{"id":"W4388539829","doi":"10.1093/nar/gkad1025","title":"The Reactome Pathway Knowledgebase 2024","year":2023,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1339,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Ontario Institute for Cancer Research","funders":"National Institute of General Medical Sciences; National Cancer Institute; National Institutes of Health; National Human Genome Research Institute; University of Toronto; European Bioinformatics Institute","keywords":"Biology; Computational biology; Genetics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.003089668,0.003183034,0.002286769,0.00917553,0.001207201,0.00449114,0.004836162,0.002211761,0.05437541],"category_scores_gemma":[0.006394959,0.001618117,0.003280333,0.008039331,0.0005463163,0.002517594,0.004090435,0.002680759,0.04507348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00164051,"about_ca_system_score_gemma":0.00573176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006595606,"about_ca_topic_score_gemma":0.007038056,"domain_scores_codex":[0.9985462,0.0002877087,0.0002189357,0.0003850922,0.0004402524,0.0001219114],"domain_scores_gemma":[0.9979062,0.0007176955,0.0002441807,0.0005255224,0.0003914738,0.0002149284],"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":[0.001140344,0.0001739477,0.003132846,0.01465839,0.001275609,0.001404296,0.0003435379,0.01857299,0.01223792,0.0735499,0.7495115,0.1239987],"study_design_scores_gemma":[0.0002007661,0.00003954683,0.001411641,0.001084202,0.0003500604,0.0008324403,0.00008808473,0.008940164,0.006120862,0.03472824,0.94609,0.0001140439],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.002625671,0.006426394,0.09634741,0.001337358,0.0005014467,0.0006019817,0.8053248,0.05519679,0.03163805],"genre_scores_gemma":[0.009129246,0.004865241,0.06102323,0.0007042472,0.00008220197,0.0009916978,0.9128412,0.004865023,0.005497893],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.05437541,"threshold_uncertainty_score":0.1819038,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04754267240900404,"score_gpt":0.3568907703958564,"score_spread":0.3093480979868524,"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."}}