{"id":"W4411905915","doi":"10.1007/s00701-025-06598-1","title":"Stockholm Score of Lesion Detection on Computed Tomography following Mild Traumatic Brain Injury (SELECT-TBI) Study: Pilot Analysis and Statistical Analysis Plan","year":2025,"lang":"en","type":"article","venue":"Acta Neurochirurgica","topic":"Traumatic Brain Injury and Neurovascular Disturbances","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Svenska Läkaresällskapet; Karolinska Institutet","keywords":"Medicine; Traumatic brain injury; Receiver operating characteristic; Neuroradiology; Emergency department; Population; Radiology; Neurology; Internal medicine; Psychiatry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004366066,0.0003440812,0.001198857,0.002006213,0.0002449853,0.00005246357,0.000188265,0.00008881171,0.00003152666],"category_scores_gemma":[0.0002439184,0.0002958412,0.0006017844,0.005275622,0.0001131239,0.00007535352,0.00006320458,0.0004009817,0.000001378356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002412216,"about_ca_system_score_gemma":0.00003957489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008210636,"about_ca_topic_score_gemma":0.0002091072,"domain_scores_codex":[0.9971531,0.0004707719,0.0007323353,0.0007564959,0.0005806664,0.0003066079],"domain_scores_gemma":[0.9978178,0.001102618,0.0002126894,0.0006510143,0.00005527657,0.0001606723],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01074639,0.01040633,0.8186316,0.001204536,0.06224391,0.0003624634,0.002311546,0.0004214112,0.03877284,0.0008218007,0.001242269,0.05283485],"study_design_scores_gemma":[0.002195505,0.003802298,0.9728243,0.0001267271,0.01437999,0.000005543826,0.0002054489,0.002729323,0.003348805,0.00008398611,0.00007662652,0.0002214328],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923804,0.0000787251,0.005750026,0.0003124086,0.0001185475,0.0008768325,0.00003573047,0.0001099319,0.000337362],"genre_scores_gemma":[0.9990116,0.00001333323,0.0002476568,0.0005189136,0.0000223849,0.00003966445,0.00007933572,0.00002104345,0.00004604652],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1541927,"threshold_uncertainty_score":0.9999494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03974743442838189,"score_gpt":0.312875193304782,"score_spread":0.2731277588764001,"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."}}