{"id":"W2171627535","doi":"","title":"Exponential Family Predictive Representations of State","year":2007,"lang":"en","type":"article","venue":"Deep Blue (University of Michigan)","topic":"Gaussian Processes and Bayesian Inference","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Unobservable; Computer science; Observable; Dynamical systems theory; Population; Term (time); Representation (politics); Artificial intelligence; Set (abstract data type); State (computer science); Theoretical computer science; Machine learning; Mathematics; Econometrics; Algorithm","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002221924,0.0007702701,0.001190852,0.0008629276,0.0005247314,0.001983598,0.001171257,0.001289296,0.02347528],"category_scores_gemma":[0.01112924,0.0005455818,0.00105781,0.001305295,0.0007543227,0.002895145,0.001520784,0.003599072,0.005550912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001586497,"about_ca_system_score_gemma":0.001478864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007715488,"about_ca_topic_score_gemma":0.006077692,"domain_scores_codex":[0.9993718,0.0002097306,0.00002625996,0.0002303447,0.0001031676,0.00005877659],"domain_scores_gemma":[0.9963334,0.002221825,0.0001981649,0.0005881201,0.0005352617,0.0001232092],"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":[0.0003795495,0.0001570213,0.00472899,0.0002381125,0.0003012387,0.0001911008,0.0002520376,0.1957611,0.0007453607,0.1905879,0.1417956,0.464862],"study_design_scores_gemma":[0.00002656743,0.00004582944,0.001202048,0.0001253603,0.00004347303,0.00007118397,0.00004687394,0.8448657,0.0004449826,0.1211129,0.03198535,0.00002974983],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01322815,0.009186449,0.9432653,0.01205867,0.002298651,0.00008364113,0.002842407,0.001378941,0.01565789],"genre_scores_gemma":[0.6654333,0.01254936,0.1840366,0.002166116,0.003080216,0.0004350143,0.01088034,0.0007733647,0.1206456],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02347528,"threshold_uncertainty_score":0.0785327,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007253500050776444,"score_gpt":0.2013703976399183,"score_spread":0.1941168975891418,"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."}}