{"id":"W2330420417","doi":"10.1016/j.addr.2016.03.007","title":"Graphene-based materials for tissue engineering","year":2016,"lang":"en","type":"review","venue":"Advanced Drug Delivery Reviews","topic":"Graphene and Nanomaterials Applications","field":"Engineering","cited_by":711,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institute of Arthritis and Musculoskeletal and Skin Diseases; National Institute of Dental and Craniofacial Research; Office of Naval Research; National Heart, Lung, and Blood Institute; National Institutes of Health; National Science Foundation","keywords":"Graphene; Nanotechnology; Bioelectronics; Tissue engineering; Biocompatibility; Materials science; Regenerative medicine; Nanomaterials; Drug delivery; Biomedical engineering; Medicine; Biosensor; Chemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02324413496114656,"score_gpt":0.2835331359897027,"score_spread":0.2602890010285561,"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."},"direct_labels":[],"classifier":{"requested":true,"available":true,"version":"metacan-v1-d91a1de5be90","frame_rows_covered":4299418,"decision_targets":["metaresearch","metaepi_narrow","metaepi_broad","bibliometrics","sts","scholarly_communication","open_science","research_integrity","randomized_trial","nonrandomized_trial","observational","systematic_review","meta_analysis","case_report","qualitative","simulation_or_modeling","bench_or_experimental","theoretical_or_conceptual","not_applicable"],"score_encoding":"uint16_le_65535","score_resolution":0.000015259021896696422,"interpretation":"Scores imitate each teacher on the enriched screening sample; they are not calibrated prevalence probabilities for the full frame.","warning":null},"prediction":{"classifier_version":"metacan-v1-d91a1de5be90","candidate_union":["bench_or_experimental","not_applicable"],"consensus_intersection":[],"score_encoding":"uint16_le_65535","score_resolution":0.000015259021896696422,"scores":{"codex":{"metaresearch":0.0004272526131074998,"metaepi_narrow":0.00012207217517357137,"metaepi_broad":0.00024414435034714275,"bibliometrics":0.00018310826276035706,"sts":0,"scholarly_communication":0.000030518043793392844,"open_science":0.000015259021896696422,"research_integrity":0.00007629510948348211,"randomized_trial":0.000015259021896696422,"nonrandomized_trial":0.000015259021896696422,"observational":0,"systematic_review":0.0277103837644007,"meta_analysis":0.00010681315327687495,"case_report":0,"qualitative":0,"simulation_or_modeling":0.0033112077515831235,"bench_or_experimental":0.043305104142824444,"theoretical_or_conceptual":0.0015259021896696422,"not_applicable":0.016556038757915618,"design_other":0.5682154573891813},"gemma":{"metaresearch":0.00024414435034714275,"metaepi_narrow":0.000030518043793392844,"metaepi_broad":0.0003509575036240177,"bibliometrics":0.00015259021896696422,"sts":0.000015259021896696422,"scholarly_communication":0.000045777065690089265,"open_science":0.000015259021896696422,"research_integrity":0.00010681315327687495,"randomized_trial":0.000015259021896696422,"nonrandomized_trial":0.000030518043793392844,"observational":0,"systematic_review":0.020950637064164186,"meta_analysis":0.00009155413138017853,"case_report":0,"qualitative":0,"simulation_or_modeling":0.0002746623941405356,"bench_or_experimental":0.1160143434805829,"theoretical_or_conceptual":0.00032043945983062486,"not_applicable":0.9917296101319906}},"interpretation":"Scores imitate each teacher on the enriched screening sample; they are not calibrated prevalence probabilities for the full frame."}}