{"id":"W2131736271","doi":"10.1016/j.medengphy.2013.06.002","title":"Personalized 3D reconstruction of the rib cage for clinical assessment of trunk deformities","year":2013,"lang":"en","type":"article","venue":"Medical Engineering & Physics","topic":"Scoliosis diagnosis and treatment","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; Centre Hospitalier Universitaire Sainte-Justine","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds de recherche du Québec – Nature et technologies; Canadian Institutes of Health Research","keywords":"Rib cage; Segmentation; 3D reconstruction; Computer science; Deformity; Trunk; Radiography; Scoliosis; Artificial intelligence; Torso; Computer vision; Anatomy; Medicine; Radiology; Surgery","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004543657,0.000568117,0.0004942616,0.001039229,0.0001312551,0.0007482864,0.0004160276,0.0008813635,0.002024573],"category_scores_gemma":[0.001280478,0.0004666371,0.0006981769,0.0004654626,0.0002301134,0.0002663146,0.0005364313,0.0003705749,0.000800458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001876299,"about_ca_system_score_gemma":0.0003833468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001092117,"about_ca_topic_score_gemma":0.00190629,"domain_scores_codex":[0.9995286,0.000134913,0.00002920908,0.00006512267,0.0002201769,0.0000219427],"domain_scores_gemma":[0.9995735,0.0001409708,0.00005554795,0.0001266798,0.00007833503,0.00002498521],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000515331,0.0001608873,0.01641755,0.0003684637,0.0001604354,0.00115481,0.0003164418,0.226213,0.3157607,0.002092324,0.003173973,0.4336662],"study_design_scores_gemma":[0.00005150928,0.0002065413,0.02376153,0.00005209746,0.00008435705,0.004878,0.0001112317,0.9029348,0.06203869,0.001546045,0.004217207,0.0001179715],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1220893,0.000746978,0.8711918,0.0001583342,0.00004237257,0.00009551411,0.0004329135,0.002966125,0.002276768],"genre_scores_gemma":[0.6701171,0.0005559724,0.3269826,0.00007870459,0.0000356797,0.00008130725,0.0006190047,0.0003694269,0.001160241],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002024573,"threshold_uncertainty_score":0.006772816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03539690070004604,"score_gpt":0.3443010773979441,"score_spread":0.308904176697898,"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."}}