{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004452794,0.0006953189,0.0005058822,0.000596372,0.0002327658,0.0003090653,0.0004812156,0.0008574124,0.00243993],"category_scores_gemma":[0.0001779588,0.000289283,0.0005132598,0.0002874674,0.0004133819,0.0004141418,0.0004335808,0.0008589915,0.0007130325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002160747,"about_ca_system_score_gemma":0.0002758679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003694042,"about_ca_topic_score_gemma":0.0003795336,"domain_scores_codex":[0.9994519,0.00008570338,0.00004334121,0.0001339367,0.0002278079,0.00005726198],"domain_scores_gemma":[0.9999304,0.00001460611,0.00001975103,0.00001183543,0.00001297599,0.00001044431],"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":[0.00003946904,0.00007723884,0.00008120796,0.000147137,0.000008995902,0.00005587604,0.00002326975,0.00007742528,0.9922243,0.0004760274,0.000173603,0.006615411],"study_design_scores_gemma":[0.00004702555,0.0003453609,0.0006778198,0.00001697905,0.00004093896,0.0007451366,0.00001542658,0.001347049,0.9864282,0.0001680528,0.01015803,0.000009915678],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4518586,0.01155938,0.5209087,0.0008479062,0.0009645222,0.001025046,0.0004300431,0.001268659,0.01113724],"genre_scores_gemma":[0.7424284,0.01082096,0.2141625,0.0007299598,0.000216365,0.00191563,0.001180299,0.0002868389,0.02825913],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00243993,"threshold_uncertainty_score":0.00816232,"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."}}