{"id":"W2188609075","doi":"","title":"INTRODUCING THE SHEAR-CAP MATERIAL CRITERION TO AN ICE RUBBLE LOAD MODEL","year":2015,"lang":"en","type":"article","venue":"NPARC","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Public Works and Government Services Canada","keywords":"Rubble; Structural engineering; Yield surface; Conical surface; Geotechnical engineering; Shear (geology); Parametric statistics; Plasticity; Hydrostatic equilibrium; Geology; Hydrostatic pressure; Mechanics; Engineering; Mathematics; Finite element method; Materials science; Constitutive equation; Geometry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005542974,0.0008705611,0.0004526186,0.00107666,0.0003032104,0.001050572,0.001795135,0.001061882,0.003142155],"category_scores_gemma":[0.0008239022,0.000318413,0.0007402513,0.0004001365,0.0006106796,0.0009808391,0.0006890745,0.0005794333,0.001332846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007756412,"about_ca_system_score_gemma":0.0009269247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006637119,"about_ca_topic_score_gemma":0.003834505,"domain_scores_codex":[0.9996932,0.00003690918,0.00001889348,0.00004534602,0.0001785521,0.00002712591],"domain_scores_gemma":[0.9997715,0.00004776905,0.00003001778,0.00002634,0.0001119964,0.00001235398],"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":[0.0000240526,0.00003178988,0.0006706,0.00006567936,0.00001123341,0.000133526,0.00005661218,0.9505138,0.01056289,0.01976656,0.0008762331,0.0172869],"study_design_scores_gemma":[0.000002774469,0.00001882342,0.0002266033,0.000006801084,0.000003821675,0.000024367,0.000006572039,0.9951988,0.001038424,0.001501313,0.001965199,0.000006505664],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06711095,0.0003833011,0.8799605,0.0002694869,0.0001734395,0.0001986195,0.0006034193,0.0007868367,0.05051354],"genre_scores_gemma":[0.8966805,0.0005540334,0.07736686,0.0001120285,0.00009643885,0.0003614868,0.0005646629,0.0003345805,0.02392952],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006637119,"threshold_uncertainty_score":0.013197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02198649052748392,"score_gpt":0.2348881148364422,"score_spread":0.2129016243089583,"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."}}