{"id":"W4392159402","doi":"10.1017/jog.2024.8","title":"Formation and persistence of glaciovolcanic voids explored with analytical and numerical models","year":2024,"lang":"en","type":"article","venue":"Journal of Glaciology","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; Simon Fraser University","keywords":"Geothermal gradient; Geology; Glacier; Volcano; Snow; Void (composites); Heat flux; Geomorphology; Scaling; Geophysics; Petrology; Mechanics; Geochemistry; Geometry; Heat transfer; Materials science; Physics; Composite material","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002344935,0.0004064266,0.0003701168,0.0007394845,0.0007533855,0.00150985,0.0008579624,0.001050632,0.001444959],"category_scores_gemma":[0.001284665,0.0003426835,0.0006060881,0.0005536352,0.001283565,0.0007110375,0.0005210132,0.0004205632,0.0001092088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00289032,"about_ca_system_score_gemma":0.001489671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07282461,"about_ca_topic_score_gemma":0.03191956,"domain_scores_codex":[0.9999299,0.00001366965,0.000003663717,0.00001762673,0.00001038569,0.00002468993],"domain_scores_gemma":[0.9993784,0.0002751829,0.0001519151,0.00004991988,0.00007725646,0.00006729354],"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":[0.000009129848,0.00002664284,0.003622089,0.000008956984,0.000007041153,0.00003339589,0.00004156315,0.9931291,0.0004508457,0.001882621,0.0001024674,0.0006861516],"study_design_scores_gemma":[0.000002974232,0.000004794428,0.0006271986,0.000002579453,0.000002807765,0.000005732682,0.0000258803,0.9986099,0.00009729461,0.0004905418,0.0001266532,0.000003628396],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9718361,0.0002315396,0.01431062,0.0003199435,0.00002130455,0.0000361346,0.0003175309,0.0001987033,0.01272802],"genre_scores_gemma":[0.9970185,0.00009145158,0.001820208,0.00001748209,0.00000593572,0.00002260087,0.00006619695,0.00001782948,0.0009398318],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07282461,"threshold_uncertainty_score":0.1448014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04311322532594818,"score_gpt":0.2277924554866208,"score_spread":0.1846792301606726,"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."}}