{"id":"W4385264178","doi":"10.1227/neu.0000000000002610","title":"Endovascular Thrombectomy for the Treatment of Large Ischemic Stroke: A Systematic Review and Meta-Analysis of Randomized Control Trials","year":2023,"lang":"en","type":"review","venue":"Neurosurgery","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Neurological Disorders and Stroke; National Institutes of Health","keywords":"Medicine; Randomized controlled trial; Meta-analysis; Stroke (engine); Ischemic stroke; Endovascular treatment; MEDLINE; Surgery; Internal medicine; Ischemia; 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":[0.01089002,0.0007691109,0.06050841,0.0006765614,0.00004317466,0.00001728757,0.0002366423,0.0001842529,0.0001381936],"category_scores_gemma":[0.009255833,0.0003374522,0.03309264,0.001004615,0.000140216,0.00002572729,0.00005826456,0.0001488884,0.00000465825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006254973,"about_ca_system_score_gemma":0.000135663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001566066,"about_ca_topic_score_gemma":0.000001343002,"domain_scores_codex":[0.9905449,0.00244993,0.005314707,0.0006495959,0.0006821769,0.0003587207],"domain_scores_gemma":[0.9599916,0.03338793,0.004679511,0.001640807,0.0002101772,0.00009001859],"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":[0.0003636245,0.0001069986,2.477312e-7,0.4862517,0.5106269,0.000009344801,0.000009494835,3.50391e-7,0.000001695586,0.000008814149,0.002419121,0.0002017673],"study_design_scores_gemma":[0.02169406,0.00006662936,1.04004e-7,0.01547855,0.8088017,0.00001242409,0.000006731897,0.00004218513,0.000007684446,2.440388e-7,0.1537453,0.0001444402],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000001821455,0.9638594,0.0004649204,0.000190922,0.0001093648,0.03327509,0.001995958,0.00004017883,0.00006228038],"genre_scores_gemma":[0.00001692407,0.982159,0.0000415449,0.0003264347,0.00004733248,0.0149991,0.0002054553,0.00009522878,0.002109047],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.4707731,"threshold_uncertainty_score":0.9999077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1524282903058425,"score_gpt":0.3916450508305637,"score_spread":0.2392167605247212,"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."}}