{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005736629,0.000156505,0.0002115214,0.0001574811,0.0002141627,0.00009479802,0.0006593489,0.00005120004,0.0001928554],"category_scores_gemma":[0.0001075662,0.0001658975,0.00004221746,0.0005043627,0.00008898605,0.00005821136,0.0001282864,0.0001693923,0.000004711635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001385616,"about_ca_system_score_gemma":0.00008303668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007874312,"about_ca_topic_score_gemma":0.00001326544,"domain_scores_codex":[0.9987555,0.00002926475,0.0001881292,0.0003180502,0.000287299,0.0004218075],"domain_scores_gemma":[0.9993888,0.00009155243,0.0000317309,0.0003662397,0.00003265036,0.00008909938],"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":[0.000008036878,0.000007653365,0.000007082425,0.00001989766,0.000007796711,0.000002776214,0.000103505,0.08802418,0.9110804,0.0003526304,0.0000743069,0.0003116932],"study_design_scores_gemma":[0.0003872978,0.00004580028,0.001223069,0.00001250553,0.00002129383,0.000003150606,0.00002958384,0.06608395,0.9212949,0.0005423656,0.0100108,0.0003452582],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926709,0.00022961,0.001963088,0.0002124074,0.003202512,0.0003414059,0.0003514265,0.0006576505,0.0003710173],"genre_scores_gemma":[0.9868144,0.000001019344,0.01262781,0.00004120982,0.0001087992,0.0002658023,0.00002725655,0.00004192059,0.00007179665],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02194023,"threshold_uncertainty_score":0.6765105,"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."}}