{"id":"W4403349460","doi":"10.1016/j.bas.2024.103495","title":"Machine learning-based cluster analysis identifies four unique phenotypes of degenerative cervical myelopathy patients with distinct clinical profiles and long-term functional outcomes","year":2024,"lang":"en","type":"article","venue":"Brain and Spine","topic":"Cervical and Thoracic Myelopathy","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; University Health Network","funders":"","keywords":"Myelopathy; Cluster (spacecraft); Term (time); Clinical phenotype; Phenotype; Medicine; Artificial intelligence; Computer science; Biology; Neuroscience; Genetics","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":[0.0003365843,0.0002045363,0.0006419379,0.0001929289,0.00007676806,0.00004305883,0.00003847897,0.00009322155,0.000248661],"category_scores_gemma":[0.0002106414,0.0001211771,0.0001643858,0.0003798449,0.0002112971,0.00006034156,0.00006722171,0.0002491557,0.000004181579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001086198,"about_ca_system_score_gemma":0.00006112309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000166082,"about_ca_topic_score_gemma":0.0001343058,"domain_scores_codex":[0.9986251,0.0001545676,0.0004313205,0.000389831,0.0002487305,0.0001504456],"domain_scores_gemma":[0.9992307,0.0002771881,0.00008349735,0.0001323712,0.0001177549,0.0001584235],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003797079,0.0001857616,0.9423507,0.0007250612,0.0005814313,0.00003454088,0.0000672883,0.0000117989,0.000006569397,0.0001759501,0.00001498349,0.05546622],"study_design_scores_gemma":[0.001301343,0.0004904926,0.9903643,0.0002027204,0.0009384389,0.000007613731,0.000009388196,0.006034191,0.00003120433,0.0000411746,0.0004318575,0.0001473099],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9845938,0.005558947,0.007252546,0.002019779,0.00006923956,0.0003413116,0.00004238788,0.00006101171,0.00006098151],"genre_scores_gemma":[0.9974708,0.000349716,0.0004102997,0.0003757674,0.00008111882,0.00001886718,0.0003978944,0.00001967087,0.0008758992],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05531891,"threshold_uncertainty_score":0.4941458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02065745318230476,"score_gpt":0.2957391917428002,"score_spread":0.2750817385604954,"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."}}