{"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":"8061c83c766a","filters":{"venue":"Proceedings of International Conference on Intelligent Unmanned Systems"}},"results":[{"id":"W2604359924","doi":"10.21535/proicius.2014.v10.245","title":"Using RGB Information to Improve NDT Distribution Generation and Registration Convergence","year":2014,"lang":"en","type":"article","venue":"Proceedings of International Conference on Intelligent Unmanned Systems","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Artificial intelligence; Nondestructive testing; Computer vision; Range (aeronautics); Convergence (economics); Key (lock); Engineering","authors":[{"name":"James Servos","is_ca":true},{"name":"Steven L. Waslander","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0404488800332439,"gpt":0.2576479170060437,"spread":0.2171990369727998,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009595924,0.001080022,0.0008951076,0.002128747,0.0006178115,0.001447635,0.001329089,0.0006380703,0.003528034],"category_scores_gemma":[0.004536799,0.0005992782,0.000963182,0.002005415,0.0005658948,0.00157724,0.001940337,0.001244748,0.002408169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009974958,"about_ca_system_score_gemma":0.001338144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006579345,"about_ca_topic_score_gemma":0.008325831,"domain_scores_codex":[0.9992531,0.00009380024,0.00004130883,0.0001818329,0.0003372447,0.00009267155],"domain_scores_gemma":[0.9986894,0.0001942512,0.00009453938,0.0004065009,0.0005697171,0.00004576057],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002105838,0.0001479185,0.003346134,0.00009681972,0.00005196208,0.00009814952,0.00019373,0.2377085,0.04085851,0.005297101,0.005066135,0.7069244],"study_design_scores_gemma":[0.0000271704,0.00003065436,0.0009200934,0.000007392019,0.00001245877,0.00009048927,0.00004625228,0.9660345,0.02636594,0.002614661,0.003828051,0.00002241363],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009883382,0.00004603949,0.9869412,0.00007472077,0.0000539749,0.00003205883,0.00005886025,0.002033794,0.0008760723],"genre_scores_gemma":[0.2405239,0.0001227442,0.7550406,0.00009893567,0.00004293148,0.00009661554,0.000727978,0.001167322,0.002179073],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006579345,"threshold_uncertainty_score":0.01308209,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2613393281","doi":"10.21535/proicius.2014.v10.289","title":"Development of Multi-Purpose Reconfigurable Engineering Flight Simulator at Ryerson University","year":2014,"lang":"en","type":"article","venue":"Proceedings of International Conference on Intelligent Unmanned Systems","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Cockpit; Flight simulator; Flight management system; Flight training; Simulation; Engineering; Reconfigurability; Overhead (engineering); Systems engineering; Computer science; Aerospace engineering; Operating system","authors":[{"name":"Ohyun Kwon","is_ca":false},{"name":"Joon Chung","is_ca":false},{"name":"Dong‐Ho Song","is_ca":false},{"name":"Hyeong-Uk Park","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1355181023330491,"gpt":0.3435605183921758,"spread":0.2080424160591267,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005460047,0.0004090854,0.000290357,0.0004403417,0.0001970771,0.0003456387,0.0007119522,0.0002737817,0.004760788],"category_scores_gemma":[0.0006674757,0.000260179,0.0004213104,0.0001652037,0.0001286043,0.000469014,0.000591905,0.0005146124,0.001725732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003376361,"about_ca_system_score_gemma":0.0009763959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00215668,"about_ca_topic_score_gemma":0.002817457,"domain_scores_codex":[0.9997277,0.00005253308,0.00001714753,0.00003498386,0.0001328744,0.00003472221],"domain_scores_gemma":[0.9995829,0.00007223975,0.00002552956,0.00008706551,0.0001570533,0.00007525944],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005667121,0.0006165019,0.01950457,0.0004516444,0.000129206,0.0008521417,0.0009047129,0.1863967,0.2480824,0.01109813,0.01986398,0.5115333],"study_design_scores_gemma":[0.00025837,0.001944563,0.01629428,0.0001504418,0.0001061783,0.001067888,0.0002617163,0.5343391,0.1693907,0.001301496,0.2746942,0.0001910483],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2619451,0.0004837918,0.6858351,0.0003031915,0.0001722095,0.001050103,0.001070217,0.01372104,0.03541926],"genre_scores_gemma":[0.4650966,0.0007185237,0.5045347,0.0001244016,0.00002981968,0.0007100772,0.00244884,0.000871943,0.02546515],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004760788,"threshold_uncertainty_score":0.01592648,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2603146773","doi":"10.21535/proicius.2014.v10.242","title":"Tactic Switching For Multiple UAV Teams via Model Predictive Control","year":2014,"lang":"en","type":"article","venue":"Proceedings of International Conference on Intelligent Unmanned Systems","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Model predictive control; Robustness (evolution); Computer science; Control (management); Control engineering; Stability (learning theory); Control theory (sociology); Linearization; Engineering; Nonlinear system; Artificial intelligence; Machine learning","authors":[{"name":"Ahmed T. Hafez","is_ca":false},{"name":"Mohamad Iskandarani","is_ca":true},{"name":"Sidney Givigi","is_ca":true},{"name":"Shahram Yousefi","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02763626728957999,"gpt":0.2664549970633603,"spread":0.2388187297737804,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005540755,0.0006155537,0.0006254179,0.000282671,0.0005206386,0.0007524073,0.0007968507,0.0005940625,0.001390392],"category_scores_gemma":[0.001157445,0.0003207551,0.000512182,0.0002496092,0.0006416499,0.0005081897,0.000997599,0.0009249388,0.0001797022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005520615,"about_ca_system_score_gemma":0.0008170794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007321062,"about_ca_topic_score_gemma":0.005022854,"domain_scores_codex":[0.9996865,0.00006939128,0.00001183338,0.00006997849,0.000104249,0.00005813029],"domain_scores_gemma":[0.9995427,0.0001853,0.0001043938,0.00004730108,0.00008080057,0.00003956475],"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":[0.000042063,0.00003915751,0.0002730476,0.00002672241,0.00001310766,0.00008036569,0.00006012159,0.9755871,0.002533369,0.004044281,0.0003017937,0.01699889],"study_design_scores_gemma":[0.000004803969,0.00002066903,0.00003439046,0.000001217352,0.00000174336,0.00000414898,0.000003829517,0.9988304,0.0001966321,0.0008133756,0.00008735505,0.000001343529],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05832949,0.000180406,0.9333832,0.0001679654,0.00005809718,0.00006077793,0.00002049057,0.0004021458,0.00739749],"genre_scores_gemma":[0.9799253,0.00007014371,0.01821,0.00003028359,0.00001441348,0.00007849103,0.00002510816,0.00001297625,0.001633365],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007321062,"threshold_uncertainty_score":0.01455688,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}