{"id":"W4400666854","doi":"10.1109/cbms61543.2024.00080","title":"Rib Segmentation in Surgical Images for Video-Assisted Thoracoscopic Surgery","year":2024,"lang":"en","type":"article","venue":"","topic":"Lung Cancer Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; Toronto Metropolitan University; Canada Research Chairs; University of Toronto","funders":"Agence Nationale de la Recherche","keywords":"Computer science; Segmentation; Computer vision; Image segmentation; Video-assisted thoracoscopic surgery; Artificial intelligence; Medicine; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003582732,0.0004531196,0.0001941883,0.001271298,0.0002177214,0.0008858446,0.0003746838,0.0006017527,0.006420092],"category_scores_gemma":[0.001250631,0.0003437957,0.0004449301,0.000601616,0.0001915611,0.0003610296,0.0004454865,0.0004772571,0.001661268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000238764,"about_ca_system_score_gemma":0.0006213945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001463131,"about_ca_topic_score_gemma":0.003258575,"domain_scores_codex":[0.9998159,0.00003972632,0.00002000623,0.00002843757,0.00006845071,0.00002759238],"domain_scores_gemma":[0.999736,0.0000895485,0.0000418188,0.00004770089,0.00006128801,0.00002359483],"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":[0.0007750874,0.0001114251,0.006291152,0.0007553662,0.00006471982,0.002112902,0.0004425443,0.01414987,0.3516299,0.002964278,0.007135461,0.6135674],"study_design_scores_gemma":[0.00009998985,0.0008020137,0.06832491,0.0004516765,0.0001771452,0.0125138,0.0009182969,0.3909001,0.4103326,0.004023557,0.1112556,0.0002003256],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1958605,0.002200173,0.7803125,0.000585717,0.0003333382,0.0005148596,0.001176829,0.008568115,0.01044789],"genre_scores_gemma":[0.3179915,0.001316017,0.6742181,0.0001372907,0.00006589772,0.000194313,0.001252711,0.0009988571,0.003825509],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006420092,"threshold_uncertainty_score":0.0214774,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03161534775685817,"score_gpt":0.3657189952278946,"score_spread":0.3341036474710364,"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."}}