{"id":"W2028133290","doi":"10.1093/nar/gkq1018","title":"Reactome: a database of reactions, pathways and biological processes","year":2010,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1799,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Ontario Institute for Cancer Research","funders":"National Human Genome Research Institute","keywords":"Ensembl; Biology; Annotation; chEMBL; Biological pathway; SBML; Computational biology; Database; World Wide Web; Computer science; Bioinformatics; Genomics; Genome; Genetics; Drug discovery; XML; Gene","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.003818065,0.005749472,0.004740579,0.009849619,0.001229963,0.004680572,0.004521947,0.001825301,0.03156081],"category_scores_gemma":[0.006999439,0.002435528,0.005452273,0.008308723,0.0008133849,0.004287078,0.004401932,0.003513725,0.02227536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001609695,"about_ca_system_score_gemma":0.003713946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002756513,"about_ca_topic_score_gemma":0.003115111,"domain_scores_codex":[0.9965168,0.0007363184,0.0006518264,0.001107911,0.0008041439,0.0001830097],"domain_scores_gemma":[0.9963811,0.001378432,0.0006680705,0.0008818279,0.0004095866,0.0002809956],"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":[0.00390513,0.0004565688,0.01042211,0.03397841,0.00469427,0.002542077,0.000914243,0.05633964,0.0667721,0.1093051,0.5487871,0.1618832],"study_design_scores_gemma":[0.0005950288,0.0001509156,0.003680073,0.0008015819,0.0008917426,0.001201436,0.0001561331,0.03621979,0.02597688,0.06161164,0.8684134,0.0003014878],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.005277006,0.007206325,0.2605944,0.0007683155,0.000496497,0.0007101293,0.5624598,0.1500343,0.01245335],"genre_scores_gemma":[0.02378668,0.006500214,0.158375,0.0005354189,0.0001492935,0.001766765,0.7946613,0.009647463,0.00457787],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03156081,"threshold_uncertainty_score":0.1055814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04776990182388198,"score_gpt":0.3233706450189272,"score_spread":0.2756007431950452,"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."}}