{"id":"W4402967178","doi":"10.1016/j.bas.2024.103303","title":"A data-driven approach to categorize patients with degenerative cervical myelopathy: a K-prototype clustering analysis of the CSORN DCM database","year":2024,"lang":"en","type":"article","venue":"Brain and Spine","topic":"Medical Imaging and Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Nutrition Society; University of Ottawa","funders":"","keywords":"Categorization; Cluster analysis; Myelopathy; Medicine; Information retrieval; Database; Computer science; Artificial intelligence; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001394732,0.0001219471,0.0002796195,0.0001587774,0.00003875161,0.00004689117,0.0002218316,0.00002556207,0.00001592723],"category_scores_gemma":[0.00004319378,0.00007032316,0.00004956339,0.001186265,0.00003952023,0.00008249297,0.0001713454,0.0001138593,0.000002421968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001127723,"about_ca_system_score_gemma":0.00001743815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003139606,"about_ca_topic_score_gemma":0.00004527193,"domain_scores_codex":[0.9992031,0.00003416337,0.0001792247,0.000267467,0.0001795124,0.0001365467],"domain_scores_gemma":[0.9994159,0.00002508797,0.00001519328,0.0004216523,0.00002292371,0.00009928719],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001158454,0.0008902675,0.03943053,0.009053553,0.0204372,0.00007681961,0.01070739,0.3801482,0.00286252,0.003488646,0.01095114,0.5218379],"study_design_scores_gemma":[0.0001452501,0.00001869048,0.006021574,0.0001058125,0.0006379551,8.43737e-7,0.00003731089,0.9882361,0.00001782487,0.000002140799,0.004660591,0.0001159235],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2251332,0.01085075,0.7596319,0.001017161,0.0001724005,0.001037013,0.0008910946,0.0003053288,0.0009611801],"genre_scores_gemma":[0.9912999,0.000275697,0.007404186,0.0001706775,0.00006340138,0.00004619014,0.0006011251,0.00002896741,0.0001098565],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7661667,"threshold_uncertainty_score":0.2867695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01772070916915248,"score_gpt":0.2424668412840679,"score_spread":0.2247461321149154,"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."}}