{"id":"W2116041760","doi":"10.1007/s00190-005-0002-z","title":"A synthetic Earth Gravity Model Designed Specifically for Testing Regional Gravimetric Geoid Determination Algorithms","year":2006,"lang":"en","type":"article","venue":"Journal of Geodesy","topic":"Geophysics and Gravity Measurements","field":"Earth and Planetary Sciences","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"Australian Research Council","keywords":"Geoid; Geodesy; Undulation of the geoid; Geology; Digital elevation model; Gravity of Earth; Algorithm; Gravitational field; Geophysics; Mathematics; Physics; Remote sensing; Classical mechanics","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":[0.0009905921,0.0001458684,0.0002467808,0.0002408126,0.0001969538,0.00009796319,0.0002168088,0.00006113265,0.00002357232],"category_scores_gemma":[0.0001884878,0.0001206462,0.0001739216,0.0003604518,0.0000477119,0.0002394049,0.000005426444,0.0001548115,0.00001297389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001127997,"about_ca_system_score_gemma":0.0001196005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003292631,"about_ca_topic_score_gemma":0.0001690967,"domain_scores_codex":[0.9983674,0.00005770981,0.0004749826,0.0001771284,0.0006208643,0.0003018984],"domain_scores_gemma":[0.9985281,0.0003024121,0.0004358379,0.0001160837,0.0004957693,0.0001218234],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005240905,0.0005665005,0.1545423,0.0001077165,0.00008696048,0.00008390954,0.0001158121,0.1513463,0.01885557,0.000469204,0.001117364,0.6721842],"study_design_scores_gemma":[0.001114897,0.0006794311,0.5181321,0.00007315459,0.00009564887,0.0001571571,0.00002043852,0.4236609,0.0008107395,0.0540979,0.0008508478,0.0003067295],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.83485,0.0003065472,0.1632786,0.0002087047,0.0003230167,0.0003099294,0.00006170326,0.00001671444,0.0006448347],"genre_scores_gemma":[0.922283,0.000006638876,0.07714618,0.00005025699,0.0003056398,7.967143e-7,0.00001958624,0.000005692692,0.0001822034],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6718775,"threshold_uncertainty_score":0.4919808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06125437518023447,"score_gpt":0.2429716203480931,"score_spread":0.1817172451678587,"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."}}