{"id":"W4288175377","doi":"10.1007/s00261-022-03616-z","title":"CT, MRI, and radiomics studies of liver metastasis histopathological growth patterns: an up-to-date review","year":2022,"lang":"en","type":"review","venue":"Abdominal Radiology","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Medicine; Radiomics; Magnetic resonance imaging; Radiology; Risk stratification; Computed tomography; Hepatology; Pathology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009791431,0.0008559501,0.002168466,0.003861591,0.0002178248,0.001262857,0.001061538,0.001074784,0.00318307],"category_scores_gemma":[0.003421468,0.0003550779,0.001034687,0.003918136,0.0005510871,0.001793392,0.0006849255,0.001003467,0.0009301135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004028257,"about_ca_system_score_gemma":0.001637462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001556987,"about_ca_topic_score_gemma":0.003257826,"domain_scores_codex":[0.9995927,0.00007686159,0.0001132054,0.00008544751,0.0001047311,0.00002707713],"domain_scores_gemma":[0.9980906,0.0013363,0.0002654461,0.00003337564,0.0002290531,0.00004520145],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0001473393,0.00005643067,0.001520228,0.08596848,0.0005979394,0.0007669852,0.000108243,0.0003796861,0.001402321,0.00112709,0.01968265,0.8882425],"study_design_scores_gemma":[0.0001093645,0.0002765248,0.009598101,0.07640412,0.005595597,0.01719697,0.0004162036,0.000382833,0.001405166,0.002254866,0.8862261,0.000134119],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00009957007,0.9995665,0.0000474567,0.00006624736,0.00003203241,0.000002908189,0.00001817944,0.000002062418,0.0001651362],"genre_scores_gemma":[0.0008016403,0.9987134,0.0001623888,0.0001374814,0.00007910664,0.000003716896,0.00003389771,0.00000105736,0.00006733224],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003861591,"threshold_uncertainty_score":0.01064843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09952492923845635,"score_gpt":0.4068780122306997,"score_spread":0.3073530829922433,"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."}}