{"id":"W2256283611","doi":"10.1038/ncomms8996","title":"The molecular mechanism of Zinc acquisition by the neisserial outer-membrane transporter ZnuD","year":2015,"lang":"en","type":"article","venue":"Nature Communications","topic":"Trace Elements in Health","field":"Nursing","cited_by":70,"is_retracted":false,"has_abstract":true,"ca_institutions":"Structural Genomics Consortium; Hospital for Sick Children; Canada Research Chairs; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Canadian Light Source; Ministère de l’Éducation, Gouvernement de l’Ontario; Compute Canada; McGill University","keywords":"Mechanism (biology); Transporter; Bacterial outer membrane; Zinc; Chemistry; ATP-binding cassette transporter; Cell biology; Computational biology; Biochemistry; Biophysics; Biology; Gene; Physics; Escherichia coli","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":[0.0007640478,0.0001205125,0.0001311937,0.00003173103,0.000458627,0.00004143363,0.001585525,0.0002100758,0.00001049488],"category_scores_gemma":[0.00008903865,0.00007944625,0.00007225894,0.0002202743,0.000177206,0.000103802,0.00009418699,0.0008077963,0.000009423547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008563847,"about_ca_system_score_gemma":0.00004945966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000080103,"about_ca_topic_score_gemma":0.0003843538,"domain_scores_codex":[0.9985878,0.0004022902,0.0003446072,0.0001366667,0.0003155039,0.0002130957],"domain_scores_gemma":[0.9969419,0.0003330277,0.0001912639,0.002274118,0.0001914498,0.00006822779],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009211831,0.001146054,0.000671613,0.00008209358,0.000307247,0.000002898238,0.01090345,0.00008443966,0.1870921,0.6761203,0.09912752,0.02354103],"study_design_scores_gemma":[0.003393885,0.0005175269,0.002900815,0.0001276006,0.0003713243,0.0000353972,0.002701623,0.001480239,0.1406722,0.02705893,0.8201793,0.0005610802],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.4330944,0.04890091,0.004641027,0.4887353,0.008562717,0.004213123,0.0006118374,0.0004811589,0.01075956],"genre_scores_gemma":[0.9957216,0.0001352065,0.002017069,0.001763384,0.00006624928,0.00005500548,0.0001549825,0.00002577096,0.00006075171],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7210519,"threshold_uncertainty_score":0.3527434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02287102772014317,"score_gpt":0.3261450914869974,"score_spread":0.3032740637668543,"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."}}