{"id":"W2084361108","doi":"10.1074/jbc.m107169200","title":"Topology of a Human Equilibrative, Nitrobenzylthioinosine (NBMPR)-sensitive Nucleoside Transporter (hENT1) Implicated in the Cellular Uptake of Adenosine and Anti-cancer Drugs","year":2001,"lang":"en","type":"article","venue":"Journal of Biological Chemistry","topic":"Adenosine and Purinergic Signaling","field":"Biochemistry, Genetics and Molecular Biology","cited_by":140,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Medical Research Council; Canadian Institutes of Health Research; Alberta Heritage Foundation for Medical Research; Fondation pour la Recherche Médicale; British Heart Foundation; Wellcome Trust","keywords":"Adenosine; Nucleoside; Nucleoside transporter; Transporter; Chemistry; Biology; Pharmacology; Biochemistry; Gene","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003021453,0.0001770961,0.0004363735,0.00003512901,0.00003478218,0.0000063183,0.0002511095,0.0002593626,0.00009349932],"category_scores_gemma":[0.00003454897,0.0001125683,0.0001550963,0.0001424528,0.000310107,0.000007567547,0.00005213426,0.0002496215,1.329216e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008431912,"about_ca_system_score_gemma":0.00004198999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001825707,"about_ca_topic_score_gemma":8.681274e-7,"domain_scores_codex":[0.9986696,0.00007714194,0.0007048968,0.0002089964,0.0001308585,0.0002084768],"domain_scores_gemma":[0.9990755,0.00004445511,0.0004971567,0.0001619117,0.0001587543,0.00006223714],"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":[0.0002794201,0.0001953002,0.01479916,0.00003638232,0.0000735789,0.00003939981,0.0001526926,0.00001602856,0.9839441,0.00002412404,0.0003003914,0.000139485],"study_design_scores_gemma":[0.0009897379,0.0004390485,0.01909504,0.00005452771,0.00004219042,0.0001256087,0.0004821707,0.000006512545,0.9779721,0.0001442074,0.0005242492,0.0001246275],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995397,0.00351045,0.0001905987,0.000482972,0.00001811709,0.00008212112,0.00002276284,0.000002332824,0.0002935994],"genre_scores_gemma":[0.9983945,0.0009668721,0.0001385486,0.0001714544,0.0002489343,0.000002784531,0.00003572773,0.000009323051,0.00003178873],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00597196,"threshold_uncertainty_score":0.4590402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01998055073391686,"score_gpt":0.2726060321181191,"score_spread":0.2526254813842023,"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."}}