{"id":"W2034699440","doi":"10.1007/s11661-015-2774-y","title":"Optimizing the Compressive Strength of Strain-Hardenable Stretch-Formed Microtruss Architectures","year":2015,"lang":"en","type":"article","venue":"Metallurgical and Materials Transactions A","topic":"Cellular and Composite Structures","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Fabrication; Materials science; Path (computing); Material selection; Composite material; Aluminium; Structural engineering; Compressive strength; Interdependence; Mechanical engineering; Computer science; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008967391,0.0001393552,0.0002485284,0.00003680946,0.00007690581,0.00007988521,0.0001150811,0.00005628409,0.0005483133],"category_scores_gemma":[0.000002484967,0.00009483204,0.00006524824,0.00006561633,0.0001045747,0.00003891549,0.000009723083,0.0001025569,0.000001960312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008523356,"about_ca_system_score_gemma":0.0000111362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008412932,"about_ca_topic_score_gemma":0.00003255913,"domain_scores_codex":[0.9993193,0.00004331143,0.0002255583,0.0001177936,0.0001208483,0.0001731532],"domain_scores_gemma":[0.999691,0.00003374536,0.00003009066,0.0001296531,0.00002551683,0.00008996484],"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":[0.0001835344,0.0000882849,0.000001207403,0.0002932993,0.0005602551,0.00002674231,0.00302855,0.2498992,0.7333966,0.0007752652,0.00007952407,0.01166747],"study_design_scores_gemma":[0.002679667,0.0002178588,0.0006622087,0.0001080709,0.0004665927,0.0004136236,0.001651578,0.02604777,0.9451061,0.004496017,0.01739335,0.0007571558],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9523106,0.0007782353,0.04556356,0.00004514136,0.000262971,0.0001786854,0.0001699198,0.0000850568,0.0006058498],"genre_scores_gemma":[0.9981368,0.00006374081,0.001628047,0.000009750768,0.00004401025,0.00001749097,0.00001618873,0.0000153097,0.00006865926],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2238515,"threshold_uncertainty_score":0.6003646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01161476119029355,"score_gpt":0.2031053943954082,"score_spread":0.1914906332051146,"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."}}