{"id":"W2103734234","doi":"10.1109/tmi.2009.2016756","title":"Personalized X-Ray 3-D Reconstruction of the Scoliotic Spine From Hybrid Statistical and Image-Based Models","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Medical Imaging","topic":"Scoliosis diagnosis and treatment","field":"Medicine","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; Centre Hospitalier Universitaire Sainte-Justine","funders":"","keywords":"Vertebra; Artificial intelligence; Sagittal plane; Computer vision; Computer science; Projection (relational algebra); Iterative reconstruction; Coronal plane; Segmentation; Radiography; Pattern recognition (psychology); Algorithm; Medicine; Anatomy; Radiology","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":[0.0003364649,0.0005701589,0.0006099882,0.001129088,0.0001585364,0.000968016,0.0007738025,0.000827127,0.001074831],"category_scores_gemma":[0.0009843281,0.0007248924,0.001352019,0.0008095434,0.0003829731,0.0006439391,0.0006484499,0.0006217888,0.0006307591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000460291,"about_ca_system_score_gemma":0.0008217577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002595196,"about_ca_topic_score_gemma":0.004544192,"domain_scores_codex":[0.999643,0.00004231087,0.00002131958,0.00006980335,0.0002020257,0.0000216485],"domain_scores_gemma":[0.9996973,0.00008782146,0.00005599114,0.00008822035,0.0000549,0.00001566319],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006562475,0.00005062279,0.002745456,0.0001601936,0.00009597443,0.0002495986,0.0001252608,0.8400623,0.0467713,0.00376159,0.0007075085,0.1052046],"study_design_scores_gemma":[0.000006217848,0.00004230334,0.00160608,0.00001128692,0.000020802,0.0004136019,0.00002455961,0.9855439,0.009366907,0.001368408,0.001570107,0.00002588698],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01362088,0.0001017583,0.9851041,0.00003613824,0.000004969356,0.00002258635,0.00008442038,0.0006603931,0.00036467],"genre_scores_gemma":[0.4214966,0.0007230861,0.5745448,0.00006910123,0.00002406089,0.0001446387,0.0008896919,0.0003307538,0.001777385],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002595196,"threshold_uncertainty_score":0.005160153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01545911150716887,"score_gpt":0.2791755909538317,"score_spread":0.2637164794466628,"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."}}