{"id":"W1966403038","doi":"10.1016/j.str.2013.07.021","title":"Recommendations of the wwPDB NMR Validation Task Force","year":2013,"lang":"en","type":"article","venue":"Structure","topic":"Protein Structure and Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":173,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Biotechnology and Biological Sciences Research Council; National Institutes of Health; U.S. National Library of Medicine; National Institute of General Medical Sciences; Wellcome Trust","keywords":"Nuclear magnetic resonance spectroscopy; Task force; Computer science; Quality (philosophy); Task (project management); Chemical shift; Representation (politics); Chemistry; Nuclear magnetic resonance; Engineering; Physics; Systems engineering; Physical chemistry; Political science","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":[0.00002441352,0.00008187465,0.00006501343,0.00001299964,0.00006871726,0.00001341231,0.0001882214,0.0001144505,0.00007987796],"category_scores_gemma":[0.00004356933,0.00005450545,0.00005639746,0.00007370839,0.0000485,0.000004506101,0.00008189963,0.00007405901,0.00000257039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005729669,"about_ca_system_score_gemma":0.00003008858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002693734,"about_ca_topic_score_gemma":0.00002314615,"domain_scores_codex":[0.9995376,0.00003088976,0.0001218123,0.0001350901,0.0000735316,0.0001011019],"domain_scores_gemma":[0.9994616,0.000004216737,0.00008777984,0.0003430675,0.00007944307,0.00002387854],"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":[0.000004811714,0.000003569913,0.001326008,0.00001052563,0.00002370073,3.274779e-8,0.00004688118,0.0001323424,0.9855912,0.001244478,0.005975489,0.005640934],"study_design_scores_gemma":[0.0003518548,0.00007042829,0.01806549,0.00001287713,0.00002556302,0.00001518719,0.00008401087,0.0001565843,0.9205714,0.02938211,0.03107183,0.0001926811],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945706,0.0001014364,0.00188219,0.001034096,0.0002631647,0.0003274574,0.00009379732,0.000007310722,0.001719994],"genre_scores_gemma":[0.9969321,0.00001195327,0.001581201,0.0002579283,0.0001174429,0.000009768471,0.0001595511,0.000009207361,0.0009208148],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06501985,"threshold_uncertainty_score":0.2222668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004130499921930538,"score_gpt":0.2213394789494623,"score_spread":0.2172089790275318,"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."}}