{"id":"W2799652220","doi":"10.1016/j.jvolgeores.2018.04.024","title":"The effect of inflation on the morphology-derived rheological parameters of lava flows and its implications for interpreting remote sensing data - A case study on the 2014/2015 eruption at Holuhraun, Iceland","year":2018,"lang":"en","type":"article","venue":"Journal of Volcanology and Geothermal Research","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":28,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"H2020 European Research Council; Università degli Studi di Torino; Bayerisches Staatsministerium für Wirtschaft und Medien, Energie und Technologie; Bayerisches Staatsministerium für Wissenschaft, Forschung und Kunst","keywords":"Lava; Geology; Volcanology; Rheology; Flow (mathematics); Geophysics; Volcanism; Digital elevation model; Volcano; Lava dome; Petrology; Mechanics; Remote sensing; Seismology; Physics; Tectonics","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":[0.00463121,0.0002362315,0.0002272162,0.0005682812,0.0005938768,0.002048095,0.0003718752,0.0005959949,0.0007270623],"category_scores_gemma":[0.01704939,0.0002167713,0.0004101791,0.0008591351,0.001047604,0.000950976,0.000604364,0.0005404309,0.0001718002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001165909,"about_ca_system_score_gemma":0.000496144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02106293,"about_ca_topic_score_gemma":0.02216193,"domain_scores_codex":[0.9985352,0.0009001641,0.0001221975,0.0001574953,0.0001606535,0.0001242464],"domain_scores_gemma":[0.9820898,0.01456541,0.0014725,0.0006558178,0.001013912,0.0002027168],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004951231,0.00006760038,0.9593742,0.00003891215,0.0001173458,0.0006651122,0.000766371,0.01725636,0.005509411,0.0007608808,0.0004210272,0.01452763],"study_design_scores_gemma":[0.000007981929,0.0000468144,0.9657812,0.00001522628,0.00006263288,0.0001920758,0.0006116058,0.03031179,0.002002637,0.0003431549,0.0006068292,0.00001805696],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980426,0.0001188755,0.0004645072,0.0001754165,0.00000853143,0.0000036968,0.0001538869,0.00001315826,0.001019226],"genre_scores_gemma":[0.9995023,0.00003902608,0.0002359921,0.00001778093,0.000007667933,0.000001234605,0.0001270796,0.00001130392,0.00005771471],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02106293,"threshold_uncertainty_score":0.04188067,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.118681458479456,"score_gpt":0.3903279333757251,"score_spread":0.2716464748962692,"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."}}