{"id":"W2094658050","doi":"10.1021/la061699a","title":"Characterization of Superlighting Polymer−DNA Aggregates:  A Fluorescence and Light Scattering Study","year":2006,"lang":"en","type":"article","venue":"Langmuir","topic":"DNA and Nucleic Acid Chemistry","field":"Biochemistry, Genetics and Molecular Biology","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Radius of gyration; Polymer; Dynamic light scattering; Hydrodynamic radius; Fluorescence; Static light scattering; Light scattering; Scattering; Chemistry; Zeta potential; Fluorescence spectroscopy; Cationic polymerization; Analytical Chemistry (journal); Fluorescence correlation spectroscopy; Molecule; Oligonucleotide; Multiangle light scattering; Gyration; Chemical physics; DNA; Materials science; Optics; Nanotechnology; Polymer chemistry; Chromatography; Physics; Nanoparticle; Organic chemistry; Copolymer","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":[0.000333295,0.0002206912,0.0002426931,0.0002942639,0.0001914733,0.0002580591,0.0001816379,0.0002189373,0.0005797407],"category_scores_gemma":[0.0004475839,0.0001019569,0.0001489586,0.0002047779,0.0002027061,0.0002624257,0.0001567419,0.0004257829,0.0002349919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001708107,"about_ca_system_score_gemma":0.0001673613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005954519,"about_ca_topic_score_gemma":0.0004842611,"domain_scores_codex":[0.9997757,0.0000285191,0.00001230164,0.00004483331,0.0001123859,0.00002623712],"domain_scores_gemma":[0.9993516,0.0001633,0.0001316101,0.00003944729,0.0001848916,0.000129185],"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":[0.00001134137,0.000006764825,0.0001123984,0.000006380367,0.000001322505,0.00001479106,0.0000182018,0.00004448659,0.9993319,0.00002344341,0.000005000229,0.0004239724],"study_design_scores_gemma":[0.000003860719,0.00009319901,0.001644366,0.000001565379,0.00000538005,0.00009879883,0.00001582154,0.002289842,0.9954782,0.00003039997,0.0003350006,0.000003513592],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9808217,0.0003811389,0.01801459,0.00003239895,0.000004883577,0.00003030346,0.00009013985,0.00008720071,0.0005376317],"genre_scores_gemma":[0.9884084,0.00026189,0.0100705,0.00004034382,0.000006516616,0.00002761751,0.0002230426,0.00002725528,0.0009344897],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005954519,"threshold_uncertainty_score":0.001939416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003425569134440028,"score_gpt":0.1948274331628828,"score_spread":0.1914018640284428,"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."}}