{"id":"W4391474133","doi":"10.1190/geo2023-0202.1","title":"Using gravity data uncertainties in forward modeling to estimate uncertainties in model parameters: A case history in estimating the dip and the dip uncertainty of the Porcupine Destor Fault","year":2024,"lang":"en","type":"article","venue":"Geophysics","topic":"Geological Modeling and Analysis","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Laurentian University","funders":"Canada First Research Excellence Fund","keywords":"Uncertainty analysis; Calibration; Bouguer anomaly; Data set; Geodesy; Measurement uncertainty; Geology; Mathematics; Gravity anomaly; Statistics","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":[0.004227208,0.0008275541,0.0005606487,0.00169006,0.0007053027,0.00108588,0.001100208,0.001180173,0.0006257195],"category_scores_gemma":[0.0165018,0.0004175416,0.0008777663,0.001741857,0.000921708,0.001250351,0.0008879044,0.00105962,0.00009222428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002594491,"about_ca_system_score_gemma":0.0008941401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.168574,"about_ca_topic_score_gemma":0.1091432,"domain_scores_codex":[0.998383,0.0006987915,0.00009619299,0.0001995716,0.0005166861,0.0001057401],"domain_scores_gemma":[0.991951,0.005225851,0.0007121112,0.0007115708,0.001296472,0.0001030478],"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":[0.0001310646,0.00006062364,0.09930265,0.00007353272,0.0001292778,0.001722532,0.000416127,0.851638,0.002784235,0.002819737,0.0004805339,0.04044176],"study_design_scores_gemma":[0.00002479149,0.0000955412,0.04411682,0.00009376656,0.00007949013,0.000414098,0.0005240273,0.9407254,0.008689632,0.002636387,0.002499652,0.0001002493],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9371967,0.0004270006,0.05527698,0.0006120505,0.00002506527,0.00004547225,0.0004101853,0.0002958774,0.005710553],"genre_scores_gemma":[0.98861,0.00006081536,0.01094514,0.00001532041,0.000005635022,0.000005930589,0.0001127736,0.00002544991,0.000218968],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.168574,"threshold_uncertainty_score":0.3351856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08621906147122284,"score_gpt":0.2950681143452601,"score_spread":0.2088490528740373,"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."}}