{"id":"W4415992309","doi":"","title":"Application of large language models in oral health education: a review of the literature.","year":2025,"lang":"en","type":"article","venue":"PubMed","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Oral health; Public health; MEDLINE; Risk assessment; Health services","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":[0.008390537,0.0008344436,0.00200008,0.007702139,0.0005024737,0.002970582,0.00154575,0.002019423,0.004485847],"category_scores_gemma":[0.02367018,0.0006690242,0.001882796,0.007314638,0.001299205,0.004207331,0.001751407,0.001608566,0.0007706606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002317511,"about_ca_system_score_gemma":0.007624442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005933443,"about_ca_topic_score_gemma":0.01041486,"domain_scores_codex":[0.996759,0.001475917,0.000695147,0.0002087519,0.0007551847,0.0001060257],"domain_scores_gemma":[0.9586344,0.03768484,0.001671082,0.0003057678,0.001487685,0.0002162715],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001268461,0.0001086059,0.0006808197,0.2414437,0.0004532988,0.0002863785,0.001220153,0.000539192,0.000218053,0.002987598,0.01004023,0.7418952],"study_design_scores_gemma":[0.0001379896,0.0004032153,0.00688034,0.6021512,0.003761495,0.002738312,0.003427284,0.00108318,0.0005849446,0.007600921,0.3710918,0.0001392902],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002552503,0.9980477,0.0002429516,0.0007146502,0.00009162635,0.00002425117,0.00002163734,0.000007218464,0.0005947475],"genre_scores_gemma":[0.00506207,0.993321,0.0007521868,0.000508307,0.0001125659,0.00008092131,0.00003977827,0.000004115343,0.0001190809],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.008390537,"threshold_uncertainty_score":0.04437387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08000162496667412,"score_gpt":0.4308981401125347,"score_spread":0.3508965151458606,"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."}}