{"id":"W4416970992","doi":"10.1055/s-0045-1813646","title":"Comparison of Antiplatelets and Anticoagulants for Secondary Stroke Prevention in Ischemic Stroke Patients with Cancer: A Meta-Analysis","year":2025,"lang":"en","type":"article","venue":"Asian Journal of Neurosurgery","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Stroke (engine); Odds ratio; Antithrombotic; Confidence interval; Ischemic stroke; Platelet aggregation inhibitor; Secondary prevention","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":[0.0003339645,0.0001800923,0.001695809,0.001112085,0.00002613667,0.0000159793,0.00009770793,0.0000596203,0.00004264526],"category_scores_gemma":[0.00007648722,0.0001368381,0.0005852946,0.0005459936,0.00005992639,0.0001392112,0.00004140319,0.0002564073,1.429138e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003494018,"about_ca_system_score_gemma":0.0001346114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005425299,"about_ca_topic_score_gemma":0.00000883994,"domain_scores_codex":[0.9982101,0.00006103335,0.0009587233,0.0002182453,0.00034466,0.0002072252],"domain_scores_gemma":[0.9985145,0.0001387439,0.0008579064,0.0001987045,0.0002104694,0.00007969835],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009699478,0.0003953113,0.948033,0.0002565899,0.03178894,0.0000387474,0.00007722432,0.00004917594,0.00477465,0.000001569267,0.00571148,0.007903404],"study_design_scores_gemma":[0.004791721,0.0005544641,0.876815,0.0001901213,0.09451269,0.00001989229,0.0002634962,0.0002383278,0.02004525,0.000003920144,0.00240372,0.0001613762],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957399,0.001174421,0.0009916238,0.0007304613,0.000121784,0.00039184,0.00009193132,0.000004787187,0.0007532132],"genre_scores_gemma":[0.9983798,0.00006944397,0.0008836499,0.0001391499,0.00001941376,0.0000111363,0.000014829,0.00001439626,0.0004682206],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07121793,"threshold_uncertainty_score":0.5580095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03954485642290427,"score_gpt":0.3332264301355663,"score_spread":0.293681573712662,"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."}}