{"id":"W4412750724","doi":"10.3390/curroncol32080431","title":"A Multimodal MRI-Based Model for Colorectal Liver Metastasis Prediction: Integrating Radiomics, Deep Learning, and Clinical Features with SHAP Interpretation","year":2025,"lang":"en","type":"article","venue":"Current Oncology","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Artificial intelligence; Deep learning; Radiomics; Medicine; Feature selection; Machine learning; Lasso (programming language); Interpretability; Computer science","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":[0.001592582,0.0009051865,0.0005709333,0.0009708275,0.0001841507,0.0007819176,0.0007892088,0.0006486984,0.001016158],"category_scores_gemma":[0.002890466,0.0002023149,0.000776935,0.0003854454,0.0003957198,0.0005239117,0.0007240822,0.0007726369,0.0002051872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007283155,"about_ca_system_score_gemma":0.0007715696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004298598,"about_ca_topic_score_gemma":0.004077731,"domain_scores_codex":[0.9996532,0.0001436002,0.00001754651,0.0001005115,0.0000559065,0.00002925474],"domain_scores_gemma":[0.9993151,0.000372031,0.0001164036,0.00003767671,0.0001195164,0.00003932896],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004983153,0.0002217014,0.05090947,0.0001037854,0.0002798847,0.0003952703,0.000110026,0.7856404,0.004889446,0.002387425,0.001918159,0.1526461],"study_design_scores_gemma":[0.000006211375,0.00005929127,0.001752946,0.000006402852,0.0000196927,0.00004371251,0.00000655028,0.9966924,0.0003427218,0.0009472888,0.0001170098,0.000005709149],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4781981,0.0007837432,0.5155636,0.001628951,0.00006475353,0.0001555613,0.0006629427,0.0008990708,0.002043176],"genre_scores_gemma":[0.9750746,0.00008529492,0.02375162,0.00008897955,0.00003050312,0.00006688008,0.0002507349,0.00001596761,0.0006355153],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004298598,"threshold_uncertainty_score":0.008547127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.032012648137387,"score_gpt":0.4055186854596705,"score_spread":0.3735060373222835,"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."}}