{"id":"W4309048715","doi":"10.1002/smsc.202200039","title":"Lessons from Nature for Carbon‐Based Nanoarchitected Metamaterials","year":2022,"lang":"en","type":"article","venue":"Small Science","topic":"Bone Tissue Engineering Materials","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; China Scholarship Council; Canada Foundation for Innovation","keywords":"Metamaterial; Microscale chemistry; Materials science; Carbon nanotube; Graphene; Nanotechnology; Nanoscopic scale; Ultimate tensile strength; Stiffness; Finite element method; Nanomechanics; Carbon fibers; Composite material; Structural engineering; Engineering","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":[0.0007881965,0.000312727,0.000302151,0.0004021276,0.0006728589,0.001181564,0.0005097091,0.001661842,0.002021844],"category_scores_gemma":[0.0008285448,0.0001919495,0.0002451917,0.0002156803,0.004612612,0.003223881,0.0008118795,0.003134211,0.0007265156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009513212,"about_ca_system_score_gemma":0.0005644931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003432956,"about_ca_topic_score_gemma":0.0007588411,"domain_scores_codex":[0.9997795,0.00005378325,0.000008594632,0.00004035354,0.00009890988,0.00001880787],"domain_scores_gemma":[0.9996403,0.0001887286,0.00002256191,0.00005799427,0.00005001927,0.00004037686],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003479293,0.00004147775,0.0004688855,0.0003143436,0.00001558461,0.0002436704,0.0003818349,0.004958557,0.01846306,0.9271994,0.004205611,0.04367272],"study_design_scores_gemma":[0.00001850199,0.00007664919,0.0004606629,0.0001782473,0.000008204353,0.0003549022,0.0002838658,0.005866712,0.008780477,0.850978,0.1329624,0.00003135694],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.1175227,0.1511671,0.2749156,0.1803491,0.005707941,0.00008227085,0.0002629734,0.000771168,0.2692211],"genre_scores_gemma":[0.8279356,0.05607457,0.07791872,0.0117986,0.001578786,0.000180983,0.00008281115,0.0002188454,0.02421111],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.002021844,"threshold_uncertainty_score":0.006902337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01657022332011842,"score_gpt":0.2411901656958567,"score_spread":0.2246199423757383,"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."}}