{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007641493,0.0006175999,0.0004744928,0.001610221,0.0005352114,0.001336873,0.0007419073,0.0009439806,0.004975816],"category_scores_gemma":[0.001580067,0.0002366001,0.0005978776,0.001062688,0.0002978164,0.001613053,0.00125839,0.0005788626,0.002344436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006388208,"about_ca_system_score_gemma":0.001303124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005183714,"about_ca_topic_score_gemma":0.006849186,"domain_scores_codex":[0.999727,0.0000481237,0.00003147863,0.00006267912,0.0001035142,0.00002725898],"domain_scores_gemma":[0.9996948,0.0001222278,0.00003132163,0.0000509765,0.0000642637,0.00003638904],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001121208,0.0004884171,0.006151977,0.0009793664,0.0001954206,0.0009906925,0.0004150352,0.01762809,0.01958603,0.02303383,0.1182122,0.8111978],"study_design_scores_gemma":[0.0003373727,0.0003689633,0.006875412,0.000239843,0.0003329715,0.001776267,0.0005980988,0.5595559,0.02845746,0.1175315,0.2837596,0.0001664203],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03987797,0.005799706,0.8080242,0.007019335,0.001228802,0.0009477507,0.01531983,0.08051948,0.04126289],"genre_scores_gemma":[0.4124987,0.004615269,0.5416663,0.002594111,0.0003278146,0.0006053153,0.01716685,0.001021746,0.01950397],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005183714,"threshold_uncertainty_score":0.01664579,"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."}}