{"id":"W2158035912","doi":"10.1021/bm900097s","title":"New Insights into Chitosan−DNA Interactions Using Isothermal Titration Microcalorimetry","year":2009,"lang":"en","type":"article","venue":"Biomacromolecules","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":157,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Polytechnique Montréal","funders":"","keywords":"Chitosan; Isothermal microcalorimetry; Isothermal titration calorimetry; Chemistry; Enthalpy; Titration; Protonation; Binding constant; Stoichiometry; Analytical Chemistry (journal); Physical chemistry; Chromatography; Binding site; Organic chemistry; Thermodynamics; Ion; Biochemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005387453,0.0007496897,0.0007246154,0.0005794242,0.0001299957,0.0004369954,0.0006803456,0.0005798845,0.0009627489],"category_scores_gemma":[0.001226817,0.0003799282,0.0004972834,0.0004891514,0.0004247935,0.0006642507,0.0002974759,0.001429356,0.0003291091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005437484,"about_ca_system_score_gemma":0.0002069341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001106014,"about_ca_topic_score_gemma":0.001256136,"domain_scores_codex":[0.9994354,0.0001008905,0.00002213318,0.0001039982,0.0002892505,0.00004828677],"domain_scores_gemma":[0.9994456,0.0003420218,0.00007055218,0.00002394827,0.00009107495,0.00002679029],"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":[0.00001383962,0.000008327385,0.00007711196,0.00009127358,0.000004135498,0.00001721245,0.00002182808,0.0002132025,0.9970841,0.00008893978,0.00001975026,0.002360212],"study_design_scores_gemma":[0.0000051607,0.0001243907,0.001995597,0.00001411027,0.00001960397,0.000133452,0.0000302242,0.01117784,0.9847334,0.000183979,0.001558562,0.00002374805],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.691664,0.02338149,0.2741284,0.0008786637,0.0002520799,0.000214702,0.001506757,0.001813063,0.006160834],"genre_scores_gemma":[0.9052301,0.01165805,0.07898154,0.0003847821,0.000173874,0.0001980569,0.0004703413,0.0001153052,0.002787955],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001106014,"threshold_uncertainty_score":0.003945172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0117543634256424,"score_gpt":0.2725976966386699,"score_spread":0.2608433332130275,"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."}}