{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003002477,0.0004006067,0.0005436292,0.001394511,0.001257498,0.001146759,0.000605711,0.0004853524,0.002519114],"category_scores_gemma":[0.00189962,0.0003899613,0.0005860178,0.002314384,0.0005884646,0.0008308486,0.00171191,0.0009839803,0.001235859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005828873,"about_ca_system_score_gemma":0.0009580475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0141323,"about_ca_topic_score_gemma":0.02007104,"domain_scores_codex":[0.9997665,0.00002472708,0.000005759675,0.00008742266,0.00008986324,0.0000257956],"domain_scores_gemma":[0.9994536,0.00008010326,0.0001011555,0.0001352385,0.0001390409,0.0000908211],"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":[0.001088468,0.000126677,0.5252017,0.0005721127,0.0005126111,0.0006607705,0.003049659,0.04486196,0.127244,0.02603576,0.02351463,0.2471316],"study_design_scores_gemma":[0.0002945671,0.0003660675,0.6229618,0.0002012896,0.000382434,0.0009539374,0.001286953,0.1927348,0.04222326,0.01850292,0.1198684,0.0002236309],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7526942,0.000785454,0.1018184,0.001422736,0.0002725793,0.00007321498,0.006249275,0.005378641,0.1313056],"genre_scores_gemma":[0.9607242,0.000159284,0.03483516,0.0001140144,0.00007586781,0.0000220238,0.001936286,0.0005615739,0.001571542],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0141323,"threshold_uncertainty_score":0.02810007,"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."}}