{"id":"W3113347318","doi":"10.1093/neuros/nyaa477","title":"Prediction of Worse Functional Status After Surgery for Degenerative Cervical Myelopathy: A Machine Learning Approach","year":2020,"lang":"en","type":"article","venue":"Neurosurgery","topic":"Cervical and Thoracic Myelopathy","field":"Medicine","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Western Hospital; University Health Network; University of Toronto","funders":"","keywords":"Medicine; Myelopathy; Orthopedic surgery; Receiver operating characteristic; Lumbar; Minimal clinically important difference; Decompression; Surgery; Prospective cohort study; Internal medicine; Randomized controlled trial; Spinal cord","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":[0.004345923,0.000776741,0.0006982457,0.003179378,0.0003108128,0.0009683703,0.0008107395,0.0008665023,0.0008006495],"category_scores_gemma":[0.01092337,0.0002042951,0.000764123,0.0009496215,0.0003646544,0.0007034902,0.000500587,0.001006529,0.0002439096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007066652,"about_ca_system_score_gemma":0.0008328077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002505677,"about_ca_topic_score_gemma":0.002232047,"domain_scores_codex":[0.9989368,0.0005079918,0.000122622,0.0001958526,0.0001489956,0.00008766857],"domain_scores_gemma":[0.9927037,0.005376081,0.0008993677,0.0001884388,0.0006259885,0.0002063681],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005889754,0.0006075489,0.7737533,0.0001178934,0.0003931554,0.0001441559,0.00008388885,0.1009746,0.001298106,0.0002258989,0.0008417121,0.1209708],"study_design_scores_gemma":[0.00004245012,0.0006047556,0.1157703,0.00006757212,0.0001007316,0.0002383691,0.00008694902,0.8807623,0.0008997032,0.001138502,0.0002595841,0.00002884707],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9305464,0.001366831,0.06545305,0.0008971928,0.00005226317,0.0001557039,0.0006062388,0.0002413844,0.0006810278],"genre_scores_gemma":[0.9771979,0.0001743242,0.02190123,0.00006555454,0.00004626564,0.00006991461,0.00041761,0.000007064863,0.0001201062],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004345923,"threshold_uncertainty_score":0.02298373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06365356752522512,"score_gpt":0.2422527348080825,"score_spread":0.1785991672828574,"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."}}