{"id":"W4388048113","doi":"10.1038/s41598-023-45232-x","title":"Predictors of functional outcome after thrombectomy for M2 occlusions: a large scale experience from clinical practice","year":2023,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universitätsmedizin der Johannes Gutenberg-Universität Mainz; Universitätsklinikum Hamburg-Eppendorf; RWTH Aachen University; Universitätsmedizin Göttingen","keywords":"Medicine; Modified Rankin Scale; Thrombolysis; Odds ratio; Internal medicine; Confidence interval; Stroke (engine); Logistic regression; Intracerebral hemorrhage; Ischemic stroke; Surgery; Cardiology; Ischemia; Myocardial infarction; Subarachnoid hemorrhage","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":[0.00308322,0.000260873,0.0005170905,0.0007148079,0.000298668,0.000915363,0.0003982254,0.0004272969,0.0007274318],"category_scores_gemma":[0.009059569,0.0002075165,0.0002788869,0.001314224,0.0005599019,0.0006479825,0.000823423,0.0003421504,0.0002563015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003845004,"about_ca_system_score_gemma":0.0006583071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003031535,"about_ca_topic_score_gemma":0.004094244,"domain_scores_codex":[0.9976683,0.001131886,0.000199095,0.0004528265,0.0003684161,0.0001793484],"domain_scores_gemma":[0.9954052,0.001462692,0.001678585,0.0005406334,0.0003842931,0.0005285207],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001054625,0.00005162058,0.99422,0.00001956971,0.00005527111,0.0001131835,0.0005527988,0.00002630863,0.0001239679,0.00002030046,0.0002366074,0.004474934],"study_design_scores_gemma":[0.00001956679,0.0001824999,0.9980793,0.00001791602,0.00002905047,0.000384064,0.0005705677,0.0001202158,0.00004551698,0.00003793042,0.0005047035,0.000008724529],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988128,0.0004817646,0.0001270632,0.0001099285,0.000003911643,0.00001434432,0.000155847,0.000002434462,0.0002919756],"genre_scores_gemma":[0.9990727,0.0003539904,0.0001533818,0.00006565481,0.0000204265,0.00001585272,0.0002467698,0.000002389614,0.00006873626],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00308322,"threshold_uncertainty_score":0.0163058,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04646982882264784,"score_gpt":0.3747027811737608,"score_spread":0.3282329523511129,"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."}}