{"id":"W4396894604","doi":"10.1021/acs.biomac.4c00180","title":"Directed Assembly of Elastic Fibers via Coacervate Droplet Deposition on Electrospun Templates","year":2024,"lang":"en","type":"article","venue":"Biomacromolecules","topic":"Electrospun Nanofibers in Biomedical Applications","field":"Materials Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Hospital for Sick Children; Canada Research Chairs; McGill University","funders":"Canadian Institutes of Health Research; Fonds Québécois de la Recherche sur la Nature et les Technologies; Réseau de Recherche en Santé Buccodentaire et Osseuse; Canada Research Chairs; McGill University","keywords":"Coacervate; Template; Electrospinning; Chemistry; Deposition (geology); Chemical engineering; Nanotechnology; Materials science; Chromatography; Polymer; 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":[0.0002531274,0.0005025266,0.0002333162,0.0002607912,0.0001368614,0.0002974595,0.0003408629,0.0004499927,0.0008005606],"category_scores_gemma":[0.0003476547,0.0002344206,0.0002815325,0.000209282,0.0002261308,0.0005066671,0.0003458404,0.0004484479,0.0005217385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002843048,"about_ca_system_score_gemma":0.0001674947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002321743,"about_ca_topic_score_gemma":0.0006174193,"domain_scores_codex":[0.9996927,0.00002540155,0.00002756481,0.00009999718,0.0001135534,0.00004090291],"domain_scores_gemma":[0.9997675,0.00006974191,0.00007399016,0.00003406023,0.00002742515,0.00002733001],"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":[0.000009561499,0.00001086821,0.00003118391,0.00001674799,0.000002616168,0.00003713302,0.00001087446,0.0003252358,0.9985039,0.0001168545,0.00001566103,0.0009193767],"study_design_scores_gemma":[0.000004075054,0.00002950786,0.000123344,0.000001277135,0.000001857136,0.00002586176,0.000003445798,0.002447793,0.9969311,0.00002738348,0.0004017877,0.000002544145],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9045027,0.001059783,0.08724171,0.000138002,0.00009901906,0.0002574433,0.0004365514,0.0006329654,0.005631884],"genre_scores_gemma":[0.9309108,0.0009379134,0.06436706,0.00006186563,0.00002610115,0.0001644698,0.0002662162,0.0001273623,0.003138328],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008005606,"threshold_uncertainty_score":0.002678096,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006981508851983801,"score_gpt":0.2505044860450254,"score_spread":0.2435229771930416,"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."}}