{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001559751,0.0001869996,0.000131321,0.0001168242,0.00005194152,0.000187341,0.0001655345,0.0002548397,0.0004827482],"category_scores_gemma":[0.0002064705,0.0001106487,0.0001441073,0.00006664162,0.000156694,0.0002387205,0.0001197434,0.000214745,0.0001996728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002500501,"about_ca_system_score_gemma":0.000112811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002675961,"about_ca_topic_score_gemma":0.0005236988,"domain_scores_codex":[0.9999133,0.000009914786,0.000006220143,0.00002285603,0.00003043084,0.0000173462],"domain_scores_gemma":[0.9998747,0.00004571084,0.00004730497,0.000007126469,0.00001115978,0.00001393855],"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":[0.00001769498,0.00000560033,0.00003404833,0.00002799768,0.000002351958,0.00003139178,0.000004851788,0.0001402459,0.9986628,0.00005744668,0.00001872015,0.0009967824],"study_design_scores_gemma":[0.000006482309,0.00009594738,0.0005086936,0.00000300058,0.000005889621,0.0001096539,0.000004086104,0.001246774,0.9970217,0.00002626595,0.0009676716,0.000003619873],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9722782,0.004659325,0.02043963,0.0001303564,0.00005718203,0.00009161212,0.0003588217,0.0002280144,0.001756924],"genre_scores_gemma":[0.9861495,0.001226274,0.01077394,0.00006138277,0.00001945617,0.00004342329,0.0001618602,0.00002540023,0.00153862],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004827482,"threshold_uncertainty_score":0.001814306,"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."}}