{"id":"W2123032056","doi":"10.1093/bioinformatics/btu166","title":"relax: the analysis of biomolecular kinetics and thermodynamics using NMR relaxation dispersion data","year":2014,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Protein Structure and Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"H2020 European Research Council","keywords":"Kinetics; Dispersion (optics); Relaxation (psychology); Thermodynamics; Chemistry; Physical chemistry; Statistical physics; Materials science; Physics","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":[0.0002713125,0.000113729,0.0001493761,0.00007625595,0.0000731759,0.00002526497,0.000321652,0.0001260323,0.000001851821],"category_scores_gemma":[0.0001457548,0.00007903537,0.00005718341,0.0002710872,0.0001227993,0.00001117465,0.0003282351,0.00005650915,4.987327e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008221144,"about_ca_system_score_gemma":0.00001902693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001994059,"about_ca_topic_score_gemma":0.00003259727,"domain_scores_codex":[0.9992636,0.00003945197,0.000287597,0.0001406605,0.0001460264,0.0001226703],"domain_scores_gemma":[0.9987607,0.00001951955,0.0002381773,0.0008825753,0.00006283249,0.00003619226],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001523527,0.0001080399,0.009830957,0.0002769042,0.002190115,9.702861e-7,0.001021163,0.02114965,0.8666883,0.006075668,0.0002699142,0.09223599],"study_design_scores_gemma":[0.0001697004,0.00007846259,0.003861162,0.000008986466,0.0004993769,0.000005721562,0.0001001339,0.9901114,0.003214635,0.0001307669,0.001694764,0.0001248872],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.620046,0.000216784,0.3790933,0.00004226936,0.00003993003,0.000120076,0.00007555602,0.000005650749,0.000360495],"genre_scores_gemma":[0.9763975,0.0001741841,0.02246039,0.0001234587,0.00003413463,9.116541e-7,0.0007859929,0.00001028379,0.00001311331],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9689618,"threshold_uncertainty_score":0.3222969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01122548680950631,"score_gpt":0.2457719238644924,"score_spread":0.2345464370549861,"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."}}