{"id":"W4379522269","doi":"10.1136/annrheumdis-2023-eular.6101","title":"OP0229 CHANGES IN THE CAUSES AND PREDICTORS OF LUPUS MORTALITY IN SPAIN THROUGH THE LAST DECADES: DATA FROM THE RELESSER REGISTRY","year":2023,"lang":"en","type":"article","venue":"Annals of the Rheumatic Diseases","topic":"Systemic Lupus Erythematosus Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"AstraZeneca (Canada)","funders":"","keywords":"Medicine; Systemic lupus erythematosus; Data science; Demography; Internal medicine; Disease; Computer science","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":[0.001363214,0.0004285966,0.0008939156,0.002129509,0.000217031,0.001261998,0.0005539295,0.0005632962,0.001808299],"category_scores_gemma":[0.002765044,0.0002269098,0.001011061,0.003906801,0.000172755,0.0005054602,0.000776462,0.0006037321,0.0007324168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007987212,"about_ca_system_score_gemma":0.0009591413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03884915,"about_ca_topic_score_gemma":0.02376456,"domain_scores_codex":[0.9992724,0.0001169226,0.0001363849,0.0002024432,0.0001102469,0.0001616455],"domain_scores_gemma":[0.9976102,0.0003100254,0.001058202,0.0002799457,0.0005183818,0.0002232198],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003202969,0.00003095421,0.9933435,0.00008881745,0.0002023743,0.00008703946,0.00005743199,0.0001926245,0.00009040751,0.00004826021,0.002374461,0.003163911],"study_design_scores_gemma":[0.0000231937,0.00002613233,0.9976694,0.00003453239,0.0000649799,0.00008661686,0.0001214656,0.00009342242,0.00002766082,0.00002954848,0.00181807,0.000005003444],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9173715,0.003058441,0.0002870732,0.0003553266,0.00007701942,0.00002085806,0.0748772,0.00007069931,0.003881995],"genre_scores_gemma":[0.9339935,0.002461872,0.0002537547,0.0001955626,0.000104652,0.00006029061,0.06113116,0.00005425412,0.001745053],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03884915,"threshold_uncertainty_score":0.07724601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.153630833335072,"score_gpt":0.391383428874528,"score_spread":0.237752595539456,"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."}}