{"id":"W4380153196","doi":"10.1080/19420862.2023.2218951","title":"Affinity-controlled capture and release of engineered monoclonal antibodies by macroporous dextran hydrogels using coiled-coil interactions","year":2023,"lang":"en","type":"article","venue":"mAbs","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Polytechnique Montréal; National Research Council Canada","funders":"Fonds de recherche du Québec – Nature et technologies; European Research Council; Natural Sciences and Engineering Research Council of Canada; Xunta de Galicia; Agencia Estatal de Investigación; Canada First Research Excellence Fund; Canada Research Chairs; Polytechnique Montréal","keywords":"Monoclonal antibody; Self-healing hydrogels; Chemistry; Dextran; Peptide; Antibody; Biophysics; Trastuzumab; Ligand (biochemistry); Biochemistry; Receptor; Polymer chemistry; Biology; Immunology","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":[0.0001420304,0.0002771468,0.0001545375,0.0001177648,0.00006564943,0.0002252651,0.0001065133,0.0001929799,0.0002974263],"category_scores_gemma":[0.0001544519,0.00009437735,0.0001129165,0.00008759058,0.0001505706,0.000178835,0.000156478,0.0002596058,0.0001362036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002071925,"about_ca_system_score_gemma":0.0001431408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000289052,"about_ca_topic_score_gemma":0.0007400595,"domain_scores_codex":[0.9998825,0.00001417437,0.000009190879,0.00002611734,0.00003830676,0.00002974972],"domain_scores_gemma":[0.9998882,0.00003176424,0.000041429,0.000007986331,0.0000112196,0.00001942654],"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":[0.00001021482,0.00000447578,0.00003647861,0.00001270172,0.000001211141,0.00001270471,0.000006021684,0.00006354688,0.9991859,0.00001893018,0.000006593814,0.0006413144],"study_design_scores_gemma":[0.000002293736,0.00004344138,0.0004668901,0.000001463411,0.000002852028,0.00003588376,0.000003618657,0.0004733716,0.9985361,0.000005965189,0.000426092,0.000002083836],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9865735,0.001248902,0.01120709,0.00004346343,0.00001443571,0.00003324131,0.0001017274,0.00006921361,0.0007085307],"genre_scores_gemma":[0.9892322,0.0008148818,0.008808751,0.00004634085,0.000008751869,0.00003294242,0.000101214,0.00002039753,0.0009345429],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0002974263,"threshold_uncertainty_score":0.001503229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01732146013533491,"score_gpt":0.2752813047295818,"score_spread":0.2579598445942469,"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."}}