{"id":"W4382810696","doi":"10.1111/odi.14659","title":"Detecting dental caries on oral photographs using artificial intelligence: A systematic review","year":2023,"lang":"en","type":"review","venue":"Oral Diseases","topic":"Dental Radiography and Imaging","field":"Dentistry","cited_by":74,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; Institute for Clinical Evaluative Sciences; Mount Sinai Hospital; Public Health Ontario; Hospital for Sick Children; Princess Margaret Cancer Centre; SickKids Foundation; University of Toronto","funders":"World Health Organization","keywords":"Dentistry; Artificial intelligence; Medicine; Computer science; Orthodontics","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":[0.007374445,0.00157671,0.006784786,0.01003467,0.000575763,0.002888915,0.002179739,0.0019315,0.004236523],"category_scores_gemma":[0.04475672,0.000992651,0.006244634,0.008555119,0.0008943123,0.002455294,0.00127198,0.0009486918,0.0003954856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002790245,"about_ca_system_score_gemma":0.007914275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006740995,"about_ca_topic_score_gemma":0.01887502,"domain_scores_codex":[0.992793,0.002314351,0.002652491,0.0004973536,0.001594704,0.0001481841],"domain_scores_gemma":[0.9637095,0.02912028,0.004098464,0.0004247795,0.002462257,0.0001847475],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00009728487,0.00001568567,0.0005613734,0.9276777,0.003927766,0.00005384158,0.0001259776,0.00009446436,0.00009994111,0.0001525774,0.001426484,0.06576706],"study_design_scores_gemma":[0.0001126124,0.0001608099,0.003222496,0.9399779,0.03830362,0.0003966702,0.0002344584,0.0001342768,0.0001965364,0.0002768002,0.01694584,0.00003807841],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0006490258,0.9984219,0.0001680011,0.0001384631,0.00007066905,0.0001624647,0.0001832636,0.000007371493,0.0001989187],"genre_scores_gemma":[0.007403555,0.9910823,0.0007127592,0.0002571135,0.00006252828,0.0002648959,0.0001429998,0.000004147114,0.00006969324],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01003467,"threshold_uncertainty_score":0.03900027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1253444711100492,"score_gpt":0.399780837919668,"score_spread":0.2744363668096188,"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."}}