{"id":"W2742572322","doi":"10.5194/tc-12-549-2018","title":"Sub-seasonal thaw slump mass wasting is not consistently energy limited at the landscape scale","year":2018,"lang":"en","type":"article","venue":"The cryosphere","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"Government of Northwest Territories; University of Guelph","funders":"Helmholtz-Gemeinschaft; European Space Agency; Deutsches Zentrum für Luft- und Raumfahrt; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Mass wasting; Environmental science; Physical geography; Atmospheric sciences; Slump; Snow; Geology; Hydrology (agriculture); Climatology; Landslide; Geography; Geomorphology; Geotechnical engineering","routes":{"ca_aff":true,"ca_fund":false,"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":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002625836,0.0002298988,0.0002131065,0.000006465516,0.001578804,0.0001381618,0.0004453715,0.0000866228,0.01432476],"category_scores_gemma":[0.00002836233,0.0001295937,0.0001488212,0.0003933016,0.0004477419,0.00009687922,0.00008451872,0.000157951,0.0007539461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009101301,"about_ca_system_score_gemma":0.00005470874,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002815857,"about_ca_topic_score_gemma":0.09159454,"domain_scores_codex":[0.9983232,0.00007900959,0.0002766066,0.0003692719,0.0004267452,0.0005251347],"domain_scores_gemma":[0.9986278,0.000513703,0.0001371442,0.0004639116,0.0001354668,0.0001220082],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007370147,0.00001538153,0.827551,0.000009554972,0.0001007224,0.000006257684,0.0005280206,0.0002749705,0.00009374102,0.00009874413,0.1382266,0.03302125],"study_design_scores_gemma":[0.000331238,0.0001156165,0.6625972,0.000023255,0.00006408061,0.0000178318,0.001440324,0.02215115,0.0001807873,0.0001849458,0.3126442,0.0002492889],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9580643,0.004044516,0.0002496018,0.005963708,0.00106652,0.0002109701,0.0003187422,0.0001048637,0.02997679],"genre_scores_gemma":[0.9809669,0.000260734,0.0002961612,0.005632286,0.0007640474,0.000007163524,0.00007982503,0.00001191425,0.01198096],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1744176,"threshold_uncertainty_score":0.999721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01874262504109901,"score_gpt":0.2028293746068885,"score_spread":0.1840867495657895,"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."}}