{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001278393,0.0001481101,0.0001408007,0.00003946217,0.00003992808,0.00001150062,0.000197292,0.00007947343,0.00001550364],"category_scores_gemma":[0.000009799493,0.0001511387,0.000091719,0.00004463242,0.0001516309,0.000004127499,0.000106695,0.0001353741,0.000005460965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001886935,"about_ca_system_score_gemma":0.00007250615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002313584,"about_ca_topic_score_gemma":0.000002240378,"domain_scores_codex":[0.9990929,0.00002183878,0.0002446308,0.0002995145,0.00009758992,0.0002435717],"domain_scores_gemma":[0.999529,0.000004217172,0.00007090155,0.0001908133,0.00005118545,0.0001538887],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001310418,0.00009109885,0.0005108519,0.00005568073,0.0000402188,5.766445e-7,0.00004438612,0.00003471733,0.949042,0.0000473723,0.000423597,0.04957851],"study_design_scores_gemma":[0.0006954516,0.00005126431,0.000169302,0.000007427389,0.00002572698,0.000009440176,0.000009044078,0.000258142,0.845401,0.00002111118,0.1531994,0.0001526468],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923802,0.004997156,0.001836317,0.00016343,0.00008573443,0.0002928225,0.00006667621,0.000007844461,0.0001698386],"genre_scores_gemma":[0.992235,0.004365775,0.002787985,0.0001412292,0.0002759639,0.00001673944,0.0001038324,0.00002910186,0.00004439446],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1527758,"threshold_uncertainty_score":0.6163258,"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."}}