{"id":"W4291196961","doi":"10.1016/j.diii.2022.08.001","title":"Does artificial intelligence surpass the radiologist?","year":2022,"lang":"en","type":"letter","venue":"Diagnostic and Interventional Imaging","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":54,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University; Hamilton General Hospital","funders":"","keywords":"Medicine; Bone age; Confidence interval; Radiography; Pediatrics; Nuclear medicine; Radiology; Internal medicine","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006003748,0.0002440039,0.000314452,0.0001515409,0.0004346077,0.0001167044,0.000214559,0.0001479644,0.003551763],"category_scores_gemma":[0.002210696,0.0001386612,0.0002739257,0.0001515408,0.0004106721,0.00009466469,0.0001414646,0.001723714,0.00007934906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000156597,"about_ca_system_score_gemma":0.0001625838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006958797,"about_ca_topic_score_gemma":0.00002195469,"domain_scores_codex":[0.9978685,0.0002073709,0.0007025479,0.0004666044,0.0003867173,0.000368251],"domain_scores_gemma":[0.9960808,0.003136812,0.0002217148,0.0003159654,0.0001751562,0.0000695887],"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":[0.00004313512,0.0001267713,0.01059467,0.0003331381,0.00009252948,0.0003588817,0.0003954564,0.000006005506,0.000003362487,0.001817356,0.8463068,0.1399219],"study_design_scores_gemma":[0.00002119828,0.0003038461,0.002649824,0.0007075192,0.0002843067,0.0003919477,0.002630807,0.0008798469,0.0002310966,0.05644054,0.9350824,0.0003766627],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.002805534,0.00295468,0.002613105,0.9863962,0.004002225,0.0005863821,0.00007600361,0.00006036976,0.0005055048],"genre_scores_gemma":[0.3228355,0.001117319,0.0002044116,0.6581298,0.01136362,0.0005891282,0.001830981,0.00007757684,0.003851719],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.3282665,"threshold_uncertainty_score":0.9973591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1192630000782796,"score_gpt":0.3977859431092199,"score_spread":0.2785229430309403,"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."}}