{"meta":{"query_hash":"197f7ef1be67","filters":{"venue":"Journal of Automation and Intelligence"},"cohort_total":3,"direct_labels_cover":0,"predictions_cover":3,"exported":3,"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/197f7ef1be67","api":"https://metacan.xera.ac/api/v1/cohort?venue=Journal+of+Automation+and+Intelligence"},"results":[{"id":"W4383678337","doi":"10.1016/j.jai.2023.06.001","title":"Error reachable set based stabilization of switched linear systems with bounded peak disturbances","year":2023,"lang":"en","type":"article","venue":"Journal of Automation and Intelligence","topic":"Stability and Control of Uncertain Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; University of Victoria","keywords":"Bounded function; Control theory (sociology); Set (abstract data type); Mathematics; Computer science; Mathematical analysis; Control (management); Artificial intelligence","score_opus":0.02861417826252742,"score_gpt":0.26007958963257244,"score_spread":0.231465411370045,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4383678337","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":[0.061559945,0.00028199723,0.9348803,0.00008574476,0.00002637192,0.000023771277,0.000033229084,0.00026869666,0.002839941],"genre_scores_gemma":[0.98978007,0.00011533963,0.00878485,0.00001726843,0.0000082303395,0.000039285133,0.00004352941,0.000013122154,0.0011982649],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995857,0.000087936176,0.00002343982,0.00010515403,0.00013825136,0.0000595166],"domain_scores_gemma":[0.9994153,0.000307468,0.000113287235,0.00003566914,0.00010714983,0.00002122784],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050195114,0.00070404256,0.0005645757,0.00032441792,0.0002962634,0.0007537269,0.0006372523,0.0005143723,0.0009006921],"category_scores_gemma":[0.0011242148,0.00020447963,0.00041495444,0.00026786793,0.00067756895,0.0005762203,0.0007705952,0.0006072501,0.000112893904],"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":[0.00020194404,0.000027087694,0.0006236619,0.00015962981,0.00003997941,0.00015955418,0.0002006163,0.9441444,0.015464605,0.01597841,0.00037021752,0.02262979],"study_design_scores_gemma":[0.000007743736,0.000056067733,0.00017661089,0.0000057552106,0.0000064991063,0.000012323131,0.000016731814,0.9953512,0.0021092298,0.001999399,0.00025374646,0.000004671097],"about_ca_topic_score_codex":0.004085898,"about_ca_topic_score_gemma":0.0016637462,"teacher_disagreement_score":0.004085898,"about_ca_system_score_codex":0.00056145916,"about_ca_system_score_gemma":0.00050015893,"threshold_uncertainty_score":0.008124232},"labels":[],"label_agreement":null},{"id":"W4408569729","doi":"10.1016/j.jai.2025.03.002","title":"Fault-tolerant control for swarm systems: A geometric-based PDE planning approach","year":2025,"lang":"en","type":"article","venue":"Journal of Automation and Intelligence","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Science Foundation of Zhejiang Province; National Natural Science Foundation of China","keywords":"Swarm behaviour; Computer science; Control (management); Fault tolerance; Distributed computing; Control theory (sociology); Artificial intelligence","score_opus":0.0242219072127163,"score_gpt":0.29109770494001624,"score_spread":0.26687579772729997,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408569729","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":[0.0056250556,0.00033116707,0.99102026,0.0002980002,0.00004946396,0.000016706916,0.000014131054,0.00005566949,0.0025895745],"genre_scores_gemma":[0.8511005,0.0012847054,0.14229645,0.000211397,0.00018712525,0.00015226295,0.00009277544,0.00007769366,0.0045972154],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997553,0.0000638875,0.0000132430305,0.000053165906,0.000089708024,0.000024653338],"domain_scores_gemma":[0.9996518,0.00014560112,0.000075823824,0.000033016484,0.00006490419,0.000028904187],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047343757,0.00077170343,0.0006570641,0.00063289923,0.00032109412,0.00074152777,0.0010720111,0.0007586667,0.00096467533],"category_scores_gemma":[0.0010408906,0.00030548315,0.0007923224,0.00040661186,0.0011553917,0.000979977,0.0012083764,0.00085592474,0.00012873382],"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":[0.000014061397,0.000014680865,0.00023769241,0.00006431483,0.000023331886,0.00007070457,0.00008444155,0.91122085,0.0019456056,0.07092186,0.00047072096,0.014931738],"study_design_scores_gemma":[0.0000024827857,0.000024377814,0.000053122738,0.0000036619015,0.000003450763,0.000013382945,0.000010406756,0.98649514,0.00020835517,0.0125121,0.0006699796,0.0000035677863],"about_ca_topic_score_codex":0.0033225478,"about_ca_topic_score_gemma":0.0015156477,"teacher_disagreement_score":0.0033225478,"about_ca_system_score_codex":0.00093430805,"about_ca_system_score_gemma":0.0008430234,"threshold_uncertainty_score":0.006778896},"labels":[],"label_agreement":null},{"id":"W4412569800","doi":"10.1016/j.jai.2025.07.001","title":"Novel multi-agent action masked deep reinforcement learning for general industrial assembly lines balancing problems","year":2025,"lang":"en","type":"article","venue":"Journal of Automation and Intelligence","topic":"Assembly Line Balancing Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Reinforcement learning; Reinforcement; Action (physics); Computer science; Artificial intelligence; Psychology; Social psychology; Physics","score_opus":0.04231911180534331,"score_gpt":0.295925254166449,"score_spread":0.2536061423611057,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412569800","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":[0.061431624,0.00047979015,0.9308595,0.00049239805,0.00006549626,0.00009038767,0.000058911697,0.00050307333,0.006018795],"genre_scores_gemma":[0.93627477,0.00011686111,0.06003915,0.00016981331,0.000027808854,0.00013331711,0.00006791661,0.000036851987,0.0031334828],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99973243,0.000080564285,0.000012425392,0.000057949303,0.00005237575,0.00006435978],"domain_scores_gemma":[0.9993198,0.00038796672,0.00010184328,0.00003383091,0.00008510088,0.0000714792],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009036125,0.00088516745,0.0010227491,0.00029517768,0.000322833,0.0007106548,0.0013125476,0.0012234767,0.002245488],"category_scores_gemma":[0.0017079854,0.00046936268,0.00040349268,0.00026326894,0.0008174555,0.00063826796,0.0012190562,0.0012446708,0.00021991164],"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":[0.000033393888,0.000032078595,0.00030302707,0.000026838015,0.000012675857,0.000041771593,0.00001723915,0.9877908,0.0004245504,0.0026164562,0.00029079113,0.008410333],"study_design_scores_gemma":[0.0000040853624,0.000007957969,0.0000147218225,0.0000012400027,9.429575e-7,0.0000015715636,0.0000010852837,0.9994586,0.000035102494,0.00042679807,0.000047113786,7.2890646e-7],"about_ca_topic_score_codex":0.007774178,"about_ca_topic_score_gemma":0.0071511907,"teacher_disagreement_score":0.007774178,"about_ca_system_score_codex":0.0009288122,"about_ca_system_score_gemma":0.0013628976,"threshold_uncertainty_score":0.015457869},"labels":[],"label_agreement":null}]}