{"id":"W4281751054","doi":"10.1101/2022.05.31.22275743","title":"Cilostazol and isosorbide mononitrate for the prevention of progression of cerebral small vessel disease: Baseline data and statistical analysis plan for the Lacunar Intervention Trial-2 (LACI-2) (ISRCTN14911850)","year":2022,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Neurological Disorders and Treatments","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Medical Research Council; Fondation Leducq; Stroke Association; British Heart Foundation; National Institute for Health and Care Research; Alzheimer's Society","keywords":"Medicine; Lacunar stroke; Tolerability; Interquartile range; Cilostazol; Montreal Cognitive Assessment; Internal medicine; Stroke (engine); Clinical endpoint; Modified Rankin Scale; Randomized controlled trial; Physical therapy; Dementia; Cardiology; Adverse effect; Aspirin; Disease; Ischemia; Ischemic stroke","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010702,0.000223202,0.000430213,0.00007720743,0.0002310023,0.00006132136,0.0005801364,0.00006729848,0.00005452428],"category_scores_gemma":[0.001313794,0.0001259206,0.0002199789,0.0001800625,0.0002105597,0.00005595246,0.0009285504,0.0002114163,1.445943e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008891061,"about_ca_system_score_gemma":0.00004793716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003199434,"about_ca_topic_score_gemma":0.00004263306,"domain_scores_codex":[0.9976819,0.0005247244,0.0005601192,0.0007697216,0.0002711105,0.0001924556],"domain_scores_gemma":[0.9959634,0.002594854,0.0005496083,0.0007735431,0.00004664285,0.00007197146],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.2539645,0.01676494,0.3642964,0.01038549,0.006878192,0.00009293701,0.001141991,0.003502255,0.007128133,0.01657049,0.001871647,0.317403],"study_design_scores_gemma":[0.03994992,0.006517112,0.2543792,0.0003529817,0.01770888,0.00000356742,0.0003328728,0.6036944,0.00418694,0.06964006,0.002373255,0.0008607878],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9375266,0.001286881,0.04567885,0.0009903531,0.0001955447,0.004462274,0.009834325,0.00001949315,0.00000570614],"genre_scores_gemma":[0.9968325,0.0005939276,0.0005119038,0.000054917,0.0000301709,0.0009290471,0.0009499388,0.00001961347,0.00007793072],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6001921,"threshold_uncertainty_score":0.5134894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1375205827767355,"score_gpt":0.3755904004306783,"score_spread":0.2380698176539428,"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."}}