{"meta":{"query_hash":"4e211954e896","filters":{"venue":"Journal of Institute of Control Robotics and Systems"},"cohort_total":2,"direct_labels_cover":0,"predictions_cover":2,"exported":2,"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/4e211954e896","api":"https://metacan.xera.ac/api/v1/cohort?venue=Journal+of+Institute+of+Control+Robotics+and+Systems"},"results":[{"id":"W1971952044","doi":"10.5302/j.icros.2012.18.6.579","title":"Incremental Displacement Estimation Algorithm for Real-Time Structural Displacement Monitoring","year":2012,"lang":"en","type":"article","venue":"Journal of Institute of Control Robotics and Systems","topic":"Structural Health Monitoring Techniques","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":"Kootenay Association for Science & Technology","funders":"","keywords":"Displacement (psychology); Algorithm; Computation; Extended Kalman filter; Rotation (mathematics); Kalman filter; Computer science; Iterative method; Mathematics; Computer vision; Artificial intelligence","score_opus":0.016419872027915332,"score_gpt":0.2873047928468003,"score_spread":0.270884920818885,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1971952044","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":[0.0051537906,0.00008758294,0.99413294,0.000016053365,0.000016883041,0.000013046664,0.0000073963706,0.00024261702,0.00032977952],"genre_scores_gemma":[0.3348691,0.00019699635,0.66213465,0.0000468289,0.000037645485,0.00011739822,0.00009848479,0.00004224873,0.002456561],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997867,0.000031249703,0.0000119997885,0.000050350918,0.00010170854,0.000018000781],"domain_scores_gemma":[0.9997198,0.000103104496,0.000040209452,0.000026018432,0.000099863704,0.00001104665],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025450948,0.00036222368,0.00032234736,0.0004363833,0.00017740125,0.00027337478,0.0007551803,0.00040675027,0.001157381],"category_scores_gemma":[0.0009214784,0.00018636503,0.0002593325,0.00026754072,0.00020326219,0.0004898931,0.0003816621,0.0004429188,0.0003640328],"study_design_candidate":"bench_or_experimental","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":[0.00017934924,0.00005517162,0.0015305578,0.00014562425,0.000035322897,0.00009592296,0.00013555613,0.12407857,0.06854366,0.0053619626,0.0013989169,0.7984393],"study_design_scores_gemma":[0.000019693174,0.000115047704,0.001010884,0.00000922132,0.000014312818,0.00012624581,0.000022856751,0.9789876,0.015589649,0.0011393933,0.0029473382,0.000017749491],"about_ca_topic_score_codex":0.0014408921,"about_ca_topic_score_gemma":0.0016721905,"teacher_disagreement_score":0.0014408921,"about_ca_system_score_codex":0.00021110878,"about_ca_system_score_gemma":0.00038024614,"threshold_uncertainty_score":0.0038717985},"labels":[],"label_agreement":null},{"id":"W2068354092","doi":"10.5302/j.icros.2013.13.9024","title":"Depth Controller Design using Fuzzy Gain Scheduling Method of a Autonomous Underwater Vehicle - Verification by HILS","year":2013,"lang":"en","type":"article","venue":"Journal of Institute of Control Robotics and Systems","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","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":"Nexen (Canada)","funders":"","keywords":"Gain scheduling; Fuzzy logic; Control theory (sociology); Scheduling (production processes); Computer science; Underwater; Overshoot (microwave communication); Control engineering; Real-time computing; Engineering; Mathematics; Control (management); Mathematical optimization; Artificial intelligence","score_opus":0.03398075959391969,"score_gpt":0.25694916035264614,"score_spread":0.22296840075872645,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2068354092","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":[0.020238308,0.000087104505,0.97649616,0.000043810844,0.00003561688,0.000056718105,0.000011741167,0.00064975466,0.0023807336],"genre_scores_gemma":[0.8586603,0.00008373609,0.13932121,0.00003567888,0.000019753155,0.00007669516,0.000023117622,0.00003812971,0.0017414619],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997545,0.000026808768,0.000012808234,0.00005058455,0.00013550147,0.00001989883],"domain_scores_gemma":[0.99979097,0.000057197776,0.000031335818,0.00002110358,0.0000882888,0.00001113578],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030979278,0.0003307964,0.00026833877,0.000354472,0.00029930403,0.00045270773,0.00060505676,0.0003109806,0.0016387398],"category_scores_gemma":[0.0005619901,0.00016887306,0.00021198075,0.00010476893,0.00030392114,0.00033721924,0.00031158156,0.00038330894,0.00021771314],"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":[0.0002836859,0.00009455862,0.0012318001,0.00033018904,0.00006329353,0.00028149554,0.0003965981,0.3745744,0.27191243,0.012088477,0.001232485,0.33751053],"study_design_scores_gemma":[0.00006373279,0.0002182691,0.0005112702,0.000017077627,0.00002478173,0.00010080708,0.00003487749,0.9414733,0.052718915,0.0012689068,0.0035508687,0.000017271439],"about_ca_topic_score_codex":0.002708664,"about_ca_topic_score_gemma":0.0022681614,"teacher_disagreement_score":0.002708664,"about_ca_system_score_codex":0.00036520127,"about_ca_system_score_gemma":0.000577986,"threshold_uncertainty_score":0.005482137},"labels":[],"label_agreement":null}]}