{"id":"W2125318012","doi":"10.1093/nar/gkp1002","title":"SMPDB: The Small Molecule Pathway Database","year":2009,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":375,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Institute for Nanotechnology; University of Alberta","funders":"Canadian Institutes of Health Research; Genome Alberta; Ministry of Advanced Education, Government of Alberta; Genome Canada","keywords":"UniProt; DrugBank; Biology; Computational biology; Metabolic pathway; Database; Biological pathway; Proteomics; Gene; Genetics; Computer science; Gene expression","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":[0.001144587,0.002307084,0.001888105,0.004651349,0.0009550342,0.004094584,0.003604712,0.001682517,0.06939847],"category_scores_gemma":[0.002891328,0.001083545,0.001745675,0.005596608,0.0003421791,0.002882602,0.002956122,0.001609885,0.06842049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009668413,"about_ca_system_score_gemma":0.002543282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002143602,"about_ca_topic_score_gemma":0.002025575,"domain_scores_codex":[0.9992461,0.0001181217,0.0001199816,0.0002000308,0.0002346691,0.0000811192],"domain_scores_gemma":[0.998998,0.0002150357,0.000132406,0.0002260081,0.0002387968,0.0001897369],"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":[0.001834735,0.0001210283,0.001884796,0.005958865,0.00032557,0.0008866422,0.0001506247,0.004266778,0.0169984,0.01424458,0.8836233,0.06970462],"study_design_scores_gemma":[0.0004012708,0.00008871354,0.001889245,0.000431258,0.0001428527,0.0007844166,0.00007369861,0.006405719,0.01017939,0.01446975,0.965023,0.0001105476],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.002985093,0.003436632,0.0359816,0.0006194338,0.0002073626,0.0002787017,0.8555112,0.08407862,0.01690137],"genre_scores_gemma":[0.008954509,0.002422021,0.02613354,0.0003189878,0.0000464692,0.0003760527,0.9538264,0.004197024,0.003725045],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.06939847,"threshold_uncertainty_score":0.232161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03692771318609916,"score_gpt":0.3058523679329444,"score_spread":0.2689246547468452,"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."}}