{"id":"W4293525965","doi":"10.1002/adfm.202205178","title":"Nerve Growth Factor‐Binding Engineered Silk Films Promote Neuronal Attachment and Neurite Outgrowth","year":2022,"lang":"en","type":"article","venue":"Advanced Functional Materials","topic":"Silk-based biomaterials and applications","field":"Materials Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Canada Foundation for Innovation; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Dalhousie Medical Research Foundation; Beatrice Hunter Cancer Research Institute","keywords":"SILK; Neurite; Nerve growth factor; Tropomyosin receptor kinase A; Spider silk; Materials science; Cell biology; Protein kinase A; Neurotrophin; Tissue engineering; Biology; Kinase; Biochemistry; In vitro; Receptor","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":[0.00006351916,0.0002849558,0.00009057504,0.0001132013,0.000070359,0.0001664327,0.000104505,0.0001496906,0.0007943254],"category_scores_gemma":[0.00005460125,0.00008967207,0.0001165401,0.00007813003,0.0000654602,0.0001210359,0.0001167335,0.0001578099,0.0001806443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001460073,"about_ca_system_score_gemma":0.0001046932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008345907,"about_ca_topic_score_gemma":0.00211586,"domain_scores_codex":[0.9999573,0.00000478788,0.000003337453,0.00000692955,0.00001741055,0.00001024899],"domain_scores_gemma":[0.9999558,0.000009771303,0.00001207882,0.000002818588,0.000008571228,0.00001100975],"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":[0.00001024062,0.000007703392,0.00002617139,0.00001420167,0.000001374624,0.0000119801,0.000003021073,0.00002625945,0.9995707,0.00001410743,0.00001036919,0.0003037868],"study_design_scores_gemma":[0.000003916472,0.00009506894,0.001429281,0.000006011665,0.000007252545,0.00003563389,0.00001077588,0.0006691657,0.9968235,0.0000117164,0.0009057244,0.000001916981],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951402,0.00105828,0.001659098,0.00002144683,0.00001887775,0.00001233203,0.00009381476,0.00003693681,0.001959095],"genre_scores_gemma":[0.993791,0.0009273947,0.002268243,0.00001970621,0.000006015784,0.00001185721,0.0001345416,0.00001184115,0.002829271],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008345907,"threshold_uncertainty_score":0.002657294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01692557781032264,"score_gpt":0.2419401125931181,"score_spread":0.2250145347827954,"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."}}