{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002256104,0.00007785557,0.0001875516,0.00001125206,0.00001325564,0.000006576371,0.0002774148,0.00004586442,0.000005774938],"category_scores_gemma":[0.0001151372,0.00005292033,0.0002630111,0.00009729007,0.0002701994,0.000002610101,0.0001391572,0.000181058,6.389604e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006485261,"about_ca_system_score_gemma":0.00009211236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001950558,"about_ca_topic_score_gemma":0.000001192833,"domain_scores_codex":[0.9992005,0.00004945433,0.0002640832,0.00009304399,0.0002506549,0.000142241],"domain_scores_gemma":[0.9993502,0.00001434103,0.0003093437,0.0001665793,0.00005097449,0.000108539],"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":[0.0001136906,0.0001350209,0.00212298,0.000003221526,0.00003738641,0.00000101311,0.0002825989,0.0001723081,0.9955683,0.000004838175,0.001049713,0.0005089612],"study_design_scores_gemma":[0.001573685,0.0003087129,0.003370795,0.0000341622,0.00002962528,0.00003116003,0.003010501,0.001561823,0.9840683,0.0001096954,0.005730657,0.0001708603],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989184,0.0001136184,0.0002763588,0.0005321828,0.00003757282,0.00003920013,0.000003443532,0.000001086513,0.00007813708],"genre_scores_gemma":[0.997425,0.0001678175,0.001926662,0.0003206551,0.00007731954,6.633153e-7,0.000002241042,0.000008688043,0.0000709418],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01149994,"threshold_uncertainty_score":0.2158028,"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."}}