{"id":"W4410889527","doi":"10.1016/j.prosdent.2025.05.012","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":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Dentistry; Dental implant; Radiography; Artificial neural network; Computer science; Medicine; Artificial intelligence; Orthodontics; Implant; Algorithm; Medical physics; Radiology; 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":[0.01916673,0.001183601,0.004197141,0.002306764,0.001270848,0.003577638,0.002330395,0.01612375,0.009159244],"category_scores_gemma":[0.1018418,0.001087574,0.003392392,0.001748757,0.001312408,0.00226066,0.00167747,0.01139248,0.004670284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003021767,"about_ca_system_score_gemma":0.006121423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004193221,"about_ca_topic_score_gemma":0.008064345,"domain_scores_codex":[0.990518,0.003097149,0.002689477,0.001036259,0.002078412,0.000580688],"domain_scores_gemma":[0.937658,0.03565613,0.008482273,0.001025738,0.01542104,0.001756876],"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":[0.0002774835,0.00001680401,0.0004485583,0.001899218,0.0003147886,0.0002077132,0.00005051385,0.0000561737,0.0001493345,0.0002318882,0.9886446,0.007702766],"study_design_scores_gemma":[0.001877437,0.000327568,0.006804033,0.009018458,0.002913877,0.001344964,0.0003925926,0.0008648976,0.0009611193,0.003583132,0.9716085,0.0003034749],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0004549106,0.01033553,0.0003455532,0.8201812,0.1666521,0.00009430552,0.001313912,0.0000853571,0.0005371318],"genre_scores_gemma":[0.003396656,0.006061173,0.0005579457,0.8721833,0.1141093,0.0002551983,0.0002629925,0.00005604246,0.003117333],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.01916673,"threshold_uncertainty_score":0.1013646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04225992485292154,"score_gpt":0.3659114504040609,"score_spread":0.3236515255511394,"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."}}