{"id":"W2059121057","doi":"10.5539/jfr.v1n1p48","title":"Finite Element Modeling and Physical Property Estimation of Rheological Food Objects","year":2012,"lang":"en","type":"article","venue":"Journal of Food Research","topic":"Dynamics and Control of Mechanical Systems","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ritsumeikan Global Innovation Research Organization, Ritsumeikan University; Ritsumeikan University","keywords":"Rheology; Deformation (meteorology); Finite element method; Residual; Materials science; Mechanics; Constitutive equation; Nonlinear system; Computer science; Structural engineering; Composite material; Algorithm; Engineering; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001407674,0.0000675613,0.0002216818,0.0001021496,0.00003500849,0.00002213381,0.0001155559,0.00005330072,0.000003971994],"category_scores_gemma":[0.0001797635,0.00003930739,0.00006256159,0.0001074072,0.0000206663,0.0001432615,0.00004454976,0.0003581539,0.00000190359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005159264,"about_ca_system_score_gemma":0.00002289282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002333179,"about_ca_topic_score_gemma":0.00000177129,"domain_scores_codex":[0.9987534,0.00009111614,0.0003091827,0.00005209739,0.0005279839,0.0002662186],"domain_scores_gemma":[0.9994147,0.0001447777,0.00005116585,0.00007638851,0.0001721136,0.0001408146],"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":[0.0001930456,0.0004916682,0.0001930825,0.0004213554,0.0003906355,0.000005771646,0.001356701,0.8877558,0.04155423,0.01104838,0.0001032736,0.05648601],"study_design_scores_gemma":[0.0004148895,0.001357296,0.00005097005,0.00007678921,0.00000995854,0.00001365613,0.00008910138,0.994387,0.001677771,0.00184092,0.0000314376,0.00005021349],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9483961,0.0009256418,0.04992317,0.00008945462,0.0001070374,0.0001301252,0.000002246434,0.000008108368,0.0004181151],"genre_scores_gemma":[0.9990683,0.00005521511,0.0006383276,0.000002775647,0.000211405,0.000004456486,3.194297e-7,0.000009426491,0.000009787649],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1066312,"threshold_uncertainty_score":0.1602909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06410041296081058,"score_gpt":0.308633266048958,"score_spread":0.2445328530881474,"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."}}