{"id":"W4288739154","doi":"10.1016/j.ijsolstr.2022.111894","title":"Continualization method of lattice materials and analysis of size effects revisited based on Cosserat models","year":2022,"lang":"en","type":"article","venue":"International Journal of Solids and Structures","topic":"Nonlocal and gradient elasticity in micro/nano structures","field":"Materials Science","cited_by":31,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Lattice (music); Mathematics; Finite element method; Curvature; Moduli; Bending moment; Kinematics; Mathematical analysis; Geometry; Classical mechanics; Structural engineering; 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":[0.0007390777,0.0007150276,0.0009943841,0.001509193,0.0008616376,0.0009009904,0.002338569,0.001377762,0.003540989],"category_scores_gemma":[0.001677623,0.0004548276,0.0009335362,0.001018455,0.00153945,0.002147018,0.0008550533,0.001753596,0.0004581469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007747469,"about_ca_system_score_gemma":0.001042951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003906972,"about_ca_topic_score_gemma":0.003231226,"domain_scores_codex":[0.9997805,0.0001054134,0.000007836069,0.0000249618,0.00005818978,0.00002310968],"domain_scores_gemma":[0.9994686,0.0002349319,0.0000534312,0.00006362522,0.000121032,0.00005835571],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004399296,0.00006491491,0.0003681905,0.0001429625,0.00002481864,0.000109583,0.0001093671,0.1326697,0.004109268,0.851114,0.001658384,0.009584848],"study_design_scores_gemma":[0.000007098159,0.00001001398,0.0001161208,0.0000110623,0.000006004301,0.00002983866,0.00002270716,0.941516,0.0004854712,0.05628673,0.001498883,0.00001004738],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05209157,0.002790519,0.9219893,0.001032158,0.0003602893,0.00008974982,0.000120926,0.0001932123,0.02133233],"genre_scores_gemma":[0.6773508,0.003233203,0.2791845,0.0004402037,0.0004038334,0.0004019799,0.0002863769,0.000642783,0.03805635],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003906972,"threshold_uncertainty_score":0.01184583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008580325777547772,"score_gpt":0.2838056832934213,"score_spread":0.2752253575158736,"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."}}