{"id":"W2227550344","doi":"10.2106/jbjs.o.00189","title":"A Clinical Prediction Rule for Functional Outcomes in Patients Undergoing Surgery for Degenerative Cervical Myelopathy","year":2015,"lang":"en","type":"article","venue":"Journal of Bone and Joint Surgery","topic":"Cervical and Thoracic Myelopathy","field":"Medicine","cited_by":136,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University; Centre for Disability Prevention and Rehabilitation; Toronto East General Hospital; Toronto Western Hospital; University of Toronto","funders":"","keywords":"Medicine; Myelopathy; Clinical prediction rule; Confidence interval; Univariate; Univariate analysis; Poisson regression; Internal medicine; Relative risk; Surgery; Multivariate analysis; Physical therapy; Multivariate statistics; Spinal cord; Population","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":[0.003796086,0.0001523671,0.001267983,0.0004062236,0.00005740621,0.00002054412,0.00001131328,0.0001472797,0.00001573838],"category_scores_gemma":[0.004930441,0.0001115512,0.0006773951,0.0001318103,0.00004720359,0.0001972613,0.00002616825,0.0002265478,0.000001887376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008717637,"about_ca_system_score_gemma":0.000685843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003699799,"about_ca_topic_score_gemma":0.00001178925,"domain_scores_codex":[0.9972671,0.0001106283,0.001821922,0.0001931665,0.0003664597,0.0002407109],"domain_scores_gemma":[0.9956592,0.002670455,0.0005980156,0.00008778318,0.0006263076,0.0003582148],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003202492,0.0006259403,0.958807,0.0002051994,0.00009558804,0.00002465772,0.00006806505,0.000005951647,0.00001073284,0.00002758253,0.008000812,0.02892601],"study_design_scores_gemma":[0.003474665,0.0005981002,0.9916553,0.0003438992,0.000114132,0.00008307082,0.0001319677,0.0002312326,0.00004751275,0.001096121,0.002107022,0.0001169389],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909716,0.0004248917,0.004174041,0.002509684,0.00154861,0.0002937981,0.00003110309,0.00001122264,0.00003508327],"genre_scores_gemma":[0.9962471,0.0002385965,0.001441233,0.0008454076,0.0009924186,0.00002330599,0.00006554637,0.00002181786,0.0001245394],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03284837,"threshold_uncertainty_score":0.5902555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0954415697727125,"score_gpt":0.3139034210581704,"score_spread":0.2184618512854579,"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."}}