{"id":"W4383745032","doi":"10.1109/msmc.2023.3245814","title":"Tooth.AI: Intelligent Dental Disease Diagnosis and Treatment Support Using Semantic Network","year":2023,"lang":"en","type":"article","venue":"IEEE Systems Man and Cybernetics Magazine","topic":"Dental Radiography and Imaging","field":"Dentistry","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Computer science; Healthcare industry; Health care; Software; Dental care; Medicine; Dentistry","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"],"consensus_categories":[],"category_scores_codex":[0.0001772921,0.0003263392,0.0003758085,0.0001954602,0.0002154243,0.0003497639,0.0001135849,0.00006922289,0.00005445721],"category_scores_gemma":[0.000008822184,0.000303522,0.0001347603,0.0004075343,0.0001448532,0.0001396534,0.00007217596,0.0001054047,0.0003467884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007266045,"about_ca_system_score_gemma":0.00002639569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002773483,"about_ca_topic_score_gemma":0.0002661336,"domain_scores_codex":[0.9981831,0.00008503351,0.0004274803,0.0004927377,0.0002961471,0.0005154875],"domain_scores_gemma":[0.9990765,0.0000763857,0.0001152597,0.0003124377,0.00003406974,0.0003852771],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007703255,0.0002186346,0.9656923,0.0004163858,0.0003179924,0.002405374,0.0003894644,0.001591856,0.0004437449,0.0006597042,0.02058611,0.007201343],"study_design_scores_gemma":[0.002903264,0.0005843351,0.8054752,0.001116194,0.001199924,0.001415866,0.0008715566,0.07342394,0.0005453109,0.0005104519,0.1103377,0.001616229],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924801,0.003138591,0.0002428689,0.00005199001,0.002220468,0.0005757611,0.00008229518,0.0001647918,0.001043132],"genre_scores_gemma":[0.9912249,0.002112538,0.00002988602,0.00008667553,0.0005126541,0.0000581108,0.00005550664,0.00005442185,0.005865274],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1602171,"threshold_uncertainty_score":0.9999417,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02846511631747806,"score_gpt":0.2804855229541302,"score_spread":0.2520204066366521,"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."}}