{"id":"W3205636459","doi":"10.3390/app11199208","title":"A Multifeatured Data-Driven Homogenization for Heterogeneous Elastic Solids","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Composite Material Mechanics","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Homogenization (climate); Finite element method; Nonlinear system; Materials science; Computer science; Structural engineering; Engineering; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000284579,0.000529689,0.0005951183,0.0004510429,0.0003550321,0.0005139048,0.001216439,0.0009244045,0.00173378],"category_scores_gemma":[0.0005370572,0.0004113863,0.000837088,0.0003692241,0.0006709593,0.0007498194,0.001306968,0.0009713813,0.0003614379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007539795,"about_ca_system_score_gemma":0.0007654104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00291751,"about_ca_topic_score_gemma":0.002980877,"domain_scores_codex":[0.9998603,0.00002242226,0.000008163901,0.00003607221,0.00005790268,0.00001512977],"domain_scores_gemma":[0.9998367,0.000065574,0.0000216081,0.00002586676,0.00003427034,0.00001591604],"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":[0.0000271349,0.00004212048,0.000481967,0.0001033936,0.00003027688,0.0001082451,0.00006126256,0.9203988,0.0269701,0.01917263,0.0008224778,0.03178146],"study_design_scores_gemma":[0.00000174346,0.000005876226,0.00002394337,0.000001994459,0.000001403901,0.000008981426,0.000001765363,0.9978508,0.0008471104,0.0007556498,0.0004981632,0.000002589425],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005010983,0.00009695412,0.9933572,0.00007671546,0.00002259394,0.00003315325,0.00004608582,0.0001884873,0.001167796],"genre_scores_gemma":[0.4203948,0.0004553907,0.5721459,0.0002069411,0.0000672769,0.0003512042,0.00041687,0.0002997119,0.005661932],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00291751,"threshold_uncertainty_score":0.005801082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02871335765471052,"score_gpt":0.2510470239375607,"score_spread":0.2223336662828502,"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."}}