{"id":"W4206625526","doi":"10.1093/jalm/jfab131","title":"Autoantibodies in Common Connective Tissue Diseases: A Primer for Laboratory Professionals","year":2021,"lang":"en","type":"article","venue":"The Journal of Applied Laboratory Medicine","topic":"Systemic Lupus Erythematosus Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hamilton Health Sciences; Hamilton Regional Laboratory Medicine Program; McMaster University","funders":"","keywords":"Autoantibody; Medicine; Context (archaeology); Connective tissue; Intensive care medicine; Health professionals; Clinical Practice; Pathology; Medical physics; Immunology; Family medicine; Health care; 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":[],"consensus_categories":[],"category_scores_codex":[0.003090115,0.0002503548,0.001171973,0.0003017549,0.0001258745,0.000009870231,0.0002806288,0.0001375003,0.0002462926],"category_scores_gemma":[0.001212673,0.0001425275,0.00006783973,0.001033973,0.0003738969,0.00009418127,0.00008020375,0.0006211541,0.00001263734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002576939,"about_ca_system_score_gemma":0.0021336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005932971,"about_ca_topic_score_gemma":0.00001621176,"domain_scores_codex":[0.9969459,0.000386613,0.001063998,0.0002208277,0.0009919346,0.0003907981],"domain_scores_gemma":[0.9948524,0.001803035,0.0005872919,0.0005082532,0.001957089,0.0002918879],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.01506568,0.002279958,0.0501883,0.005511321,0.001733208,0.001785825,0.03691892,0.0000564599,0.6877743,0.009987874,0.1864256,0.002272552],"study_design_scores_gemma":[0.07381463,0.005249592,0.04183767,0.02460829,0.003780291,0.006800259,0.247183,0.0002672266,0.4172218,0.009443459,0.1683292,0.001464632],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9673649,0.01865507,0.0001588533,0.009856383,0.0006541191,0.001698817,0.00008995739,0.00003321484,0.001488671],"genre_scores_gemma":[0.9953026,0.0004987216,0.0003898418,0.002199525,0.001071621,0.00007483186,0.00001877507,0.00006289062,0.0003812573],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2705525,"threshold_uncertainty_score":0.5812104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02053458032029477,"score_gpt":0.3565916425437262,"score_spread":0.3360570622234315,"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."}}