{"id":"W4323832771","doi":"10.1021/acsbiomedchemau.3c00001","title":"Template-Based Porous Hydrogel Microparticles as Carriers for Therapeutic Proteins","year":2023,"lang":"en","type":"article","venue":"ACS Bio & Med Chem Au","topic":"Hydrogels: synthesis, properties, applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Fonds de Recherche du Québec - Santé; Natural Sciences and Engineering Research Council of Canada","keywords":"Bovine serum albumin; Template; Ethylene glycol; Self-healing hydrogels; Chemistry; Porosity; Nanotechnology; Controlled release; Surface charge; Drug delivery; Chemical engineering; Materials science; Biophysics; Chromatography; Polymer chemistry; Organic chemistry","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":[0.0002750107,0.0002366901,0.0001965695,0.00006165385,0.0002318602,0.00003259088,0.000365201,0.000220902,0.00001525613],"category_scores_gemma":[0.0001331743,0.0002165477,0.0001296639,0.0002377866,0.0001834586,0.000004827074,0.00007541033,0.0000757458,0.0001544488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005883806,"about_ca_system_score_gemma":0.0003461046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001392692,"about_ca_topic_score_gemma":0.0000940219,"domain_scores_codex":[0.9984745,0.00003394215,0.0002756041,0.0005095577,0.0001596464,0.0005467415],"domain_scores_gemma":[0.9989712,0.00003138636,0.0000994918,0.0006536635,0.00008906262,0.0001552084],"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":[0.00008520813,0.00006307301,0.0004649814,0.00003794228,0.0001033186,0.000001777986,0.0001328362,0.00003973746,0.9941595,0.00003574215,0.001444891,0.003430963],"study_design_scores_gemma":[0.0005482068,0.0001560626,0.0001107065,0.00001267243,0.00005192633,0.000005880589,0.0001237541,0.0001625625,0.926756,0.0003793478,0.07142451,0.0002683739],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955665,0.0004199717,0.0005229456,0.002016206,0.00008445852,0.0009776885,0.00006800154,0.000127297,0.0002169091],"genre_scores_gemma":[0.9961367,0.00004263842,0.0004507749,0.0006756972,0.0002597967,0.001247819,0.0002645867,0.00007788859,0.0008440512],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06997962,"threshold_uncertainty_score":0.8830557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02480557126505875,"score_gpt":0.2655457409835462,"score_spread":0.2407401697184875,"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."}}