{"id":"W4297879947","doi":"10.1002/pat.5880","title":"Conversion of low density polyethylene foams into auxetic metamaterials","year":2022,"lang":"en","type":"article","venue":"Polymers for Advanced Technologies","topic":"Cellular and Composite Structures","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Auxetics; Materials science; Low-density polyethylene; Composite material; Polyethylene; Polymer; Poisson's ratio; Ultimate tensile strength; Compression (physics); Poisson distribution","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005568723,0.000153791,0.0002705846,0.0001651545,0.0001486126,0.000007626669,0.0003102921,0.00006406548,0.00005283092],"category_scores_gemma":[0.00002540887,0.0001574031,0.0001067119,0.0001983252,0.000104382,0.00006519905,0.0002030328,0.0001131168,0.000001001177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006972433,"about_ca_system_score_gemma":0.000008811027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001852763,"about_ca_topic_score_gemma":0.000001934778,"domain_scores_codex":[0.9992536,0.00001137494,0.0001998803,0.0001744668,0.0001324053,0.0002282645],"domain_scores_gemma":[0.999558,0.00004486532,0.00005971712,0.0003004121,0.00001922818,0.00001773366],"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":[0.00006358339,0.00001010808,0.00005321054,0.0001729022,0.00004885875,0.000001991248,0.00008210309,0.003030951,0.9654385,0.0005782974,0.00003773766,0.03048172],"study_design_scores_gemma":[0.0004100388,0.0001208245,0.00003889376,0.000008092486,0.00002588772,0.000006134421,0.001055386,0.0006400349,0.9923218,0.00358739,0.001613151,0.0001724027],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9858722,0.005381447,0.006324274,0.00009479732,0.0006654582,0.0002997824,0.00005142825,0.001211373,0.0000992444],"genre_scores_gemma":[0.9959511,0.0001100418,0.003741928,0.000009641585,0.000007322086,0.000091305,0.00002660198,0.00002676906,0.00003529269],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03030932,"threshold_uncertainty_score":0.6418712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003423786659957764,"score_gpt":0.1951724663743667,"score_spread":0.1917486797144089,"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."}}