{"id":"W4410865974","doi":"10.1007/s12145-025-01918-6","title":"FGrS: a software for fast gravimetric ultra-high spherical harmonic synthesis","year":2025,"lang":"en","type":"article","venue":"Earth Science Informatics","topic":"Geophysics and Gravity Measurements","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Geological Survey of Canada; Natural Resources Canada; University of New Brunswick","funders":"","keywords":"Gravimetric analysis; Software; Harmonic; Computer science; Chemistry; Physics; Acoustics; Programming language; Organic chemistry","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":[0.000906532,0.0001697274,0.0002246915,0.0002950133,0.0006198627,0.0003614425,0.0006873855,0.00005481222,0.0001705959],"category_scores_gemma":[0.0009794183,0.0001383923,0.00008279559,0.002791032,0.0003302484,0.0007931526,0.00002247893,0.0001354624,0.0002870332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009759227,"about_ca_system_score_gemma":0.0004464045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003557571,"about_ca_topic_score_gemma":0.000133636,"domain_scores_codex":[0.998058,0.0000162628,0.0004161387,0.0001956526,0.0007130699,0.0006008584],"domain_scores_gemma":[0.9987922,0.0003014519,0.0001389546,0.0003194969,0.0002656036,0.0001822782],"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":[0.00004523983,0.00008474207,0.1754068,0.0002510073,0.00004671033,0.000001795576,0.0008187845,0.004128076,0.0003777758,0.0009744144,0.001196582,0.8166681],"study_design_scores_gemma":[0.000744221,0.0003053074,0.9279331,0.0001610437,0.00008188977,0.000006774622,0.001152013,0.03179074,0.01571673,0.008248738,0.0132005,0.0006589257],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8785311,0.0001644098,0.1043238,0.0004168446,0.002100899,0.001310957,0.000409906,0.0001966002,0.01254549],"genre_scores_gemma":[0.9553953,0.00001189116,0.04376623,0.000455609,0.00003483081,0.000007442056,0.00002422749,0.000002263363,0.0003021698],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8160092,"threshold_uncertainty_score":0.5643476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01748829166738519,"score_gpt":0.2258914584681691,"score_spread":0.2084031668007839,"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."}}