality of life (healthcare); Proportional hazards model; Wilcoxon signed-rank test; Hazard ratio; Cohort; Physical medicine and rehabilitation; Internal medicine; Confidence interval; Mann–Whitney U test","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":[0.004605843,0.0006260086,0.0007007445,0.0009108724,0.0003935056,0.001118232,0.0008640288,0.0006889786,0.003592756],"category_scores_gemma":[0.008216985,0.0002812218,0.001596069,0.001503242,0.0002538573,0.0005898039,0.001076693,0.001022621,0.0007457905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005860977,"about_ca_system_score_gemma":0.001298571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02891022,"about_ca_topic_score_gemma":0.01770229,"domain_scores_codex":[0.9988303,0.0007463173,0.00004173682,0.0001977519,0.00008672534,0.00009722368],"domain_scores_gemma":[0.9971166,0.001776656,0.0003367148,0.0003615598,0.0002398697,0.0001685629],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002091813,0.0006577202,0.8081573,0.0001474178,0.001559683,0.0002439978,0.000693862,0.1329302,0.0009627736,0.002384664,0.002207864,0.0479627],"study_design_scores_gemma":[0.0001161692,0.001563792,0.3396294,0.00007667714,0.00043947,0.0001773531,0.0005770943,0.6510373,0.0004906235,0.00389586,0.001939222,0.00005705491],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9864464,0.0001149195,0.009522936,0.0001838041,0.00002707509,0.00008977883,0.002638402,0.00007921927,0.0008976031],"genre_scores_gemma":[0.9922677,0.00005952966,0.003876036,0.00001589744,0.000005669543,0.0001048751,0.00248474,0.00001894908,0.001166724],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02891022,"threshold_uncertainty_score":0.05748391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1152903462472055,"score_gpt":0.3177589984665322,"score_spread":0.2024686522193268,"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."}}