{"id":"W4391088813","doi":"10.4317/jced.61099","title":"Evaluating Static Bone Cysts (SBCs) Through Long-Term Volumetric Analysis Using CBCT: A Study with 6-Month Follow-Up","year":2024,"lang":"en","type":"article","venue":"Journal of Clinical and Experimental Dentistry","topic":"Oral and Maxillofacial Pathology","field":"Dentistry","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Medicine; Radiography; Asymptomatic; Cone beam computed tomography; Nuclear medicine; Radiological weapon; Dentistry; Radiology; Orthodontics; Computed tomography; Surgery","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":[0.001003503,0.00039677,0.0004750399,0.001195341,0.000609883,0.0003681556,0.0002641381,0.0005478904,0.0008774094],"category_scores_gemma":[0.002199671,0.000239447,0.0004778249,0.0005460898,0.0004238599,0.0005755866,0.000459103,0.0003440104,0.0003599126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002468103,"about_ca_system_score_gemma":0.0002263828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001832769,"about_ca_topic_score_gemma":0.001741163,"domain_scores_codex":[0.999532,0.0001049174,0.00005668647,0.0001051186,0.0001207482,0.00008054152],"domain_scores_gemma":[0.9985154,0.000298706,0.0003862569,0.0001756811,0.0003733902,0.0002505319],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001239641,0.001291775,0.9774169,0.00003601205,0.00004888834,0.002018669,0.0008096171,0.0001193791,0.005000645,0.00001183366,0.00006354751,0.01194323],"study_design_scores_gemma":[0.00002525212,0.003401865,0.9912209,0.00000777027,0.00006200748,0.003175357,0.0004914366,0.0001865327,0.001148571,0.00001186116,0.0002553659,0.00001311888],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996263,0.000111741,0.00008137403,0.000003845059,0.000001689544,0.00001459674,0.00003612249,0.000002341618,0.0001219719],"genre_scores_gemma":[0.9994196,0.00007394825,0.0001522959,0.000006555174,0.000008059313,0.00001515991,0.0001317991,0.000001716015,0.0001908083],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001832769,"threshold_uncertainty_score":0.005307078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1482101280252698,"score_gpt":0.4935598441737827,"score_spread":0.345349716148513,"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."}}