{"id":"W2811388867","doi":"10.1115/1.4040555","title":"A 149 Line Homogenization Code for Three-Dimensional Cellular Materials Written in matlab","year":2018,"lang":"en","type":"article","venue":"Journal of Engineering Materials and Technology","topic":"Cellular and Composite Structures","field":"Engineering","cited_by":230,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Homogenization (climate); Anisotropy; Scripting language; MATLAB; Computer science; Network topology; Void (composites); Topology (electrical circuits); Voxel; Materials science; Computational science; Algorithm; Composite material; Mathematics; Physics; Artificial intelligence; Optics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006311163,0.001258869,0.0006517837,0.0009127154,0.0005008446,0.0008675928,0.001847086,0.0009317389,0.07944904],"category_scores_gemma":[0.002182595,0.0006625617,0.0009139773,0.0005823041,0.0004047062,0.00079149,0.001115515,0.001482127,0.02898782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005644522,"about_ca_system_score_gemma":0.0009884146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001276688,"about_ca_topic_score_gemma":0.001307631,"domain_scores_codex":[0.9995988,0.0000470111,0.00005439774,0.0000769969,0.0001702424,0.00005251334],"domain_scores_gemma":[0.9990531,0.0003980148,0.00007901154,0.0001350386,0.0002964933,0.00003842432],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006067517,0.0003520385,0.004054201,0.002568317,0.0002171028,0.002204349,0.001089329,0.151365,0.1102665,0.06350308,0.1812948,0.4824785],"study_design_scores_gemma":[0.0002967757,0.0001379863,0.001299625,0.0003013411,0.00006317086,0.001512933,0.000105324,0.4730585,0.100488,0.02100843,0.401592,0.0001358741],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002968323,0.0001339605,0.9270498,0.00008748507,0.00009374729,0.000165718,0.00241659,0.0565629,0.01052153],"genre_scores_gemma":[0.05819196,0.0004377984,0.8693629,0.0002919571,0.00006095394,0.001576233,0.009004175,0.03155622,0.02951777],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.07944904,"threshold_uncertainty_score":0.2657835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004564052482929203,"score_gpt":0.1886858969452466,"score_spread":0.1841218444623174,"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."}}