{"id":"W4404724065","doi":"10.1016/j.jebdp.2024.102058","title":"DEEP LEARNING-DRIVEN SEGMENTATION OF DENTAL IMPLANTS AND PERI-IMPLANTITIS DETECTION IN ORTHOPANTOMOGRAPHS: A NOVEL DIAGNOSTIC TOOL","year":2024,"lang":"en","type":"article","venue":"Journal of Evidence Based Dental Practice","topic":"Dental Radiography and Imaging","field":"Dentistry","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Peri-implantitis; Medicine; Dentistry; Orthodontics; Implant; 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":[0.0008674564,0.0007001928,0.0005835512,0.001645029,0.000229619,0.0009996616,0.0009925129,0.001313117,0.001881745],"category_scores_gemma":[0.002523023,0.0004705382,0.0006853114,0.0007550979,0.0004196587,0.0006210642,0.001108976,0.0007248852,0.0009242839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005888007,"about_ca_system_score_gemma":0.0009713947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00204323,"about_ca_topic_score_gemma":0.002980652,"domain_scores_codex":[0.9995616,0.00007046771,0.00003477808,0.0001230338,0.000146159,0.0000638951],"domain_scores_gemma":[0.9991949,0.0002754958,0.0001574533,0.00008599397,0.0002200352,0.00006608356],"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":[0.0008353611,0.0003280467,0.01331638,0.0004688175,0.0001284338,0.0006692389,0.0002718809,0.09131861,0.1052401,0.002048502,0.008248561,0.777126],"study_design_scores_gemma":[0.00002428467,0.000155558,0.006675818,0.00007680251,0.00006437428,0.0009890073,0.00007251128,0.9421896,0.04174938,0.003258235,0.004702089,0.00004220661],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1561442,0.001703945,0.832118,0.0007158553,0.0001379173,0.0002009776,0.001057494,0.005195745,0.002725784],"genre_scores_gemma":[0.5850295,0.0008719536,0.4077584,0.0004644479,0.0001269829,0.000263075,0.001679132,0.0003014922,0.003504941],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00204323,"threshold_uncertainty_score":0.006295085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02804756659920392,"score_gpt":0.3248012503099994,"score_spread":0.2967536837107955,"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."}}