{"id":"W3092539409","doi":"10.1016/j.nic.2020.08.001","title":"Review of Natural Language Processing in Radiology","year":2020,"lang":"en","type":"review","venue":"Neuroimaging Clinics of North America","topic":"Topic Modeling","field":"Computer Science","cited_by":45,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University; McGill University","funders":"","keywords":"Artificial intelligence; Workflow; Natural language processing; Preprocessor; Deep learning; Computer science; Task (project management); Applications of artificial intelligence; Field (mathematics); 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002199634,0.001011303,0.002027912,0.005208619,0.0003043273,0.001514574,0.001313287,0.001594966,0.004207158],"category_scores_gemma":[0.007313021,0.0004721718,0.001189499,0.004791161,0.000730145,0.002325286,0.0009601607,0.001681668,0.001336822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009090664,"about_ca_system_score_gemma":0.004165091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003913868,"about_ca_topic_score_gemma":0.007800607,"domain_scores_codex":[0.9992895,0.0002241883,0.0001707216,0.0001261169,0.0001533196,0.0000361872],"domain_scores_gemma":[0.9945865,0.004256489,0.000381671,0.00009448812,0.0005604873,0.0001204369],"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":[0.00007540269,0.00005609237,0.0002890911,0.04975666,0.0002837178,0.0001124561,0.00007008004,0.0003853175,0.0003870429,0.001731167,0.03270513,0.9141478],"study_design_scores_gemma":[0.00007750266,0.0001769915,0.003358411,0.0481859,0.001753395,0.001491326,0.0001640201,0.0005837332,0.0005477953,0.006173188,0.9374061,0.00008159359],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00004687232,0.999086,0.0001977443,0.000300558,0.0001029564,0.000004874069,0.00002601235,0.000008339292,0.0002265632],"genre_scores_gemma":[0.0004930935,0.9982656,0.0004547698,0.0003512137,0.000273684,0.000009002828,0.00004857396,0.000002823738,0.0001012505],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005208619,"threshold_uncertainty_score":0.01407439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04431211808935599,"score_gpt":0.3678468976612778,"score_spread":0.3235347795719218,"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."}}