{"id":"W4401483661","doi":"10.3390/tomography10080092","title":"An Overview of Cone-Beam Computed Tomography and Dental Panoramic Radiography in Dentistry in the Community","year":2024,"lang":"en","type":"review","venue":"Tomography","topic":"Dental Radiography and Imaging","field":"Dentistry","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Cone beam computed tomography; Radiography; Cone beam ct; Computed tomography; Dental radiography; Medicine; Dentistry; Medical physics; Cone (formal languages); Orthodontics; Radiology; Computer science","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":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.001918867,0.001115411,0.002835397,0.006531899,0.0002216824,0.0005000036,0.002150465,0.0005847843,0.00003750747],"category_scores_gemma":[0.00001704839,0.0008860277,0.002650458,0.01256106,0.001065065,0.0005062908,0.0003430184,0.00306386,0.00002156135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004886637,"about_ca_system_score_gemma":0.00006784815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001609249,"about_ca_topic_score_gemma":0.001765848,"domain_scores_codex":[0.9931438,0.002404102,0.001962033,0.0009320224,0.0007565804,0.000801465],"domain_scores_gemma":[0.9968078,0.0005982283,0.0006401264,0.001700098,0.00005403542,0.0001997654],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001010158,0.004879356,0.2827657,0.1310882,0.00327859,0.003712721,0.002753096,0.000002994798,0.00003911994,0.002992396,0.002846138,0.5655407],"study_design_scores_gemma":[0.00557387,0.001267948,0.4711007,0.1389162,0.01231516,0.01092019,0.008453664,0.0001212104,0.00003377598,0.005118857,0.3395995,0.006578889],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.07244408,0.9240245,0.000007329532,0.000004027774,0.0009428639,0.001401292,0.0006768808,0.0001437704,0.0003552669],"genre_scores_gemma":[0.1684359,0.8304251,0.00008446466,0.00008409062,0.00007808694,0.0001568261,0.0006196014,0.0001110321,0.0000047862],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.5589617,"threshold_uncertainty_score":0.999359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06237092697872201,"score_gpt":0.3601869016153448,"score_spread":0.2978159746366228,"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."}}