{"id":"W4389074948","doi":"10.1155/2023/8000727","title":"Simulation of the Compression Testing of Additively Manufactured Lattice Structures Using Inputs from Microcomputed Tomography","year":2023,"lang":"en","type":"article","venue":"Material Design & Processing Communications","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Object Research Systems (Canada)","funders":"Department of Science and Technology, Republic of South Africa; Department of Science and Innovation, South Africa","keywords":"Stiffness; Lattice (music); Finite element method; Porosity; Materials science; Computer science; Structural engineering; Mechanical engineering; Engineering; Composite material; Acoustics; Physics","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":[0.0003148096,0.0005023683,0.0002947325,0.0004072302,0.0002704508,0.0005612968,0.0006775028,0.0007812663,0.001357326],"category_scores_gemma":[0.001322132,0.0003172023,0.0003275609,0.0004420084,0.0006188111,0.0004375175,0.0003490584,0.0003599728,0.0001738822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006007723,"about_ca_system_score_gemma":0.0008832049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005234974,"about_ca_topic_score_gemma":0.004696194,"domain_scores_codex":[0.9997837,0.00003443557,0.00001138698,0.00002476172,0.0001219324,0.00002381225],"domain_scores_gemma":[0.9994996,0.0002674496,0.00006243539,0.00007033946,0.00008286496,0.00001745091],"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":[0.00003407593,0.0000370802,0.001586555,0.00004654998,0.000006998301,0.0001031392,0.00005958696,0.9818031,0.00870101,0.001591968,0.0001976861,0.00583229],"study_design_scores_gemma":[0.000002558291,0.00001464042,0.0002826368,0.000002655383,0.000001716278,0.00001765921,0.000007383863,0.9962734,0.003010695,0.000179341,0.0002038601,0.000003503612],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4605366,0.0002401863,0.5257831,0.000240871,0.0000582324,0.0002180118,0.0007950402,0.001433105,0.01069491],"genre_scores_gemma":[0.9347787,0.0001532937,0.0632359,0.00003597008,0.000004596181,0.000154855,0.000331777,0.00006010295,0.001244806],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005234974,"threshold_uncertainty_score":0.01040906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07505846097900738,"score_gpt":0.2813784993552282,"score_spread":0.2063200383762208,"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."}}