{"id":"W2101017561","doi":"10.1074/jbc.m007746200","title":"Molecular Identification and Characterization of Novel Human and Mouse Concentrative Na+-Nucleoside Cotransporter Proteins (hCNT3 and mCNT3) Broadly Selective for Purine and Pyrimidine Nucleosides (System cib)","year":2001,"lang":"en","type":"article","venue":"Journal of Biological Chemistry","topic":"Adenosine and Purinergic Signaling","field":"Biochemistry, Genetics and Molecular Biology","cited_by":334,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Cancer Institute; Medical Research Council; Wellcome Trust; Hospital for Sick Children; Fondation pour la Recherche Médicale; Natural Sciences and Engineering Research Council of Canada","keywords":"Biology; Biochemistry; Symporter; Nucleoside; Molecular biology; Uridine; RNA; Gene; Transporter","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001234489,0.0002973877,0.0001604061,0.0001799173,0.0001388457,0.0002560503,0.0001362001,0.0003396593,0.000505425],"category_scores_gemma":[0.0001402216,0.0001254286,0.0002800192,0.0001402821,0.0001452426,0.0001687708,0.0001558349,0.0003407599,0.0003781854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002973835,"about_ca_system_score_gemma":0.000203479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007021908,"about_ca_topic_score_gemma":0.0008492218,"domain_scores_codex":[0.9999248,0.000006757094,0.000006206953,0.00002768208,0.00001991688,0.00001463344],"domain_scores_gemma":[0.9999055,0.00001265863,0.00002396095,0.00001093757,0.00001393545,0.000032983],"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":[0.00005104912,0.000005969404,0.000371082,0.00001646375,0.000003409169,0.00005654018,0.00001361586,0.00001857147,0.9983559,0.00007289068,0.00002907648,0.001005345],"study_design_scores_gemma":[0.0000546433,0.0003380343,0.0680139,0.00001654991,0.00007037058,0.003953023,0.0000831746,0.002528529,0.907504,0.0002720016,0.01714825,0.00001764273],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992785,0.0016648,0.003515331,0.0001329306,0.00001581914,0.00003369617,0.001010613,0.00004484854,0.0007970064],"genre_scores_gemma":[0.9739144,0.002264985,0.01217758,0.0002319705,0.0000289743,0.00007940325,0.007354772,0.00003982979,0.003908032],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007021908,"threshold_uncertainty_score":0.002157688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01603007792055538,"score_gpt":0.2468252188415413,"score_spread":0.2307951409209859,"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."}}