{"id":"W4281686009","doi":"10.1093/rheumatology/keac319","title":"Changes on chest HRCT in systemic sclerosis-related interstitial lung disease after autologous haematopoietic stem cell transplantation","year":2022,"lang":"en","type":"article","venue":"Lara D. Veeken","topic":"Systemic Sclerosis and Related Diseases","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Medicine; Interstitial lung disease; High-resolution computed tomography; Transplantation; Internal medicine; Radiology; Hazard ratio; Hematopoietic stem cell transplantation; Ground-glass opacity; Lung; Confidence interval; Adenocarcinoma","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":[0.0009153006,0.0002391753,0.0003798768,0.000570914,0.0001350579,0.0002823809,0.000151458,0.0003259553,0.0008418534],"category_scores_gemma":[0.001772991,0.0001102708,0.0003538585,0.0003779875,0.0002671018,0.0002315625,0.0002227132,0.0002138158,0.0001686335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001565256,"about_ca_system_score_gemma":0.0001117957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005945258,"about_ca_topic_score_gemma":0.0008819229,"domain_scores_codex":[0.9995058,0.000207593,0.00005537256,0.0000868407,0.00009195152,0.00005245659],"domain_scores_gemma":[0.9987117,0.0003650881,0.0006552025,0.00005216409,0.00008231599,0.0001336498],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004921736,0.00003245183,0.9955493,0.00001540177,0.00004257296,0.0002505731,0.0000552681,0.00009708637,0.001141329,0.000003334289,0.00001914979,0.002301355],"study_design_scores_gemma":[0.000007394879,0.0002713035,0.9986136,0.000004237007,0.00002608706,0.0006332034,0.00003668302,0.0002123003,0.0001542226,0.00000440753,0.00003494005,0.000001482741],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995416,0.0002463285,0.00007023483,0.000006551799,0.000001013971,0.000004302795,0.00003213893,0.000002991588,0.00009469291],"genre_scores_gemma":[0.9998323,0.00003306969,0.00003468117,0.000004698718,0.000003420947,0.000001972226,0.00004975201,4.287951e-7,0.00003970456],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009153006,"threshold_uncertainty_score":0.004840672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01674173003390421,"score_gpt":0.2311169752423498,"score_spread":0.2143752452084456,"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."}}