{"id":"W3164329335","doi":"10.1007/s00261-021-03098-5","title":"Correction to: Artificial intelligence in assessment of hepatocellular carcinoma treatment response","year":2021,"lang":"en","type":"article","venue":"Abdominal Radiology","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Thunder Bay Regional Health Sciences Centre","funders":"","keywords":"Hepatology; Hepatocellular carcinoma; Medicine; Internal medicine; Carcinoma; Medical physics; Gastroenterology","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":[0.004017883,0.00186857,0.002725151,0.003008751,0.001810996,0.004202907,0.003213852,0.007866678,0.06597103],"category_scores_gemma":[0.09395522,0.0010563,0.001611179,0.00175504,0.002380828,0.001546907,0.001766547,0.00951355,0.03151687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003611089,"about_ca_system_score_gemma":0.00416754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009692618,"about_ca_topic_score_gemma":0.009517126,"domain_scores_codex":[0.9945952,0.001135137,0.001380588,0.0007520887,0.001550432,0.000586493],"domain_scores_gemma":[0.9500275,0.0154124,0.00277676,0.003401535,0.02542188,0.002959905],"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":[0.00009483421,0.000007870092,0.0002550977,0.0002429775,0.00002866602,0.0003460644,0.0000197609,0.00008844116,0.00005244745,0.000573214,0.9901485,0.008142051],"study_design_scores_gemma":[0.0001757189,0.00005519387,0.00274398,0.0005726388,0.00008663521,0.001985209,0.0001158214,0.001405446,0.00062887,0.00234711,0.9898121,0.00007129429],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0002321079,0.001029715,0.0006589624,0.05687705,0.9382373,0.00004013895,0.0009615779,0.0002761171,0.001687048],"genre_scores_gemma":[0.02653971,0.005713619,0.004737658,0.09006197,0.7413291,0.0003846751,0.001870317,0.0009580449,0.1284049],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.06597103,"threshold_uncertainty_score":0.2206951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02369701152282805,"score_gpt":0.3438585716478595,"score_spread":0.3201615601250315,"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."}}