{"id":"W4200164664","doi":"10.5194/tc-15-5623-2021","title":"A generalized stress correction scheme for the Maxwell elasto-brittle rheology: impact on the fracture angles and deformations","year":2021,"lang":"en","type":"article","venue":"The cryosphere","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Environment and Climate Change Canada","keywords":"Fracture (geology); Rheology; Geology; Mechanics; Stress (linguistics); Deformation (meteorology); Cauchy stress tensor; Brittleness; Geotechnical engineering; Geometry; Materials science; Mathematics; Mathematical analysis; Physics; Composite material","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":[0.0006409993,0.0008540998,0.0005348888,0.0003833661,0.0002553071,0.0007512065,0.0008430848,0.0007981517,0.001622697],"category_scores_gemma":[0.002009744,0.0002412956,0.0003910957,0.0004008456,0.0003877523,0.0005439353,0.0005513114,0.0007817895,0.0002800779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004679159,"about_ca_system_score_gemma":0.0006255214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003203112,"about_ca_topic_score_gemma":0.00287946,"domain_scores_codex":[0.9997929,0.00005587114,0.00001755714,0.00002757299,0.00008517495,0.0000210085],"domain_scores_gemma":[0.9991438,0.000223685,0.0001298314,0.0002236014,0.0002285658,0.00005048899],"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":[0.0001716179,0.0001689073,0.004194025,0.0001820006,0.00006368561,0.0001668264,0.0001263367,0.8201075,0.08993573,0.008977758,0.0007947263,0.0751109],"study_design_scores_gemma":[0.00001460768,0.0000358251,0.0007171381,0.00001001673,0.000003961842,0.00002573303,0.000009468466,0.9932655,0.004615106,0.0004855874,0.0008025862,0.00001447399],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.328435,0.0004823703,0.6641945,0.0003222504,0.0002477111,0.0002043881,0.0003352964,0.001372965,0.004405504],"genre_scores_gemma":[0.8466688,0.000181738,0.1502031,0.00008663352,0.00003024988,0.0001159802,0.0002323447,0.0004293193,0.002051704],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003203112,"threshold_uncertainty_score":0.006368935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009334746571515276,"score_gpt":0.2201129922611374,"score_spread":0.2107782456896221,"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."}}