{"id":"W1981376898","doi":"10.1016/s0144-8617(03)00139-5","title":"Determination of the molecular weight of barley β-glucan using intrinsic viscosity measurements","year":2003,"lang":"en","type":"article","venue":"Carbohydrate Polymers","topic":"Polysaccharides Composition and Applications","field":"Agricultural and Biological Sciences","cited_by":49,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Intrinsic viscosity; Viscosity; Chemistry; Dilution; Polysaccharide; Glucan; Chromatography; Extrapolation; Analytical Chemistry (journal); Beta-glucan; Reduced viscosity; Relative viscosity; Polymer; Materials science; Thermodynamics; Organic chemistry; Composite material; Mathematics","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":[0.00009133481,0.00007590077,0.0001023386,0.00001868058,0.00009663308,0.000008798512,0.0001678282,0.0000377303,0.00006707176],"category_scores_gemma":[0.0000170446,0.00003140217,0.00008184748,0.000551055,0.00007955888,0.00004500205,0.00002723224,0.00004342075,0.000001092898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002446945,"about_ca_system_score_gemma":0.00001768938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001414195,"about_ca_topic_score_gemma":0.00002521498,"domain_scores_codex":[0.9993234,0.00008285886,0.0001806104,0.0001203952,0.0001765229,0.000116181],"domain_scores_gemma":[0.9996413,0.00001747263,0.0001474099,0.00007953167,0.00006861171,0.0000456621],"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":[0.0000019708,0.00003269858,0.003196745,0.00000242493,0.000006360784,1.255636e-7,0.00001929279,0.00000766753,0.9916292,0.001157392,0.000001557524,0.003944564],"study_design_scores_gemma":[0.00006540818,0.00001621157,0.007974855,0.00001862274,0.0000249705,0.000001205367,0.00003255008,0.0001800181,0.9912469,0.0002761414,0.0000953821,0.00006768095],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983002,0.0001761195,0.00009294639,0.0001646391,0.00009153691,0.0001335409,0.00001266258,0.000009034019,0.00101933],"genre_scores_gemma":[0.9997506,0.000004102963,0.0001309483,0.00007642363,0.00001197108,0.000005409893,0.000003087571,8.096933e-7,0.00001664752],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004778109,"threshold_uncertainty_score":0.1280543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02850288212618272,"score_gpt":0.2361692761788176,"score_spread":0.2076663940526349,"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."}}