{"id":"W2544962555","doi":"10.11159/nddte16.107","title":"Gene Therapy for Bone Regeneration using Non-viral BMP Gene Expression Vector and in vivo Electroporation","year":2016,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Recent Advances in Nanotechnology","topic":"Tissue Engineering and Regenerative Medicine","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Electroporation; Genetic enhancement; Bone morphogenetic protein 2; In vivo; Regeneration (biology); Viral vector; Vector (molecular biology); Gene; Gene expression; Cell biology; Biology; Recombinant DNA; In vitro; Genetics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002036081,0.0001783205,0.0003631058,0.0004427937,0.00005362962,0.000005536517,0.0001110256,0.000130811,0.000006246224],"category_scores_gemma":[0.0001851885,0.0001017927,0.00003333548,0.0004269846,0.0001715128,0.0001417679,0.00003657732,0.0001686963,1.429954e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001431606,"about_ca_system_score_gemma":0.00002737519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001555336,"about_ca_topic_score_gemma":0.00002041445,"domain_scores_codex":[0.9989163,0.000008622825,0.000344627,0.0003268557,0.0001579998,0.0002456462],"domain_scores_gemma":[0.9994372,0.00004331239,0.0002233971,0.0001236819,0.0001425094,0.00002989712],"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":[0.0007067399,0.00007122042,0.00289123,0.00005028538,0.000007632647,0.000001455067,0.00002613124,0.0001050513,0.9691453,0.0008627758,0.00008105211,0.02605114],"study_design_scores_gemma":[0.003023369,0.0004028979,0.0002108474,0.0006161782,0.000009929196,0.00002025787,0.00001641837,0.0008914007,0.9834815,0.0004637472,0.01074601,0.0001174557],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9796593,0.01275849,0.0009350376,0.005197731,0.0005060823,0.0008866536,0.000004261558,0.00003689358,0.00001557069],"genre_scores_gemma":[0.9819273,0.01085134,0.00584443,0.00004118943,0.0001564036,0.00011574,0.000002136969,0.00002699728,0.001034446],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02593368,"threshold_uncertainty_score":0.4150988,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01148882630696796,"score_gpt":0.2765332042784295,"score_spread":0.2650443779714615,"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."}}