{"id":"W4407384205","doi":"10.1016/j.prosdent.2025.01.020","title":"Response to Letter to the Editor regarding, “Evaluation of accuracy of deep learning and conventional neural network algorithms in detection of dental implant type using intraoral radiographic images: A systematic review and meta-analysis”","year":2025,"lang":"en","type":"review","venue":"Journal of Prosthetic Dentistry","topic":"Dental Radiography and Imaging","field":"Dentistry","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Dental implant; Dentistry; Artificial neural network; Radiography; Computer science; Artificial intelligence; Medicine; Algorithm; Implant; Orthodontics; 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":[0.01769527,0.001236401,0.004135894,0.002289806,0.001262377,0.003899,0.00236643,0.01610376,0.009462382],"category_scores_gemma":[0.09792499,0.001132498,0.003281431,0.00173498,0.00129158,0.002268543,0.001561723,0.01182005,0.005010127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002966623,"about_ca_system_score_gemma":0.006440375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004821483,"about_ca_topic_score_gemma":0.009244509,"domain_scores_codex":[0.9915596,0.002651149,0.002375901,0.0009959335,0.001906665,0.0005108356],"domain_scores_gemma":[0.9420373,0.03346331,0.00745815,0.0008752823,0.01448745,0.001678453],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002168837,0.00001388544,0.0003528727,0.001466371,0.0002163425,0.0001439863,0.00003724546,0.0000478834,0.0001166633,0.0001693342,0.9910089,0.006209585],"study_design_scores_gemma":[0.001914886,0.000316578,0.007002017,0.00873459,0.002714538,0.001264476,0.0003807025,0.0009288581,0.0009059491,0.003371313,0.9721757,0.0002904207],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0003937729,0.009908318,0.0003195919,0.7961975,0.1910316,0.00009066657,0.001418699,0.00008409079,0.0005556772],"genre_scores_gemma":[0.002842926,0.006243388,0.0004867774,0.8530772,0.1335002,0.0002295392,0.0002777475,0.00005446847,0.00328768],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.01769527,"threshold_uncertainty_score":0.09358269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04061975640768922,"score_gpt":0.3656928527602778,"score_spread":0.3250730963525886,"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."}}