{"id":"W2524195946","doi":"10.1021/acsbiomaterials.6b00387","title":"Biomaterials to Facilitate Delivery of RNA Agents in Bone Regeneration and Repair","year":2016,"lang":"en","type":"article","venue":"ACS Biomaterials Science & Engineering","topic":"Bone Tissue Engineering Materials","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Institute of Musculoskeletal Health and Arthritis; Natural Sciences and Engineering Research Council of Canada; Alberta Innovates - Health Solutions","keywords":"Regeneration (biology); Small interfering RNA; RNA; microRNA; Biomaterial; RNA interference; Computational biology; Bioinformatics; Biology; Medicine; Cell biology; Biomedical engineering; Gene","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"],"consensus_categories":[],"category_scores_codex":[0.001182278,0.0003214602,0.0005012192,0.000743859,0.00004326509,0.00009924539,0.0002924656,0.0001042346,0.00004180846],"category_scores_gemma":[0.0002023734,0.0002766595,0.00003641731,0.000653896,0.0001200416,0.0006763072,0.0001696903,0.00001507421,0.00004246053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001773633,"about_ca_system_score_gemma":0.00002831477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006854437,"about_ca_topic_score_gemma":0.000006620619,"domain_scores_codex":[0.9978089,0.00002670427,0.000776191,0.0004456301,0.0003261401,0.0006164891],"domain_scores_gemma":[0.9991875,0.00005082637,0.00006311094,0.0004359081,0.00006711986,0.0001954791],"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":[0.00001115556,0.000008045857,0.00005169005,0.0001202451,0.000009958965,0.00001346665,0.0002850768,0.008764836,0.9898165,0.0002022492,0.00005405644,0.0006626722],"study_design_scores_gemma":[0.0003127497,0.00005034771,0.009379298,0.0002729921,0.000006954026,0.00001822501,0.000008854612,0.0009657708,0.9880723,0.00001712412,0.0005453617,0.0003500401],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951416,0.0002296072,0.001827529,0.00005755686,0.00161824,0.0003560765,0.0000892927,0.0006596777,0.00002043936],"genre_scores_gemma":[0.9941515,0.0001237276,0.005495328,0.00000709773,0.00008271918,0.00005828715,0.00000338875,0.00005441959,0.00002353183],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009327609,"threshold_uncertainty_score":0.9999685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02735434968704371,"score_gpt":0.2255001294763136,"score_spread":0.1981457797892699,"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."}}