{"id":"W2010378000","doi":"10.1016/j.neurobiolaging.2008.05.003","title":"Is age a key determinant of mortality and neurological outcome after acute traumatic spinal cord injury?","year":2008,"lang":"en","type":"article","venue":"Neurobiology of Aging","topic":"Spinal Cord Injury Research","field":"Medicine","cited_by":81,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; University Health Network","funders":"","keywords":"Medicine; Spinal cord; Spinal cord injury; White matter; Univariate analysis; Myelin; Young adult; Multivariate analysis; Anesthesia; Internal medicine; Central nervous system; Magnetic resonance imaging; Psychiatry","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":[0.0002075404,0.0001735572,0.0006428595,0.0001692799,0.00004545413,0.000002836808,0.0001436069,0.0001144002,0.00007817125],"category_scores_gemma":[0.00009933746,0.0001330341,0.000128512,0.0001538839,0.0008190435,0.00004701251,0.0001601666,0.0003908106,0.000006370184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000917442,"about_ca_system_score_gemma":0.0000369438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000422402,"about_ca_topic_score_gemma":0.000004244869,"domain_scores_codex":[0.9984788,0.0001357279,0.0005242032,0.0003638371,0.0001716248,0.0003258503],"domain_scores_gemma":[0.999233,0.00007543994,0.0001481293,0.0003583487,0.00007575568,0.0001093275],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005236086,0.0001142574,0.9531367,0.0002445079,0.00005552917,0.001062556,0.00008902477,5.337614e-8,0.03862875,0.000006641808,0.00003982281,0.001386031],"study_design_scores_gemma":[0.0005756787,0.01544615,0.9742781,0.00004225627,0.0001179831,0.0008625753,0.000009066421,0.0000414301,0.008469152,0.00002719135,0.00004027399,0.00009013237],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989032,0.0000790006,0.00001459253,0.0004945219,0.00008706888,0.0002844956,0.00001906283,0.00002368257,0.00009437248],"genre_scores_gemma":[0.9981598,0.00007851512,0.0005121625,0.001115159,0.00003007624,0.000014012,0.000002919135,0.00001475662,0.00007259964],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03015959,"threshold_uncertainty_score":0.5424972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1356224451239747,"score_gpt":0.425123283309006,"score_spread":0.2895008381850313,"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."}}