{"id":"W1988564962","doi":"10.1063/1.3663520","title":"Generating space-time auto-correlated fields on the sphere","year":2011,"lang":"en","type":"article","venue":"AIP conference proceedings","topic":"Soil Geostatistics and Mapping","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Spherical harmonics; Fortran; Harmonics; Gauss; Random field; Gaussian binomial coefficient; Fuzzy sphere; Vector spherical harmonics; Gaussian; Spin-weighted spherical harmonics; Code (set theory); Gaussian process; Stochastic process; Mathematics; Mathematical analysis; Algorithm; Computer science; Physics; Statistics; Quantum mechanics","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":[0.001222699,0.0004489383,0.0005960268,0.0007183087,0.0005347932,0.0007261425,0.0009555129,0.0005202831,0.004145106],"category_scores_gemma":[0.003760151,0.0003821791,0.000911164,0.0008860577,0.0007022594,0.00077506,0.001177073,0.0007576481,0.001189258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007477023,"about_ca_system_score_gemma":0.001109013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003477731,"about_ca_topic_score_gemma":0.002729219,"domain_scores_codex":[0.9993213,0.0002318531,0.00002934479,0.00008940123,0.0002646518,0.00006346888],"domain_scores_gemma":[0.9981995,0.0009379679,0.00009874076,0.0002612837,0.0004197229,0.00008284309],"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":[0.0001148218,0.0000469203,0.0008421924,0.00008233404,0.0000426693,0.0002459825,0.0001473865,0.7111108,0.008977647,0.1930956,0.003347776,0.08194596],"study_design_scores_gemma":[0.00001508351,0.00001469744,0.0001180443,0.00000635339,0.000003976009,0.00003521486,0.00001146621,0.9697365,0.002901935,0.02556946,0.001573944,0.00001325727],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007971643,0.00002410204,0.9897662,0.00004026416,0.00002326372,0.00004330545,0.00007692714,0.0004304656,0.001623825],"genre_scores_gemma":[0.2632971,0.0001881774,0.729005,0.0001007785,0.00005134789,0.0003386195,0.000798712,0.0005242074,0.005696069],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004145106,"threshold_uncertainty_score":0.01386678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02576227157555322,"score_gpt":0.2094334736679586,"score_spread":0.1836712020924054,"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."}}