{"id":"W2214170870","doi":"10.1016/j.oooo.2015.06.019","title":"Cone Beam Computed Tomography Radiation Exposure: Extent of DNA Damage","year":2015,"lang":"en","type":"article","venue":"Oral Surgery Oral Medicine Oral Pathology and Oral Radiology","topic":"Dental Radiography and Imaging","field":"Dentistry","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Cone beam computed tomography; Ionizing radiation; DNA damage; Radiography; Nuclear medicine; Medicine; Radiation damage; Computed tomography; Biomarker; Tomography; Radiation exposure; Radiology; DNA; Radiation; Optics; Irradiation; Biology; Physics","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":[0.0007821516,0.0002697439,0.0002867565,0.001840078,0.0002547824,0.0006313406,0.0003492176,0.0007254743,0.005166145],"category_scores_gemma":[0.002567466,0.0002816391,0.0002577849,0.001178829,0.0003803304,0.0004170791,0.0002645593,0.0004375623,0.0004832938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004976751,"about_ca_system_score_gemma":0.0005977195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004326013,"about_ca_topic_score_gemma":0.004995305,"domain_scores_codex":[0.9990199,0.000123504,0.00006015051,0.0001333512,0.0006066319,0.00005649545],"domain_scores_gemma":[0.9978349,0.0006415873,0.0005134305,0.0001464495,0.0006892289,0.0001745076],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00582836,0.0003327382,0.60596,0.0005159926,0.0002981682,0.001587249,0.0006846811,0.002113831,0.3074039,0.0006854083,0.0008310562,0.0737587],"study_design_scores_gemma":[0.00002799987,0.0009065317,0.9600029,0.00006654972,0.0001197497,0.003039279,0.0003025784,0.001002075,0.03175256,0.0002470016,0.002509508,0.00002337017],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9640661,0.01164416,0.00555401,0.0002096268,0.00004767168,0.0003112449,0.001967037,0.0001118422,0.01608832],"genre_scores_gemma":[0.9937897,0.001556373,0.001577416,0.00008710522,0.0000203152,0.00004142446,0.000287112,0.0000200245,0.002620495],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005166145,"threshold_uncertainty_score":0.01728249,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02868941085987385,"score_gpt":0.2793631099442197,"score_spread":0.2506736990843458,"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."}}