{"id":"W4392468828","doi":"10.1136/lupus-2023-001140","title":"Systemic lupus in the era of machine learning medicine","year":2024,"lang":"en","type":"review","venue":"Lupus Science & Medicine","topic":"Systemic Lupus Erythematosus Research","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Bone and Joint Health Institute; University of Calgary","funders":"Lupus Foundation of America","keywords":"Artificial intelligence; Machine learning; Transformative learning; Big data; Field (mathematics); Medicine; Deep learning; Data science; Unsupervised learning; Artificial neural network; Computer science; Data mining; Psychology","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","sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.01496098,0.001052921,0.00575106,0.002798597,0.0002523104,0.00004929397,0.002588262,0.0004609116,0.0003530498],"category_scores_gemma":[0.005401475,0.0004723464,0.0004736595,0.009804458,0.004746866,0.0001789831,0.0003849486,0.004354532,0.0002701897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001120705,"about_ca_system_score_gemma":0.002417829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007893555,"about_ca_topic_score_gemma":0.00006713535,"domain_scores_codex":[0.9876522,0.0009158136,0.003066787,0.001605457,0.00536041,0.001399297],"domain_scores_gemma":[0.9941514,0.001756011,0.0009644944,0.002086834,0.0005217333,0.0005195483],"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":[0.0001188986,0.000249607,0.01122616,0.3954801,0.000420274,0.003422618,0.04287206,0.000006587256,0.0003986609,0.001949389,0.02141213,0.5224435],"study_design_scores_gemma":[0.001412754,0.0008200177,0.000003240563,0.321946,0.001784926,0.1918388,0.004350049,0.0003277854,0.000001146942,0.00004487939,0.4771514,0.0003190495],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0008905634,0.9808668,0.00001894447,0.002189774,0.005369567,0.003592121,0.0000128238,0.0001329122,0.006926416],"genre_scores_gemma":[0.005896227,0.9842072,0.00002768859,0.0001794459,0.001440127,0.0002885267,0.00008456338,0.0001366185,0.007739665],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.5221245,"threshold_uncertainty_score":0.9997728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06226594203170679,"score_gpt":0.3942032193297215,"score_spread":0.3319372772980147,"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."}}