{"id":"W1994451863","doi":"10.1042/bj20051476","title":"Cysteine-accessibility analysis of transmembrane domains 11–13 of human concentrative nucleoside transporter 3","year":2006,"lang":"en","type":"article","venue":"Biochemical Journal","topic":"Adenosine and Purinergic Signaling","field":"Biochemistry, Genetics and Molecular Biology","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Cysteine; Transporter; Nucleoside transporter; Nucleoside; Chemistry; Transmembrane domain; Transmembrane protein; Biochemistry; Computational biology; Biology; Gene; Receptor","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":[0.0001926047,0.000158925,0.0003966549,0.00008661753,0.0000534087,0.00001117311,0.000228853,0.0001618322,0.000124967],"category_scores_gemma":[0.00001240196,0.0001337804,0.0004485157,0.0002819011,0.0002048956,0.000006267934,0.00001655012,0.0001178379,2.14611e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001183597,"about_ca_system_score_gemma":0.00005338085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008125977,"about_ca_topic_score_gemma":0.00002572827,"domain_scores_codex":[0.9985876,0.00005784791,0.0006827355,0.0002389485,0.0002228266,0.0002100281],"domain_scores_gemma":[0.9992018,0.00001603623,0.0003066674,0.0002107327,0.000172071,0.00009270498],"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":[0.0001023767,0.00017615,0.03137886,0.00002800014,0.0004193671,0.000008251803,0.00005275349,0.0001505514,0.9667863,0.00007884784,0.0007963731,0.0000221446],"study_design_scores_gemma":[0.0009010565,0.0001718765,0.03294483,0.00002544098,0.0005783746,0.00001424476,0.00005667971,0.00004074672,0.9647976,0.0001166646,0.0002017055,0.0001507534],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945674,0.00134699,0.003464074,0.00004943158,0.00002938018,0.00006789533,0.00006435585,0.000004181703,0.000406269],"genre_scores_gemma":[0.9991118,0.0000373925,0.0003515017,0.00003541587,0.0002338541,0.000001659674,0.0001696672,0.00001179756,0.0000468698],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00454442,"threshold_uncertainty_score":0.5455408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007987327587868291,"score_gpt":0.2619477329284947,"score_spread":0.2539604053406264,"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."}}