{"id":"W4402030402","doi":"10.1055/b-0044-205908","title":"7 Identifying Patients for Stroke ThrombectomyStroke thrombectomy, identifying patients for","year":2024,"lang":"en","type":"book-chapter","venue":"","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Stroke (engine); Cardiology; Internal medicine; Engineering; Mechanical engineering","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":[0.0008476143,0.0006678595,0.0005848965,0.001889861,0.001167217,0.002258264,0.0008805131,0.001532924,0.01739601],"category_scores_gemma":[0.00357139,0.0002465194,0.0007843789,0.0007935374,0.0002905537,0.001207706,0.001147512,0.001543479,0.009815085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009281134,"about_ca_system_score_gemma":0.003303177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006350126,"about_ca_topic_score_gemma":0.007665312,"domain_scores_codex":[0.9991087,0.0001852963,0.0001875681,0.0001070183,0.0002437451,0.0001675232],"domain_scores_gemma":[0.9986501,0.0001863568,0.0001899365,0.00003783333,0.0006070283,0.0003288169],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004643478,0.0006385614,0.3226205,0.001042645,0.00006891049,0.008520884,0.0007659547,0.0004309628,0.002905638,0.004197939,0.22038,0.4379638],"study_design_scores_gemma":[0.0003468113,0.001406068,0.4370602,0.008641449,0.0003826931,0.04105669,0.006781552,0.003917475,0.005999378,0.01675041,0.4773528,0.0003044939],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.3293158,0.06436542,0.04330859,0.1158899,0.01105081,0.009356639,0.01471326,0.002675972,0.4093237],"genre_scores_gemma":[0.7417706,0.05651495,0.06940107,0.03286047,0.008697515,0.004585363,0.02123415,0.0004236893,0.06451219],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01739601,"threshold_uncertainty_score":0.05819541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04011156257325939,"score_gpt":0.3039284601851132,"score_spread":0.2638168976118538,"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."}}