{"id":"W2025604539","doi":"10.3171/2014.10.spine14576","title":"Predictors of intramedullary lesion expansion rate on MR images of patients with subaxial spinal cord injury","year":2015,"lang":"en","type":"article","venue":"Journal of Neurosurgery Spine","topic":"Spinal Cord Injury Research","field":"Medicine","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Intramedullary rod; Medicine; Spinal cord injury; Lesion; Spinal cord; 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":[0.001050246,0.0002427633,0.0008462741,0.0009093544,0.00003132058,0.0000132287,0.0001980613,0.0001006533,0.00003679842],"category_scores_gemma":[0.001517734,0.0001663909,0.0002042945,0.0006810614,0.0002386409,0.0002693413,0.00007615527,0.0006442178,0.000003804691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009104859,"about_ca_system_score_gemma":0.0005848555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008367118,"about_ca_topic_score_gemma":3.126884e-7,"domain_scores_codex":[0.9964643,0.0002277537,0.001140845,0.0002217843,0.001636793,0.0003084974],"domain_scores_gemma":[0.9962287,0.00009090732,0.001097611,0.0003533991,0.001787632,0.0004417523],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.2345956,0.001838501,0.4769876,0.0003139648,0.0001194687,0.0005338844,0.00002154631,0.00002075561,0.2543637,0.000004883427,0.00901976,0.02218043],"study_design_scores_gemma":[0.002725094,0.1133827,0.7604856,0.0009173095,0.0001044471,0.0001145204,0.00003244653,0.00001338948,0.1214501,0.000009724633,0.0006406708,0.0001239925],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980989,0.0001047643,0.00004365662,0.0004381679,0.0009119403,0.0003006809,0.00002345673,0.00001212875,0.00006636636],"genre_scores_gemma":[0.9988642,0.0001426274,0.0003440416,0.0001603436,0.000366749,0.000001925725,0.00001070453,0.00004489811,0.00006448274],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.283498,"threshold_uncertainty_score":0.6785223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05070607007105283,"score_gpt":0.3452028202840924,"score_spread":0.2944967502130396,"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."}}