{"id":"W2053879002","doi":"10.1006/jmva.2000.1968","title":"Optimal Spherical Deconvolution","year":2002,"lang":"en","type":"article","venue":"Journal of Multivariate Analysis","topic":"Statistical and numerical algorithms","field":"Mathematics","cited_by":59,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Mathematics; Deconvolution; Smoothness; Convolution (computer science); Euclidean geometry; Mathematical analysis; Blind deconvolution; Rotation (mathematics); Applied mathematics; Geometry; Algorithm","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003301885,0.0001254401,0.0005552256,0.0001709179,0.00006066084,0.00002975138,0.0001707224,0.00007056579,0.003150509],"category_scores_gemma":[0.0009034277,0.00008766503,0.0005144298,0.0008537155,0.00004668033,0.0001257572,0.00002890264,0.0002271394,0.00005455174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005984168,"about_ca_system_score_gemma":0.00000814912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002846793,"about_ca_topic_score_gemma":0.00000259699,"domain_scores_codex":[0.9984787,0.0001162631,0.0006780113,0.0001257781,0.0003950507,0.0002061963],"domain_scores_gemma":[0.9983559,0.0006550296,0.0004332556,0.0001387612,0.0002297908,0.0001872664],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001851329,0.0220487,0.04112569,0.0003744219,0.08677662,0.003897546,0.01022806,0.04112434,0.01388691,0.1058391,0.1017654,0.5710819],"study_design_scores_gemma":[0.002033221,0.0005578981,0.01886792,0.00003130233,0.007798251,0.0001173572,0.0002002337,0.9361128,0.0004515587,0.02862516,0.004728696,0.0004756205],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08313695,0.0001497921,0.9154033,0.0004605979,0.0001121643,0.0000361018,0.000005852528,0.00001770015,0.0006775103],"genre_scores_gemma":[0.5542185,0.00003948819,0.4448102,0.00005488569,0.000203717,9.335502e-7,8.357943e-7,0.00001064651,0.0006607874],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8949885,"threshold_uncertainty_score":0.9977608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05127910675315026,"score_gpt":0.3247130044820929,"score_spread":0.2734338977289427,"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."}}