{"id":"W17444902","doi":"10.1007/978-3-642-20338-1_48","title":"Local Gravity Field Modelling in Rugged Terrain Using Spherical Radial Basis Functions: Case Study for the Canadian Rocky Mountains","year":2011,"lang":"en","type":"book-chapter","venue":"International Association of Geodesy symposia","topic":"Geophysics and Gravity Measurements","field":"Earth and Planetary Sciences","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Terrain; Geodesy; Grid; Gravitational field; Geometry; Gravity anomaly; Geology; Wavelet; Mathematics; Physics; Geography; Optics; Classical mechanics; Computer science; Amplitude; Cartography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007782142,0.0002190223,0.0002809236,0.0001866961,0.0003012,0.0000857763,0.000275263,0.0002420911,0.0004515235],"category_scores_gemma":[0.00006393607,0.0001979033,0.0001821991,0.00005880788,0.00003118009,0.000132178,0.00001534337,0.0003340585,0.00001859695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004022312,"about_ca_system_score_gemma":0.0003277344,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7237474,"about_ca_topic_score_gemma":0.884823,"domain_scores_codex":[0.9982595,0.00005599319,0.0004983909,0.0003017793,0.0006253146,0.0002589553],"domain_scores_gemma":[0.9985979,0.0003727596,0.0004263749,0.000156403,0.0003433466,0.0001032238],"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":[0.0004083098,0.0003336924,0.6054379,0.00004200397,0.002185313,0.0002652161,0.003680424,0.349103,0.00001053635,0.004502878,0.001186864,0.03284389],"study_design_scores_gemma":[0.004183794,0.001083356,0.0601907,0.0002857231,0.001023788,0.0001350374,0.002295441,0.8420613,0.00002717754,0.03627953,0.05071072,0.001723411],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6752183,0.0009724431,0.117452,0.005790569,0.01459443,0.01094561,0.01048217,0.0001384977,0.1644059],"genre_scores_gemma":[0.9895701,0.000009820429,0.0001921486,0.0001558419,0.0002134492,0.000008659391,0.0002184056,0.00001120759,0.009620371],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5452471,"threshold_uncertainty_score":0.8070262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04243644502385598,"score_gpt":0.2430861758969614,"score_spread":0.2006497308731054,"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."}}