{"id":"W4388892456","doi":"10.1016/j.ultrasmedbio.2023.10.006","title":"Erratum to ‘Estimating Crestal Thickness of Alveolar Bones on Intra-oral Ultrasonograms’ [Ultrasound in Med & Biol. 49 (2023) 1345-1350]","year":2023,"lang":"en","type":"erratum","venue":"Ultrasound in Medicine & Biology","topic":"Oral and Maxillofacial Pathology","field":"Dentistry","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Medicine; Ultrasound; Dentistry; Orthodontics; Radiology","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":["metaresearch","metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.003228396,0.001534223,0.003767998,0.002214917,0.0002049201,0.00006528365,0.001767805,0.003053458,0.001016536],"category_scores_gemma":[0.02840467,0.001298103,0.0004071664,0.002777945,0.001823455,0.0001709911,0.000273413,0.004930099,0.001116949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003559859,"about_ca_system_score_gemma":0.0004533576,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.008712234,"about_ca_topic_score_gemma":0.02940352,"domain_scores_codex":[0.9903257,0.001285519,0.003045681,0.002373473,0.000837221,0.002132385],"domain_scores_gemma":[0.992206,0.00426716,0.001133216,0.001541014,0.0003730546,0.0004795259],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009367769,0.0008544369,0.05403772,0.001170796,0.0003708061,0.001040272,0.003838269,0.0001413381,0.1175257,0.001587903,0.8044372,0.01405885],"study_design_scores_gemma":[0.004881206,0.004032999,0.1229715,0.004513083,0.0003815107,0.001160797,0.002900544,0.00003002546,0.0003682094,0.01296017,0.8427528,0.003047152],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7124273,0.004645184,0.00110318,0.003971532,0.2235056,0.003647979,0.002903268,0.0009856318,0.04681028],"genre_scores_gemma":[0.6296294,0.008942143,0.01530945,0.01184715,0.02654134,0.002155841,0.06231032,0.001836538,0.2414278],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1969643,"threshold_uncertainty_score":0.9998966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03838178658353893,"score_gpt":0.3402558038938338,"score_spread":0.3018740173102949,"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."}}