{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003980564,0.001527083,0.002984759,0.009770313,0.0008568831,0.005058558,0.00339614,0.001596129,0.008846177],"category_scores_gemma":[0.006975257,0.0008134747,0.00126907,0.01145925,0.0005883536,0.006278854,0.002910891,0.002632993,0.01394684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001650561,"about_ca_system_score_gemma":0.004601194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00551763,"about_ca_topic_score_gemma":0.003411519,"domain_scores_codex":[0.9977393,0.0002895568,0.0004910777,0.0005506385,0.0007780608,0.0001512577],"domain_scores_gemma":[0.9959181,0.0007886192,0.0004616775,0.0006007419,0.001586008,0.00064481],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006700768,0.0002130646,0.002543799,0.00675357,0.0002477202,0.0002350971,0.0001753555,0.0009725596,0.01392662,0.008758272,0.2600698,0.705434],"study_design_scores_gemma":[0.0000698362,0.00008377747,0.002320333,0.0007828593,0.0002067533,0.0005606166,0.00007192259,0.002398233,0.004366993,0.003226543,0.9858239,0.00008829841],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.03123277,0.4831978,0.1232242,0.01309737,0.004116427,0.0009601121,0.2687707,0.03717482,0.03822587],"genre_scores_gemma":[0.02048684,0.1474983,0.1370529,0.00221189,0.00127254,0.0005070942,0.6775775,0.00257057,0.0108223],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.009770313,"threshold_uncertainty_score":0.02959335,"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."}}