{"id":"W4387300943","doi":"10.1038/s41584-023-01032-1","title":"Back to the future: targeting the extracellular matrix to treat systemic sclerosis","year":2023,"lang":"en","type":"review","venue":"Nature Reviews Rheumatology","topic":"Systemic Sclerosis and Related Diseases","field":"Medicine","cited_by":41,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Fibrosis; Extracellular matrix; Medicine; Pulmonary fibrosis; Myofibroblast; Immunology; Connective tissue; Connective tissue disease; Scleroderma (fungus); Pathology; Autoimmune disease; Disease; Biology; Cell biology","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","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.002227033,0.001193349,0.006570481,0.0004074958,0.0004147932,0.0001040855,0.001425578,0.002396187,0.0003198812],"category_scores_gemma":[0.001028337,0.0004943804,0.002373589,0.002697716,0.00008916106,0.00003792014,0.0003803303,0.00263903,0.01876105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000284232,"about_ca_system_score_gemma":0.0003760642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003042595,"about_ca_topic_score_gemma":0.00000858398,"domain_scores_codex":[0.9924502,0.001640628,0.003010146,0.001295754,0.0006170665,0.0009861992],"domain_scores_gemma":[0.9946914,0.00105212,0.00123968,0.002297076,0.0001584008,0.0005613008],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002257183,0.00004691382,0.00001401156,0.08387176,0.000492637,0.00003003588,0.000172349,0.000001727476,0.00001460729,0.000514662,0.3543528,0.5604659],"study_design_scores_gemma":[0.0002132454,0.00005084062,0.00000238195,0.218958,0.002645471,0.001908839,0.0001708734,0.000002330698,9.21441e-7,0.000001654391,0.7756566,0.0003888231],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00002287004,0.9805073,0.00003048563,0.003651076,0.004177432,0.01119883,0.00009176463,0.0001608602,0.0001594489],"genre_scores_gemma":[0.00002951363,0.9909961,0.0001154321,0.0006545216,0.001172778,0.001922614,0.0002256657,0.0002547542,0.004628615],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.5600771,"threshold_uncertainty_score":0.9997508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05164443474006113,"score_gpt":0.346643916612032,"score_spread":0.2949994818719708,"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."}}