{"id":"W4386963593","doi":"10.5194/essd-2023-376","title":"Earth Virtualization Engines (EVE)","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Anthropocene; Virtualization; Earth (classical element); Excellence; Earth system science; Political science; Earth science; Business; Cloud computing; Environmental ethics; Geology; Law","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":[0.001506902,0.0009011878,0.0004349768,0.0005922001,0.0003702231,0.00234013,0.001487207,0.0007002609,0.01780973],"category_scores_gemma":[0.003032041,0.0005069683,0.0006796333,0.0004837018,0.0004963547,0.003727555,0.003443927,0.002009907,0.006862855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003479313,"about_ca_system_score_gemma":0.000711169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001050921,"about_ca_topic_score_gemma":0.001019122,"domain_scores_codex":[0.9991814,0.0001402441,0.00005852099,0.0001289202,0.0002904547,0.0002003812],"domain_scores_gemma":[0.9991059,0.0002198704,0.0000521606,0.0003687411,0.0001026207,0.0001506179],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002125643,0.0005937617,0.006898508,0.00113233,0.0003850977,0.0005610868,0.000371097,0.03718821,0.01518662,0.2666202,0.4199272,0.2490103],"study_design_scores_gemma":[0.0004702112,0.0002499089,0.002581454,0.0002470331,0.0001262503,0.0003845829,0.00009506136,0.1762046,0.03202792,0.07193997,0.7155436,0.0001293769],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09533685,0.008200703,0.3348623,0.004302228,0.003488632,0.0009892718,0.02361789,0.2972649,0.2319372],"genre_scores_gemma":[0.6734205,0.004415144,0.1541881,0.002028913,0.0004820644,0.0006280887,0.05799582,0.01543668,0.09140465],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01780973,"threshold_uncertainty_score":0.05957943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3418710284515343,"score_gpt":0.434227147625331,"score_spread":0.09235611917379666,"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."}}