{"id":"W4403539727","doi":"10.1177/00220345241272052","title":"Publicly Available Dental Image Datasets for Artificial Intelligence","year":2024,"lang":"en","type":"article","venue":"Journal of Dental Research","topic":"Dental Radiography and Imaging","field":"Dentistry","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Impact; McMaster University Medical Centre","funders":"Horizon 2020 Framework Programme; European Commission","keywords":"Computer science; Metadata; Demographics; Artificial intelligence; Segmentation; MEDLINE; Information retrieval; Medicine; World Wide Web","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":["open_science"],"consensus_categories":[],"category_scores_codex":[0.006631494,0.001464543,0.001723655,0.02794011,0.001176024,0.003400046,0.003950364,0.002996441,0.02925622],"category_scores_gemma":[0.04284122,0.0007129523,0.002690218,0.02429762,0.000939724,0.003537853,0.004998154,0.001526352,0.02338356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002198743,"about_ca_system_score_gemma":0.005471908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006672793,"about_ca_topic_score_gemma":0.01237638,"domain_scores_codex":[0.9927718,0.00130986,0.002430074,0.001241828,0.001860764,0.0003856684],"domain_scores_gemma":[0.9745984,0.01011381,0.00463609,0.004823436,0.005092938,0.0007353852],"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":[0.0008784543,0.0002353828,0.01561291,0.0328329,0.0006427773,0.0006074902,0.0007909275,0.001044834,0.002899536,0.005649189,0.7893441,0.1494616],"study_design_scores_gemma":[0.0002406102,0.0001183885,0.0365302,0.005652804,0.0004635478,0.000849919,0.0009108523,0.001380233,0.002789805,0.00499,0.9459149,0.0001587142],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00456433,0.007649926,0.004186369,0.001113307,0.000228803,0.000621799,0.972491,0.003037954,0.006106581],"genre_scores_gemma":[0.008251844,0.003152754,0.01646408,0.0004065259,0.0001215428,0.001959827,0.9681704,0.0003534794,0.001119631],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9960496,"threshold_uncertainty_score":0.09787184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1302864090911318,"score_gpt":0.4439093958298287,"score_spread":0.3136229867386969,"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."}}