{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009517574,0.000228258,0.0001714576,0.000103289,0.0001144482,0.0001223439,0.0001515204,0.0002284901,0.0008605927],"category_scores_gemma":[0.0001381175,0.00007623155,0.0003054252,0.0001592856,0.0001135093,0.00009856741,0.0000920181,0.0002764092,0.0002903244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002813699,"about_ca_system_score_gemma":0.0001408397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001648208,"about_ca_topic_score_gemma":0.001195978,"domain_scores_codex":[0.9999366,0.00001157926,0.000007453576,0.00001343722,0.00001820747,0.00001262421],"domain_scores_gemma":[0.999904,0.00001965517,0.00003153811,0.000008134073,0.00001779229,0.00001881453],"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":[0.000104862,0.00000858956,0.0003323403,0.00002275148,0.000004804339,0.00009983378,0.00001443499,0.0000516072,0.9988846,0.00003335674,0.00001515396,0.0004277488],"study_design_scores_gemma":[0.00001375317,0.0001760121,0.01166762,0.0000056139,0.00002775648,0.0007387009,0.00002966682,0.001111969,0.9844275,0.00002630779,0.001769347,0.000005785237],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973387,0.0003103903,0.00147526,0.00003035428,0.000008013324,0.00001472057,0.0004805776,0.0000163002,0.0003256764],"genre_scores_gemma":[0.9953701,0.000278866,0.001925282,0.0000364189,0.000003662374,0.00001520795,0.001482786,0.00001208594,0.0008755677],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001648208,"threshold_uncertainty_score":0.003277183,"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."}}