{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":3,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":3,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"cb82075101fe","filters":{"venue":"Advanced Control for Applications"}},"results":[{"id":"W2996728934","doi":"10.1002/adc2.24","title":"Disturbance observer‐based nonlinear control of a quadrotor UAV","year":2019,"lang":"en","type":"article","venue":"Advanced Control for Applications","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Backstepping; Control theory (sociology); Nonlinear system; Tracking error; Tracking (education); Position tracking; Computer science; Bounded function; Observer (physics); Trajectory; Torque; Position (finance); Control engineering; Control (management); Engineering; Mathematics; Adaptive control; Actuator; Artificial intelligence; Physics","authors":[{"name":"Amir Moeini","is_ca":true},{"name":"Alan F. Lynch","is_ca":true},{"name":"Qing Zhao","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.007169930881836984,"gpt":0.2302259058166518,"spread":0.2230559749348148,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001332987,0.0002899825,0.0002736319,0.0001102562,0.0001593504,0.0003750199,0.000317001,0.000238747,0.0008579412],"category_scores_gemma":[0.0002235994,0.000114183,0.0001414081,0.00008920623,0.0002678199,0.0001694686,0.0002864952,0.0002742266,0.000137412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002211712,"about_ca_system_score_gemma":0.0002444518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004100095,"about_ca_topic_score_gemma":0.002187215,"domain_scores_codex":[0.9999343,0.00001063588,0.000003817536,0.00001760893,0.00002499485,0.000008537377],"domain_scores_gemma":[0.9999263,0.00001576759,0.00001616985,0.00000678064,0.00002797955,0.00000691402],"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":[0.0004601983,0.00009998188,0.001477028,0.0002911678,0.00007182727,0.0008664906,0.0002144444,0.7192874,0.183803,0.008542232,0.001456568,0.0834297],"study_design_scores_gemma":[0.00002274479,0.0001346488,0.0003620477,0.000004314891,0.000006399946,0.00002610828,0.000007360429,0.9944394,0.003932088,0.000183828,0.0008767667,0.0000042917],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.134642,0.0004371285,0.8567337,0.0001643698,0.0002129222,0.00004951971,0.0000474649,0.0004772505,0.007235646],"genre_scores_gemma":[0.9864137,0.0001225127,0.01053494,0.00002698673,0.0000139526,0.00002720977,0.00003144191,0.00000841156,0.002820802],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004100095,"threshold_uncertainty_score":0.008152425,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4229372613","doi":"10.1002/adc2.105","title":"Towards integrated wind farm control: Interfacing farm flow and power plant controls","year":2022,"lang":"en","type":"article","venue":"Advanced Control for Applications","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"123 Certification (Canada)","funders":"H2020 Energy; Horizon 2020 Framework Programme; Norges Forskningsråd; European Commission","keywords":"Interfacing; Aerodynamics; Turbine; Wind power; Control (management); Grid; Control system; Wake; Control engineering; Engineering; Electric power system; Power (physics); Computer science; Electrical engineering; Aerospace engineering; Geography; Physics","authors":[{"name":"Konstanze Kölle","is_ca":false},{"name":"Paula B. Garcia‐Rosa","is_ca":false},{"name":"Vlaho Petrović‬","is_ca":false},{"name":"Irene Eguinoa","is_ca":false},{"name":"Til Kristian Vrana","is_ca":false},{"name":"Qian Long","is_ca":false},{"name":"Vasilis Pettas","is_ca":false},{"name":"Abhinav Anand","is_ca":false},{"name":"Thanasis Barlas","is_ca":false},{"name":"Nicolaos Antonio Cutululis","is_ca":false},{"name":"Andreas Manjock","is_ca":true},{"name":"John Olav Tande","is_ca":false},{"name":"Renzo Ruisi","is_ca":false},{"name":"Ervin Bossanyi","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.006300790415187606,"gpt":0.2260652792516697,"spread":0.2197644888364821,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008968269,0.0008794704,0.0005791368,0.0003922324,0.0003182197,0.001797486,0.0008375751,0.0009265812,0.002871246],"category_scores_gemma":[0.0009476828,0.0003481315,0.0003990896,0.0003622593,0.0008367347,0.001878947,0.001504651,0.001724218,0.0006745215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002760742,"about_ca_system_score_gemma":0.0008034016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001394882,"about_ca_topic_score_gemma":0.001076896,"domain_scores_codex":[0.9993772,0.0001330402,0.00003858133,0.0000959282,0.0002881736,0.00006708437],"domain_scores_gemma":[0.9996287,0.00007981218,0.00003930657,0.0000630406,0.0001550301,0.00003415236],"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":[0.0002577648,0.0005981857,0.001344683,0.0005513229,0.0001239539,0.0006293231,0.000711307,0.3786083,0.08206111,0.212111,0.004063101,0.31894],"study_design_scores_gemma":[0.00005837101,0.0004063335,0.0004613436,0.0001380004,0.00003719857,0.0001101283,0.0001120467,0.9291404,0.0104638,0.04339466,0.01565076,0.00002690451],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008730026,0.0003571107,0.9833929,0.0001923976,0.000127211,0.00007831099,0.00001280858,0.0004133015,0.006695998],"genre_scores_gemma":[0.6700774,0.001128208,0.3199739,0.0002939338,0.0003026461,0.0002688329,0.0001035064,0.0001379956,0.007713528],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002871246,"threshold_uncertainty_score":0.009605289,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4413240215","doi":"10.1002/adc2.70026","title":"Artificial Neural Networks and Experimental Data Analysis‐Based Biomass Combustion Machine's Dynamical Model Identification","year":2025,"lang":"en","type":"article","venue":"Advanced Control for Applications","topic":"Meat and Animal Product Quality","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Computer science; Multilayer perceptron; Artificial neural network; Inverse; Combustion; Dimension (graph theory); Machine learning; Test data; Artificial intelligence; Perceptron; Mean squared error; Recurrent neural network; Experimental data; Mathematics; Statistics","authors":[{"name":"Mouhamadou Mountakha Ndao","is_ca":true},{"name":"Nadia Ghazzali","is_ca":true},{"name":"Nadjet Zioui","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03438501631485746,"gpt":0.3174673387112561,"spread":0.2830823223963986,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001220944,0.0007316498,0.0004394907,0.000596214,0.0002014894,0.0005449391,0.0004685753,0.0006488409,0.0008312481],"category_scores_gemma":[0.003831979,0.0002615726,0.0005042583,0.0005035686,0.0002835812,0.0006515973,0.0002863838,0.0006759852,0.0001871744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006673666,"about_ca_system_score_gemma":0.0005044434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00956443,"about_ca_topic_score_gemma":0.005465261,"domain_scores_codex":[0.9996153,0.0001417449,0.00003527715,0.00007697057,0.0001064032,0.00002431809],"domain_scores_gemma":[0.9986194,0.0008367088,0.0001484953,0.00008762801,0.0002914712,0.00001629882],"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":[0.00008104829,0.00007461267,0.003011768,0.00008340307,0.00004551634,0.00004947541,0.00003811652,0.962233,0.004926909,0.0005549951,0.0002245301,0.0286766],"study_design_scores_gemma":[0.000001087809,0.00000919597,0.000446489,0.000002802946,0.000002205366,0.000002607658,0.000002568226,0.9982462,0.001123987,0.0001129186,0.00004702003,0.000002884636],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5531651,0.0005403362,0.439947,0.000295483,0.0001128069,0.0001039565,0.0004459733,0.001533047,0.003856124],"genre_scores_gemma":[0.9828151,0.00006652989,0.01638619,0.0000149615,0.000006346985,0.0000526229,0.0001757308,0.00001814588,0.0004642938],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00956443,"threshold_uncertainty_score":0.01901752,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}