{"id":"W2970283707","doi":"10.1007/s12072-019-09973-0","title":"Radiomics in hepatocellular carcinoma: a quantitative review","year":2019,"lang":"en","type":"review","venue":"Hepatology International","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":131,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Horizon 2020 Framework Programme; European Commission","keywords":"Radiomics; Medicine; Hepatocellular carcinoma; Radiology; Magnetic resonance imaging; Medical physics; Positron emission tomography; Internal medicine","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"],"consensus_categories":[],"category_scores_codex":[0.0005825342,0.0004004271,0.002671139,0.0005650702,0.00002346672,0.00001409309,0.000411993,0.0003579835,0.0005024626],"category_scores_gemma":[0.0008812945,0.0003341034,0.0006076303,0.0003016229,0.000137766,0.00005473107,0.0001262405,0.001451988,0.0005180282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004413933,"about_ca_system_score_gemma":0.0007782986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007533751,"about_ca_topic_score_gemma":0.000003455157,"domain_scores_codex":[0.9974298,0.0002579328,0.001022695,0.0006015613,0.0003515839,0.0003364056],"domain_scores_gemma":[0.9985504,0.0003682123,0.0004415381,0.0004024578,0.000112486,0.0001249588],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005971955,0.000379186,0.06147213,0.1284927,0.001119553,0.004265102,0.0001036073,9.299241e-7,0.000001021006,0.01189018,0.02368817,0.7685277],"study_design_scores_gemma":[0.0006238507,0.00005806458,0.00004846551,0.04041883,0.0007871168,0.002409519,0.000004126767,0.005442877,1.186329e-7,0.00004411304,0.9499111,0.0002517933],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001111862,0.9909309,0.0001922207,0.001886645,0.00144669,0.001070522,0.00002889468,0.0000370636,0.004295908],"genre_scores_gemma":[0.00009120602,0.9942902,0.001343578,0.002060405,0.0001704766,0.0001256305,0.0008420937,0.00007039372,0.001006051],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.926223,"threshold_uncertainty_score":0.9999111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07115902956135728,"score_gpt":0.4004379783425816,"score_spread":0.3292789487812243,"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."}}