{"id":"W4200538481","doi":"10.21203/rs.3.rs-1184379/v1","title":"Multi-Wavelength Analytical Ultracentrifugation of Biopolymer Mixtures and Interactions","year":2021,"lang":"en","type":"preprint","venue":"Research Square","topic":"Protein purification and stability","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; University of Lethbridge","funders":"National Institutes of Health; University of Alberta; University of Montana; National Science Foundation","keywords":"Biopolymer; Analytical Ultracentrifugation; Wavelength; Ultracentrifuge; Polymer science; Chromatography; Chemistry; Nanotechnology; Materials science; Polymer; Optoelectronics; Organic chemistry","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":[0.0006210426,0.0001285083,0.0001828797,0.0001225274,0.00008856417,0.00006204067,0.0001649148,0.0002832282,0.0001061374],"category_scores_gemma":[0.001124648,0.0001233321,0.000112632,0.0001382666,0.0002746846,0.000003624035,0.0004309365,0.0005574098,0.000002527728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003060287,"about_ca_system_score_gemma":0.0002932165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001122181,"about_ca_topic_score_gemma":0.00007832053,"domain_scores_codex":[0.9982482,0.0004303025,0.0002690709,0.0005195985,0.0003123723,0.0002204501],"domain_scores_gemma":[0.9984328,0.00006333187,0.00007882295,0.0006037317,0.0007003279,0.0001210422],"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":[0.0002326569,0.001046623,0.01569455,0.00141771,0.0002864235,0.00000785004,0.0005847119,0.00003556708,0.9559317,0.0004493721,0.0006062969,0.02370651],"study_design_scores_gemma":[0.0007620329,0.0002033562,0.07689776,0.0003434406,0.00003748101,0.00001305101,0.001610721,0.005637991,0.9016544,0.0001527945,0.01228889,0.0003981143],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9883212,0.006659948,0.002856347,0.0007255518,0.0001220301,0.0006623786,0.0001850109,0.00001113164,0.0004563761],"genre_scores_gemma":[0.9959402,0.00146362,0.001313,0.00001268044,0.00009464632,0.00006545494,0.0006388685,0.00001324305,0.0004582613],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0612032,"threshold_uncertainty_score":0.5029337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06405244413088769,"score_gpt":0.4108550609785474,"score_spread":0.3468026168476597,"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."}}