{"id":"W4416308796","doi":"10.1093/nar/gkaf1223","title":"The Reactome Knowledgebase 2026","year":2025,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Ontario Institute for Cancer Research","funders":"National Institutes of Health; European Bioinformatics Institute","keywords":"Workflow; Visualization; Modular design; Data visualization; User interface; Interface (matter); Data integration; The Internet","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":[0.005418526,0.003602951,0.003318975,0.01217336,0.001599814,0.005519229,0.006704241,0.003569288,0.06422696],"category_scores_gemma":[0.01496745,0.002342037,0.003505463,0.007996421,0.0007657909,0.003441963,0.006141025,0.003638879,0.08957468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001980188,"about_ca_system_score_gemma":0.007205997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006157943,"about_ca_topic_score_gemma":0.007997851,"domain_scores_codex":[0.9966584,0.0007440599,0.0005250012,0.0008040404,0.001019045,0.000249353],"domain_scores_gemma":[0.9959974,0.001429656,0.0004736851,0.0009516941,0.0007517268,0.0003958176],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005842755,0.00009397005,0.001334398,0.01016573,0.0006317657,0.0006988359,0.0002631041,0.005076704,0.00487583,0.02928377,0.8640252,0.0829666],"study_design_scores_gemma":[0.0001160051,0.00002568704,0.0006303507,0.001045361,0.0002356585,0.0003478262,0.0000485837,0.001951731,0.00251413,0.01361283,0.9794068,0.00006510592],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001983147,0.01362708,0.08575927,0.002886941,0.001072633,0.0007337193,0.7706492,0.0808674,0.04242059],"genre_scores_gemma":[0.00514231,0.005800761,0.04338792,0.001428236,0.0001417433,0.001127753,0.9306878,0.005574711,0.006708769],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06422696,"threshold_uncertainty_score":0.2148606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02188175949250938,"score_gpt":0.3369826534496376,"score_spread":0.3151008939571282,"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."}}