{"id":"W2962930394","doi":"10.1021/jacs.5b04531","title":"Unexpected Swelling of Stiff DNA in a Polydisperse Crowded Environment","year":2015,"lang":"en","type":"article","venue":"Journal of the American Chemical Society","topic":"Diffusion and Search Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Division of Chemistry; Fonds de recherche du Québec – Nature et technologies; Universidad Nacional del Litoral; Agencia Nacional de Promoción Científica y Tecnológica; Consejo Nacional de Investigaciones Científicas y Técnicas; Concordia University; Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Chemistry; Dispersity; Persistence length; Polymer; DNA; Swelling; Lysis; Biophysics; Excluded volume; Macromolecular crowding; Chemical physics; Chemical engineering; Crystallography; Polymer chemistry; Biochemistry; Macromolecule; Organic chemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009897108,0.0001939019,0.0001924118,0.0001735642,0.0001770229,0.0002987712,0.000131647,0.0002048234,0.0003354078],"category_scores_gemma":[0.0002595497,0.000106094,0.0001129817,0.0001145742,0.0004103364,0.000303836,0.0003018242,0.0003572629,0.0000951653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001492817,"about_ca_system_score_gemma":0.00009649912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002910144,"about_ca_topic_score_gemma":0.0002818999,"domain_scores_codex":[0.9998984,0.00001007612,0.000003791826,0.00002881657,0.00003914135,0.00001970444],"domain_scores_gemma":[0.9997618,0.00006839754,0.00007915827,0.00001215488,0.0000260822,0.00005243731],"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":[0.00003290744,0.000003995976,0.0002305948,0.00001703376,0.000003643465,0.0000631481,0.00005002906,0.0003075115,0.9988249,0.00003972879,0.00001284834,0.00041367],"study_design_scores_gemma":[0.000009684344,0.0002194264,0.004895925,0.000006188624,0.00001050568,0.0002317286,0.00009736616,0.004187291,0.9895023,0.0001921554,0.0006309811,0.00001655562],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970973,0.0002289985,0.002155084,0.00003242464,0.000005095372,0.000009406906,0.00008079621,0.00002993691,0.0003609883],"genre_scores_gemma":[0.9978654,0.0001528599,0.001307288,0.0000394217,0.000006323776,0.00001766792,0.0001195804,0.00001508918,0.000476448],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0003354078,"threshold_uncertainty_score":0.001121998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0121764678427208,"score_gpt":0.2541440756192872,"score_spread":0.2419676077765664,"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."}}