{"id":"W6912159131","doi":"10.5281/zenodo.14740493","title":"Resolving 70 Million Years of Earth's True Polar Wander and Precession: Paleomagnetic Validation of a Seismic Tomography–Based Mantle Convection Model","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"History of Computing Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"Agence Nationale de la Recherche","keywords":"Paleomagnetism; Mantle (geology); Mantle convection; Flattening; Convection; Polar wander; Geodynamics; Polar; Moment of inertia","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":[0.0006173021,0.0004187182,0.0003590415,0.0005751638,0.0003362824,0.0007484986,0.0006517405,0.0006525024,0.0007325686],"category_scores_gemma":[0.001516682,0.0003101625,0.0005821014,0.0006595838,0.0006538169,0.0005916881,0.0006948684,0.0005707388,0.0001823623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000659067,"about_ca_system_score_gemma":0.0006109067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01108111,"about_ca_topic_score_gemma":0.006295021,"domain_scores_codex":[0.9998852,0.0000315016,0.000007810328,0.00003595438,0.00001913769,0.00002027387],"domain_scores_gemma":[0.9997389,0.00007348931,0.00004386093,0.00006483102,0.00003206114,0.00004684215],"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":[0.0002133796,0.00007984378,0.04701483,0.00006483087,0.0001611245,0.0002642242,0.0001816551,0.9217948,0.01443685,0.005011049,0.0008151482,0.009962338],"study_design_scores_gemma":[0.00003620533,0.00002369337,0.01239117,0.000009241498,0.00002686152,0.00004789059,0.00003224145,0.9836434,0.001507929,0.001541498,0.0007172236,0.00002264929],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9778446,0.0003601866,0.01842507,0.0003763555,0.00003836403,0.0000113072,0.0007334428,0.0003000153,0.001910708],"genre_scores_gemma":[0.9955343,0.0001290902,0.003334768,0.0000283051,0.00001602045,0.0000116691,0.0007161443,0.00005627895,0.0001733392],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01108111,"threshold_uncertainty_score":0.02203321,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01772443439527115,"score_gpt":0.2314438660332581,"score_spread":0.213719431637987,"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."}}