{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002940153,0.0001116621,0.0002067649,0.0000327057,0.0001026718,0.00001418092,0.0001320283,0.00004538839,0.00004645893],"category_scores_gemma":[0.0001455991,0.0001009757,0.00006575108,0.0001466859,0.0000515702,0.00008406542,0.0000152084,0.0000843606,0.000014317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004365084,"about_ca_system_score_gemma":0.00002626299,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04311708,"about_ca_topic_score_gemma":0.008647278,"domain_scores_codex":[0.9989244,0.0000148279,0.0004430044,0.0001766426,0.0002153302,0.0002257478],"domain_scores_gemma":[0.9993073,0.000203613,0.0002344782,0.0001496172,0.00007250482,0.0000324841],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000004862753,0.00001303371,0.5075074,0.00003974591,0.000009358768,0.000001667391,0.00006154634,0.4899345,0.001064304,0.000008754837,0.000008998173,0.001345728],"study_design_scores_gemma":[0.00009361201,0.00001537325,0.7549777,0.0001300755,0.00001372122,4.252021e-7,0.0002101144,0.2435309,0.0007650683,0.0001295336,0.00004748373,0.00008602234],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9899462,0.001027069,0.0001098693,0.00005017142,0.0001488869,0.00008820282,0.0000175574,0.00003628003,0.008575746],"genre_scores_gemma":[0.9900309,0.00005388833,0.009740876,0.000007408371,0.00005794186,3.32226e-7,0.00002259496,0.000004825226,0.00008124821],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2474702,"threshold_uncertainty_score":0.9632549,"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."}}