{"id":"W4414010813","doi":"10.1093/narcan/zcaf029","title":"Neural interaction explainable AI predicts drug response across cancers","year":2025,"lang":"en","type":"article","venue":"NAR Cancer","topic":"Computational Drug Discovery Methods","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"Ministry of Science and ICT, South Korea; Bundesministerium für Bildung und Forschung; Deutsche Forschungsgemeinschaft","keywords":"Drug; Drug response; Medicine; Artificial intelligence; Psychology; Computer science; Computational biology; Biology; Pharmacology","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":[0.000719902,0.0005607081,0.0004463643,0.0006494534,0.0001756784,0.0005290587,0.0004319515,0.0004659833,0.0007182145],"category_scores_gemma":[0.002101561,0.0001871179,0.0006220826,0.0003424036,0.0002961242,0.0003801979,0.000426194,0.0008792689,0.000108086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009069632,"about_ca_system_score_gemma":0.000597365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005007356,"about_ca_topic_score_gemma":0.005959125,"domain_scores_codex":[0.9998119,0.00006380849,0.000009403597,0.00006007639,0.00002990276,0.00002485204],"domain_scores_gemma":[0.999262,0.0005233856,0.000109691,0.00003609174,0.00004550795,0.00002329047],"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":[0.0001753352,0.0000921073,0.02755622,0.00006401186,0.0001990041,0.00006658282,0.00003215945,0.9255764,0.005756441,0.001424661,0.0007735895,0.03828346],"study_design_scores_gemma":[0.000004076891,0.00002955671,0.002457426,0.000001870707,0.00001575047,0.00001169293,0.000004193173,0.9950964,0.0006918319,0.001529302,0.0001545436,0.000003353994],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7769222,0.001484278,0.2154568,0.001155222,0.00005237601,0.00006825591,0.001565857,0.001139936,0.00215508],"genre_scores_gemma":[0.9877588,0.0001952101,0.01042443,0.0001188151,0.00001642123,0.0000430686,0.0007650527,0.00002024021,0.0006580258],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005007356,"threshold_uncertainty_score":0.009956419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0191613997626007,"score_gpt":0.3844270073168776,"score_spread":0.3652656075542769,"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."}}