{"id":"W1974835776","doi":"10.1016/j.msec.2014.07.007","title":"Activated carbon fibers/poly(lactic-co-glycolic) acid composite scaffolds: Preparation and characterizations","year":2014,"lang":"en","type":"article","venue":"Materials Science and Engineering C","topic":"Bone Tissue Engineering Materials","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"Shanghai Municipal Education Commission; National Natural Science Foundation of China","keywords":"PLGA; Glycolic acid; Materials science; Composite number; Biocompatibility; Fourier transform infrared spectroscopy; Chemical engineering; Adsorption; Activated carbon; Scanning electron microscope; Composite material; Lactic acid; Chemistry; Nanotechnology; Organic chemistry; Nanoparticle","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003973884,0.0004282511,0.0001412595,0.0009557856,0.0003692225,0.0002699546,0.0001808942,0.0004961546,0.001089821],"category_scores_gemma":[0.0003925391,0.0002122623,0.0001513031,0.0005660084,0.000279212,0.0003417468,0.00008782794,0.0002877662,0.0003054969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002972738,"about_ca_system_score_gemma":0.0002812312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001405155,"about_ca_topic_score_gemma":0.003878218,"domain_scores_codex":[0.9996827,0.00002108345,0.00003013276,0.00006929949,0.0001568059,0.00004000467],"domain_scores_gemma":[0.9995105,0.0001345894,0.000111175,0.00003258499,0.0001529814,0.00005811928],"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":[0.00006845433,0.00002625578,0.0001829897,0.00003259732,0.000002485417,0.00004026088,0.00002149876,0.0001461541,0.997641,0.00004556121,0.00002345471,0.001769291],"study_design_scores_gemma":[0.000007400531,0.0001123002,0.00371523,0.000004554724,0.000007296198,0.00008432249,0.00002149339,0.001236833,0.9938055,0.00003074458,0.0009667751,0.00000753641],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9838669,0.001000953,0.01155966,0.00006649999,0.00003259328,0.0001043664,0.0004340765,0.0001300372,0.002804749],"genre_scores_gemma":[0.9828441,0.0005410087,0.01399779,0.00003493073,0.0000204196,0.0001014188,0.0003533859,0.00003312422,0.002073762],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001405155,"threshold_uncertainty_score":0.003645778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005679000324531188,"score_gpt":0.2059995681970076,"score_spread":0.2003205678724764,"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."}}