{"id":"W3202285089","doi":"10.1093/rheumatology/keab735","title":"Association between autoantibodies in systemic sclerosis and cancer in a national registry","year":2021,"lang":"en","type":"article","venue":"Lara D. Veeken","topic":"Systemic Sclerosis and Related Diseases","field":"Medicine","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Jewish General Hospital; University of Calgary; Université de Montréal","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Autoantibody; Internal medicine; Cancer; Odds ratio; Oncology; Cohort; Cancer registry; Fibrillarin; Breast cancer; Immunology; Antibody","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":[],"consensus_categories":[],"category_scores_codex":[0.0002916401,0.00009030232,0.0002961212,0.0001022027,0.00002966506,0.00002689296,0.00003488206,0.0001762458,0.00004474336],"category_scores_gemma":[0.0003292711,0.00008391722,0.00004520272,0.0002854657,0.00001625843,0.0000620861,0.00002945522,0.0001588779,0.000008092854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004554663,"about_ca_system_score_gemma":0.0002399533,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003808067,"about_ca_topic_score_gemma":0.0001535962,"domain_scores_codex":[0.9988964,0.00007685937,0.0003043931,0.000228695,0.0003230374,0.0001705696],"domain_scores_gemma":[0.999477,0.0001251788,0.0001090157,0.0001018839,0.0001248112,0.00006213394],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001425117,0.00003438445,0.98694,0.0001700591,0.0001028942,0.0000212926,0.0002698747,0.00001600422,0.01018988,0.00003809893,0.001041544,0.001161728],"study_design_scores_gemma":[0.001576646,0.00001050925,0.9916214,0.00515844,0.00008762441,0.00001576404,0.0003598641,0.0001365319,0.0006861842,0.00004333054,0.0002122872,0.00009144762],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9735494,0.02339593,0.00000168893,0.001573908,0.0001196781,0.0001578164,0.00007515484,0.00002645998,0.001099979],"genre_scores_gemma":[0.9931084,0.005230409,0.00002720052,0.0001606105,0.0001771215,0.00003739746,0.00004657551,0.00001097448,0.001201348],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01955898,"threshold_uncertainty_score":0.3422045,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03104594976923455,"score_gpt":0.285651180837762,"score_spread":0.2546052310685274,"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."}}