{"id":"W7127315224","doi":"10.1109/ccece64018.2025.11364504","title":"Consistent Multiple Model Horizon Scenario Tree (MM-HST) Framework for Optimization-Based State Estimators","year":2025,"lang":"","type":"article","venue":"","topic":"Target Tracking and Data Fusion in Sensor Networks","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; National Research Council","keywords":"Estimator; Consistency (knowledge bases); Tree (set theory); Constant (computer programming); State (computer science); Noise (video); Process (computing); Horizon","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0006938999,0.0007862949,0.0008338946,0.0004652509,0.001178155,0.001305332,0.001791646,0.0005673264,0.0001242379],"category_scores_gemma":[0.001044986,0.0007754659,0.0004816073,0.001411663,0.0003314019,0.0005350607,0.0005383648,0.0007044291,0.0000351933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002343697,"about_ca_system_score_gemma":0.001412665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001061253,"about_ca_topic_score_gemma":0.00008620893,"domain_scores_codex":[0.9946032,0.0001779925,0.001423585,0.001851835,0.0006655609,0.001277867],"domain_scores_gemma":[0.9930419,0.003059696,0.0004465163,0.00220171,0.0007987661,0.000451391],"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":[0.0002155388,0.0004188839,0.0006372622,0.0001481731,0.00009641206,0.000007553239,0.0001949647,0.8932745,0.000005972678,0.04495325,0.01481691,0.04523052],"study_design_scores_gemma":[0.002168864,0.0002823505,0.00003237747,0.0007289972,0.0001181155,0.000001724874,0.00004313656,0.9819155,0.0004115254,0.01134718,0.002141662,0.0008085814],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0003404151,0.0004980724,0.9879183,0.003122307,0.004192272,0.001516223,0.000275265,0.0006230203,0.001514159],"genre_scores_gemma":[0.2365488,0.0001076439,0.7591998,0.001845921,0.00009633983,0.0001149297,0.0001269101,0.00005172945,0.001907955],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2362083,"threshold_uncertainty_score":0.9997314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02446453103641524,"score_gpt":0.2762855913371124,"score_spread":0.2518210603006972,"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."}}