{"id":"W2135554235","doi":"10.1007/s11548-008-0163-3","title":"A computer-based classifier of three-dimensional spinal scoliosis severity","year":2008,"lang":"en","type":"article","venue":"International Journal of Computer Assisted Radiology and Surgery","topic":"Scoliosis diagnosis and treatment","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre Hospitalier Universitaire Sainte-Justine; Hôpital Notre-Dame","funders":"","keywords":"Scoliosis; Artificial intelligence; Computer science; Pattern recognition (psychology); Classifier (UML); Self-organizing map; Artificial neural network; SPINE (molecular biology); Cobb angle; Categorization; Medicine; Bioinformatics","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":[0.001118928,0.000641634,0.001242721,0.004018984,0.0003601208,0.001069401,0.0007223344,0.001236548,0.001950592],"category_scores_gemma":[0.003450538,0.0001706396,0.0007304575,0.001077721,0.0001891073,0.0006462233,0.0004412904,0.0005321397,0.001189168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000439713,"about_ca_system_score_gemma":0.0006370118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005773659,"about_ca_topic_score_gemma":0.005927879,"domain_scores_codex":[0.9993536,0.00006145943,0.0001054632,0.0001709553,0.0002309538,0.00007753279],"domain_scores_gemma":[0.997425,0.000950946,0.0001636367,0.0001021528,0.001192485,0.0001658646],"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":[0.001754813,0.0008327202,0.2025737,0.0001953034,0.0003642426,0.0004882355,0.0001036056,0.02304262,0.02795818,0.0004324106,0.01070106,0.7315531],"study_design_scores_gemma":[0.0001435466,0.0006967291,0.1909446,0.00007845625,0.000318612,0.001611606,0.0001576038,0.7924078,0.01071612,0.0007447563,0.002093424,0.00008664304],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6877773,0.001751487,0.2914712,0.000747431,0.0006502668,0.0006021037,0.006596562,0.005413205,0.004990461],"genre_scores_gemma":[0.9413326,0.0003514171,0.05222941,0.0001280461,0.0001703824,0.0002127168,0.003730392,0.0000551913,0.001789898],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005773659,"threshold_uncertainty_score":0.01148009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05288323564455349,"score_gpt":0.2931156643252903,"score_spread":0.2402324286807368,"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."}}