{"id":"W2749427743","doi":"10.1080/07391102.2017.1371078","title":"DNA binding to folic acid-chitosan nanoconjugates","year":2017,"lang":"en","type":"letter","venue":"Journal of Biomolecular Structure and Dynamics","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Folic acid; Chitosan; DNA; Fourier transform infrared spectroscopy; Chemistry; Biochemistry; Medicine; Chemical engineering; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000125627,0.0004589969,0.0006192668,0.0003360488,0.0002030226,0.0001924339,0.0005423665,0.001050871,0.000001494049],"category_scores_gemma":[0.0001366983,0.000362196,0.0003748057,0.0001065214,0.0001766954,0.000009517369,0.0002192749,0.000744281,4.839077e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003262802,"about_ca_system_score_gemma":0.0001058685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005105813,"about_ca_topic_score_gemma":0.00001920008,"domain_scores_codex":[0.9982617,0.00007733383,0.0005096124,0.000448678,0.0003314577,0.0003712503],"domain_scores_gemma":[0.9981415,0.000009736861,0.0008804437,0.0006289912,0.0001897821,0.000149582],"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":[0.00004687881,0.000007567538,0.00007626035,0.00005078631,0.0003578916,0.0005141593,0.00001164787,8.036789e-7,0.9587159,0.000007567452,0.03390114,0.006309406],"study_design_scores_gemma":[0.0003178848,0.0006542286,0.00004168985,0.0001769875,0.0003252499,0.001692236,0.00001623262,0.00003154402,0.8686911,0.0003714678,0.1271005,0.0005808402],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8521995,0.002117289,0.01218367,0.1306266,0.00123905,0.0004974576,0.000792535,0.00003960067,0.0003043677],"genre_scores_gemma":[0.9193282,0.0004809818,0.01263872,0.06326544,0.003333612,0.000001559111,0.0006242968,0.0001000573,0.0002271187],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09319938,"threshold_uncertainty_score":0.999883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005044004235530377,"score_gpt":0.2580018218966276,"score_spread":0.2529578176610973,"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."}}