{"id":"W2041693601","doi":"10.2174/157016005774913130","title":"Genomics and Proteomics of Nucleoside Transporters","year":2005,"lang":"en","type":"article","venue":"Current Pharmacogenomics","topic":"Biochemical and Molecular Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Nucleoside; Proteomics; Computational biology; Nucleoside analogue; Biology; Genomics; Transporter; Nucleoside transporter; Function (biology); Functional genomics; Gene; Biochemistry; Genetics; Genome","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":[0.0002571653,0.0002316614,0.0002471961,0.0003987266,0.0001871643,0.0004889915,0.0001670666,0.0004033943,0.0005150661],"category_scores_gemma":[0.0003268752,0.0001267061,0.0002623529,0.0003679275,0.000166524,0.0003912227,0.0001641083,0.0004152904,0.000451828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00038879,"about_ca_system_score_gemma":0.0002663902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001356913,"about_ca_topic_score_gemma":0.001449443,"domain_scores_codex":[0.9998758,0.00002290374,0.00000722409,0.00004021051,0.00003676078,0.00001712404],"domain_scores_gemma":[0.9998586,0.00003930144,0.00002980228,0.00001111777,0.00003607467,0.00002506805],"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":[0.00007397979,0.00001296656,0.0009769609,0.00007752616,0.00001022583,0.00009918206,0.00002746685,0.0002551163,0.9927302,0.0003787821,0.0001608746,0.005196751],"study_design_scores_gemma":[0.00002255596,0.0002399748,0.09188803,0.00002789819,0.00007616072,0.001801002,0.0002508784,0.006184449,0.8722034,0.002438144,0.02483319,0.00003435748],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.9299641,0.01207437,0.04635216,0.001953747,0.0001167393,0.00007803654,0.003396064,0.0003535605,0.005711214],"genre_scores_gemma":[0.9177456,0.01247972,0.05263751,0.0009255899,0.0001610056,0.00006582693,0.007781799,0.0001119596,0.008090835],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.001356913,"threshold_uncertainty_score":0.002820849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01685727790040006,"score_gpt":0.2999985601903102,"score_spread":0.2831412822899102,"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."}}