{"id":"W2779466111","doi":"10.1007/s13351-017-6848-1","title":"Error inhomogeneity in the computation of spherical mean displacement","year":2017,"lang":"en","type":"article","venue":"Journal of Meteorological Research","topic":"Climate variability and models","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ministry of Education and Child Care","funders":"","keywords":"Displacement (psychology); Geodesy; Computation; Zonal and meridional; Particle displacement; Wind speed; Latitude; Magnitude (astronomy); Vertical displacement; Geometry; Mathematics; Geology; Mathematical analysis; Physics; Meteorology; Amplitude; Algorithm; Optics; Atmospheric sciences","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":[0.01188261,0.00005482002,0.0001807655,0.0000292601,0.0001942197,0.00004482643,0.0007802743,0.00007395798,0.0006081634],"category_scores_gemma":[0.001802441,0.00002867694,0.00006918248,0.0001085862,0.0006211295,0.0001474818,0.0003411859,0.0005385543,0.00002031232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001022281,"about_ca_system_score_gemma":0.00001952036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002458608,"about_ca_topic_score_gemma":0.0002060968,"domain_scores_codex":[0.9973348,0.0008895072,0.0003700691,0.0001200526,0.001054445,0.0002311551],"domain_scores_gemma":[0.9987644,0.0006630352,0.0002128817,0.0002403188,0.0000451989,0.00007419706],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003112206,0.004711565,0.7890439,0.00007191776,0.00006811038,0.0003259136,0.004979687,0.04605981,0.09727651,0.003675227,0.003449426,0.04722575],"study_design_scores_gemma":[0.0008309558,0.001513828,0.9669138,0.00002095076,0.00001045458,0.00002315874,0.0005565741,0.008882539,0.000737385,0.01938039,0.001059445,0.00007051167],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932715,0.00002127773,0.0007918103,0.00253888,0.00003661467,0.0001380074,0.00000144432,9.211976e-7,0.003199545],"genre_scores_gemma":[0.9985114,0.00003780277,0.001348907,0.00005644968,0.00002624319,0.000002903078,2.880058e-7,0.000002050059,0.00001396885],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1778699,"threshold_uncertainty_score":0.6658962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2285332580862337,"score_gpt":0.4450309587353022,"score_spread":0.2164977006490685,"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."}}