{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002585048,0.001653131,0.001654533,0.003519033,0.002172436,0.00313528,0.002444812,0.006110206,0.06803827],"category_scores_gemma":[0.05421101,0.0008657339,0.001346864,0.001350278,0.002059895,0.001709223,0.001445842,0.009327044,0.03957701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002608057,"about_ca_system_score_gemma":0.003413165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009059159,"about_ca_topic_score_gemma":0.01107065,"domain_scores_codex":[0.9973779,0.0004124163,0.0005871907,0.0003886449,0.000991789,0.000242022],"domain_scores_gemma":[0.9740416,0.00747725,0.001177359,0.001628925,0.01406879,0.001606051],"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":[0.00002017409,0.000003941967,0.0000654344,0.00006939398,0.000006472967,0.000309504,0.000007829863,0.00003246967,0.00003038296,0.0003051644,0.9940706,0.005078653],"study_design_scores_gemma":[0.00004685156,0.00002160429,0.0007357724,0.000290729,0.00003149629,0.001800788,0.00004761498,0.0004844381,0.0003534413,0.002356084,0.9937955,0.00003556521],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0001670054,0.0008911933,0.0008513835,0.0643842,0.929324,0.0000283919,0.000959825,0.0005089582,0.002885096],"genre_scores_gemma":[0.01252886,0.005539511,0.007038515,0.1155007,0.6307823,0.0002240638,0.002175611,0.002059387,0.2241511],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.06803827,"threshold_uncertainty_score":0.2276107,"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."}}