{"id":"W4288029092","doi":"10.48550/arxiv.1911.01473","title":"Optimal local and remote controllers with unreliable uplink channels: An\\n elementary proof","year":2019,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Elementary proof; Conditional independence; Proof of concept; Independence (probability theory); Computer science; Telecommunications link; Direct proof; Argument (complex analysis); State (computer science); Linear programming; Control theory (sociology); Function (biology); Dynamic programming; Optimal control; Mathematics; Elementary function; Mathematical optimization; Control (management); Algorithm; Discrete mathematics; Telecommunications; Artificial intelligence; Programming language","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.002685542,0.001743141,0.001517818,0.000613989,0.000925295,0.001207044,0.002147639,0.001976018,0.008876035],"category_scores_gemma":[0.009055693,0.0009732503,0.001181353,0.0006521048,0.00387894,0.0037714,0.005260271,0.00447618,0.0006888808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00153978,"about_ca_system_score_gemma":0.002839077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003241061,"about_ca_topic_score_gemma":0.002424129,"domain_scores_codex":[0.9984137,0.0004431251,0.00004479106,0.0003293544,0.0005402633,0.0002288211],"domain_scores_gemma":[0.9952198,0.003076271,0.0004684351,0.0004437189,0.0005244926,0.0002672959],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00009565206,0.0001036711,0.0004440632,0.0003047456,0.0000586671,0.0003049388,0.0002921204,0.2978351,0.003118244,0.6755957,0.006830793,0.01501644],"study_design_scores_gemma":[0.00005657181,0.00009018131,0.0002942966,0.00004543384,0.00002101668,0.0001113412,0.00007717648,0.694469,0.001863559,0.2999346,0.003003177,0.00003368509],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01472356,0.0004381675,0.9683629,0.001420215,0.00008313772,0.00008685183,0.0002352553,0.0001635294,0.0144864],"genre_scores_gemma":[0.8534842,0.001409784,0.1311466,0.001091708,0.0004985738,0.0004491929,0.0003052395,0.0002100857,0.01140461],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008876035,"threshold_uncertainty_score":0.02969325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0196216132430714,"score_gpt":0.1612525740269287,"score_spread":0.1416309607838573,"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."}}