{"id":"W4411731694","doi":"10.1007/s12663-025-02644-8","title":"Cone-Beam Computed Tomography (CBCT) Assessment of the Inter-Radicular Bone Thickness in the Anterior Maxilla in an Iranian Population","year":2025,"lang":"en","type":"article","venue":"Journal of Maxillofacial and Oral Surgery","topic":"Dental Radiography and Imaging","field":"Dentistry","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Cone beam computed tomography; Medicine; Oral and maxillofacial surgery; Computed tomography; Maxilla; Anterior maxilla; Otorhinolaryngology; Orthodontics; Tomography; Population; Dentistry; Radiology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001443814,0.0001528118,0.0004912333,0.0006616959,0.00009517572,0.0001226019,0.0002498686,0.00008343151,0.00001599357],"category_scores_gemma":[0.00004528898,0.00009449734,0.0003537606,0.001050275,0.0001342699,0.0004113457,0.00006175125,0.0003825108,1.954143e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000369117,"about_ca_system_score_gemma":0.00004498813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005029215,"about_ca_topic_score_gemma":0.0002957617,"domain_scores_codex":[0.9981149,0.0003157937,0.0008716375,0.0001497375,0.0003526869,0.0001951829],"domain_scores_gemma":[0.9992016,0.00008063151,0.0004199971,0.0001737665,0.00007944738,0.00004458341],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000121724,0.0002008061,0.9666815,0.00006108852,0.0000340661,0.0002313852,0.0001847307,0.00002039373,0.001221797,0.0001177421,0.0000612019,0.03106352],"study_design_scores_gemma":[0.0006034184,0.00003872631,0.9966319,0.0004426466,0.00003728426,0.0003013485,0.0005218411,0.0001607469,0.0001305682,0.0004636482,0.0005663828,0.0001014875],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969961,0.0009373265,0.0001621236,0.000354431,0.001285394,0.0001518675,0.00001037937,0.000005656677,0.000096697],"genre_scores_gemma":[0.999447,0.0000707228,0.0000769281,0.0003518654,0.00003221182,0.000002163081,0.00000446075,0.000006993171,0.000007680465],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03096203,"threshold_uncertainty_score":0.385349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01499073994820067,"score_gpt":0.2838283156192075,"score_spread":0.2688375756710069,"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."}}