{"id":"W2917157314","doi":"10.3171/2018.8.jns181095","title":"Topographic correlation of infarct area on CT perfusion with functional outcome in acute ischemic stroke","year":2019,"lang":"en","type":"article","venue":"Journal of neurosurgery","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Penumbra; Modified Rankin Scale; Stroke (engine); Perfusion scanning; Confounding; Internal medicine; Infarction; Cardiology; Collateral circulation; Logistic regression; Perfusion; Ischemia; Ischemic stroke; Myocardial infarction","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003554843,0.0001570276,0.0004879292,0.0009176972,0.0000152854,0.00000803306,0.00007648529,0.0000452476,0.0001907362],"category_scores_gemma":[0.0001060945,0.0001134535,0.0002200979,0.0004032263,0.00003941379,0.0001500856,0.00003547559,0.0005152914,0.00001094501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006846594,"about_ca_system_score_gemma":0.0000768648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000036489,"about_ca_topic_score_gemma":4.176616e-7,"domain_scores_codex":[0.9981912,0.00003491592,0.0007262938,0.0001642654,0.0007109415,0.000172356],"domain_scores_gemma":[0.9986488,0.0002220911,0.000677438,0.000227786,0.0001420736,0.00008180956],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001732131,0.0001802953,0.9191341,0.00004355168,0.00008954514,0.0003217739,0.00002014485,0.0004785457,0.07107845,0.000005587863,0.005857056,0.001058765],"study_design_scores_gemma":[0.002547048,0.0009731831,0.9834849,0.00035859,0.0001668835,0.000924056,0.00007213454,0.0003514316,0.004753705,0.000001327617,0.006256779,0.0001099274],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942467,0.00003789532,0.0001178248,0.0007266339,0.0006362451,0.0002021019,0.000004785952,0.000008517297,0.004019359],"genre_scores_gemma":[0.9973771,0.00006788833,0.0001174824,0.0005609916,0.00006912623,0.00000193863,0.000007235585,0.00002070947,0.001777551],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06632474,"threshold_uncertainty_score":0.4626501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01802964374820975,"score_gpt":0.2414059079252664,"score_spread":0.2233762641770567,"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."}}