{"id":"W4400178581","doi":"10.1055/a-2267-2105","title":"Thrombektomie mit NeVa Stent-Retriever: hohe Effektivität und Sicherheit","year":2024,"lang":"de","type":"article","venue":"Neuroradiologie Scan","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Labrador Retriever; Surgery","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":[0.0009280917,0.0003148717,0.0006449386,0.0004525938,0.0002295816,0.0006652917,0.0001313266,0.0004545345,0.00254344],"category_scores_gemma":[0.003700538,0.0001015529,0.000346067,0.0002108774,0.0003544597,0.0006349352,0.0002732461,0.0005834477,0.0005897993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002343864,"about_ca_system_score_gemma":0.0003427859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002501548,"about_ca_topic_score_gemma":0.0005886088,"domain_scores_codex":[0.9994965,0.0001326597,0.00004219736,0.00007382259,0.0002132704,0.00004162739],"domain_scores_gemma":[0.9984936,0.0008167037,0.0003204147,0.0001021714,0.0001271901,0.000139921],"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":[0.004860772,0.0008375504,0.1277709,0.002508048,0.0009042595,0.02409428,0.0005736154,0.0007081333,0.1211676,0.001331843,0.006364597,0.7088784],"study_design_scores_gemma":[0.00108633,0.01512249,0.4146,0.001132154,0.001770837,0.4174798,0.0005789367,0.005833091,0.08202162,0.003795705,0.05639434,0.0001846683],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9067478,0.07070947,0.006615528,0.003329409,0.000311059,0.0001686908,0.0001459953,0.0001442658,0.01182782],"genre_scores_gemma":[0.9847074,0.009424385,0.002917684,0.0006390098,0.00043858,0.00003718808,0.0002019919,0.00002342316,0.001610407],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00254344,"threshold_uncertainty_score":0.008508682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02971615992900897,"score_gpt":0.3056898802007987,"score_spread":0.2759737202717897,"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."}}