{"id":"W2002506789","doi":"10.1097/01.brs.0000209312.62384.c1","title":"Three-Dimensional Classification of Spinal Deformities Using Fuzzy Clustering","year":2006,"lang":"en","type":"article","venue":"Spine","topic":"Scoliosis diagnosis and treatment","field":"Medicine","cited_by":76,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Centre Hospitalier Universitaire Sainte-Justine","funders":"","keywords":"Medicine; Cluster analysis; Artificial intelligence; Pattern recognition (psychology); Fuzzy clustering; Identification (biology); Spinal deformity; Data mining; Scoliosis; Machine learning; Computer science; Surgery","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":[0.00005698892,0.00008601673,0.0001745843,0.00008304401,0.00004056509,0.000005629944,0.00002462263,0.0000392952,0.00004154591],"category_scores_gemma":[0.000008592724,0.00006789784,0.00006765888,0.0001040058,0.00004160222,0.00004486464,0.00002030201,0.00004008385,0.000008409334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008451422,"about_ca_system_score_gemma":0.00004386985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005331361,"about_ca_topic_score_gemma":0.0002261674,"domain_scores_codex":[0.9993504,0.000004317165,0.0002177461,0.0001249749,0.0001807112,0.0001218391],"domain_scores_gemma":[0.9996637,0.000005240486,0.00008170666,0.0001438922,0.00007260038,0.0000329356],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004323538,0.001959661,0.7807817,0.0004517132,0.0002256912,0.00007356428,0.00004070915,0.00139928,0.1808627,0.0128455,0.00097901,0.0199481],"study_design_scores_gemma":[0.0009793278,0.0003443739,0.981446,0.0003096773,0.000096772,0.00005295597,0.00001703097,0.00508346,0.01109844,0.0003827412,0.0001213056,0.00006797212],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962147,0.0008350982,0.0006261301,0.0003467421,0.00008740281,0.000176212,0.00000310234,0.00002266693,0.001687966],"genre_scores_gemma":[0.9936009,0.000005607709,0.0060703,0.00005779419,0.0001722304,0.0000119676,0.00002193043,0.00001080318,0.00004846318],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2006643,"threshold_uncertainty_score":0.2768794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05647634038330838,"score_gpt":0.3137328142262166,"score_spread":0.2572564738429082,"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."}}