{"id":"W2506204010","doi":"10.1021/bk-2000-0765.ch009","title":"Determination of Aggregation Numbers in Aqueous Solutions of Hydrophobically Modified Polymers by Fluorescent Probe Techniques","year":2000,"lang":"en","type":"book-chapter","venue":"ACS symposium series","topic":"Analytical Chemistry and Chromatography","field":"Chemistry","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Fluorescence; Aqueous solution; Polymer; Chemistry; Chemical engineering; Materials science; Polymer science; Biophysics; Polymer chemistry; Nanotechnology; Organic chemistry; Biology; Engineering; Optics; Physics","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":[0.0002489791,0.0004523042,0.0002745455,0.0006761309,0.0001658475,0.0003362242,0.0005053089,0.0004114019,0.001780375],"category_scores_gemma":[0.0003035372,0.0002593268,0.0001371337,0.0003179001,0.0002386443,0.000693855,0.0001863279,0.0008366482,0.001689881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002918371,"about_ca_system_score_gemma":0.0001248849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001683822,"about_ca_topic_score_gemma":0.0003421549,"domain_scores_codex":[0.9998441,0.00001966149,0.00001312025,0.00004228456,0.00007183044,0.000008918695],"domain_scores_gemma":[0.9998173,0.0001042683,0.000028587,0.000009594752,0.00003266728,0.000007628324],"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":[0.0000114321,0.00001416205,0.00008594542,0.0001144567,0.000002115731,0.00003267429,0.00004915083,0.0001413321,0.9792819,0.0006627077,0.0001716418,0.01943245],"study_design_scores_gemma":[0.000002714963,0.00006656655,0.0004470712,0.00002150497,0.00000745996,0.0002295391,0.00001702749,0.0009686124,0.9880813,0.0003955997,0.009755666,0.000006873106],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3727795,0.08350302,0.4946498,0.0009621009,0.0004829422,0.0003989693,0.0008584468,0.0028237,0.04354146],"genre_scores_gemma":[0.3823159,0.07392865,0.4747679,0.0007311189,0.0002313851,0.0005910285,0.001282078,0.0004241623,0.06572773],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001780375,"threshold_uncertainty_score":0.005955875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007049765298204767,"score_gpt":0.2049500985024088,"score_spread":0.1979003332042041,"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."}}