{"id":"W4401693261","doi":"10.1109/isit57864.2024.10619255","title":"Sparse Gaussian Gradient Code","year":2024,"lang":"en","type":"article","venue":"","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Code (set theory); Gaussian; Algorithm; Programming language; Physics","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":[0.00002473143,0.0000523414,0.00004156089,0.00004320811,0.00001267272,0.00004490136,0.00002708239,0.00002451299,0.0001874448],"category_scores_gemma":[0.000001858072,0.0000439355,0.00002188787,0.00009742516,0.000005835721,0.00003146151,0.000003540458,0.0000415395,0.0002616551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002333865,"about_ca_system_score_gemma":0.000003825557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006385828,"about_ca_topic_score_gemma":0.00002155327,"domain_scores_codex":[0.999711,0.0000028235,0.0000703196,0.00006849269,0.00005260707,0.00009471208],"domain_scores_gemma":[0.9998705,0.000008256905,0.000001408347,0.00007615026,0.000004880061,0.00003880429],"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":[5.965998e-7,0.000006611638,0.00005573919,0.00007840985,0.00002234565,0.0000348485,0.0001272116,0.8572696,0.001337357,0.1079017,0.02797466,0.005190914],"study_design_scores_gemma":[0.00002787013,0.000006570974,0.00009486925,0.00001661938,0.000005174383,0.000003059762,0.00001229184,0.9370149,0.001851714,0.0003723727,0.0605268,0.00006773006],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02520472,0.0007450614,0.8490925,0.0004990731,0.001590865,0.0001065257,0.000007862622,0.001599536,0.1211538],"genre_scores_gemma":[0.997304,0.00005324321,0.001082322,0.00004470692,0.00006552963,0.000001877455,0.00001054762,0.00001976957,0.001418054],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9720992,"threshold_uncertainty_score":0.3363134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01372742949378481,"score_gpt":0.2146025659299907,"score_spread":0.2008751364362059,"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."}}