{"id":"W2018007850","doi":"10.1016/j.cemconcomp.2014.09.017","title":"Probabilistic numerical modelling of cracking in steel fibre reinforced concretes (SFRC) structures","year":2014,"lang":"en","type":"article","venue":"Cement and Concrete Composites","topic":"Numerical methods in engineering","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Cracking; Materials science; Probabilistic logic; Ultimate tensile strength; Composite material; Bridging (networking); Structural engineering; Beam (structure); Computer simulation; Shear (geology); 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002013582,0.00021739,0.0003982949,0.00009879329,0.00003463711,0.00003378413,0.0001478917,0.00007550512,0.00002134176],"category_scores_gemma":[0.00007270016,0.0002130951,0.00004632894,0.0001659235,0.00006691933,0.0001009119,0.00006388066,0.0001865645,0.000001087828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003530689,"about_ca_system_score_gemma":0.000005156117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001173119,"about_ca_topic_score_gemma":1.584905e-7,"domain_scores_codex":[0.9988984,0.00005327849,0.0004093716,0.0002008115,0.0001537616,0.0002843186],"domain_scores_gemma":[0.999176,0.0004645213,0.00005365814,0.0001909744,0.00003352637,0.00008134418],"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":[0.00001687188,5.55042e-7,0.0004922724,0.0002975397,0.00003043054,0.000001423822,0.0002364144,0.9078453,0.08220315,0.005897672,0.000009045829,0.002969322],"study_design_scores_gemma":[0.000374755,0.00008421059,0.0002122124,0.0001297265,0.00001969839,0.00000293071,0.00003583363,0.968159,0.0296431,0.0007867311,0.0003099927,0.00024183],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6003178,0.0006584015,0.3976148,0.00001322895,0.0001431944,0.0001988332,0.00000324195,0.000134238,0.0009162717],"genre_scores_gemma":[0.9421971,0.00004323816,0.05761716,0.00002464929,0.00005345601,0.00001547349,0.000007603098,0.00003118713,0.00001011683],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3418793,"threshold_uncertainty_score":0.8689768,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01764763584448424,"score_gpt":0.2247852518085848,"score_spread":0.2071376159641005,"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."}}