{"id":"W7151459809","doi":"10.5281/zenodo.19450851","title":"Modular Optimization Techniques in Structural Mechanics","year":2018,"lang":"","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Numerical methods in engineering","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Discretization; Meshfree methods; Moving least squares; Partial differential equation; Galerkin method; Method of mean weighted residuals; Interpolation (computer graphics); Weight function; Quadrature (astronomy); Boundary value problem","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0011216,0.0003718729,0.0003488672,0.0006421802,0.001133144,0.0007279271,0.001297575,0.0002492366,0.01156394],"category_scores_gemma":[0.001250553,0.0004592213,0.00007715041,0.001686485,0.0001706637,0.0005312827,0.001190846,0.0007238835,0.001638705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000637945,"about_ca_system_score_gemma":0.000003574264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001273264,"about_ca_topic_score_gemma":1.792296e-7,"domain_scores_codex":[0.9970201,0.0004601157,0.0006168446,0.0006434533,0.0004661446,0.0007933207],"domain_scores_gemma":[0.9982817,0.00003977097,0.0001117864,0.0007301623,0.00058583,0.0002507141],"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":[0.00008307758,0.00008868193,0.000001274502,0.0003511855,0.0001054149,0.00003302374,0.002074346,0.5068496,0.03504419,0.007691774,0.004020397,0.443657],"study_design_scores_gemma":[0.0003360377,0.000317882,0.00004091449,0.0001278278,0.00001915017,0.00007638946,0.000125936,0.7714131,0.007263776,0.0007084398,0.2191039,0.0004665931],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002372847,0.0002055793,0.9643761,0.0001423673,0.0006305681,0.0007205016,0.0001329781,0.002337463,0.02908158],"genre_scores_gemma":[0.8149225,0.0003765838,0.1792678,0.00006662618,0.0007205528,1.41609e-7,0.0005334329,0.00402301,0.00008932846],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8125497,"threshold_uncertainty_score":0.999786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02490061316789008,"score_gpt":0.2621711000230358,"score_spread":0.2372704868551457,"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."}}