{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":4,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":4,"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":"7723262c1ec8","filters":{"venue":"VFAST Transactions on Software Engineering"}},"results":[{"id":"W4403798860","doi":"10.21015/vtse.v12i3.1907","title":"Optimisation of Sentiment Analysis for E-Commerce","year":2024,"lang":"en","type":"article","venue":"VFAST Transactions on Software Engineering","topic":"Sentiment Analysis and Opinion Mining","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Victoria","funders":"","keywords":"Sentiment analysis; E-commerce; Computer science; Business; Natural language processing; World Wide Web","authors":[{"name":"Pir Bakhsh","is_ca":false},{"name":"Muhammad Ismail","is_ca":false},{"name":"Mohammad Asif Khan","is_ca":false},{"name":"Muhammad Imran Ali","is_ca":true},{"name":"Raheel Ahmed Memon","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01685957247153525,"gpt":0.2483498994820547,"spread":0.2314903270105195,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001572074,0.0001124968,0.0001776602,0.0007044339,0.00005595305,0.00009068216,0.0001814613,0.00003830914,0.0000512668],"category_scores_gemma":[0.00001070182,0.0001133111,0.000345849,0.001280171,0.000006303969,0.0002238385,0.000004198386,0.00007271743,0.000008453791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004013883,"about_ca_system_score_gemma":0.00001960057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003755032,"about_ca_topic_score_gemma":0.000001311118,"domain_scores_codex":[0.9991776,0.000008905885,0.000236194,0.0002635449,0.0001709839,0.0001428159],"domain_scores_gemma":[0.9993955,0.000236566,0.00002819377,0.0002524659,0.00004225828,0.00004501859],"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":[0.00000268896,0.00004649204,0.0001053549,0.00007896543,0.0009937061,9.304155e-7,0.0004429331,0.9669126,0.0006871222,0.002381077,0.00004057191,0.02830757],"study_design_scores_gemma":[0.000113286,0.00004260049,0.0004738222,0.00006591038,0.0003116307,9.336689e-7,0.00002495363,0.9845769,0.01242051,0.00001161091,0.001818554,0.0001393229],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003576061,0.0001445494,0.9953876,0.0001041119,0.00038476,0.00009593738,0.0000125911,0.0002836223,0.00001077986],"genre_scores_gemma":[0.7306086,0.00001215157,0.2690463,0.00001436931,0.00002410357,0.00003401142,0.000009943228,0.00001159127,0.0002388971],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7270325,"threshold_uncertainty_score":0.4620692,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4411114428","doi":"10.21015/vtse.v13i2.2103","title":"Covid-19 Sentiment Analysis on X (formerly Twitter) Using Machine Learning Classifiers: Performance Comparison and Key Insights","year":2025,"lang":"en","type":"article","venue":"VFAST Transactions on Software Engineering","topic":"Sentiment Analysis and Opinion Mining","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":"University of Victoria","funders":"","keywords":"Key (lock); Coronavirus disease 2019 (COVID-19); Sentiment analysis; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Computer science; Artificial intelligence; Natural language processing; Data science; Biology; Medicine; Virology","authors":[{"name":"Muhammad Ali Shaikh","is_ca":true},{"name":"Muhammad Ismail","is_ca":false},{"name":"Pir Bakhsh","is_ca":false},{"name":"Salahudin Jokhio","is_ca":true},{"name":"Mohammad Asif Khan","is_ca":false},{"name":"Khurshed Ali","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02650380666096772,"gpt":0.2734290867632074,"spread":0.2469252801022397,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001870284,0.0002671053,0.0003817418,0.001465557,0.0005051246,0.00022094,0.0002614099,0.00008243304,0.00003931998],"category_scores_gemma":[0.00003898769,0.0002639175,0.0001894496,0.001968925,0.00002484625,0.0003282079,0.00001996893,0.0003786714,0.000008262464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002263305,"about_ca_system_score_gemma":0.00007535377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003819598,"about_ca_topic_score_gemma":0.00001544416,"domain_scores_codex":[0.9984607,0.00004753984,0.0003815224,0.0005170006,0.0002991335,0.0002941109],"domain_scores_gemma":[0.999087,0.000223333,0.00009270127,0.0003482938,0.00003920651,0.000209442],"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":[0.00001604927,0.00007913144,0.01118656,0.00006529023,0.0006400882,0.000003343067,0.001267445,0.9800182,0.0002210266,0.0002393309,0.00001039807,0.006253135],"study_design_scores_gemma":[0.0004118395,0.00008801783,0.002323085,0.00009007723,0.0002669464,0.000002073188,0.000125398,0.9923773,0.001736447,0.000003090815,0.002325229,0.0002505408],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1952555,0.0001798806,0.8038574,0.00009751883,0.000236254,0.00008704816,0.000001860906,0.0002618053,0.00002277226],"genre_scores_gemma":[0.9584904,0.00004739614,0.04093457,0.0002327378,0.0000177325,0.00001344622,0.000009922757,0.00001375442,0.0002400218],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7632349,"threshold_uncertainty_score":0.9999813,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4390860728","doi":"10.21015/vtse.v11i1.1397","title":"An Improved Framework for Sindh School Monitoring System Android App","year":2023,"lang":"en","type":"article","venue":"VFAST Transactions on Software Engineering","topic":"IoT-based Smart Home Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Quest University Canada","funders":"","keywords":"Attendance; Android (operating system); Computer science; Curriculum; World Wide Web; Operating system; Psychology; Political science","authors":[{"name":"Imtiaz Ali Halepoto","is_ca":false},{"name":"Feroz Gul","is_ca":false},{"name":"Fayaz Ahmed Memon","is_ca":false},{"name":"Umair Saeed","is_ca":true},{"name":"Muhammad Majid Hussain","is_ca":false},{"name":"Baqir Ali Zardari","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.009437666082783264,"gpt":0.2241037927150114,"spread":0.2146661266322281,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002665678,0.0004312587,0.0004002056,0.0006329329,0.0002387753,0.0001311834,0.0002785846,0.0003217853,0.00001326659],"category_scores_gemma":[0.00008652591,0.000505822,0.0002042805,0.0009370932,0.00001315385,0.0003400672,0.000003169001,0.0005534664,0.0001704944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004151334,"about_ca_system_score_gemma":0.00004025716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007744285,"about_ca_topic_score_gemma":0.000003072866,"domain_scores_codex":[0.9981086,0.00001930258,0.000447977,0.0004278865,0.0002540565,0.0007421815],"domain_scores_gemma":[0.9985443,0.0003862974,0.00003435694,0.000622987,0.00007326509,0.0003387319],"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":[0.0000191872,0.00002409489,0.0001289983,0.001168149,0.0001286305,0.000009624324,0.000235149,0.9847955,0.00925211,0.00009989121,0.00003534681,0.004103331],"study_design_scores_gemma":[0.001034184,0.0002441276,0.001241455,0.0013665,0.00009232589,0.00002947471,0.0009236916,0.9537259,0.03841256,0.00001338353,0.001784088,0.001132306],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06115206,0.00009763477,0.9222886,0.000006396549,0.005126645,0.0006759609,0.0001496314,0.01048818,0.00001486983],"genre_scores_gemma":[0.9428768,0.00001294093,0.05517256,0.000003525342,0.0007621479,0.0007833103,0.00002760415,0.0002948531,0.00006628958],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8817247,"threshold_uncertainty_score":0.9997393,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4390861366","doi":"10.21015/vtse.v10i2.911","title":"Energy Based Segmentation for Lungs Surrounding Pulmonic Diffusion in CT Images.","year":2022,"lang":"en","type":"article","venue":"VFAST Transactions on Software Engineering","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Segmentation; Hausdorff distance; Boundary (topology); Computer science; Energy (signal processing); Artificial intelligence; Ground truth; Histogram; Pattern recognition (psychology); Algorithm; Level set method; Image segmentation; Mathematics; Image (mathematics); Statistics","authors":[{"name":"Muhammad Junaid Khan","is_ca":false},{"name":"Lubna Farhi","is_ca":false},{"name":"Hassan Imam","is_ca":false},{"name":"Farhan Ur Rehman","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01405612034907548,"gpt":0.2569968621563992,"spread":0.2429407418073238,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002216843,0.0001936724,0.0002371831,0.0007181484,0.0002227865,0.00002460134,0.00008196793,0.0000336222,0.0001942607],"category_scores_gemma":[0.00008462994,0.0002347909,0.0001536481,0.0006220542,0.00001121098,0.0001094773,0.000005845541,0.0002890916,0.000002017333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001126745,"about_ca_system_score_gemma":0.0001443388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001538341,"about_ca_topic_score_gemma":0.00002751749,"domain_scores_codex":[0.9987374,0.000030299,0.0002752233,0.0003490231,0.0002953472,0.0003127089],"domain_scores_gemma":[0.9989683,0.000633915,0.00004435746,0.0002270018,0.00003367308,0.00009273175],"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":[0.0002353207,0.0007577675,0.00168225,0.0004468699,0.00005336379,0.00007628941,0.0002246876,0.937668,0.02698873,0.00002542919,0.0003110628,0.03153018],"study_design_scores_gemma":[0.01375299,0.001411163,0.0113613,0.00118981,0.0004623536,0.0001596111,0.0005334339,0.7792827,0.1187959,0.00002140557,0.0716625,0.001366745],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07213353,0.00008638019,0.9253138,0.001096272,0.0005303583,0.0004173339,0.00006960985,0.0003503547,0.000002354927],"genre_scores_gemma":[0.9829504,0.00001877329,0.01439924,0.001242002,0.00004515997,0.0009792928,0.0001071503,0.00008435828,0.0001736468],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9109145,"threshold_uncertainty_score":0.9574494,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}