{"id":"W4367316063","doi":"10.1016/j.ijbiomac.2023.124627","title":"Green and facile synthesis of lignin/HKUST-1 as a novel hybrid biopolymer metal-organic-framework for a pH-controlled drug release system","year":2023,"lang":"en","type":"article","venue":"International Journal of Biological Macromolecules","topic":"Metal-Organic Frameworks: Synthesis and Applications","field":"Chemistry","cited_by":46,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Northern British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; University of Northern British Columbia","keywords":"Thermogravimetric analysis; Biopolymer; Drug delivery; Fourier transform infrared spectroscopy; Composite number; Metal-organic framework; Chemical engineering; Materials science; Nuclear chemistry; Drug; Chemistry; Polymer; Nanotechnology; Organic chemistry; Composite material; Medicine; Adsorption; Pharmacology","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":[],"consensus_categories":[],"category_scores_codex":[0.0006023729,0.000269092,0.000797456,0.0001959033,0.00009046142,0.00007163863,0.0007590881,0.0002057317,0.0003449124],"category_scores_gemma":[0.00290885,0.0001898543,0.0005274734,0.000188522,0.0001767894,0.00007410531,0.0001786472,0.000281538,0.00003137532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006146265,"about_ca_system_score_gemma":0.00007103504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003132449,"about_ca_topic_score_gemma":0.000001143008,"domain_scores_codex":[0.9978008,0.00006391769,0.001062717,0.000340105,0.0004609802,0.000271457],"domain_scores_gemma":[0.995815,0.002360435,0.0009591027,0.0002433554,0.0004474431,0.0001747013],"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":[0.0007065948,0.0003068807,0.0001440757,0.0001017454,0.001218864,0.00007769597,0.0000668803,0.000005844699,0.9671285,0.02174713,0.0003005154,0.008195293],"study_design_scores_gemma":[0.001767714,0.00009189331,0.00008994547,0.0006673958,0.0002728483,0.0004498556,0.0009355545,0.0006259035,0.985406,0.008243022,0.001165694,0.0002841858],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9839954,0.001018297,0.01011544,0.002855814,0.0002620182,0.0002594466,0.0006641222,0.00008369669,0.0007458139],"genre_scores_gemma":[0.9941444,0.0003511053,0.004658705,0.0001139237,0.0003557711,0.00009426795,0.0000213258,0.00003086226,0.0002296562],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01827751,"threshold_uncertainty_score":0.7742033,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01857026892770307,"score_gpt":0.2655240021428291,"score_spread":0.246953733215126,"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."}}