{"id":"W4396517799","doi":"10.1007/s00062-024-01414-2","title":"Endovascular Thrombectomy for Large Ischemic Strokes with ASPECTS 0–2: a Meta-analysis of Randomized Controlled Trials","year":2024,"lang":"en","type":"review","venue":"Clinical Neuroradiology","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universitätsklinikum Hamburg-Eppendorf","keywords":"Randomized controlled trial; Meta-analysis; Medicine; Ischemic stroke; Endovascular treatment; Stroke (engine); Internal medicine; Cardiology; Radiology; Ischemia; Engineering; Aneurysm","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":["metaresearch","metaepi_narrow","metaepi_broad"],"consensus_categories":["metaepi_broad"],"category_scores_codex":[0.02483074,0.00126243,0.1257472,0.001336418,0.00003846577,0.00002984305,0.0005885345,0.0009782421,0.0006059406],"category_scores_gemma":[0.03785775,0.0005711559,0.08721345,0.001151527,0.0006131254,0.00003155335,0.0002495003,0.001313025,0.00003633201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005791794,"about_ca_system_score_gemma":0.0005839362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004538275,"about_ca_topic_score_gemma":0.000003200506,"domain_scores_codex":[0.9796748,0.007393091,0.009820114,0.001836898,0.000570756,0.0007043862],"domain_scores_gemma":[0.9369287,0.05593164,0.004797502,0.001752855,0.0003265343,0.0002627242],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.03051344,0.0003261776,0.000003074974,0.008046173,0.9421677,0.0001794501,0.000007636222,0.000001192743,0.000001880881,0.001040996,0.01547541,0.002236882],"study_design_scores_gemma":[0.1113171,0.0003903931,3.130733e-7,0.0003026673,0.5084782,0.00004795312,0.000004086372,0.00008975736,9.690179e-7,0.00001188023,0.379158,0.0001986777],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00002783079,0.9749882,0.002774704,0.0004548568,0.0005981703,0.01802,0.0006465084,0.0001246259,0.002365127],"genre_scores_gemma":[0.0001965969,0.9878152,0.001725311,0.0006341359,0.0006479096,0.006042271,0.000823888,0.0001714519,0.001943218],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.4336895,"threshold_uncertainty_score":0.999674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2411365630851884,"score_gpt":0.4724131254970576,"score_spread":0.2312765624118693,"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."}}