{"id":"W2765267108","doi":"10.1007/s00190-017-1078-y","title":"On the feasibility of using satellite gravity observations for detecting large-scale solid mass transfer events","year":2017,"lang":"en","type":"article","venue":"Journal of Geodesy","topic":"Geophysics and Gravity Measurements","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University; Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Landslide; Geology; Gravitational field; Geodesy; Subaerial; Scale (ratio); Satellite; Submarine; Gravity anomaly; Seismology; Oceanography; Physics; Geography; Cartography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.005967082,0.0006005238,0.0004911852,0.001140405,0.0008295699,0.002016753,0.001257218,0.002495988,0.003792],"category_scores_gemma":[0.02366246,0.0004802215,0.000589828,0.001075156,0.001216681,0.003000752,0.001360401,0.0007999422,0.0009437177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006625174,"about_ca_system_score_gemma":0.0008519146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009374704,"about_ca_topic_score_gemma":0.009820402,"domain_scores_codex":[0.9982103,0.0007466426,0.00009663494,0.0002631557,0.0005092486,0.0001739354],"domain_scores_gemma":[0.9617122,0.0327163,0.0009941851,0.001159366,0.003074591,0.0003433187],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.02114426,0.001013975,0.5838572,0.0009678051,0.001052711,0.001878231,0.0007754659,0.08863714,0.1336047,0.0114038,0.005417415,0.1502472],"study_design_scores_gemma":[0.00167309,0.001842893,0.4056445,0.0002348184,0.001174304,0.0007808225,0.00175676,0.495282,0.07254571,0.009680483,0.009174528,0.0002100874],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9623211,0.0009779028,0.02095038,0.002241899,0.0001556609,0.0001001496,0.0009330279,0.0001442522,0.01217556],"genre_scores_gemma":[0.9882942,0.0003176669,0.009353554,0.0002159471,0.0001132454,0.00002112804,0.0004821694,0.00002549345,0.001176613],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009374704,"threshold_uncertainty_score":0.03155732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1450567676532603,"score_gpt":0.3151346125934053,"score_spread":0.1700778449401451,"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."}}