{"id":"W3083047691","doi":"10.1002/pssb.202000440","title":"Numerical Analysis of Binding Yarn Float Length for 3D Auxetic Structures","year":2020,"lang":"en","type":"article","venue":"physica status solidi (b)","topic":"Cellular and Composite Structures","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Auxetics; Materials science; Composite material; Poisson's ratio; Yarn; Workbench; Poisson distribution; Float (project management); Modulus; Structural engineering; Mechanical engineering; Mathematics; Engineering","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":[0.00001947175,0.0002061051,0.0004819966,0.0001116501,0.00006222094,0.00002943226,0.0001651673,0.00004656279,0.00006239693],"category_scores_gemma":[0.00001694454,0.0001982862,0.0003195221,0.000696399,0.00003304673,0.00006314843,0.00003123111,0.0001323815,0.000005329885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003113451,"about_ca_system_score_gemma":0.00001689697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002532862,"about_ca_topic_score_gemma":0.000002719316,"domain_scores_codex":[0.9989502,0.00001902916,0.0002352699,0.000235196,0.0001844597,0.000375796],"domain_scores_gemma":[0.999464,0.0000810374,0.00005250495,0.0002071804,0.00004026415,0.000155031],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001329855,0.00005052532,0.001265327,0.000507467,0.004295949,0.000005261763,0.005377234,0.5745987,0.3959764,0.00303312,0.001913542,0.01284346],"study_design_scores_gemma":[0.0005152974,0.0001242333,0.003095571,0.00000720938,0.001429874,5.931319e-7,0.0001479121,0.8811478,0.1063899,0.0006544575,0.006041163,0.0004459342],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9208902,0.0005570523,0.07566141,0.00009460626,0.0002621465,0.0003353195,0.0003802095,0.0003371071,0.001482021],"genre_scores_gemma":[0.9966809,0.00002522828,0.002871871,0.00004367761,0.0001844614,0.00001185379,0.000134065,0.00004094765,0.000007044912],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3065491,"threshold_uncertainty_score":0.8085878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01367085799674241,"score_gpt":0.2345151517454851,"score_spread":0.2208442937487426,"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."}}