{"id":"W4377233664","doi":"10.1021/acs.biomac.2c01534","title":"Diffusion NMR and Rheology of a Model Polymer in Bacterial Cell Lysate Crowders","year":2023,"lang":"en","type":"article","venue":"Biomacromolecules","topic":"Lipid Membrane Structure and Behavior","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Lysis; Macromolecular crowding; Chemistry; Ficoll; Thermal diffusivity; Polymer; Macromolecule; Biomolecule; Rheology; Biophysics; Chemical engineering; Biochemistry; Organic chemistry; Materials science; Thermodynamics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002490648,0.0003237046,0.0002474822,0.0002263353,0.0001606568,0.0002397794,0.0001561971,0.0003159281,0.0004706326],"category_scores_gemma":[0.0005387553,0.000105774,0.0001585133,0.000168235,0.0003581197,0.0003374651,0.0002310936,0.0005256865,0.0001409543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002123307,"about_ca_system_score_gemma":0.000126254,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004759357,"about_ca_topic_score_gemma":0.000271889,"domain_scores_codex":[0.999879,0.00002781201,0.00000752072,0.00003337339,0.0000294216,0.00002283037],"domain_scores_gemma":[0.9996151,0.000120826,0.0001319115,0.0000194329,0.00005438265,0.00005838904],"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":[0.0000372321,0.000008829318,0.0001640617,0.00002244284,0.000003171935,0.00002455137,0.00003927381,0.0002028798,0.9991653,0.00003662943,0.00001195254,0.0002836531],"study_design_scores_gemma":[0.00001012547,0.0002778133,0.003977709,0.00001249575,0.00001237505,0.00008987587,0.000069495,0.006133098,0.988664,0.00006886954,0.000667518,0.00001669526],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958246,0.0005117436,0.002879205,0.00006745665,0.000008019791,0.00001417049,0.0002068797,0.00004068542,0.0004473036],"genre_scores_gemma":[0.9936671,0.0005935967,0.004265926,0.00005433423,0.00001214621,0.00003875719,0.0003985911,0.00002796684,0.0009416241],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004759357,"threshold_uncertainty_score":0.001574457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00975432334324403,"score_gpt":0.2425667849787863,"score_spread":0.2328124616355423,"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."}}