{"id":"W6958372081","doi":"10.6084/m9.figshare.22599269","title":"Additional file 7 of Prospective evaluation of Gadoxetate-enhanced magnetic resonance imaging and computed tomography for hepatocellular carcinoma detection and transplant eligibility assessment with explant histopathology correlation","year":2023,"lang":"en","type":"article","venue":"Figshare","topic":"Hepatocellular Carcinoma Treatment and Prognosis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network; University of Toronto","funders":"","keywords":"Hepatocellular carcinoma; Magnetic resonance imaging; Histopathology; Computed tomography; Correlation; Medical imaging","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001442288,0.0007491119,0.00105493,0.002072451,0.0008110977,0.001232142,0.001195377,0.0008980574,0.8350241],"category_scores_gemma":[0.03501126,0.0004287993,0.0006970898,0.003232924,0.0001877992,0.0014272,0.0009911361,0.0006643346,0.1447756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001167075,"about_ca_system_score_gemma":0.001345281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007652646,"about_ca_topic_score_gemma":0.01231002,"domain_scores_codex":[0.9989225,0.000171808,0.0003112235,0.0002011254,0.0002279951,0.0001653025],"domain_scores_gemma":[0.9740738,0.01392336,0.003679656,0.001771383,0.005614121,0.0009375766],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0004697209,0.00008753254,0.006114135,0.00117162,0.00003806295,0.00007231969,0.0000355339,0.0001732662,0.00004889994,0.0004656632,0.9822891,0.00903418],"study_design_scores_gemma":[0.007697633,0.0004973685,0.1122925,0.008294524,0.0002700523,0.001171864,0.0007822835,0.001661176,0.0009011054,0.01081726,0.8554117,0.0002025845],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003872571,0.00001977647,0.0001200664,0.0001620692,0.00002513724,0.0001493865,0.9959975,0.0001296123,0.003009184],"genre_scores_gemma":[0.01696449,0.0001937887,0.001741004,0.001068688,0.0002648778,0.00261768,0.9524132,0.000536564,0.02419979],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8350241,"threshold_uncertainty_score":0.2353182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04000056840835492,"score_gpt":0.2616034175211003,"score_spread":0.2216028491127454,"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."}}