{"id":"W4388570103","doi":"10.1016/j.mtcomm.2023.107548","title":"Beyond honeycombs: Core topology's role in 3D-printed sandwich panels","year":2023,"lang":"en","type":"article","venue":"Materials Today Communications","topic":"Cellular and Composite Structures","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada; Concordia University","funders":"National Research Council Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Honeycomb structure; Sandwich-structured composite; Auxetics; Composite material; Honeycomb; Sandwich panel; Core (optical fiber); Network topology; Stiffness; Specific modulus; Topology (electrical circuits); Ultimate tensile strength; Polylactic acid; 3d printed; Deformation (meteorology); Composite number; Computer science; Polymer","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":[0.0001930739,0.0001835681,0.0002208286,0.000195107,0.0003494369,0.001539769,0.0004614455,0.0006629321,0.003463187],"category_scores_gemma":[0.0005066458,0.0002381676,0.0001375907,0.0001536747,0.0007705189,0.001112357,0.0005694632,0.0005427077,0.0007410242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001416866,"about_ca_system_score_gemma":0.00009216704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001146319,"about_ca_topic_score_gemma":0.0002868866,"domain_scores_codex":[0.999903,0.00002628208,0.000002723219,0.000016802,0.00003594785,0.00001515698],"domain_scores_gemma":[0.9996707,0.0001495403,0.000021403,0.00007210334,0.00004648882,0.00003974432],"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":[0.000250704,0.00014433,0.00111245,0.0003837218,0.00002977154,0.0008901862,0.0006315279,0.04389573,0.5053292,0.3130305,0.003407897,0.1308939],"study_design_scores_gemma":[0.00007349675,0.0006319553,0.005873191,0.0002166174,0.00007128774,0.002319108,0.00108527,0.3404965,0.3701293,0.2233126,0.05564287,0.0001480021],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7142643,0.004944436,0.1591317,0.001048726,0.0006642127,0.00003880007,0.0001076884,0.001004212,0.1187958],"genre_scores_gemma":[0.9772481,0.0007112695,0.01574152,0.00008120667,0.00003268317,0.00001136335,0.00002353281,0.0000577649,0.006092448],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003463187,"threshold_uncertainty_score":0.01158547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0187230595648161,"score_gpt":0.2572619153343684,"score_spread":0.2385388557695523,"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."}}