{"id":"W4280501111","doi":"10.1038/s41379-022-01098-4","title":"Correction to: Machine learning for rhabdomyosarcoma histopathology","year":2022,"lang":"en","type":"erratum","venue":"Modern Pathology","topic":"Hematological disorders and diagnostics","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hospital for Sick Children","funders":"","keywords":"Histopathology; Rhabdomyosarcoma; Sarcoma; Compendium; Citation; Medicine; Pathology; Artificial intelligence; Computer science; Library science; Geography","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003745144,0.0004401997,0.001267724,0.0003668074,0.0003175258,0.00001333612,0.0002227672,0.000782574,0.001061268],"category_scores_gemma":[0.004919381,0.0004202882,0.0003525993,0.0001867669,0.0001136265,0.00001933837,0.0002835808,0.002193051,0.00009799741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002350746,"about_ca_system_score_gemma":0.0002599536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003861273,"about_ca_topic_score_gemma":0.00008711936,"domain_scores_codex":[0.997315,0.0002544204,0.0005337152,0.0009614312,0.0002561697,0.0006792641],"domain_scores_gemma":[0.9982664,0.0006090204,0.0002292705,0.0005053636,0.00015227,0.0002376563],"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":[0.0005143018,0.0003600993,0.001876213,0.0002255349,0.00002428468,0.001768523,0.0003452738,0.0001690419,0.0002219117,0.0002130753,0.98111,0.01317173],"study_design_scores_gemma":[0.001156059,0.003938252,0.002345197,0.00007854444,0.0002495392,0.002471296,0.00004820829,0.01493731,0.00001016752,0.001769293,0.9725725,0.0004235984],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.009500911,0.03406702,0.3622003,0.01979209,0.335235,0.008611679,0.0008946707,0.001938208,0.2277602],"genre_scores_gemma":[0.03810836,0.001208878,0.004495669,0.01323126,0.001815126,0.002197959,0.009644795,0.0003525224,0.9289454],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7011853,"threshold_uncertainty_score":0.9998519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02255103942858147,"score_gpt":0.286454802275446,"score_spread":0.2639037628468645,"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."}}