{"meta":{"query_hash":"640987db94ee","filters":{"venue":"Pomiary Automatyka Robotyka"},"cohort_total":1,"direct_labels_cover":0,"predictions_cover":1,"exported":1,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/640987db94ee","api":"https://metacan.xera.ac/api/v1/cohort?venue=Pomiary+Automatyka+Robotyka"},"results":[{"id":"W4390237309","doi":"10.14313/par_250/5","title":"Optimal State Estimation via Adaptive Fuzzy Particle Filter","year":2023,"lang":"en","type":"article","venue":"Pomiary Automatyka Robotyka","topic":"Fuzzy Logic and Control Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Particle filter; Auxiliary particle filter; Control theory (sociology); Weighting; Fuzzy logic; Residual; Resampling; Nonlinear system; Standard deviation; Mathematics; Convergence (economics); Mathematical optimization; Computer science; Algorithm; Statistics; Artificial intelligence; Kalman filter","score_opus":0.018400261230264104,"score_gpt":0.23427353894647163,"score_spread":0.2158732777162075,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390237309","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08067563,0.0002142765,0.9043716,0.0028044234,0.0009697525,0.0005939173,0.000013977557,0.0036896826,0.0066667483],"genre_scores_gemma":[0.97009724,0.000011753061,0.028002983,0.00034970976,0.00008233993,0.00012972586,0.000014990001,0.00002550807,0.0012857544],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975592,0.00020409148,0.00046291912,0.00060493057,0.00045705782,0.00071183924],"domain_scores_gemma":[0.99863654,0.00020752965,0.00014738765,0.0007273752,0.00007571117,0.00020543588],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00056938344,0.00027409208,0.00032783698,0.00013494158,0.00024664385,0.00022638927,0.00085002265,0.00009185474,0.000016829736],"category_scores_gemma":[0.00003876682,0.00024684664,0.00014155205,0.00087674917,0.00006798323,0.0010682389,0.0003019414,0.00017516753,0.0037745663],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010772195,0.00019229975,0.0006966791,0.0000627137,0.00022880788,0.00048579017,0.0038513604,0.7948599,0.0044343183,0.055382106,0.014216887,0.12548141],"study_design_scores_gemma":[0.00062247535,0.00014088038,0.009300644,0.000026271506,0.000012439493,0.00004124298,0.000037558533,0.9741083,0.000826013,0.014338223,0.00022504955,0.00032093227],"about_ca_topic_score_codex":0.00007739707,"about_ca_topic_score_gemma":0.000007670455,"teacher_disagreement_score":0.8894216,"about_ca_system_score_codex":0.00008649866,"about_ca_system_score_gemma":0.00009235935,"threshold_uncertainty_score":0.9999984},"labels":[],"label_agreement":null}]}