{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000352701,0.0003275808,0.0003583662,0.0001201194,0.0007399663,0.0002099545,0.0002561972,0.00005759736,0.006594899],"category_scores_gemma":[0.00005402567,0.0003165757,0.00006539683,0.00020366,0.00008729741,0.0003421384,0.0003498395,0.0001012762,0.0001231925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009131464,"about_ca_system_score_gemma":0.0000561405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003798688,"about_ca_topic_score_gemma":8.149767e-7,"domain_scores_codex":[0.9975895,0.0001622378,0.0005412386,0.0007097592,0.0005254943,0.0004717127],"domain_scores_gemma":[0.9991056,0.0001133331,0.0002496136,0.000295142,0.00008178243,0.0001544702],"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":[0.0001999864,0.00009894674,0.0001856414,0.00004573351,0.00001242979,0.000009011805,0.00005136581,0.000423251,0.9962639,0.002271287,0.0003478871,0.00009060433],"study_design_scores_gemma":[0.0008487278,0.0002406724,0.01414377,0.00001310331,0.00002350757,0.00006476979,0.00005884094,0.00002868371,0.9813949,0.0007279044,0.00208058,0.0003745059],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933349,0.00006280174,0.0003045825,0.0004758837,0.002569668,0.0005946032,0.002344218,0.0002568331,0.0000564903],"genre_scores_gemma":[0.996265,0.00001196829,0.001672582,0.0002791992,0.0002629313,0.0007168892,0.0004692472,0.00005272809,0.000269461],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01486893,"threshold_uncertainty_score":0.9999287,"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."}}