{"id":"W1985340583","doi":"10.1007/s00466-015-1127-4","title":"A goal-oriented adaptive procedure for the quasi-continuum method with cluster approximation","year":2015,"lang":"en","type":"article","venue":"Computational Mechanics","topic":"Composite Material Mechanics","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Estimator; Applied mathematics; Computer science; Homogenization (climate); Iterated function; Lattice (music); Residual; Mathematical optimization; Finite element method; Algorithm; Mathematics; Statistical physics; Mathematical analysis; 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":[0.00103288,0.0004722016,0.0007264761,0.0006125193,0.0008666686,0.000798135,0.00274412,0.001168828,0.006385501],"category_scores_gemma":[0.002641988,0.0004058967,0.0006595499,0.000635003,0.0009412815,0.0007129455,0.002375728,0.001800403,0.001458834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000558555,"about_ca_system_score_gemma":0.001802047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004613412,"about_ca_topic_score_gemma":0.006452503,"domain_scores_codex":[0.9995193,0.0001600501,0.00001761553,0.00005564452,0.0002065775,0.00004070507],"domain_scores_gemma":[0.9991282,0.0003292938,0.00004168172,0.0001376114,0.0002826785,0.00008059209],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002225965,0.0002544351,0.0009101216,0.0002711699,0.0001093031,0.0001668313,0.0002003417,0.4784631,0.01507552,0.3480323,0.008342281,0.1479519],"study_design_scores_gemma":[0.00001331465,0.00001376357,0.00004946357,0.000005791175,0.000004709341,0.000009998068,0.000007077465,0.9858702,0.0005812625,0.01212184,0.001314775,0.000007741396],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001610977,0.00001739961,0.996776,0.00005926368,0.00003423768,0.00003618545,0.0000177028,0.0001584471,0.001289731],"genre_scores_gemma":[0.09131611,0.000065575,0.9028292,0.0001683907,0.00004742526,0.0003683751,0.0001314337,0.0004565737,0.004616925],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006385501,"threshold_uncertainty_score":0.02136165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01741435091955911,"score_gpt":0.2456876957270156,"score_spread":0.2282733448074565,"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."}}