{"id":"W1970736625","doi":"10.1016/j.carbpol.2013.11.062","title":"Metal ion induced-assembly of amylose in aqueous solution","year":2013,"lang":"en","type":"article","venue":"Carbohydrate Polymers","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"Natural Science Foundation of Guangdong Province; National Natural Science Foundation of China","keywords":"Amylose; Dynamic light scattering; Metal ions in aqueous solution; Aqueous solution; Chemistry; Metal; Spectroscopy; Ion; Fluorescence spectroscopy; Chemical engineering; Inorganic chemistry; Materials science; Fluorescence; Organic chemistry; Nanotechnology; Starch; Nanoparticle","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":[0.00005200789,0.0001089323,0.0001437503,0.0001982765,0.00001996481,0.00001823569,0.00006845925,0.00008832313,0.0001713359],"category_scores_gemma":[0.00001520411,0.0001140209,0.00003981952,0.0003184689,0.00001956868,0.0003393819,0.000008274485,0.0001167908,0.00008615849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004647543,"about_ca_system_score_gemma":0.00002409379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003870377,"about_ca_topic_score_gemma":0.00008256887,"domain_scores_codex":[0.9993385,0.00002092129,0.000250045,0.0001077126,0.0001077177,0.0001751107],"domain_scores_gemma":[0.9997278,0.00002123389,0.00004256184,0.0001112021,0.00003813503,0.00005908604],"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":[0.000002695592,0.00001944489,0.00007600751,0.0000275788,0.00001495788,0.000001521578,0.0002545866,0.001506126,0.9906065,0.0001293305,0.0001882267,0.007172956],"study_design_scores_gemma":[0.000286521,0.00003330409,0.002187137,0.00002080429,0.00001285535,0.000003589999,0.0002659562,0.0489349,0.9474835,0.0001119324,0.0004528312,0.000206646],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9813868,0.0008182544,0.0002320781,0.00008168798,0.0004076773,0.0001229358,0.000001683831,0.0001145443,0.01683435],"genre_scores_gemma":[0.9995319,0.00006807169,0.00003607477,0.00003844417,0.00003250742,0.000033639,0.000008113862,0.0000182179,0.0002330508],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04742878,"threshold_uncertainty_score":0.4649636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01464921308323968,"score_gpt":0.2346429089818089,"score_spread":0.2199936958985692,"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."}}