{"id":"W2114347076","doi":"10.1093/nar/gkv1103","title":"The Transporter Classification Database (TCDB): recent advances","year":2015,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"RNA and protein synthesis mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1057,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"National Institute of General Medical Sciences","keywords":"Biology; Computational biology; Transporter; Database; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002015703,0.00009172994,0.00007269328,0.00003464541,0.0002741155,0.00006144131,0.0004577985,0.0001042991,0.00005375967],"category_scores_gemma":[0.0003427146,0.00006258797,0.00003709656,0.000156518,0.0001891744,0.00000972866,0.000080356,0.000166346,0.0001375258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002627134,"about_ca_system_score_gemma":0.0001460631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006885808,"about_ca_topic_score_gemma":0.00002835601,"domain_scores_codex":[0.9983661,0.0002887269,0.0001593238,0.0003124797,0.0005158854,0.0003575183],"domain_scores_gemma":[0.9988128,0.00003962042,0.00003373484,0.0006454179,0.0003106209,0.0001578332],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003142773,0.00005046292,0.0003850498,0.000009450143,0.00001752814,0.000003520483,0.00007651428,0.000001860865,0.7610672,0.001209996,0.01462446,0.2222396],"study_design_scores_gemma":[0.0002055328,0.0001786223,0.0003278021,0.000007021285,0.000002591074,0.000003387549,0.0004136874,0.00003125137,0.1933079,0.0007694793,0.8046752,0.00007760671],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8507834,0.0389801,0.01470768,0.01730385,0.001259989,0.002201737,0.0001189575,0.0001034816,0.07454082],"genre_scores_gemma":[0.9817625,0.01218174,0.001363894,0.000135608,0.0004332625,0.0001546673,0.0001339218,0.00003637688,0.003798028],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7900507,"threshold_uncertainty_score":0.2552263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1005539974810305,"score_gpt":0.3664669031724841,"score_spread":0.2659129056914535,"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."}}