{"id":"W3139791528","doi":"10.1109/iccspa49915.2021.9385767","title":"Spatiotemporal Prediction Using Hierarchical Bayesian Modeling","year":2021,"lang":"en","type":"article","venue":"","topic":"Gaussian Processes and Bayesian Inference","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Gaussian process; Covariance; Bayesian probability; Kriging; Computer science; Gaussian; Artificial intelligence; Covariance function; Pattern recognition (psychology); Data mining; Exponential function; Bayesian inference; Algorithm; Machine learning; Mathematics; Statistics","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":[0.002543603,0.0007613356,0.001140298,0.001776025,0.0006016108,0.001492799,0.001874692,0.0009751177,0.002439796],"category_scores_gemma":[0.009778718,0.0007065383,0.001143133,0.002206938,0.0005554434,0.002243726,0.001255909,0.00165171,0.0006948135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001374582,"about_ca_system_score_gemma":0.001928866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04760614,"about_ca_topic_score_gemma":0.04415736,"domain_scores_codex":[0.9988419,0.0004561451,0.00006561731,0.0002465903,0.0002967021,0.0000930359],"domain_scores_gemma":[0.9973303,0.001704807,0.0002720011,0.0001990853,0.0004056288,0.00008814688],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000520603,0.00004460012,0.003590556,0.00008081424,0.0001111378,0.00008725555,0.00009916225,0.8649417,0.0004993941,0.04124901,0.003147661,0.08609664],"study_design_scores_gemma":[0.000003614836,0.000004709094,0.0002103245,0.000008073143,0.000008183995,0.000006824843,0.000005601517,0.9853655,0.00006330851,0.01394749,0.0003712692,0.000005220342],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01057789,0.0004385521,0.9859701,0.0003044262,0.00003840116,0.00003726951,0.0004034177,0.0004795915,0.001750362],"genre_scores_gemma":[0.6737417,0.001567541,0.3184901,0.0002252925,0.0001900153,0.0002189098,0.001843,0.0001501439,0.003573311],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04760614,"threshold_uncertainty_score":0.09465808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03054838603105757,"score_gpt":0.2570726136288241,"score_spread":0.2265242275977666,"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."}}