{"id":"W2281099931","doi":"10.1016/j.physd.2016.02.004","title":"Stabilisation of difference equations with noisy prediction-based control","year":2016,"lang":"en","type":"article","venue":"Physica D Nonlinear Phenomena","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mathematics; Multiplicative noise; Multiplicative function; Invariant (physics); Interval (graph theory); Noise (video); Stability theory; Range (aeronautics); Stability (learning theory); Applied mathematics; Mathematical analysis; Combinatorics; Mathematical physics; Physics; Computer science; Quantum mechanics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001552398,0.0008769906,0.001055753,0.0005084292,0.0004096296,0.001553801,0.0009377603,0.001267305,0.001618968],"category_scores_gemma":[0.007693601,0.0004649482,0.0005866893,0.0002961428,0.001906006,0.0009185654,0.00216324,0.001298454,0.0001654804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000805874,"about_ca_system_score_gemma":0.0008695601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004815259,"about_ca_topic_score_gemma":0.002145685,"domain_scores_codex":[0.9993958,0.0002322752,0.00003336885,0.0001211747,0.0001488544,0.00006853664],"domain_scores_gemma":[0.997066,0.001878726,0.0003710917,0.0001240915,0.0004681108,0.00009211138],"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":[0.0002622239,0.0000635789,0.0006939441,0.0001510844,0.00007904807,0.00009690069,0.0002216358,0.9259505,0.005527054,0.05226394,0.0005405145,0.01414955],"study_design_scores_gemma":[0.00001545643,0.00003555756,0.00009988916,0.000006314561,0.0000045661,0.000005553715,0.000006439762,0.993524,0.0003413944,0.005842118,0.0001122891,0.000006508704],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.137561,0.0009203977,0.849382,0.001016384,0.0003083325,0.0000697488,0.00007622019,0.0002438662,0.01042206],"genre_scores_gemma":[0.9881472,0.0001867088,0.00717391,0.00006055406,0.00004913329,0.00006840022,0.00003933074,0.00002124054,0.004253461],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004815259,"threshold_uncertainty_score":0.009574473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02195623791772962,"score_gpt":0.2566650013043361,"score_spread":0.2347087633866065,"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."}}