{"id":"W4308782124","doi":"10.1016/j.jmir.2022.10.196","title":"The impact of artificial intelligence on radiography as a profession: A narrative review","year":2022,"lang":"en","type":"review","venue":"Journal of medical imaging and radiation sciences","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Radiography; Narrative review; Computer science; Medical physics; Artificial intelligence; Medical imaging; Medicine; 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":[],"consensus_categories":[],"category_scores_codex":[0.006997488,0.0001633703,0.0009120036,0.0004331938,0.0005413657,0.00004822205,0.0003599917,0.0000844381,0.0003267375],"category_scores_gemma":[0.005573835,0.0000744734,0.000535684,0.00125005,0.0006854688,0.0001148876,0.00003300697,0.0008891883,0.000003258724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001199913,"about_ca_system_score_gemma":0.004120298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000812249,"about_ca_topic_score_gemma":0.000001082512,"domain_scores_codex":[0.9959201,0.0005681724,0.001515917,0.0001877193,0.001614188,0.0001938714],"domain_scores_gemma":[0.9952961,0.002424437,0.001638237,0.0001410528,0.0002137838,0.0002864306],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001782834,0.00006939328,0.00003396686,0.001655232,0.00004840654,0.00001223581,0.00105891,0.000001153444,6.296005e-8,0.0001685556,0.00514859,0.9917856],"study_design_scores_gemma":[0.00003311719,0.00200101,0.00003010887,0.08545583,0.0005377085,0.001963864,0.01972159,0.0007220373,0.000005088101,0.002373876,0.8869537,0.0002020871],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001904358,0.9836693,0.00005646867,0.0144389,0.001141569,0.0003821831,0.000001610706,0.000004070552,0.0001155008],"genre_scores_gemma":[0.0007935513,0.998107,0.00003475138,0.0003857955,0.0006395941,0.00001697313,0.000002850551,0.000006526283,0.00001300157],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9915836,"threshold_uncertainty_score":0.7309232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2270156597965233,"score_gpt":0.5686121357195061,"score_spread":0.3415964759229828,"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."}}