{"id":"W854232854","doi":"10.1063/1.4918404","title":"An accurate higher order plate theory for tailoring the properties of functionally graded porous media","year":2015,"lang":"en","type":"article","venue":"AIP conference proceedings","topic":"Composite Structure Analysis and Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Materials science; Homogenization (climate); Composite material; Porous medium; Plate theory; Toughness; Material properties; Anisotropy; Porosity; Elasticity (physics); Compatibility (geochemistry); Extensibility; Homogeneity (statistics); Material Design; Structural engineering; Finite element method; Computer science; Engineering","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":[0.000347417,0.000550268,0.0004309042,0.0005387469,0.0002200702,0.0006024661,0.0008446416,0.0007562761,0.00122656],"category_scores_gemma":[0.0006298543,0.0003418452,0.0005687315,0.0004364582,0.000665226,0.0005832896,0.0003383939,0.0007718296,0.000461539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007104574,"about_ca_system_score_gemma":0.0008137624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003132908,"about_ca_topic_score_gemma":0.003082801,"domain_scores_codex":[0.9998354,0.00003070309,0.000006375301,0.00001400454,0.00009832749,0.00001526227],"domain_scores_gemma":[0.9997813,0.00008432211,0.00002344002,0.00003825219,0.00006353492,0.000009172752],"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":[0.00001748963,0.00002714487,0.0002821808,0.0001040817,0.00001137799,0.0001170859,0.00004642086,0.9098783,0.03015977,0.04911143,0.0004921777,0.009752592],"study_design_scores_gemma":[0.000002186131,0.000009094263,0.00008264931,0.000003990715,0.000002320306,0.00001214512,0.000004877465,0.9942579,0.002309952,0.002675658,0.0006346186,0.000004594284],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02310014,0.0004523502,0.964272,0.0001389168,0.00006513486,0.00007851362,0.000157875,0.0001859539,0.01154921],"genre_scores_gemma":[0.6935679,0.002360889,0.2801055,0.0001998526,0.00009008457,0.0005662161,0.000379928,0.0002000091,0.0225295],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003132908,"threshold_uncertainty_score":0.006229341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03856643813442288,"score_gpt":0.2279268356387905,"score_spread":0.1893603975043677,"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."}}