{"id":"W112872730","doi":"","title":"Using Mercury's physical libration in longitude to constrain its interior geometry","year":2010,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Planetary Science and Exploration","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Geometry; Mercury (programming language); Longitude; Astrobiology; Geodesy; Physics; Geography; Geology; Meteorology; Latitude; Computer science; Mathematics","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":[0.0001971027,0.0001986391,0.0002170179,0.0001625405,0.00008739126,0.0002549241,0.0002548895,0.00006117806,0.0001934823],"category_scores_gemma":[0.00002078024,0.0001921706,0.00005123805,0.0003075282,0.00003906486,0.001128466,0.00005145247,0.0003294127,0.0004345506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001564887,"about_ca_system_score_gemma":0.0001958237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003138612,"about_ca_topic_score_gemma":0.0003593266,"domain_scores_codex":[0.9986895,0.00003061346,0.0002974504,0.0003730023,0.0002267215,0.000382706],"domain_scores_gemma":[0.9993973,0.00003477093,0.0001077948,0.0001931186,0.00007771779,0.0001892855],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001079034,0.00008480482,0.01029362,0.000003540745,0.000009100623,0.000006782112,0.0004281997,0.00500971,0.9727245,0.004392385,0.00008982365,0.006946743],"study_design_scores_gemma":[0.0008583162,0.0002150221,0.4013365,0.0001050834,0.000031933,0.00001238379,0.0008161264,0.1137207,0.4767773,0.003761084,0.001186534,0.001178978],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950352,0.000002009583,0.001852593,0.0004633675,0.0004041619,0.0002175312,0.00003232789,0.00002717814,0.00196557],"genre_scores_gemma":[0.996809,4.546456e-7,0.0021945,0.0001039718,0.0005819029,0.0000134154,0.0001889753,0.00001050349,0.00009727713],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4959472,"threshold_uncertainty_score":0.783649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04080945750664931,"score_gpt":0.2970965579594633,"score_spread":0.2562871004528139,"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."}}