{"id":"W4323975537","doi":"10.1016/j.autrev.2023.103314","title":"Differentially expressed genes in systemic sclerosis: Towards predictive medicine with new molecular tools for clinicians","year":2023,"lang":"en","type":"review","venue":"Autoimmunity Reviews","topic":"Systemic Sclerosis and Related Diseases","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Direction de l’hospitalisation et de l’offre de Soins; Direction Générale de l’offre de Soins","keywords":"Disease; Autoantibody; Scleroderma (fungus); Transplantation; Medicine; Hematopoietic stem cell transplantation; Microarray; Autoimmune disease; Multiple sclerosis; Fibrosis; Precision medicine; Gene; Bioinformatics; Biology; Computational biology; Immunology; Gene expression; Internal medicine; Pathology; Genetics; Antibody","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001956389,0.001195203,0.008818349,0.0005929783,0.0001432226,0.0000864652,0.0008200645,0.0009248974,0.0000815364],"category_scores_gemma":[0.001951953,0.0007054754,0.001603374,0.001354818,0.0002106433,0.0001502461,0.0001886973,0.001030412,0.0001464068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004010069,"about_ca_system_score_gemma":0.001780179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004727132,"about_ca_topic_score_gemma":0.0000285117,"domain_scores_codex":[0.9927137,0.001156742,0.003731639,0.001024873,0.0006438692,0.0007291409],"domain_scores_gemma":[0.9945944,0.0009300263,0.001859426,0.001962624,0.0002395504,0.0004139876],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0001120198,0.0001813999,0.000009727152,0.08600973,0.001093545,0.00003034424,0.0002568623,0.000002433453,0.0001492705,0.00002319511,0.002639046,0.9094924],"study_design_scores_gemma":[0.002377755,0.0006455457,0.000176427,0.5866175,0.00848177,0.00008489064,0.00022405,0.00001188306,0.000005116685,0.00001447886,0.4008434,0.0005172246],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001549644,0.9836538,0.0006935207,0.000140346,0.0006361203,0.01396031,0.0001972867,0.000292621,0.0002709996],"genre_scores_gemma":[0.00009793116,0.9928213,0.0001683977,0.0001900511,0.0005072705,0.003612773,0.001283486,0.0002932118,0.001025566],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9089752,"threshold_uncertainty_score":0.9995396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2631984765410674,"score_gpt":0.3894896281058191,"score_spread":0.1262911515647517,"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."}}