{"id":"W4385470278","doi":"10.1016/j.conbuildmat.2023.132600","title":"Progressive highly stressed volume for size effect analysis","year":2023,"lang":"en","type":"article","venue":"Construction and Building Materials","topic":"Rock Mechanics and Modeling","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Ultimate tensile strength; Volume (thermodynamics); Materials science; Fracture (geology); Composite material; Geotechnical engineering; Geology; Thermodynamics; Physics","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":[0.0002589036,0.0004443528,0.0004187793,0.0006810887,0.0002839191,0.0003563758,0.001098567,0.0005071181,0.007005938],"category_scores_gemma":[0.001038499,0.000230771,0.0004642752,0.0003663247,0.000471233,0.0006057508,0.0005340157,0.0005778452,0.0008554461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001997387,"about_ca_system_score_gemma":0.0003972533,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001813284,"about_ca_topic_score_gemma":0.003173749,"domain_scores_codex":[0.9998827,0.00002468824,0.000003687464,0.00001377209,0.00005940276,0.00001577314],"domain_scores_gemma":[0.9997235,0.0001161031,0.00002203086,0.00005947839,0.00006218455,0.00001670307],"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":[0.000105268,0.0001551505,0.001254054,0.0001764983,0.00004635639,0.0003119865,0.0001357883,0.7203729,0.0524926,0.1696328,0.003205378,0.05211115],"study_design_scores_gemma":[0.000004309868,0.00003451578,0.0005113363,0.000007297216,0.000009051089,0.00003977351,0.00001533537,0.9830363,0.003782089,0.01049822,0.002056451,0.000005217797],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07479952,0.0002956403,0.8961203,0.00009110761,0.0000941558,0.00009388088,0.0003555279,0.0005486837,0.02760126],"genre_scores_gemma":[0.8862891,0.0003923538,0.08912653,0.0001165353,0.0001021995,0.0001908276,0.0003553711,0.0006563428,0.02277081],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007005938,"threshold_uncertainty_score":0.02343714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007145201096166303,"score_gpt":0.2340954462000727,"score_spread":0.2269502451039064,"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."}}