{"id":"W4402272553","doi":"10.1136/lupus-2024-la.23","title":"22 Lupus in my lifetime – as tears go by","year":2024,"lang":"en","type":"article","venue":"Abstracts","topic":"Systemic Lupus Erythematosus Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Tears; Systemic lupus erythematosus; Computer science; Medicine; Immunology; Internal medicine","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005711453,0.0001527378,0.0002737262,0.0002306434,0.00002313801,0.0000678112,0.0001357292,0.0001580134,0.0009073174],"category_scores_gemma":[0.0003437473,0.0001279475,0.00007609261,0.0003546678,0.00005776359,0.0001167168,0.00005088184,0.0004707188,0.009552373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002083368,"about_ca_system_score_gemma":0.0003019229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000327017,"about_ca_topic_score_gemma":0.00002787821,"domain_scores_codex":[0.998206,0.00003870963,0.0003701018,0.0003632422,0.0005733221,0.0004485772],"domain_scores_gemma":[0.9990672,0.0002629131,0.00003023645,0.0003518123,0.00004221347,0.000245644],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002018474,0.0003892471,0.05951859,0.002251326,0.0001982131,0.006926463,0.003761543,0.00001560093,0.05588727,0.0004113482,0.8576738,0.01276478],"study_design_scores_gemma":[0.003742384,0.0005305203,0.01943336,0.005814763,0.00008619812,0.04267141,0.002036063,0.0005211429,0.01654266,0.0009694753,0.9070101,0.0006418824],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8754116,0.004235291,0.000001587136,0.001956219,0.0005692886,0.0004161426,0.000007874657,0.0001477496,0.1172543],"genre_scores_gemma":[0.9222304,0.0001772186,0.00005675761,0.0002318116,0.0001919302,0.00003387145,0.00001935081,0.00004846982,0.07701022],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04933638,"threshold_uncertainty_score":0.9934489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01388136649995998,"score_gpt":0.3118360075170046,"score_spread":0.2979546410170446,"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."}}