{"id":"W4407225751","doi":"10.1111/ipd.13298","title":"Caregivers' Questions About Pediatric Dentistry: A Conversation With <scp>ChatGPT</scp>","year":2025,"lang":"en","type":"letter","venue":"International Journal of Paediatric Dentistry","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Medicine; Conversation; Family medicine; Dentistry; Communication","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0004111896,0.0003872321,0.0006016742,0.001523251,0.0001158362,0.0002310753,0.000670769,0.0008545611,0.0001941485],"category_scores_gemma":[0.001411738,0.0003597992,0.000422743,0.0006492288,0.0001117062,0.0003585978,0.00008138909,0.002419499,0.0001382581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009543537,"about_ca_system_score_gemma":0.003028171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003120026,"about_ca_topic_score_gemma":0.00002904152,"domain_scores_codex":[0.995856,0.0001351961,0.00131862,0.0004151218,0.001855501,0.0004195574],"domain_scores_gemma":[0.992994,0.0009681283,0.001734124,0.000331232,0.003750571,0.0002220091],"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":[0.00005461478,0.0001422224,0.04587353,0.0005771997,0.0005337583,0.007114625,0.0005700552,0.00003496003,0.000005684705,0.00001881305,0.9422083,0.002866206],"study_design_scores_gemma":[0.001155893,0.0006869471,0.01779439,0.00147001,0.004016704,0.01301082,0.002682385,0.00009888461,0.0003341734,0.0007394027,0.9576346,0.0003758315],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2372869,0.01841934,0.01630979,0.6241565,0.09522182,0.001824487,0.0008050957,0.0002317169,0.005744313],"genre_scores_gemma":[0.5244727,0.02272113,0.005200386,0.2148827,0.1761805,0.0001182497,0.003289897,0.0002742643,0.05286017],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.4092739,"threshold_uncertainty_score":0.9998854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03714696717870943,"score_gpt":0.358850587144158,"score_spread":0.3217036199654486,"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."}}