{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005627976,0.0005885314,0.0004084475,0.0008077629,0.0003171013,0.0007818599,0.0003255665,0.0008679806,0.001676491],"category_scores_gemma":[0.0005467985,0.0003047789,0.0004663208,0.000393861,0.0003046644,0.0006285913,0.0004229889,0.0005712427,0.001357648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003601244,"about_ca_system_score_gemma":0.000432866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002598146,"about_ca_topic_score_gemma":0.0007035063,"domain_scores_codex":[0.9997697,0.00005192616,0.00002455526,0.00003251251,0.00009702619,0.00002422146],"domain_scores_gemma":[0.9998203,0.00007048291,0.00005398112,0.00001102696,0.00003206142,0.00001219526],"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":[0.00007287794,0.00009088803,0.0002105668,0.001896372,0.00003163243,0.0005613214,0.0001237672,0.0006417637,0.9180362,0.008669765,0.001186413,0.06847845],"study_design_scores_gemma":[0.00002395526,0.0005818838,0.001594026,0.0003053744,0.0001005548,0.001703455,0.0001023031,0.001606227,0.8307283,0.001600988,0.161608,0.00004498823],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.2909754,0.5111041,0.1406407,0.003791921,0.003542693,0.0008445393,0.0004794882,0.001121413,0.04749975],"genre_scores_gemma":[0.5533553,0.2277038,0.1697425,0.001905454,0.0006120906,0.0006420058,0.0004090442,0.0002881179,0.0453416],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001676491,"threshold_uncertainty_score":0.005608439,"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."}}