{"meta":{"query_hash":"ae225298eebb","filters":{"venue":"Control Systems and Optimization Letters"},"cohort_total":4,"direct_labels_cover":0,"predictions_cover":4,"exported":4,"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/ae225298eebb","api":"https://metacan.xera.ac/api/v1/cohort?venue=Control+Systems+and+Optimization+Letters"},"results":[{"id":"W4391551870","doi":"10.59247/csol.v1i1.13","title":"Extended Kalman Filter Design to Estimate the Attitude of the Nanosatellite System Using Magnetometer","year":2023,"lang":"en","type":"article","venue":"Control Systems and Optimization Letters","topic":"Inertial Sensor and Navigation","field":"Engineering","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":"Centennial College","funders":"","keywords":"Magnetometer; Kalman filter; Control theory (sociology); Computer science; Physics; Artificial intelligence; Magnetic field","score_opus":0.013869130754827754,"score_gpt":0.23471583215622127,"score_spread":0.2208467014013935,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391551870","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0042480505,0.00017463017,0.99434507,0.000055806267,0.00003711041,0.000021583995,0.000028890374,0.00024394755,0.0008448723],"genre_scores_gemma":[0.73947895,0.0010991073,0.25061813,0.00012793508,0.00011656389,0.00045975202,0.00039423807,0.000085568114,0.007619693],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997328,0.00005282287,0.000020303052,0.00008076832,0.00008499692,0.000028402117],"domain_scores_gemma":[0.9996301,0.00012507095,0.000051540617,0.00002487725,0.00015809528,0.000010187039],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005851491,0.00059926504,0.0007645043,0.00029447468,0.00032870582,0.0006483121,0.00071750034,0.0006875952,0.0017589662],"category_scores_gemma":[0.001288469,0.0003372488,0.0004907126,0.00033744995,0.0003617254,0.0007885912,0.00046834722,0.0008577245,0.00057647686],"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":[0.0001678908,0.000035410987,0.0013194674,0.00022119694,0.0000870893,0.000056481942,0.000114277216,0.87668633,0.008397767,0.006606105,0.0013524207,0.10495557],"study_design_scores_gemma":[0.000012230157,0.00004972197,0.00034275913,0.000012440158,0.0000173387,0.000011836342,0.000009940222,0.9953434,0.0018939783,0.0008086922,0.0014880148,0.00000959578],"about_ca_topic_score_codex":0.012189091,"about_ca_topic_score_gemma":0.009270163,"teacher_disagreement_score":0.012189091,"about_ca_system_score_codex":0.0005686748,"about_ca_system_score_gemma":0.0010362797,"threshold_uncertainty_score":0.024236262},"labels":[],"label_agreement":null},{"id":"W4404607589","doi":"10.59247/csol.v2i2.124","title":"The Role of IoT and Artificial Intelligence in Advancing Nanotechnology: A Brief Review","year":2024,"lang":"en","type":"review","venue":"Control Systems and Optimization Letters","topic":"Molecular Communication and Nanonetworks","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Internet of Things; Big data; Computer science; Data science; Analytics; Nanotechnology; Artificial intelligence; Systems engineering; Engineering; Computer security; Materials science","score_opus":0.009404439527710633,"score_gpt":0.242017431247636,"score_spread":0.23261299171992536,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404607589","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000942874,0.99645895,0.00020117889,0.00050886953,0.00050017226,0.000005864505,0.000010892536,0.0000066219345,0.0022131356],"genre_scores_gemma":[0.0005127757,0.9981018,0.00020428041,0.0002600645,0.00039238206,0.000007070985,0.000011691997,0.0000014437269,0.00050855795],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997451,0.00004650793,0.000032213135,0.000042049407,0.00010499721,0.000029231904],"domain_scores_gemma":[0.999373,0.0003870413,0.00006116873,0.000015476957,0.00012203245,0.00004136851],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052847055,0.00097602484,0.00091195485,0.0033008845,0.00046971717,0.0013819488,0.00070511724,0.0016682422,0.0037527422],"category_scores_gemma":[0.0008627557,0.00038901693,0.00050316745,0.0036932547,0.0006133231,0.0025683136,0.00070661027,0.0020703617,0.0019872086],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047398204,0.000117168565,0.00027099214,0.02911759,0.00007785045,0.0003398551,0.00023732102,0.00084901165,0.001983959,0.03021908,0.07306219,0.8636776],"study_design_scores_gemma":[0.0000045370743,0.0000637449,0.00042546683,0.004841767,0.000042933163,0.000584813,0.00008346656,0.000120962184,0.00019221977,0.004122165,0.9894996,0.000018212415],"about_ca_topic_score_codex":0.001478882,"about_ca_topic_score_gemma":0.0023489613,"teacher_disagreement_score":0.0037527422,"about_ca_system_score_codex":0.00085065403,"about_ca_system_score_gemma":0.0016887224,"threshold_uncertainty_score":0.012554169},"labels":[],"label_agreement":null},{"id":"W4405997808","doi":"10.59247/csol.v2i3.128","title":"Potential Applications and Limitations of Artificial Intelligence in Remote Sensing Data Interpretation: A Case Study","year":2024,"lang":"en","type":"article","venue":"Control Systems and Optimization Letters","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Interpretation (philosophy); Computer science; Artificial intelligence; Data science","score_opus":0.030474710827986785,"score_gpt":0.27437234463981647,"score_spread":0.2438976338118297,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405997808","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.27545425,0.040449172,0.51011103,0.07735168,0.0010966238,0.00093515794,0.00093061884,0.00086797256,0.09280345],"genre_scores_gemma":[0.67937595,0.020334432,0.28884152,0.0032641809,0.0007130496,0.00045871493,0.0004884467,0.00026317776,0.0062605096],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.982496,0.011752473,0.0008302836,0.00089850137,0.003516653,0.0005060811],"domain_scores_gemma":[0.95219755,0.039209396,0.0015096203,0.0030535096,0.0034933372,0.00053671276],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.019436715,0.0009976152,0.0008323443,0.0029624924,0.002309529,0.005703276,0.0025530597,0.004718092,0.0019625085],"category_scores_gemma":[0.026395064,0.00047414054,0.0011844542,0.004076703,0.0052460534,0.005797687,0.0036547587,0.0035860501,0.0005449714],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00068169745,0.0006193634,0.062300276,0.003373288,0.00029099407,0.028914627,0.01580361,0.07267251,0.006197043,0.31987706,0.032178953,0.45709065],"study_design_scores_gemma":[0.000164647,0.00086955004,0.018989298,0.0047858157,0.00028100368,0.030866912,0.0276694,0.19747333,0.022439029,0.2588079,0.4371917,0.00046141003],"about_ca_topic_score_codex":0.005033763,"about_ca_topic_score_gemma":0.007673285,"teacher_disagreement_score":0.019436715,"about_ca_system_score_codex":0.0022889583,"about_ca_system_score_gemma":0.0019861148,"threshold_uncertainty_score":0.10279244},"labels":[],"label_agreement":null},{"id":"W4406001729","doi":"10.59247/csol.v2i3.165","title":"Hybrid Adaptive Backstepping Sliding Mode Controller of Permanent Magnet Linear Synchronous Motors","year":2024,"lang":"en","type":"article","venue":"Control Systems and Optimization Letters","topic":"Sensorless Control of Electric Motors","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"College Ahuntsic","funders":"","keywords":"Control theory (sociology); Backstepping; Permanent magnet synchronous motor; Permanent magnet synchronous generator; Magnet; Mode (computer interface); Linear motor; Controller (irrigation); Synchronous motor; Computer science; Control engineering; Engineering; Physics; Nonlinear system; Adaptive control; Electrical engineering; Artificial intelligence; Biology","score_opus":0.0058196414613161385,"score_gpt":0.19081244841362316,"score_spread":0.18499280695230702,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406001729","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06475361,0.00065412273,0.9270776,0.00010366587,0.00014284691,0.000060323546,0.000018231243,0.00076805067,0.0064215334],"genre_scores_gemma":[0.97255313,0.00018548573,0.02399034,0.000057759014,0.00003852507,0.00006546982,0.000023303635,0.000010787373,0.0030752441],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998271,0.000029211562,0.00001096964,0.000035804886,0.00007978548,0.00001727634],"domain_scores_gemma":[0.99984443,0.000049506074,0.000026530959,0.000015194934,0.000055146334,0.0000090896265],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026401927,0.00040499252,0.0003162041,0.00018936626,0.00018703847,0.00041195037,0.0006280617,0.00042881054,0.0010375062],"category_scores_gemma":[0.00041040662,0.0001292455,0.00025350854,0.0001754355,0.00028386927,0.00028353685,0.00031632892,0.00034832687,0.00017613595],"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":[0.00047284027,0.00014532932,0.0014715194,0.00067408464,0.00013240428,0.0006526238,0.00039202115,0.5521486,0.11301905,0.012408224,0.0020802214,0.31640315],"study_design_scores_gemma":[0.000032994205,0.0003690096,0.0004468096,0.000011502274,0.000014618682,0.000065642285,0.000013874311,0.9903509,0.00613256,0.00069134065,0.0018610385,0.000009592471],"about_ca_topic_score_codex":0.0016979744,"about_ca_topic_score_gemma":0.0012759696,"teacher_disagreement_score":0.0016979744,"about_ca_system_score_codex":0.00015464639,"about_ca_system_score_gemma":0.00023944498,"threshold_uncertainty_score":0.003470838},"labels":[],"label_agreement":null}]}