{"id":"W4389334310","doi":"10.1007/s11440-023-02101-1","title":"An algorithm for cohesive crack propagation in variably saturated porous media via a time sub-stepping scheme","year":2023,"lang":"en","type":"article","venue":"Acta Geotechnica","topic":"Numerical methods in engineering","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Porous medium; Discretization; Fracture mechanics; Mechanics; Materials science; Solid mechanics; Consolidation (business); Geotechnical engineering; Laminar flow; Pore water pressure; Porosity; Geology; Mathematics; Mathematical analysis; Composite material; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006249038,0.0002582992,0.0003417575,0.0003077048,0.00004830454,0.00003895675,0.0003150144,0.0002800172,0.00001525333],"category_scores_gemma":[0.0005278575,0.0002844155,0.00005221872,0.001270367,0.00002884547,0.0003026112,0.00005352127,0.0003998311,0.00006179604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000189094,"about_ca_system_score_gemma":0.00002645186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001000508,"about_ca_topic_score_gemma":0.000001284128,"domain_scores_codex":[0.998439,0.00004963429,0.0004028209,0.0003515358,0.0002038052,0.0005531884],"domain_scores_gemma":[0.998859,0.0004743253,0.00005703182,0.0004220047,0.00007374509,0.0001138358],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000007387197,0.00002385219,0.000006055347,0.00007062005,0.00003228736,0.0000206706,0.0001067202,0.04337291,0.8367942,0.00002387486,0.0004146395,0.1191268],"study_design_scores_gemma":[0.0003353814,0.00005271459,0.0007648173,0.00007328041,0.00001463957,0.00001140797,0.00001428624,0.9637824,0.03294609,0.0006535776,0.0009900555,0.0003613211],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07089715,0.00009105836,0.9230251,0.0001175187,0.000505889,0.001155098,0.00004385544,0.004034334,0.0001299394],"genre_scores_gemma":[0.5662625,0.00006001322,0.4325981,0.00003680556,0.0002366731,0.0004276159,0.0001683067,0.0001862044,0.00002379603],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9204095,"threshold_uncertainty_score":0.9999608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01088768136580573,"score_gpt":0.2483488472826162,"score_spread":0.2374611659168105,"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."}}