{"meta":{"query_hash":"6be8a452e7dc","filters":{"venue":"WSEAS TRANSACTIONS ON COMPUTERS"},"cohort_total":7,"direct_labels_cover":0,"predictions_cover":7,"exported":7,"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/6be8a452e7dc","api":"https://metacan.xera.ac/api/v1/cohort?venue=WSEAS+TRANSACTIONS+ON+COMPUTERS"},"results":[{"id":"W3120907260","doi":"10.37394/23205.2020.19.30","title":"Perceptions of Business Students toward Online Education before and in Transition Period of COVID-19","year":2021,"lang":"en","type":"article","venue":"WSEAS TRANSACTIONS ON COMPUTERS","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; Perception; Online learning; Psychology; Transition (genetics); Period (music); Mathematics education; Medical education; Higher education; Medicine; Computer science; Multimedia; Political science; Chemistry","score_opus":0.015334529088866738,"score_gpt":0.31098502948043555,"score_spread":0.2956505003915688,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3120907260","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3700957,0.000028588962,0.62310946,0.0065091066,0.0001467115,0.0000587957,0.000019619785,0.000025948784,0.0000060787484],"genre_scores_gemma":[0.9700534,0.000070707574,0.029452497,0.00031324258,0.000022223136,0.0000039733413,0.00003166643,0.000006354649,0.000045955683],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99901366,0.00009357363,0.00026910816,0.0002662162,0.00024587207,0.00011159731],"domain_scores_gemma":[0.9993613,0.000043744763,0.00006816547,0.0002410263,0.00018068012,0.00010508735],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010119662,0.000103745726,0.0001966959,0.00027212736,0.00007071947,0.00003985395,0.00023289505,0.00005412963,0.000013462376],"category_scores_gemma":[0.00001370637,0.000112087284,0.00007008523,0.0008054608,0.00006545105,0.00017124023,0.000009854407,0.00014875263,9.440583e-7],"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":[0.000080950216,0.009073436,0.014170701,0.0009925376,0.00015922643,0.000038536764,0.031992305,0.6378389,0.0019324112,0.00192195,0.000067909146,0.3017311],"study_design_scores_gemma":[0.003443622,0.0006020671,0.43572816,0.00095926516,0.00015739934,0.00020406926,0.008668351,0.54659534,0.00053928926,0.0019348,0.000524131,0.0006435011],"about_ca_topic_score_codex":0.000083076804,"about_ca_topic_score_gemma":0.00017436438,"teacher_disagreement_score":0.5999577,"about_ca_system_score_codex":0.00006445531,"about_ca_system_score_gemma":0.0005067355,"threshold_uncertainty_score":0.45707867},"labels":[],"label_agreement":null},{"id":"W3137652598","doi":"10.37394/23205.2020.19.22","title":"Data Level Approach for Multiclass Imbalance Financial Data","year":2020,"lang":"en","type":"article","venue":"WSEAS TRANSACTIONS ON COMPUTERS","topic":"Imbalanced Data Classification Techniques","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":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Oversampling; Artificial intelligence; Resampling; Computer science; Naive Bayes classifier; Machine learning; Decision tree; Logistic regression; Random forest; Classifier (UML); Overfitting; C4.5 algorithm; Support vector machine; Data mining; Artificial neural network; Bandwidth (computing)","score_opus":0.24476872946470218,"score_gpt":0.32461200277031477,"score_spread":0.07984327330561258,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3137652598","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000010273522,0.000025174822,0.98764855,0.005081265,0.0003967576,0.0006820606,0.005203651,0.0008458855,0.00010639463],"genre_scores_gemma":[0.11327002,0.00002094191,0.8817882,0.0030778018,0.00015954163,0.00007705583,0.0015478915,0.000024623976,0.00003395489],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99735427,0.00007401056,0.00036036177,0.0014832746,0.00035402863,0.0003740619],"domain_scores_gemma":[0.99527067,0.00020521766,0.00012637649,0.004082572,0.00009657666,0.00021859235],"candidate_categories":["metaepi_narrow","open_science"],"consensus_categories":[],"category_scores_codex":[0.00031294354,0.00024865175,0.00026545135,0.00009540708,0.00027260865,0.00024198632,0.0076260143,0.00010223082,0.000002914667],"category_scores_gemma":[0.000085405314,0.00026108802,0.00006380454,0.00054461043,0.00008471946,0.0015907849,0.00025537715,0.00028970602,0.000022353504],"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":[0.00019971868,0.001160178,0.00004164072,0.00024138685,0.00015502231,0.000011982695,0.0005908444,0.012763695,0.0014490876,0.016395811,0.2461103,0.7208803],"study_design_scores_gemma":[0.0006156806,0.00009736947,0.0002499892,0.000015315196,0.000016209417,0.000005372975,0.000009008109,0.939724,0.00093537936,0.00008721235,0.05795787,0.00028659598],"about_ca_topic_score_codex":0.000010085692,"about_ca_topic_score_gemma":0.00000502782,"teacher_disagreement_score":0.9269603,"about_ca_system_score_codex":0.000054094297,"about_ca_system_score_gemma":0.00020536028,"threshold_uncertainty_score":0.99998415},"labels":[],"label_agreement":null},{"id":"W3138223772","doi":"10.37394/23205.2020.19.28","title":"Proposing a Knowledge-based Model for Photovoltaic Modules Operating under Shading Conditions","year":2020,"lang":"en","type":"article","venue":"WSEAS TRANSACTIONS ON COMPUTERS","topic":"Photovoltaic System Optimization Techniques","field":"Energy","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; Université du Québec en Outaouais","funders":"","keywords":"Photovoltaic system; Computer science; Maximum power point tracking; Ontology; Key (lock); Representation (politics); Planner; Process (computing); Controller (irrigation); Control engineering; Artificial intelligence; Power (physics); Engineering","score_opus":0.046650164684760735,"score_gpt":0.28493772127880906,"score_spread":0.23828755659404832,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3138223772","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0022583657,0.000025809295,0.993971,0.0005154304,0.00020698462,0.0010638844,0.00010408364,0.0012246437,0.0006298333],"genre_scores_gemma":[0.83837116,0.0000029976059,0.15916407,0.0016408013,0.00006958499,0.00051793683,0.000065961634,0.000081391074,0.000086116284],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99837023,0.00009245889,0.00043925171,0.0005425925,0.00020751603,0.00034792404],"domain_scores_gemma":[0.9989362,0.00022669425,0.00010366715,0.000280607,0.00022119498,0.00023167398],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00011927406,0.00030107875,0.00032148138,0.00022644918,0.0006121023,0.00015763617,0.00026252752,0.00013053918,0.000058502254],"category_scores_gemma":[0.00002003868,0.00032607312,0.00024686364,0.00043539464,0.00007088854,0.0002533235,0.00000610369,0.00020274888,0.000022713792],"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":[0.000036060414,0.00014048374,0.000003123601,0.00008086031,0.00006697109,0.0000010060946,0.00058370904,0.9740503,0.020944662,0.0016001281,0.0005446086,0.001948115],"study_design_scores_gemma":[0.00092441554,0.00013244076,0.0000032023695,0.00017950906,0.000053865922,0.0000030129265,0.00012744762,0.93282187,0.064812414,0.00026794802,0.00034720742,0.00032667455],"about_ca_topic_score_codex":0.000080888625,"about_ca_topic_score_gemma":0.00008805313,"teacher_disagreement_score":0.8361128,"about_ca_system_score_codex":0.0002401552,"about_ca_system_score_gemma":0.00018694428,"threshold_uncertainty_score":0.9999191},"labels":[],"label_agreement":null},{"id":"W3138388414","doi":"10.37394/23205.2020.19.7","title":"An Algorithm for Computing Solutions to the Range Limited Routing Problem Using Electrical Trucks","year":2020,"lang":"en","type":"article","venue":"WSEAS TRANSACTIONS ON COMPUTERS","topic":"Transportation and Mobility Innovations","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":"York University","funders":"","keywords":"Truck; Routing (electronic design automation); Computer science; Vehicle routing problem; Firefly algorithm; Range (aeronautics); Process (computing); Metaheuristic; Transport engineering; Mathematical optimization; Operations research; Algorithm; Automotive engineering; Engineering; Mathematics; Computer network","score_opus":0.0345452358104031,"score_gpt":0.25466801470749195,"score_spread":0.22012277889708887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3138388414","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008083451,0.000012735426,0.9883711,0.0015036527,0.00032715927,0.0008367735,0.00010716219,0.0007286575,0.00002933781],"genre_scores_gemma":[0.80457854,0.000001828225,0.19398169,0.0011692623,0.00015117547,0.000047693626,0.000030596908,0.000036981157,0.000002214839],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988327,0.000035023324,0.00033852088,0.000271722,0.00015979621,0.00036221338],"domain_scores_gemma":[0.9993559,0.00012648336,0.00002897924,0.00018902494,0.000105633575,0.00019393915],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013784105,0.00017934643,0.00016619163,0.00013104214,0.0005511662,0.00008571045,0.00020687918,0.000066702785,0.000010347465],"category_scores_gemma":[0.0000046432147,0.00017405055,0.000123987,0.0009510477,0.000024204164,0.00013356096,0.0000016259805,0.0002713912,0.00000816968],"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":[0.000009351483,0.000054393025,0.000011586338,0.0000111997215,0.000053232638,5.688404e-7,0.0012450751,0.84114945,0.00043356992,0.0003134539,0.00015186744,0.15656625],"study_design_scores_gemma":[0.0004733876,0.00013079305,0.0005175997,0.000021362852,0.000054652297,0.0000034853083,0.00013816242,0.99652,0.00024969305,0.000013163061,0.0016795746,0.00019813253],"about_ca_topic_score_codex":0.000016931195,"about_ca_topic_score_gemma":0.00002585242,"teacher_disagreement_score":0.79649514,"about_ca_system_score_codex":0.00009559579,"about_ca_system_score_gemma":0.000042082407,"threshold_uncertainty_score":0.70975757},"labels":[],"label_agreement":null},{"id":"W4392174481","doi":"10.37394/23205.2023.22.38","title":"Drift Detection and Model Update using Unsupervised AutoML in IoT","year":2023,"lang":"en","type":"article","venue":"WSEAS TRANSACTIONS ON COMPUTERS","topic":"Data Stream Mining Techniques","field":"Computer Science","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":"Université de Moncton","funders":"","keywords":"Computer science; Artificial intelligence; Machine learning","score_opus":0.02919546369918717,"score_gpt":0.2689107909725903,"score_spread":0.2397153272734031,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392174481","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.098300315,0.000007761891,0.8996803,0.00031927065,0.00023796447,0.00016342051,0.000011181511,0.0012455209,0.0000342426],"genre_scores_gemma":[0.7907581,0.000026361186,0.20897593,0.00017980018,0.000010799461,0.0000184763,0.0000033428537,0.000016043954,0.000011191285],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986927,0.00006720317,0.00021440275,0.000508144,0.00021242886,0.000305102],"domain_scores_gemma":[0.999246,0.000074615855,0.000038742917,0.00051312207,0.000027394824,0.00010014145],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022077773,0.00017363725,0.00016240528,0.0006721682,0.00017278954,0.00016297167,0.00047951296,0.00008161793,0.0000022437725],"category_scores_gemma":[0.0000040571285,0.00019391402,0.000052256077,0.0010905256,0.000047024965,0.00041286467,0.00003700897,0.0002198516,0.000018297264],"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":[0.000018909932,0.00010430137,0.0000636905,0.000019541292,0.000025736443,0.00003637466,0.0006805474,0.49188372,0.002442944,0.00081410125,0.00015152004,0.5037586],"study_design_scores_gemma":[0.0003079122,0.00005472236,0.00054814265,0.00005729881,0.000006508598,0.000015203701,0.00001213984,0.9951384,0.0025325648,0.0010123887,0.00012400297,0.0001906842],"about_ca_topic_score_codex":0.00008080975,"about_ca_topic_score_gemma":0.000050801482,"teacher_disagreement_score":0.69245774,"about_ca_system_score_codex":0.000092746144,"about_ca_system_score_gemma":0.00005422144,"threshold_uncertainty_score":0.79075843},"labels":[],"label_agreement":null},{"id":"W4400291827","doi":"10.37394/23205.2024.23.16","title":"Medical Image Classification using a Many to Many Relation, Multilayered Fuzzy Systems and AI","year":2024,"lang":"en","type":"article","venue":"WSEAS TRANSACTIONS ON COMPUTERS","topic":"Image and Video Quality Assessment","field":"Computer Science","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":"McMaster University; Impact; Health Sciences Centre","funders":"","keywords":"Relation (database); Computer science; Image (mathematics); Fuzzy logic; Artificial intelligence; Pattern recognition (psychology); Data mining","score_opus":0.04203604088379539,"score_gpt":0.3383368305414829,"score_spread":0.2963007896576875,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400291827","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0036459554,0.0001480486,0.9861791,0.0074506816,0.0016161777,0.0003678521,0.000008982219,0.00041256356,0.00017060919],"genre_scores_gemma":[0.932115,0.000023470098,0.0663968,0.0011643907,0.00011086614,0.000039050858,0.0000029049684,0.000020011625,0.00012746388],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979519,0.00018144674,0.00037963685,0.0006188764,0.000595919,0.0002721761],"domain_scores_gemma":[0.9989184,0.00019613212,0.000040504525,0.0004587975,0.00009529972,0.00029085713],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045735828,0.00019045467,0.00018649024,0.0003601487,0.00026616754,0.0008477677,0.00038762862,0.00010871427,0.0000150693695],"category_scores_gemma":[0.000009834311,0.00018803455,0.000086433785,0.00058404054,0.00005188978,0.00082785706,0.000023152556,0.0003221292,0.00009269042],"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":[0.000107527754,0.0010474045,0.00010791762,0.0011207553,0.0006457605,0.0006284677,0.009767259,0.09949206,0.009529001,0.22975427,0.009775136,0.63802445],"study_design_scores_gemma":[0.00024583965,0.00007121375,0.0010070965,0.0003325414,0.000023271326,0.00008595699,0.0000856579,0.994761,0.00013711206,0.00016807867,0.0028680896,0.000214175],"about_ca_topic_score_codex":0.00010508245,"about_ca_topic_score_gemma":0.000005640182,"teacher_disagreement_score":0.92846906,"about_ca_system_score_codex":0.0001887714,"about_ca_system_score_gemma":0.00018363197,"threshold_uncertainty_score":0.81750435},"labels":[],"label_agreement":null},{"id":"W7160094335","doi":"10.37394/23205.2025.24.30","title":"Fast and Robust Intensity-Based Image Matching Using FFT","year":2025,"lang":"","type":"article","venue":"WSEAS TRANSACTIONS ON COMPUTERS","topic":"Advanced Image and Video Retrieval Techniques","field":"Computer Science","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":"Collège de Maisonneuve","funders":"","keywords":"Fast Fourier transform; Discrete cosine transform; Matching (statistics); Image (mathematics); Kernel (algebra); Outlier; Computational complexity theory; Pattern recognition (psychology)","score_opus":0.02313121956246584,"score_gpt":0.2875704853030999,"score_spread":0.2644392657406341,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7160094335","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.001411068,0.0003163151,0.9934349,0.0016368387,0.0017629047,0.00059389777,0.000026613787,0.0005678698,0.00024956372],"genre_scores_gemma":[0.2367486,0.00015721018,0.7599421,0.002882598,0.00005829563,0.0000110633355,0.0000028406357,0.00003832179,0.00015891646],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9968042,0.00019400366,0.00063765695,0.0012420681,0.0004150151,0.0007070754],"domain_scores_gemma":[0.9978692,0.00032937957,0.0001855594,0.0009760804,0.00035813302,0.00028163256],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00034745215,0.0006119246,0.00063012127,0.0008985025,0.001102175,0.00093934726,0.00082736474,0.00021589384,0.000022969269],"category_scores_gemma":[0.000015500797,0.0006845899,0.0003169002,0.0015716034,0.00043406678,0.0012695296,0.00007928766,0.0009295565,0.000012962317],"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":[0.00041443165,0.00087137637,0.000052446583,0.0005466455,0.0003341072,0.00021399041,0.0009388611,0.2101205,0.008666578,0.0018398791,0.00032319763,0.775678],"study_design_scores_gemma":[0.00094465463,0.00027596572,0.00018491564,0.0015070194,0.00014330335,0.000044492543,0.0001049988,0.97004664,0.024075529,0.001536126,0.0004967999,0.00063956564],"about_ca_topic_score_codex":0.00011315033,"about_ca_topic_score_gemma":0.0000083591485,"teacher_disagreement_score":0.7750384,"about_ca_system_score_codex":0.0003179376,"about_ca_system_score_gemma":0.00035466233,"threshold_uncertainty_score":0.99956053},"labels":[],"label_agreement":null}]}