{"id":"W4414419531","doi":"10.1161/svin.125.001810","title":"Large Core Thrombectomy: Feasibility of Simplified Protocol in Resource‐Limited Settings","year":2025,"lang":"en","type":"article","venue":"Stroke Vascular and Interventional Neurology","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Protocol (science); Core (optical fiber); Stroke (engine); Multicenter study; Data loss; Data transmission","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":[0.0236148,0.0006329764,0.001248181,0.0008467106,0.0006249466,0.001439979,0.001052259,0.0005927568,0.0049774],"category_scores_gemma":[0.03615379,0.0004596644,0.001060717,0.0009238331,0.0007180774,0.001825016,0.002376363,0.0006992776,0.0003985129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001510494,"about_ca_system_score_gemma":0.004357414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002056689,"about_ca_topic_score_gemma":0.002322376,"domain_scores_codex":[0.9709236,0.02382214,0.002565787,0.0008442478,0.001187146,0.0006570176],"domain_scores_gemma":[0.9790156,0.01070074,0.005175727,0.002493837,0.001222748,0.00139128],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.2458452,0.0425573,0.1854981,0.006132876,0.002543119,0.001193106,0.001904598,0.02752116,0.005390042,0.004096375,0.006578783,0.4707395],"study_design_scores_gemma":[0.2004829,0.3515212,0.3395919,0.002138957,0.00283946,0.002254114,0.001854145,0.06287761,0.006006227,0.007900915,0.02198913,0.0005434815],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9150947,0.001663519,0.02981612,0.001050145,0.0002203731,0.04488455,0.001089823,0.0001882741,0.005992489],"genre_scores_gemma":[0.926742,0.000672145,0.02985951,0.0003123381,0.0002604195,0.04098575,0.0008144912,0.0000197,0.0003336647],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0236148,"threshold_uncertainty_score":0.1248885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02376361963971402,"score_gpt":0.3302017652332619,"score_spread":0.3064381455935479,"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."}}