{"id":"W2990357513","doi":"10.14740/gr1210","title":"Diagnosis of Liver Neoplasms by Computational and Statistical Image Analysis","year":2019,"lang":"en","type":"article","venue":"Gastroenterology Research","topic":"AI in cancer detection","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hepatocellular carcinoma; Medicine; Nuclear medicine; H&E stain; Pattern recognition (psychology); Pathology; Artificial intelligence; Internal medicine; Computer science; Staining","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001779509,0.0005556857,0.0005850916,0.003685923,0.0003073089,0.00126563,0.0007263927,0.0004084317,0.001152589],"category_scores_gemma":[0.006082403,0.0001935628,0.0007880015,0.001305668,0.0006833477,0.0005510505,0.0007083086,0.000499027,0.0006136675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006775796,"about_ca_system_score_gemma":0.001093895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001943346,"about_ca_topic_score_gemma":0.002023029,"domain_scores_codex":[0.999077,0.0002650057,0.00007855525,0.000169332,0.000349172,0.00006091017],"domain_scores_gemma":[0.9968548,0.001687446,0.0004279679,0.0002618646,0.0006828643,0.00008518599],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009458704,0.000471148,0.08240663,0.0005407503,0.0003545338,0.0004592088,0.0003618125,0.1322833,0.05502792,0.004122953,0.003297501,0.7197283],"study_design_scores_gemma":[0.00002270445,0.0001365474,0.02433585,0.00003648291,0.00006398025,0.0005947874,0.0001137203,0.953826,0.01560825,0.003394709,0.001826267,0.00004077453],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2440372,0.0005650122,0.7474326,0.0004185227,0.00004672667,0.0003464666,0.0007308783,0.003084999,0.003337501],"genre_scores_gemma":[0.6081069,0.0002237169,0.389859,0.00006631589,0.00003743423,0.0003064095,0.0007946346,0.0001116057,0.0004940346],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003685923,"threshold_uncertainty_score":0.009411097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01829251492289608,"score_gpt":0.3185760461565273,"score_spread":0.3002835312336312,"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."}}