{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001867327,0.0001496446,0.0002595966,0.00002052691,0.00007274867,0.00002679916,0.00006002135,0.0001775593,0.00000268219],"category_scores_gemma":[0.00005172942,0.0001191574,0.00004490963,0.00004260195,0.0001761,0.00001557694,0.00003379833,0.0000932252,1.583622e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001048397,"about_ca_system_score_gemma":0.00001895839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002975063,"about_ca_topic_score_gemma":3.300327e-7,"domain_scores_codex":[0.9991268,0.00002220924,0.0004014268,0.0002384972,0.00007542683,0.0001356573],"domain_scores_gemma":[0.9992148,0.0000182373,0.000396881,0.000073428,0.000198735,0.00009789725],"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":[0.0002790334,0.00006732103,0.00800691,0.0001292165,0.0000757729,0.000006019466,0.00005959287,0.000003191404,0.991163,0.00003433687,0.00000820572,0.0001673846],"study_design_scores_gemma":[0.001211654,0.000418617,0.01837953,0.00006427061,0.00005218598,0.0002402243,0.0001481247,0.00009043326,0.9791149,0.00002279689,0.0001225005,0.0001347068],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944949,0.001024878,0.004101018,0.00008074513,0.0000112822,0.0002154301,0.00004646208,0.000004878582,0.00002042168],"genre_scores_gemma":[0.998826,0.0004968388,0.000408836,0.00003455549,0.0001078103,0.000009022464,0.00007157627,0.00001094635,0.00003440649],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01204806,"threshold_uncertainty_score":0.48591,"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."}}