{"id":"W3002900120","doi":"10.1259/bjr.20190855","title":"Artificial Intelligence: reshaping the practice of radiological sciences in the 21st century","year":2020,"lang":"en","type":"review","venue":"British Journal of Radiology","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":100,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; University of Toronto","funders":"National Cancer Institute","keywords":"Applications of artificial intelligence; Data science; Artificial intelligence; Computer science; Analytics; Health care; Entertainment; Engineering ethics; Medicine; Engineering; Political science","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":[0.002907783,0.0009478741,0.001112072,0.00393946,0.0006235859,0.003468729,0.001312035,0.003510761,0.00388287],"category_scores_gemma":[0.005358084,0.0003483948,0.0006197264,0.004098317,0.003766235,0.005946293,0.001884339,0.005556313,0.002315823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001930031,"about_ca_system_score_gemma":0.002767139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001716441,"about_ca_topic_score_gemma":0.002285223,"domain_scores_codex":[0.9982343,0.0005498655,0.0001732886,0.0001611219,0.0008005152,0.00008097835],"domain_scores_gemma":[0.9938513,0.004460376,0.0003464331,0.0002015667,0.0008314797,0.0003088066],"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":[0.00003279495,0.00004260523,0.0002430924,0.008020169,0.00007643991,0.0001242302,0.0004408151,0.0004262834,0.0005948014,0.03007103,0.07309731,0.8868303],"study_design_scores_gemma":[0.000006712601,0.00003259243,0.0005809996,0.004055671,0.00002202884,0.0006883432,0.0001951957,0.0001573522,0.0001284728,0.01820391,0.9759057,0.0000230642],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001147903,0.9899922,0.0008440575,0.005486194,0.001010455,0.000004863199,0.000009134583,0.00002591742,0.002512421],"genre_scores_gemma":[0.001676167,0.9915177,0.001005672,0.002495189,0.002061278,0.000009721789,0.0000209087,0.00001161798,0.001201707],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.00393946,"threshold_uncertainty_score":0.015378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06705026402170557,"score_gpt":0.3947881149658452,"score_spread":0.3277378509441397,"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."}}