{"id":"W4292553276","doi":"10.3390/polym14163418","title":"Cluster Size of Amylopectin and Nanosized Amylopectin Fragments Characterized by Pyrene Excimer Formation","year":2022,"lang":"en","type":"article","venue":"Polymers","topic":"Food composition and properties","field":"Nursing","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Amylopectin; Pyrene; Chemistry; Excimer; Fluorescence; Amylose; Crystallography; Polysaccharide; Chemical engineering; Materials science; Starch; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001020597,0.0001240641,0.0001310847,0.0001267553,0.00009451019,0.0001677471,0.0001357659,0.0001802895,0.0005957005],"category_scores_gemma":[0.0002949895,0.0001092408,0.0001106381,0.0001057235,0.0001842197,0.0002000657,0.0001089627,0.0002166913,0.00009123141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003458526,"about_ca_system_score_gemma":0.00008591483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009093756,"about_ca_topic_score_gemma":0.0005480946,"domain_scores_codex":[0.9999284,0.000004526488,0.000003778983,0.00003108484,0.00002014408,0.00001207988],"domain_scores_gemma":[0.9998463,0.0000541054,0.00003563008,0.00001084039,0.0000258626,0.00002713519],"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":[0.00004978975,0.000003869239,0.0002432457,0.000008780145,0.000002302949,0.000008235481,0.00001704875,0.0002027753,0.9990156,0.00004684765,0.000008339475,0.000393159],"study_design_scores_gemma":[0.000004467708,0.00008509312,0.005203152,0.000002080981,0.000006544379,0.00003082842,0.00001914849,0.003236781,0.9911408,0.00002387239,0.0002429563,0.000004328884],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985784,0.00008010949,0.001029223,0.000008858847,0.000001629717,0.000005051842,0.0000664136,0.0000114405,0.0002187603],"genre_scores_gemma":[0.9974191,0.00006695741,0.001721016,0.000006368027,0.000001290992,0.00001849895,0.0002229301,0.00001014605,0.0005336042],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009093756,"threshold_uncertainty_score":0.002509356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009652178211008455,"score_gpt":0.2248922210418057,"score_spread":0.2152400428307972,"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."}}