{"id":"W4200574889","doi":"10.1055/a-1588-9113","title":"CTP bei AIS: Einflussgrößen auf die Korrelation zwischen ASPECTS und Kernvolumen","year":2021,"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; Gynecology","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":[0.002294267,0.0005300604,0.0005870834,0.0006477472,0.0001884139,0.0008655979,0.0002438835,0.0007101061,0.003454164],"category_scores_gemma":[0.008890293,0.0002004514,0.0007634636,0.0007185695,0.0003493876,0.0009597245,0.0004586925,0.0008367016,0.0004503576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002240732,"about_ca_system_score_gemma":0.000332054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000550386,"about_ca_topic_score_gemma":0.0007452467,"domain_scores_codex":[0.9989402,0.0004525691,0.0001283651,0.0001634518,0.0002006276,0.0001147481],"domain_scores_gemma":[0.993669,0.004259079,0.001157727,0.00023676,0.0003558509,0.0003216007],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.02353604,0.0003704157,0.9076135,0.0004700217,0.001526063,0.0002962844,0.0002638774,0.001146718,0.003533527,0.0001783457,0.0005291985,0.06053599],"study_design_scores_gemma":[0.0001649095,0.004907556,0.9861924,0.0001753861,0.001499458,0.000645315,0.000232638,0.001273646,0.002241827,0.0008164648,0.001819814,0.0000306415],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.98915,0.006984569,0.0007508087,0.0002231044,0.00005008462,0.00004643587,0.0003400746,0.00001774006,0.002437227],"genre_scores_gemma":[0.9978211,0.0009312807,0.00035946,0.00006087725,0.00005650623,0.00005195837,0.0002418208,0.000007540467,0.00046955],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003454164,"threshold_uncertainty_score":0.01213342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02509439589202873,"score_gpt":0.2824037990092676,"score_spread":0.2573094031172389,"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."}}