{"id":"W2070343155","doi":"10.1089/neu.2007.0339","title":"Diffusion-Weighted Magnetic Resonance Imaging Improves Outcome Prediction in Adult Traumatic Brain Injury","year":2007,"lang":"en","type":"article","venue":"Journal of Neurotrauma","topic":"Traumatic Brain Injury Research","field":"Medicine","cited_by":74,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"American Academy of Neurology","keywords":"White matter; Glasgow Coma Scale; Magnetic resonance imaging; Effective diffusion coefficient; Traumatic brain injury; Medicine; Diffusion MRI; Glasgow Outcome Scale; Nuclear medicine; Diffuse axonal injury; Radiology; Surgery","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001934985,0.0002779737,0.0006631364,0.001087681,0.00008132393,0.00005417995,0.0003230429,0.0001257606,0.0002073106],"category_scores_gemma":[0.001552876,0.0002263962,0.0002420611,0.0007985233,0.0002046755,0.0003594278,0.00005720286,0.001317797,0.00002733588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002373043,"about_ca_system_score_gemma":0.0001430191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002746619,"about_ca_topic_score_gemma":0.00002202724,"domain_scores_codex":[0.9956731,0.0001799129,0.001982115,0.0003044771,0.001207408,0.0006529993],"domain_scores_gemma":[0.997663,0.0006788166,0.000430526,0.0004228617,0.0004141968,0.0003906181],"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":[0.003457985,0.001088508,0.3114794,0.0004140273,0.00002569992,0.002115383,0.001671682,0.000001478427,0.09927939,0.0001370015,0.004537031,0.5757924],"study_design_scores_gemma":[0.005434484,0.001818855,0.9836976,0.0007199672,0.00004873161,0.002033334,0.0005444726,0.002065257,0.001567987,0.0002763014,0.001618952,0.0001740748],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916268,0.000590456,0.0003659524,0.004944617,0.0005223099,0.0006504987,0.00001023243,0.0000475514,0.001241584],"genre_scores_gemma":[0.9952673,0.00005328266,0.001855907,0.00164906,0.0004018722,0.00000883853,0.00000219821,0.00006228661,0.000699226],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6722181,"threshold_uncertainty_score":0.9232167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06603027756522939,"score_gpt":0.3662055719221755,"score_spread":0.3001752943569461,"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."}}