{"id":"W4410873466","doi":"10.1016/j.jds.2025.05.018","title":"Limited field-of-view cone-beam computed tomography for resolving working length discrepancy between electronic apex locator and periapical radiography","year":2025,"lang":"en","type":"letter","venue":"Journal of Dental Sciences","topic":"Dental Radiography and Imaging","field":"Dentistry","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Cone beam computed tomography; Apex (geometry); Radiography; Computed tomography; Beam (structure); Cone (formal languages); Orthodontics; Field (mathematics); Medicine; Dentistry; Optics; Physics; Radiology; Mathematics; Anatomy","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":[0.003531051,0.0006979955,0.0009716928,0.001627687,0.001947546,0.001511587,0.001995721,0.02127701,0.004347106],"category_scores_gemma":[0.01920852,0.0009714165,0.001374134,0.0006897033,0.002149184,0.002765351,0.0009874715,0.01169612,0.002154335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00302313,"about_ca_system_score_gemma":0.00210297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00369352,"about_ca_topic_score_gemma":0.0114546,"domain_scores_codex":[0.9969777,0.0007545909,0.000611723,0.0002971456,0.001000671,0.0003582049],"domain_scores_gemma":[0.9915066,0.005616201,0.0005802707,0.0005077924,0.001053211,0.0007358934],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"case_report","study_design_gemma":"observational","study_design_scores_codex":[0.0007590862,0.0003371731,0.01614706,0.0001926187,0.00003668169,0.8266663,0.0006870111,0.0002910834,0.005351267,0.003567505,0.1070987,0.03886551],"study_design_scores_gemma":[0.0001906828,0.0005587236,0.01128743,0.0004165197,0.00008959173,0.8814121,0.001353363,0.00531031,0.003196422,0.005437868,0.09064955,0.00009746817],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.129025,0.009706851,0.01585586,0.7509596,0.02811886,0.0003975247,0.0003024249,0.0006522486,0.06498179],"genre_scores_gemma":[0.613603,0.004888356,0.03325951,0.282181,0.04121893,0.0002143989,0.0001736305,0.0003202617,0.02414087],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02127701,"threshold_uncertainty_score":0.02193445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01864542976732644,"score_gpt":0.2906637116838907,"score_spread":0.2720182819165643,"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."}}