{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.06114377,0.002162582,0.004653636,0.001607558,0.000765382,0.002481938,0.001662645,0.002299197,0.0198348],"category_scores_gemma":[0.04882476,0.001095699,0.005827731,0.002845141,0.001136846,0.001657125,0.001465846,0.003808837,0.003813032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001781952,"about_ca_system_score_gemma":0.005784783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001426321,"about_ca_topic_score_gemma":0.001609805,"domain_scores_codex":[0.9433725,0.0452353,0.003509134,0.001988661,0.004335771,0.001558597],"domain_scores_gemma":[0.9829624,0.005453288,0.004298782,0.002368446,0.003311459,0.001605656],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"not_applicable","study_design_scores_codex":[0.8849296,0.002940335,0.01134967,0.004613718,0.005928041,0.0001403446,0.0001910254,0.002674386,0.001388692,0.002535438,0.03090139,0.05240739],"study_design_scores_gemma":[0.8052633,0.06122024,0.06081842,0.001973205,0.01039472,0.0002230177,0.0001674412,0.009592935,0.002287731,0.007227691,0.04059268,0.0002386255],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.1251952,0.008806362,0.06472909,0.005153267,0.001617385,0.6483418,0.1267794,0.001608629,0.01776883],"genre_scores_gemma":[0.1340613,0.001361957,0.05931258,0.001511594,0.0004359889,0.7610503,0.03717592,0.0002585656,0.004831791],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.06114377,"threshold_uncertainty_score":0.323363,"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."}}