{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001192243,0.0005528482,0.001264786,0.002062815,0.0003096463,0.001282607,0.0006431025,0.001442924,0.002870812],"category_scores_gemma":[0.001954496,0.0002223114,0.0005226954,0.002102707,0.0007638202,0.001983176,0.0008011887,0.003037171,0.001411179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009795116,"about_ca_system_score_gemma":0.001847877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001120919,"about_ca_topic_score_gemma":0.001866747,"domain_scores_codex":[0.9995616,0.0001326483,0.00006123146,0.00005291031,0.0001608822,0.00003076563],"domain_scores_gemma":[0.9986576,0.0008616004,0.0001012268,0.00003770739,0.0002672212,0.00007463865],"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":[0.00006232539,0.00004076433,0.0002075255,0.01834003,0.0001199588,0.000164659,0.00009371428,0.0003316747,0.0005305624,0.01165928,0.05200038,0.9164491],"study_design_scores_gemma":[0.00001384903,0.0000522231,0.0006477958,0.008133612,0.00007932533,0.0008222865,0.00006320194,0.00009481385,0.0001365657,0.006879565,0.9830598,0.00001713157],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0000489127,0.9979087,0.00009339093,0.001169084,0.0002333922,0.000001944673,0.000007369875,0.000005543214,0.0005317871],"genre_scores_gemma":[0.0005112216,0.9978968,0.0001529607,0.0007849974,0.000396744,0.000004078123,0.00001247112,0.000001304056,0.0002394277],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002870812,"threshold_uncertainty_score":0.009603798,"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."}}