{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001415158,0.0002202728,0.0001130505,0.0003279533,0.00008006762,0.0001510334,0.0001187235,0.0001402554,0.0005583208],"category_scores_gemma":[0.0002316436,0.0001014589,0.0001271286,0.0001631511,0.0001270881,0.0001493641,0.000130158,0.0001597836,0.0001372506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009011388,"about_ca_system_score_gemma":0.0000477063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000987711,"about_ca_topic_score_gemma":0.0002539338,"domain_scores_codex":[0.9999121,0.00001907268,0.000006562747,0.00001566838,0.00002949322,0.00001708618],"domain_scores_gemma":[0.9998839,0.00002331903,0.00004467153,0.00001414967,0.00002351121,0.00001045433],"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":[0.00003089232,0.000008687931,0.000116099,0.00003235431,0.000002395953,0.00004165783,0.00001519393,0.0001458719,0.9973696,0.00007103571,0.00001609358,0.002149981],"study_design_scores_gemma":[0.000002659983,0.0000822735,0.0005826683,0.000001767313,0.000003006014,0.00004020752,0.000004691454,0.0004598935,0.9981115,0.00001609861,0.0006936172,0.000001668699],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993827,0.0003766457,0.004719806,0.0000115707,0.0000117252,0.00001383964,0.00006540315,0.00004327306,0.0009306364],"genre_scores_gemma":[0.9949628,0.0001672356,0.004125054,0.000007775303,0.000003466606,0.00001005242,0.00005131495,0.00001036661,0.000661928],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005583208,"threshold_uncertainty_score":0.001867771,"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."}}