{"id":"W4361804078","doi":"10.4236/jmmce.2023.112003","title":"Auxetics in Biomedical Applications: A Review","year":2023,"lang":"en","type":"review","venue":"Journal of Minerals and Materials Characterization and Engineering","topic":"Cellular and Composite Structures","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"University of Waterloo","keywords":"Auxetics; Finite element method; Materials science; Field (mathematics); Mechanical engineering; Computer science; Nanotechnology; Engineering drawing; Structural engineering; Engineering; Composite material; Mathematics; Pure mathematics","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":[0.0002084689,0.0002073173,0.0009779111,0.0002822725,0.00001151155,0.00005526051,0.00007699367,0.0001258254,0.00001307057],"category_scores_gemma":[0.00001711073,0.0001670899,0.00006129414,0.000199663,0.00001052993,0.00007154803,0.00002778242,0.0001387509,0.000001786127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001883018,"about_ca_system_score_gemma":0.00001420206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":4.8375e-7,"about_ca_topic_score_gemma":1.084828e-7,"domain_scores_codex":[0.9988816,0.00002051207,0.0007985561,0.00008926924,0.00009012622,0.0001199382],"domain_scores_gemma":[0.9996392,0.00003075779,0.0001597764,0.00007178324,0.00002097463,0.00007748094],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003177367,0.00001661429,4.184617e-7,0.2876228,0.0001830114,0.00005281097,0.00006066657,0.00002911557,0.07303373,0.0002004645,0.0002483526,0.6385489],"study_design_scores_gemma":[0.0001087304,0.00001389574,0.00001891669,0.03102937,0.0001621108,0.0002457772,0.000001240688,0.00009661142,0.00004572287,0.000004937987,0.9680824,0.000190256],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0006538365,0.99704,0.001590717,0.00001527517,0.0003620935,0.0002495743,0.00004836786,0.00003674232,0.000003343133],"genre_scores_gemma":[0.00004174378,0.9991757,0.000205024,0.00001379647,0.0003121538,0.00002821778,0.0001527607,0.00004558272,0.00002501041],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9678341,"threshold_uncertainty_score":0.681373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01635691982666404,"score_gpt":0.2578798771022948,"score_spread":0.2415229572756308,"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."}}