{"id":"W4405231360","doi":"10.1093/dmfr/twae054","title":"The influence of a deep learning tool on the performance of oral and maxillofacial radiologists in the detection of apical radiolucencies","year":2024,"lang":"en","type":"article","venue":"Dentomaxillofacial Radiology","topic":"Dental Radiography and Imaging","field":"Dentistry","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Brain Institute","funders":"","keywords":"Dentistry; Medicine; Oral and maxillofacial radiology; Orthodontics; Oral and maxillofacial surgery; Radiology; Medical 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":[0.006961966,0.0008664668,0.0005140395,0.0006284045,0.0002187652,0.001215818,0.0004680973,0.000924253,0.0008117894],"category_scores_gemma":[0.03475903,0.0002346127,0.0005024984,0.0004092139,0.0004172125,0.001191147,0.0007401364,0.0009135137,0.0004273835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005646686,"about_ca_system_score_gemma":0.0005599241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002101885,"about_ca_topic_score_gemma":0.001926112,"domain_scores_codex":[0.99729,0.001118735,0.0002472566,0.0006114022,0.0004894916,0.0002431133],"domain_scores_gemma":[0.9703616,0.02303627,0.001980029,0.0008994631,0.002857232,0.0008654871],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006290617,0.001436232,0.6915504,0.0002728348,0.000763038,0.0003148322,0.0004020989,0.06793201,0.01258878,0.0001312625,0.0014128,0.216905],"study_design_scores_gemma":[0.000154071,0.007449542,0.4508071,0.0001564004,0.0005909822,0.0006850667,0.0005630751,0.5182266,0.01945793,0.0006102737,0.001197709,0.0001011294],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941056,0.0004391644,0.004209666,0.0001877539,0.00003193017,0.00002064691,0.0001671203,0.0001360847,0.0007019768],"genre_scores_gemma":[0.9976035,0.00006705721,0.001826029,0.00004545278,0.000009434813,0.00001013995,0.0002042655,0.00001297118,0.0002213115],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006961966,"threshold_uncertainty_score":0.03681886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01043936833576165,"score_gpt":0.2569219457625034,"score_spread":0.2464825774267418,"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."}}