{"id":"W2143305213","doi":"10.1124/dmd.112.049858","title":"Transport of A1 Adenosine Receptor Agonist Tecadenoson by Human and Mouse Nucleoside Transporters: Evidence for Blood-Brain Barrier Transport by Murine Equilibrative Nucleoside Transporter 1 mENT1","year":2013,"lang":"en","type":"article","venue":"Drug Metabolism and Disposition","topic":"Adenosine and Purinergic Signaling","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute of Health Economics; University of Alberta","funders":"Canadian Institutes of Health Research; University of Illinois at Chicago","keywords":"Nucleoside; Adenosine; Nucleoside transporter; Blood–brain barrier; Agonist; Adenosine receptor; Transporter; Biology; Pharmacology; Biochemistry; In vivo; Receptor; Endocrinology; Central nervous system","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002479531,0.0004604698,0.0005560245,0.00008414646,0.0002247763,0.00004015131,0.0002035474,0.000246244,0.0001776288],"category_scores_gemma":[0.00001120454,0.0004346594,0.0002098372,0.0001167346,0.0002903301,0.0001376893,0.00001432353,0.0001498633,0.000001157543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006878553,"about_ca_system_score_gemma":0.00003377293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003969402,"about_ca_topic_score_gemma":0.00002422086,"domain_scores_codex":[0.9977489,0.00006930964,0.0007207547,0.0007685734,0.0002617817,0.0004306723],"domain_scores_gemma":[0.9990177,0.00004447785,0.0002316802,0.000298605,0.000122231,0.0002852963],"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":[0.0003769969,0.0002337513,0.00289662,0.00023102,0.0001733132,0.000002409453,0.0009782414,0.000005252381,0.9833381,0.0001665293,0.01126801,0.0003297794],"study_design_scores_gemma":[0.003112807,0.0004122545,0.01231525,0.000166846,0.0006588516,0.00001053251,0.0004093088,0.00002334023,0.9732065,0.000127279,0.008896947,0.0006600939],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9777896,0.01481317,0.003655209,0.00104124,0.00006086743,0.00102288,0.001528004,0.00003502305,0.00005393967],"genre_scores_gemma":[0.9923196,0.001381333,0.0007868006,0.0005209843,0.000196662,0.0002144704,0.003422705,0.00007742488,0.00107996],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01453,"threshold_uncertainty_score":0.9998105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008860484400436054,"score_gpt":0.2444397338983343,"score_spread":0.2355792494978983,"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."}}