{"id":"W4220742071","doi":"10.1038/s41374-022-00759-x","title":"USCAP 2022 Abstracts: Informatics (977-1017)","year":2022,"lang":"en","type":"article","venue":"Laboratory Investigation","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Alberta Health Services; University of Alberta; University of Calgary; Alberta Hospital Edmonton; University of Alberta Hospital","funders":"Foundation Medicine","keywords":"Informatics; Medicine; Computer science; Library science; Engineering; Electrical 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007438222,0.0001138376,0.0001684516,0.0001370283,0.0003000941,0.00003456126,0.0001111745,0.00004335385,0.0005407268],"category_scores_gemma":[0.0004053641,0.0001151264,0.00003848047,0.0005074756,0.0001118778,0.0001829584,0.00006934709,0.0007211714,0.00005695271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000156368,"about_ca_system_score_gemma":0.0003347244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002271973,"about_ca_topic_score_gemma":0.000001028043,"domain_scores_codex":[0.998665,0.00008517382,0.0004099461,0.0001294274,0.0005145391,0.0001958763],"domain_scores_gemma":[0.9991682,0.00004933943,0.0002093915,0.0002505179,0.00009974891,0.0002228052],"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":[0.0002789334,0.0006443185,0.2611171,0.001387487,0.0004228497,0.0004033353,0.02764362,0.02867244,0.2367765,0.02278391,0.379512,0.04035746],"study_design_scores_gemma":[0.00232997,0.0003939374,0.0531153,0.00008890522,0.00014102,0.0001314192,0.003770247,0.04604613,0.005425101,0.001850482,0.8862562,0.0004512602],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9901657,0.0001890331,0.0002045227,0.004392913,0.0005104931,0.0002327683,0.00002712936,0.0001521371,0.004125339],"genre_scores_gemma":[0.9760362,0.00002506961,0.005867669,0.01647747,0.0003023585,0.00007692932,0.0003435602,0.00003703008,0.0008337278],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5067443,"threshold_uncertainty_score":0.5920579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009212656423472547,"score_gpt":0.2527011562683321,"score_spread":0.2434884998448596,"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."}}