{"id":"W2949201926","doi":"10.1097/01.hs9.0000561740.44478.b8","title":"S865 CHANGE IN CLONE SIZE DOES NOT PREDICT RISK OF MAJOR ADVERSE VASCULAR EVENTS: RESULTS FROM THE INTERNATIONAL PNH REGISTRY","year":2019,"lang":"en","type":"article","venue":"HemaSphere","topic":"Complement system in diseases","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"clone (Java method); Medicine; Logistic regression; Paroxysmal nocturnal hemoglobinuria; Lactate dehydrogenase; Poisson regression; Internal medicine; Biology; Population; Environmental health; Genetics","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":[0.002391896,0.0002193017,0.0004771811,0.0008767738,0.0002889145,0.0008559544,0.0006508243,0.000389863,0.001989197],"category_scores_gemma":[0.0114675,0.0001964855,0.0007175089,0.001859353,0.0002222321,0.0007570256,0.00082791,0.0004803188,0.0004681482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003489951,"about_ca_system_score_gemma":0.0006429664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004251417,"about_ca_topic_score_gemma":0.00453578,"domain_scores_codex":[0.9983616,0.0005191616,0.0002326881,0.000415818,0.00032083,0.0001498489],"domain_scores_gemma":[0.9879842,0.002838967,0.005699402,0.001778211,0.001027146,0.0006720233],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003103494,0.00002205754,0.9975381,0.00001571885,0.00007597311,0.0000348044,0.00003689008,0.0001140323,0.00004118424,0.00002748653,0.0005189874,0.001264465],"study_design_scores_gemma":[0.00004464483,0.0001230259,0.9979463,0.00001592386,0.00009612157,0.000221479,0.0000861004,0.0007129086,0.00007947827,0.00004430864,0.0006229273,0.00000680889],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9888057,0.000243479,0.000287031,0.00008469906,0.00001147222,0.00003449222,0.008942843,0.00002021574,0.00157026],"genre_scores_gemma":[0.9900638,0.0001419018,0.0001835878,0.00006541687,0.00002215984,0.00004782898,0.009200477,0.00001280113,0.0002620323],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004251417,"threshold_uncertainty_score":0.01264966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01255560897282178,"score_gpt":0.2373896514976666,"score_spread":0.2248340425248448,"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."}}