{"id":"W2911316459","doi":"10.1029/2018jf004870","title":"Structural Evolution During Cyclic Glacier Surges: 2. Numerical Modeling","year":2019,"lang":"en","type":"article","venue":"Journal of Geophysical Research Earth Surface","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; University of British Columbia","keywords":"Geology; Glacier; Crevasse; Mesoscale meteorology; Geomorphology; Moraine; Geometry; Mechanics; Climatology; Mathematics; Physics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000753284,0.0001282133,0.0003172187,0.00006095142,0.0003387607,0.00009334365,0.0002819973,0.000057504,0.001275272],"category_scores_gemma":[0.0002552778,0.00009470867,0.0001750767,0.0006938071,0.00008221814,0.000483803,0.00004460454,0.0007305999,0.0003408336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002394001,"about_ca_system_score_gemma":0.0001545753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001913144,"about_ca_topic_score_gemma":0.0001303398,"domain_scores_codex":[0.9973484,0.0002054606,0.000394285,0.0002078788,0.001255275,0.0005887411],"domain_scores_gemma":[0.9984327,0.0005114668,0.0001208261,0.0001874684,0.0004916802,0.000255857],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000223711,0.00002633579,0.794232,0.00002583393,0.00005195644,0.00002274051,0.0001852353,0.2017512,0.001254761,0.00008446364,0.00006857212,0.002073291],"study_design_scores_gemma":[0.0003110554,0.0002049364,0.8049554,0.00003122208,0.000005600117,0.00001349508,0.0003201758,0.1932085,0.00003749993,0.0004578912,0.0003565514,0.00009774037],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977772,0.0008713001,0.0001955514,0.0003413907,0.0003683926,0.0001338705,0.000009227662,0.00001109984,0.0002919836],"genre_scores_gemma":[0.9983286,0.0001313529,0.0005557589,0.00001685803,0.0003327706,1.524604e-7,0.000003903081,0.000005575845,0.0006250663],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01072341,"threshold_uncertainty_score":0.9996377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04618422009131491,"score_gpt":0.2939303252917775,"score_spread":0.2477461052004626,"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."}}