{"id":"W3099496190","doi":"10.1093/nar/gkaa1004","title":"The Transporter Classification Database (TCDB): 2021 update","year":2020,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"RNA and protein synthesis mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":473,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"National Institute of General Medical Sciences; National Institutes of Health","keywords":"Biology; Identification (biology); Transporter; Database; Computational biology; Protein family; Bioinformatics; Genetics; Computer science; Gene","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":[0.003168561,0.001399728,0.002229077,0.009054943,0.0008231441,0.004820055,0.002914076,0.001995898,0.03309676],"category_scores_gemma":[0.01005365,0.0008626954,0.0009406015,0.01128757,0.0003629703,0.004438794,0.003037255,0.002117127,0.05880674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001882716,"about_ca_system_score_gemma":0.006488752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008128806,"about_ca_topic_score_gemma":0.007030962,"domain_scores_codex":[0.9984705,0.0001841094,0.0004421253,0.0002165845,0.0005360125,0.0001507547],"domain_scores_gemma":[0.9948062,0.0007006638,0.0005668799,0.0004548622,0.00258449,0.0008869557],"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":[0.0002976919,0.00006271321,0.001169331,0.001913766,0.00006757004,0.00011801,0.00006359858,0.0003134581,0.002266951,0.002762749,0.872068,0.1188961],"study_design_scores_gemma":[0.00004083853,0.0000219197,0.001263411,0.0003400571,0.00004575469,0.0002019362,0.00002422687,0.0002924673,0.0006341116,0.0009010514,0.9962058,0.00002832006],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.004507169,0.02219181,0.01859623,0.006345301,0.002450303,0.000427405,0.9053953,0.01699117,0.02309517],"genre_scores_gemma":[0.002513961,0.006267436,0.01162072,0.001159791,0.0002268674,0.0002225575,0.9707965,0.0012054,0.005986789],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03309676,"threshold_uncertainty_score":0.1107197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06664034700677715,"score_gpt":0.3296742821295862,"score_spread":0.263033935122809,"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."}}