{"id":"W2790568107","doi":"10.1002/adma.201706442","title":"Electroconductive Biohybrid Collagen/Pristine Graphene Composite Biomaterials with Enhanced Biological Activity","year":2018,"lang":"en","type":"article","venue":"Advanced Materials","topic":"Graphene and Nanomaterials Applications","field":"Engineering","cited_by":114,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trinity College","funders":"Advanced Materials and Bioengineering Research; Science Foundation Ireland","keywords":"Materials science; Graphene; Composite number; Nanotechnology; Composite material","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":[0.0001636848,0.0004106626,0.0001060513,0.0002230447,0.00009954114,0.0002613782,0.0001479684,0.0004197713,0.0006359229],"category_scores_gemma":[0.0001495387,0.0001423904,0.0001447577,0.0001496026,0.0001495541,0.0002709347,0.0001675323,0.0002691269,0.0001722996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001730796,"about_ca_system_score_gemma":0.0001094822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002280192,"about_ca_topic_score_gemma":0.001209768,"domain_scores_codex":[0.9999059,0.0000166139,0.000006274744,0.00001706433,0.00003428592,0.00001974324],"domain_scores_gemma":[0.9998639,0.00004112733,0.00003615476,0.00001040042,0.00002075059,0.00002774044],"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":[0.000008946407,0.000004471798,0.00002520493,0.00001532812,0.000001672291,0.00001753316,0.000003904186,0.00003555577,0.9994523,0.00002132539,0.000008734264,0.0004050195],"study_design_scores_gemma":[0.00000690376,0.00009848968,0.001782834,0.000004174281,0.00001047416,0.0001450249,0.0000190511,0.0007187153,0.9957097,0.00003159815,0.00146614,0.000007049303],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902887,0.001742442,0.005529771,0.0001111296,0.00006142751,0.00003005547,0.0001733205,0.00008479795,0.001978405],"genre_scores_gemma":[0.988058,0.000740695,0.008964061,0.00009465303,0.00001328217,0.00002918783,0.0002040903,0.00002043508,0.001875572],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006359229,"threshold_uncertainty_score":0.002127349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00957436211643692,"score_gpt":0.225863335981673,"score_spread":0.2162889738652361,"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."}}