{"id":"W4206491356","doi":"10.1016/j.engfracmech.2021.108228","title":"Introducing fracturing through aggregates in LDPM","year":2022,"lang":"en","type":"article","venue":"Engineering Fracture Mechanics","topic":"Numerical methods in engineering","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Cracking; Aggregate (composite); Brittleness; Materials science; Structural engineering; Composite material; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005124946,0.000449889,0.0004598261,0.0002475384,0.0001130595,0.00004546669,0.0005025764,0.0001331159,0.0003242476],"category_scores_gemma":[0.000251574,0.0005348825,0.0001151646,0.0009137936,0.000006293074,0.000288257,0.000219547,0.001749874,0.00001496306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006174496,"about_ca_system_score_gemma":0.00001614159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002142105,"about_ca_topic_score_gemma":0.000001451619,"domain_scores_codex":[0.9978386,0.00005120501,0.0004779941,0.0004371769,0.0004216391,0.0007734565],"domain_scores_gemma":[0.999008,0.0002724138,0.0000515023,0.0005415083,0.00001725142,0.0001092991],"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":[0.000004458796,0.00002033008,0.00001414426,0.00009035654,0.00003409079,0.0000615727,0.0006374585,0.9840526,0.008806166,0.001297103,0.0001390297,0.004842719],"study_design_scores_gemma":[0.0003095458,0.00003922516,0.00007005041,0.00005282996,0.00001367974,0.00005710731,0.0001272353,0.8032728,0.01969128,0.001337198,0.1743901,0.0006388521],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01580755,0.004466606,0.9739509,0.0001970102,0.003375072,0.0002820344,0.00001133542,0.001654988,0.0002545188],"genre_scores_gemma":[0.8539585,0.0001391247,0.1448826,0.0001856183,0.0003821538,0.0001758116,0.00001462075,0.0002335843,0.00002802558],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8381509,"threshold_uncertainty_score":0.9997103,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005580421561531304,"score_gpt":0.2109170726248131,"score_spread":0.2053366510632818,"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."}}