{"id":"W2018731563","doi":"10.1016/j.probengmech.2005.10.007","title":"Particle modeling of random crack patterns in epoxy plates","year":2005,"lang":"en","type":"article","venue":"Probabilistic Engineering Mechanics","topic":"Numerical methods in engineering","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Canada Research Chairs","keywords":"Microscale chemistry; Epoxy; Materials science; Composite material; Stiffness; Brittleness; Ultimate tensile strength; Particle (ecology); Structural engineering; Fracture mechanics; Range (aeronautics); Mechanics; Mathematics; Physics; Engineering; Geology","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":[0.0004472881,0.0004132836,0.0005782,0.0006048417,0.00040353,0.0007489842,0.0009403044,0.001551662,0.0008920532],"category_scores_gemma":[0.001696086,0.000667351,0.0004642566,0.0003497299,0.0009040087,0.0008674907,0.0005379187,0.0006124209,0.0001566286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004318542,"about_ca_system_score_gemma":0.0003656247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004229229,"about_ca_topic_score_gemma":0.002798708,"domain_scores_codex":[0.9998234,0.00004922905,0.000008333905,0.00003244642,0.00005662836,0.00003004743],"domain_scores_gemma":[0.9991695,0.0004386377,0.0001056307,0.00009430382,0.0001192388,0.00007273861],"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":[0.00004026626,0.00002020862,0.0008680375,0.00001784514,0.00001419769,0.0001104539,0.0000470991,0.986017,0.002147351,0.008212311,0.0002159133,0.002289251],"study_design_scores_gemma":[0.000003120955,0.000002977116,0.0001406733,8.56762e-7,0.000001445264,0.000007575193,0.0000039569,0.9987653,0.000181553,0.0008552519,0.00003471291,0.00000249921],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4187836,0.0003790524,0.5749873,0.000389843,0.0001039813,0.00004599708,0.00009737016,0.0003153899,0.004897373],"genre_scores_gemma":[0.9817964,0.0001395946,0.01604568,0.00002786338,0.00002033428,0.00002169978,0.00004675005,0.00005097691,0.001850656],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004229229,"threshold_uncertainty_score":0.008409202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01495744730750636,"score_gpt":0.2258122708214738,"score_spread":0.2108548235139674,"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."}}