{"id":"W3207736026","doi":"10.3171/2021.6.spine21586","title":"Optimizing nerve transfer surgery in tetraplegia: clinical decision making based on innervation patterns in spinal cord injury","year":2021,"lang":"en","type":"article","venue":"Journal of Neurosurgery Spine","topic":"Nerve Injury and Rehabilitation","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Tetraplegia; Medicine; Spinal cord injury; Electromyography; Spinal cord; Motor unit; Surgery; Anesthesia; Physical medicine and rehabilitation; Anatomy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002150848,0.0002418426,0.0004083394,0.001322556,0.0004722725,0.001032309,0.0004305864,0.0005317891,0.00131769],"category_scores_gemma":[0.009137982,0.0001426544,0.0002057275,0.0007120818,0.0004695676,0.0009739315,0.0007149122,0.0004885398,0.0004277085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004584529,"about_ca_system_score_gemma":0.0007209352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008767111,"about_ca_topic_score_gemma":0.001791852,"domain_scores_codex":[0.9989893,0.0004647089,0.0002269337,0.00009675389,0.0001487448,0.00007357041],"domain_scores_gemma":[0.9972427,0.001189649,0.0007312045,0.00003841069,0.0004719926,0.0003260276],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003013398,0.0001064423,0.9239858,0.0001588891,0.00003388718,0.00124316,0.0003867575,0.0008228082,0.0007100735,0.000121492,0.001489225,0.07064012],"study_design_scores_gemma":[0.00007779999,0.0007268392,0.9686118,0.001195899,0.00009620806,0.007097122,0.006635613,0.00917566,0.001436923,0.002154761,0.002742034,0.00004954252],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.984585,0.005854547,0.002955702,0.003407456,0.00007958088,0.0001127765,0.0002043571,0.0000298682,0.002770645],"genre_scores_gemma":[0.9957158,0.001610806,0.002157377,0.0001576463,0.00008094563,0.00003116532,0.0001167812,0.000003839885,0.000125564],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002150848,"threshold_uncertainty_score":0.01137489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06051592294557886,"score_gpt":0.3773248091650022,"score_spread":0.3168088862194234,"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."}}