{"id":"W2233082033","doi":"10.5194/tc-10-1339-2016","title":"A Maxwell elasto-brittle rheology for sea ice modelling","year":2016,"lang":"en","type":"article","venue":"˜The œcryosphere","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":153,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fonds Québécois de la Recherche sur la Nature et les Technologies; Association Nationale de la Recherche et de la Technologie","keywords":"Rheology; Mechanics; Elastic modulus; Viscosity; Deformation (meteorology); Stress (linguistics); Classical mechanics; Anisotropy; Constitutive equation; Brittleness; Geology; Materials science; Physics; Thermodynamics; Composite material","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002527098,0.0001463846,0.0001576394,0.00001049059,0.0002867618,0.00002662639,0.000322658,0.00009565479,0.002478187],"category_scores_gemma":[0.00001602274,0.00007997388,0.00009545726,0.00008452112,0.0001727555,0.0001343149,0.00001963562,0.0001057397,0.0005036274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007395265,"about_ca_system_score_gemma":0.00006175526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001124172,"about_ca_topic_score_gemma":0.003237046,"domain_scores_codex":[0.9989103,0.00004742306,0.0001861736,0.0002658677,0.0001463726,0.0004438388],"domain_scores_gemma":[0.9989938,0.0005305915,0.00007543352,0.0002535837,0.00004961143,0.00009702287],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007670129,0.0001026756,0.4008718,0.0001590166,0.0002438207,0.00003931989,0.001403474,0.09559363,0.00008839933,0.009696557,0.01995249,0.4710818],"study_design_scores_gemma":[0.001100481,0.0002946287,0.008596251,0.00006327254,0.00008038861,0.00008490879,0.0005442611,0.7337838,0.00002087931,0.02159452,0.2333638,0.0004728655],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2068506,0.0004669997,0.7754568,0.002904763,0.0008427399,0.000456692,0.0002309982,0.0001036645,0.01268675],"genre_scores_gemma":[0.9787987,0.0001017921,0.004570783,0.0006485005,0.0002539388,0.000004580895,0.00004505992,0.000009117942,0.01556752],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7719481,"threshold_uncertainty_score":0.9984337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01338753621890585,"score_gpt":0.1994572195216234,"score_spread":0.1860696833027176,"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."}}