{"id":"W1678163839","doi":"","title":"Dynamic Modeling of Speed Profiles of Extreme Dry Snow Avalanches","year":2006,"lang":"en","type":"article","venue":"AGU Spring Meeting Abstracts","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Discretization; Flow (mathematics); Context (archaeology); Mechanics; Snow; Geology; Computer science; Meteorology; Simulation; Environmental science; Mathematics; Physics; Mathematical analysis","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002269938,0.0004168104,0.0003498332,0.0004714947,0.0002403207,0.0005482474,0.0006484289,0.0003887791,0.0009316675],"category_scores_gemma":[0.0007129717,0.0003520546,0.0004754254,0.0002991619,0.0002658536,0.0004971232,0.0004692325,0.000424501,0.0001440023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004402127,"about_ca_system_score_gemma":0.0005723346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01189021,"about_ca_topic_score_gemma":0.009532957,"domain_scores_codex":[0.9999268,0.00001427285,0.000005102381,0.00001577002,0.00002724125,0.00001076574],"domain_scores_gemma":[0.9998686,0.00004351836,0.00002886737,0.0000121812,0.00003225004,0.00001448844],"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":[0.000008140475,0.000007463889,0.001169959,0.000007347751,0.000007204781,0.00002716485,0.00002033607,0.992789,0.001593789,0.001159517,0.000045642,0.003164377],"study_design_scores_gemma":[9.528421e-7,0.000002812721,0.0001813568,7.891598e-7,0.000001000329,0.000003226376,0.000001683788,0.999421,0.0001179632,0.0001593057,0.0001084592,0.000001515462],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2277548,0.000120034,0.7660215,0.00006659664,0.00002310231,0.00005493346,0.0002455805,0.0004084633,0.00530494],"genre_scores_gemma":[0.9550731,0.0001097207,0.04261095,0.00001140906,0.00001222192,0.00005302657,0.0001484926,0.00005028236,0.001930951],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01189021,"threshold_uncertainty_score":0.023642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02819967579750277,"score_gpt":0.2133286765397509,"score_spread":0.1851290007422481,"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."}}