{"id":"W4388452623","doi":"10.1109/ius51837.2023.10308346","title":"Fully-automated Alveolar Bone Level Measurements in Adolescents via Landmark Localization in Intraoral Ultrasound Videos","year":2023,"lang":"en","type":"article","venue":"","topic":"Dental Radiography and Imaging","field":"Dentistry","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Cementoenamel junction; Dental alveolus; Computer science; Landmark; Convolutional neural network; Alveolar crest; Ultrasound; Artificial intelligence; Computer vision; Medicine; Dentistry; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005561953,0.0002032771,0.0002483955,0.0007163616,0.00006487574,0.0001037744,0.0001924738,0.000113645,0.0001288552],"category_scores_gemma":[0.0001122718,0.0002117485,0.00008623009,0.002109818,0.00004594872,0.0004393225,0.00005568407,0.0002035434,0.0006328668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001298306,"about_ca_system_score_gemma":0.0000252188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001280801,"about_ca_topic_score_gemma":0.004854989,"domain_scores_codex":[0.9979911,0.0001442455,0.0005072819,0.00037161,0.0005078409,0.0004779571],"domain_scores_gemma":[0.999527,0.00002691798,0.00007775063,0.0002284629,0.00005031101,0.00008956422],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005938052,0.0001964432,0.9805236,0.00007821238,0.00002197627,0.000156602,0.0001304592,0.000369509,0.01329915,0.00001347599,0.003757152,0.001393982],"study_design_scores_gemma":[0.002040542,0.00001748327,0.9684032,0.0003106771,0.00001201583,0.00004872349,0.0001929602,0.0245936,0.003770484,0.0002293971,0.0001163772,0.0002645383],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939109,0.0001156984,0.003264739,0.00003871191,0.0006451959,0.0003586199,0.00001999542,0.0006644945,0.0009816259],"genre_scores_gemma":[0.9991785,0.00001760306,0.0001213512,0.0002547179,0.00003546301,0.0000193181,0.0001440076,0.00003204116,0.0001969729],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0242241,"threshold_uncertainty_score":0.8634853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03533702526286608,"score_gpt":0.2869769093497207,"score_spread":0.2516398840868546,"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."}}