{"id":"W2928918671","doi":"10.1117/12.2514029","title":"Numerical and experimental investigation of 3D printed origami unit cells and cores for load resistance","year":2019,"lang":"en","type":"article","venue":"","topic":"Advanced Materials and Mechanics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"3d printed; Materials science; Unit (ring theory); Load resistance; Composite material; Computer science; Engineering; Electrical engineering; Manufacturing engineering; Mathematics","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":[0.0002736849,0.0002309203,0.0001971277,0.0002651782,0.0002907673,0.0003347266,0.0003096885,0.0005353165,0.00131363],"category_scores_gemma":[0.0008752138,0.000134923,0.000224105,0.0003323358,0.0004063472,0.0003545509,0.0001898481,0.0002235135,0.0001406452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002932484,"about_ca_system_score_gemma":0.0002457441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006167405,"about_ca_topic_score_gemma":0.0008981609,"domain_scores_codex":[0.9998341,0.00001476162,0.000007146516,0.00002903772,0.00009391441,0.00002106972],"domain_scores_gemma":[0.9994294,0.0002703322,0.00008317766,0.0000806247,0.0001093606,0.0000270687],"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":[0.0001528154,0.0002436202,0.004134693,0.000297917,0.00001970047,0.0003988979,0.0003259198,0.2964703,0.6744817,0.00577799,0.0006541092,0.01704231],"study_design_scores_gemma":[0.00001536731,0.0001859767,0.003948444,0.000014981,0.0000157414,0.0001051221,0.000100716,0.8048313,0.1889513,0.0006922735,0.001109544,0.00002918588],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9751312,0.0002554927,0.01749414,0.0001005135,0.00003096548,0.00002195174,0.0002359276,0.0001177119,0.00661207],"genre_scores_gemma":[0.9874806,0.00009052094,0.01180883,0.000008979178,0.000002845276,0.00001535112,0.00006579104,0.000008012253,0.0005191779],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00131363,"threshold_uncertainty_score":0.004394531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01078000282788705,"score_gpt":0.2252309669701477,"score_spread":0.2144509641422606,"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."}}