{"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":"50c999d0082c","filters":{"venue":"WSEAS TRANSACTIONS ON CIRCUITS AND SYSTEMS"}},"results":[{"id":"W3174320929","doi":"10.37394/23201.2021.20.13","title":"A Multicriteria, Bat Algorithm Approach for Computing the Range Limited Routing Problem for Electric Trucks","year":2021,"lang":"en","type":"article","venue":"WSEAS TRANSACTIONS ON CIRCUITS AND SYSTEMS","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"York University","funders":"","keywords":"Truck; Computer science; Transshipment (information security); Vehicle routing problem; Process (computing); Range (aeronautics); Metaheuristic; Sustainability; Analytic hierarchy process; Operations research; Routing (electronic design automation); Transport engineering; Algorithm; Engineering; Automotive engineering","authors":[{"name":"Julian Scott Yeomans","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02571538195576123,"gpt":0.2352956793368186,"spread":0.2095802973810574,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002974075,0.0001631806,0.0002269961,0.0000970995,0.0004345615,0.0001448689,0.0000706646,0.00009417005,0.000003822436],"category_scores_gemma":[0.00001111955,0.0001419188,0.0001123755,0.0004087226,0.00001830985,0.00008010199,5.557701e-7,0.0001508837,6.00838e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004656431,"about_ca_system_score_gemma":0.0000368047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000177049,"about_ca_topic_score_gemma":0.00001415788,"domain_scores_codex":[0.9989173,0.00003703737,0.0003970196,0.0002551369,0.0001178158,0.0002757309],"domain_scores_gemma":[0.9992568,0.0002491749,0.00004202957,0.0001777266,0.0002135319,0.00006067928],"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":[0.00003237817,0.0005660824,0.000204563,0.003035498,0.0008678782,0.000003554746,0.008265658,0.3531712,0.01989097,0.009214067,0.0002923825,0.6044558],"study_design_scores_gemma":[0.001168281,0.0000451825,0.0007279349,0.00006096059,0.0001032205,0.00002512643,0.001260971,0.9935215,0.0006359949,0.00002371023,0.002221684,0.0002054824],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008305619,0.0004129797,0.9885669,0.0000701721,0.0003894088,0.001483669,0.0002503183,0.0002238059,0.0002971233],"genre_scores_gemma":[0.994292,0.00002362773,0.004618901,0.00005286746,0.0001057713,0.0006059697,0.00009865894,0.00003935105,0.0001628124],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9859864,"threshold_uncertainty_score":0.5787281,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3167761760","doi":"10.37394/23201.2021.20.10","title":"Random Access in IoT Using Naïve Bayes Classification","year":2021,"lang":"en","type":"article","venue":"WSEAS TRANSACTIONS ON CIRCUITS AND SYSTEMS","topic":"IoT and Edge/Fog Computing","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":"Concordia University","funders":"","keywords":"Computer science; Random access; Bayes' theorem; Idle; Naive Bayes classifier; Transmission (telecommunications); Internet of Things; MATLAB; Machine learning; Artificial intelligence; Bayesian probability; Computer network; Support vector machine; Telecommunications; Embedded system","authors":[{"name":"Alhusein Almahjoub","is_ca":true},{"name":"Dongyu Qiu","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.09212672425841383,"gpt":0.305419650818833,"spread":0.2132929265604192,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003466487,0.0001319044,0.0002326619,0.0001901542,0.0002807034,0.0006171018,0.0002694691,0.00008495317,0.000003094483],"category_scores_gemma":[0.00001298495,0.0001292083,0.00006047759,0.0006030755,0.00002277922,0.0003417414,0.000010028,0.0001743957,0.000006573642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007972298,"about_ca_system_score_gemma":0.0001327912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001411428,"about_ca_topic_score_gemma":0.00001658729,"domain_scores_codex":[0.998603,0.0001836315,0.0003182433,0.0004250086,0.0002223708,0.0002477723],"domain_scores_gemma":[0.9992526,0.0001530217,0.0000740684,0.0003267419,0.000103035,0.00009056427],"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":[0.00005732032,0.001184669,0.01015978,0.00106507,0.0002729607,0.0003320065,0.009454319,0.07278731,0.02810796,0.01286771,0.0005665382,0.8631443],"study_design_scores_gemma":[0.001451875,0.000030148,0.01014272,0.0003455087,0.0000186105,0.0001518547,0.0002273931,0.9836555,0.001057335,0.0002187373,0.002372213,0.00032809],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1042575,0.0006109278,0.8885041,0.0001725262,0.004936669,0.0001921952,0.000001098061,0.00008064137,0.001244297],"genre_scores_gemma":[0.999205,0.00003083635,0.0002455675,0.00005586271,0.0002853568,0.0000153487,0.000001514922,0.000009858775,0.0001506526],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9108682,"threshold_uncertainty_score":0.5950727,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3184031043","doi":"10.37394/23201.2021.20.22","title":"Impact of Membrane Resistance on Width and Amplitude of Spikes in Different Injected Currents in One Spiking Neural Model","year":2021,"lang":"en","type":"article","venue":"WSEAS TRANSACTIONS ON CIRCUITS AND SYSTEMS","topic":"Advanced Memory and Neural Computing","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Stimulus (psychology); Time constant; Biological system; Neuron; Neuroscience; Amplitude; Axon; Physics; Membrane potential; Computer science; Chemistry; Control theory (sociology); Artificial intelligence; Biology; Engineering; Psychology; Optics; Electrical engineering","authors":[{"name":"Shima Pilehvari","is_ca":true},{"name":"Lei Zhang","is_ca":true},{"name":"René V. Mayorga","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04271329314185381,"gpt":0.2689149115197191,"spread":0.2262016183778653,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006585069,0.0001468196,0.0003653688,0.0001592268,0.00003194542,0.00001444685,0.00004188499,0.00005018915,0.000001932136],"category_scores_gemma":[0.00001043949,0.0001345095,0.00004926993,0.0002248187,0.00002113804,0.0000840419,0.000002084862,0.0002022203,7.392971e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005651757,"about_ca_system_score_gemma":0.00001285368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000283767,"about_ca_topic_score_gemma":0.000105683,"domain_scores_codex":[0.9991118,0.00005053189,0.0003447811,0.0001932055,0.0001314217,0.0001682796],"domain_scores_gemma":[0.9996248,0.0001107378,0.00004850518,0.0001336283,0.00002814899,0.00005421365],"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":[0.00003738363,0.0001395969,0.003174883,0.0006766946,0.00001889327,0.000006862997,0.0003876154,0.9136139,0.07833256,0.00009158973,2.21345e-7,0.003519829],"study_design_scores_gemma":[0.002874237,0.0002910678,0.1955377,0.004184489,0.00004595117,0.00002407684,0.000255971,0.755282,0.04076076,0.0002161065,0.000002203016,0.0005254884],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.985305,0.00079975,0.01347596,0.000004182942,0.0001057169,0.0001591609,0.00003018098,0.00002533123,0.00009470966],"genre_scores_gemma":[0.9997884,0.0001450886,0.00001253972,0.000001918738,0.00001128033,0.000008071151,0.00000259742,0.00001479618,0.00001527482],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1923628,"threshold_uncertainty_score":0.5485137,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}