{"id":"W4231254854","doi":"10.1093/nar/gkz1031","title":"The reactome pathway knowledgebase","year":2019,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2363,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Ontario Institute for Cancer Research","funders":"National Human Genome Research Institute; National Institutes of Health; European Bioinformatics Institute","keywords":"Upload; Annotation; Biology; Visualization; Computational biology; Computer science; Information retrieval; Bioinformatics; Data mining; World Wide Web","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":[0.00195218,0.003758118,0.001749285,0.00973035,0.001021295,0.004183171,0.003834204,0.002033454,0.0642891],"category_scores_gemma":[0.005766643,0.001378858,0.003011113,0.006600665,0.0005200957,0.002789378,0.0031263,0.002207002,0.03372822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001499496,"about_ca_system_score_gemma":0.003521909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004988644,"about_ca_topic_score_gemma":0.004142174,"domain_scores_codex":[0.9985371,0.0002202141,0.0002425877,0.0004565387,0.0004350722,0.0001085559],"domain_scores_gemma":[0.9977736,0.0008588643,0.0002581569,0.0005467384,0.0004012454,0.0001614771],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001656463,0.0002734099,0.004489784,0.01782519,0.001143171,0.002212095,0.0003386245,0.05022193,0.01308652,0.06959192,0.6530774,0.1860835],"study_design_scores_gemma":[0.0003202342,0.00005151198,0.00166195,0.001064358,0.0003925915,0.000991095,0.00009204695,0.02909145,0.01200488,0.04780451,0.9063694,0.0001557925],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.002730967,0.003595498,0.09867292,0.0008814521,0.0003453158,0.0005378356,0.7949269,0.07884026,0.01946877],"genre_scores_gemma":[0.01510289,0.004640066,0.073667,0.0005650586,0.00008583452,0.001162573,0.8938182,0.006294439,0.004663921],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.0642891,"threshold_uncertainty_score":0.2150685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02164495633081961,"score_gpt":0.3030615880552884,"score_spread":0.2814166317244687,"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."}}