{"id":"W3005891124","doi":"10.1016/j.acra.2020.01.012","title":"Noninterpretive Uses of Artificial Intelligence in Radiology","year":2020,"lang":"en","type":"review","venue":"Academic Radiology","topic":"AI in cancer detection","field":"Computer Science","cited_by":101,"is_retracted":false,"has_abstract":false,"ca_institutions":"Health Sciences Centre; University of Toronto; Sunnybrook Health Science Centre","funders":"","keywords":"Computer science; Artificial intelligence; Task (project management); Applications of artificial intelligence; Action (physics); Expert system; Medical physics; Radiology; Medicine; Engineering","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":[0.002382126,0.0009587365,0.001868579,0.005258639,0.0004133128,0.002447983,0.001421306,0.001906236,0.004829371],"category_scores_gemma":[0.007132915,0.0004447652,0.0009892376,0.004600862,0.001504102,0.002879131,0.001089137,0.002748725,0.001502053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001307731,"about_ca_system_score_gemma":0.00242673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002286325,"about_ca_topic_score_gemma":0.004265848,"domain_scores_codex":[0.9988393,0.0003964321,0.0001810263,0.0001366726,0.0003953894,0.00005119795],"domain_scores_gemma":[0.9920617,0.006644997,0.0003809374,0.0001449071,0.0006636891,0.0001037633],"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":[0.00005622039,0.00005917823,0.0002719059,0.05053661,0.0002392934,0.0001428213,0.0001312009,0.0003056275,0.0003208797,0.009619459,0.01627379,0.922043],"study_design_scores_gemma":[0.00004061439,0.0001127462,0.002055167,0.0466795,0.0006050802,0.001584388,0.0002257591,0.0003176436,0.0004457273,0.01399125,0.9338866,0.00005553966],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00003196122,0.9991146,0.00009395976,0.000171315,0.000081992,0.000001922069,0.000005064996,0.000002448373,0.0004967813],"genre_scores_gemma":[0.0005649314,0.998565,0.0002011957,0.0002385896,0.0002266847,0.000004273567,0.00001246131,0.000001898276,0.0001850083],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005258639,"threshold_uncertainty_score":0.0161559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07048308614967656,"score_gpt":0.3710884946957462,"score_spread":0.3006054085460696,"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."}}