{"id":"W3108626242","doi":"10.1016/j.jocn.2020.11.003","title":"Injury volume extracted from MRI predicts neurologic outcome in acute spinal cord injury: A prospective TRACK-SCI pilot study","year":2020,"lang":"en","type":"article","venue":"Journal of Clinical Neuroscience","topic":"Spinal Cord Injury Research","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal; Université de Montréal","funders":"National Institute for Occupational Safety and Health; U.S. Department of Defense","keywords":"Medicine; Spinal cord injury; Spinal cord; Magnetic resonance imaging; Lesion; Prospective cohort study; Cord; Radiology; Physical medicine and rehabilitation; 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":["metaresearch","metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00301549,0.0003645383,0.001566683,0.0003566851,0.0001201913,0.0001302741,0.001278567,0.0001418055,0.000147558],"category_scores_gemma":[0.01713995,0.0002767738,0.0003239226,0.001901092,0.0006901875,0.0007193658,0.0004171468,0.004224179,0.00007472646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007419707,"about_ca_system_score_gemma":0.0007855328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002892257,"about_ca_topic_score_gemma":0.000006975764,"domain_scores_codex":[0.9919202,0.0008726753,0.003220542,0.0010592,0.002233092,0.0006943137],"domain_scores_gemma":[0.9959799,0.0004721551,0.001174312,0.0005490722,0.0006014335,0.001223096],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.1196276,0.003825861,0.8445535,0.00001613601,0.00002441218,0.003753809,0.00003252071,0.000004193442,0.02406811,0.000002910271,0.0006866861,0.003404191],"study_design_scores_gemma":[0.002894043,0.3108327,0.6841009,0.00003496645,0.0001223911,0.0001150657,0.00005609974,0.000977523,0.0001677455,0.00006033431,0.0004919346,0.0001462724],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9871764,0.00003753167,0.0002559838,0.009523024,0.001479707,0.001310648,0.00004018766,0.00006068459,0.000115859],"genre_scores_gemma":[0.9902531,0.00008587508,0.0006436274,0.007979377,0.0008619652,0.00001480345,7.837669e-7,0.00003823413,0.0001222406],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3070068,"threshold_uncertainty_score":0.9999685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2599361886024023,"score_gpt":0.5108753784699921,"score_spread":0.2509391898675898,"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."}}