{"id":"W2246161006","doi":"","title":"Preliminary Modeling of Ice Failure on Cones Due to Edge Shear","year":2005,"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","keywords":"Geology; Centrifuge; Shear (geology); Failure mode and effects analysis; Sea ice; Ice wedge; Enhanced Data Rates for GSM Evolution; Mechanics; Structural engineering; Engineering; Climatology; Petrology; Physics","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":[0.0002990718,0.0004722425,0.0004029713,0.0003283022,0.0004228804,0.0006244075,0.000656943,0.0005952658,0.001588422],"category_scores_gemma":[0.0006201649,0.000265695,0.0005894891,0.0002052279,0.0004684629,0.0004106406,0.0002945129,0.0003640677,0.0001618099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006876778,"about_ca_system_score_gemma":0.0005027662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01613285,"about_ca_topic_score_gemma":0.008180919,"domain_scores_codex":[0.9999175,0.00001657836,0.000003953855,0.00001426605,0.00002191033,0.00002582123],"domain_scores_gemma":[0.9998353,0.00006708589,0.00002653213,0.00001099097,0.00003789127,0.00002215088],"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":[0.00005361166,0.00003121363,0.001982609,0.00002556704,0.000005021628,0.0002230937,0.00005072356,0.9867534,0.004511802,0.004472008,0.0001482228,0.001742785],"study_design_scores_gemma":[0.000003393279,0.00002423261,0.0006204947,0.000001733184,0.000002097137,0.00002337873,0.00000778885,0.9983345,0.0003605282,0.0005125229,0.0001063744,0.000002880586],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.908392,0.0003266681,0.07784688,0.0001180465,0.00004024365,0.00009977855,0.0002797665,0.0001287048,0.01276779],"genre_scores_gemma":[0.9952846,0.0001593849,0.002161418,0.000009394965,0.000008099036,0.00002750075,0.00004519344,0.00001552846,0.002288961],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01613285,"threshold_uncertainty_score":0.03207791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01290169132091279,"score_gpt":0.2113762512114775,"score_spread":0.1984745598905647,"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."}}