{"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":"7f522a6c32a4","filters":{"venue":"The Eurasia Proceedings of Science Technology Engineering and Mathematics"}},"results":[{"id":"W4387672211","doi":"10.55549/epstem.1365791","title":"Bi-Directional LSTM-Based COVID-19 Detection Using Clinical Reports","year":2023,"lang":"en","type":"article","venue":"The Eurasia Proceedings of Science Technology Engineering and Mathematics","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université du Québec","funders":"","keywords":"Computer science; Preprocessor; Coronavirus disease 2019 (COVID-19); Artificial intelligence; Random forest; Deep learning; Long short term memory; Data pre-processing; Machine learning; Recall; Ensemble learning; Precision and recall; Classifier (UML); Word (group theory); Recurrent neural network; Artificial neural network","authors":[{"name":"Salah Bouktif","is_ca":false},{"name":"Akib Mohi Ud Din Khanday","is_ca":false},{"name":"Ali Ouni","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05509330833209412,"gpt":0.3602813358705212,"spread":0.3051880275384271,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002438582,0.0001421117,0.0002947307,0.001264844,0.0002792706,0.00002968636,0.000189409,0.0001448233,0.000002407503],"category_scores_gemma":[0.007199293,0.0001094564,0.00005732217,0.00349533,0.001392859,0.0001040071,0.0001276796,0.0002984313,0.000002216948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001300258,"about_ca_system_score_gemma":0.0002660264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000640411,"about_ca_topic_score_gemma":2.928203e-7,"domain_scores_codex":[0.9985211,0.000001669479,0.0004652223,0.0003391446,0.0003807459,0.0002921457],"domain_scores_gemma":[0.9988917,0.0002924703,0.0002401559,0.0001949132,0.0002419851,0.000138739],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002636994,0.0002325104,0.0124093,0.001869216,0.00006107894,0.00004447711,0.0007637897,0.004608122,0.971957,0.004904991,0.000632062,0.00249111],"study_design_scores_gemma":[0.0009490601,0.0005039856,0.006081574,0.0008875225,0.0003082907,0.002961751,0.002094985,0.7328903,0.2403746,0.007258405,0.005241313,0.0004481786],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9869065,0.00003743131,0.003263423,0.00827868,0.0002119234,0.0002858947,7.590392e-7,0.0009904478,0.0000249015],"genre_scores_gemma":[0.9759788,0.00003171487,0.02352835,0.0003441226,0.00004986906,0.00002238975,3.197179e-7,0.00002256792,0.0000218698],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7315823,"threshold_uncertainty_score":0.8618746,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W7125611139","doi":"10.55549/epstem.1325","title":"Bibliometric Analysis on Smart Self-Healing Nanocoating for 316L Stainless Steel Biomedical Implants","year":2025,"lang":"","type":"article","venue":"The Eurasia Proceedings of Science Technology Engineering and Mathematics","topic":"Corrosion Behavior and Inhibition","field":"Materials Science","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":"Scopus; Bibliometrics; Citation analysis; Citation; Web of science; China","authors":[{"name":"Ala Abdullah Mutaafi","is_ca":false},{"name":"Husam Kareem Mohsin Al-Jothery","is_ca":false},{"name":"Mohammed Sameer Alsabah","is_ca":false},{"name":"Nurul Azhani Yunus","is_ca":false},{"name":"Zahraa Ali Hajool","is_ca":false},{"name":"Ali Samer Muhsan","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01329744608693301,"gpt":0.2797373600618041,"spread":0.2664399139748711,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","bibliometrics"],"consensus_categories":["bibliometrics"],"category_scores_codex":[0.003822951,0.000362599,0.0007258505,0.07595098,0.0008861666,0.0003039461,0.001145515,0.0002994289,0.000006676637],"category_scores_gemma":[0.001719195,0.0002734241,0.0001287156,0.161117,0.001630043,0.0003531826,0.0004816895,0.0003489404,0.000002140592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001387642,"about_ca_system_score_gemma":0.0001495473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003994539,"about_ca_topic_score_gemma":2.654343e-7,"domain_scores_codex":[0.9968102,0.000003960961,0.0009554,0.0006983823,0.000722824,0.000809217],"domain_scores_gemma":[0.9978829,0.0004299429,0.0005136578,0.0003145998,0.0007291514,0.0001297411],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001397424,0.0002254044,0.0003873051,0.001166522,0.0000306181,4.967467e-7,0.0008982748,0.0001002059,0.9587926,0.03620861,0.00004305078,0.00213294],"study_design_scores_gemma":[0.0007244442,0.0006477305,0.00105291,0.001557691,0.0012691,0.0000461097,0.008255502,0.1973059,0.7852513,0.00322899,0.0001640395,0.0004962679],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9794275,0.0002086746,0.01807805,0.0006308675,0.0004044214,0.0008005311,0.00003685412,0.0003132201,0.00009985881],"genre_scores_gemma":[0.9714189,0.0001756437,0.02820331,0.00001947545,0.00002397243,0.00008995872,0.000001303399,0.00001982672,0.0000476628],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1972057,"threshold_uncertainty_score":0.9999718,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4416291111","doi":"10.55549/epstem.1153","title":"Innovative Technologies for Waste Reduction in the Extraction and Processing of Critical Raw Materials","year":2025,"lang":"","type":"article","venue":"The Eurasia Proceedings of Science Technology Engineering and Mathematics","topic":"Extraction and Separation Processes","field":"Engineering","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":"Raw material; SWOT analysis; Resource (disambiguation); Sustainability; Emerging technologies; Resource efficiency; Circular economy; Conceptual model; Material efficiency","authors":[{"name":"Vessela Petrova","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0144251061607507,"gpt":0.3025722532182341,"spread":0.2881471470574833,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001496599,0.0002090063,0.000349119,0.001324871,0.0002725614,0.0001187256,0.0004330566,0.0002231503,6.342821e-7],"category_scores_gemma":[0.002310377,0.0001484408,0.00001527189,0.004220848,0.002664738,0.0006002118,0.00009572746,0.0003326779,1.041332e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003540038,"about_ca_system_score_gemma":0.00006513255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001052828,"about_ca_topic_score_gemma":1.923932e-7,"domain_scores_codex":[0.998603,0.000002202954,0.0006571561,0.000257978,0.0001954521,0.000284164],"domain_scores_gemma":[0.9987584,0.0002205865,0.0002343055,0.0001252095,0.0006486439,0.00001281658],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000009408904,0.00005341156,0.000009883012,0.00332528,0.000009876397,9.603743e-8,0.002728973,0.0002025192,0.7105573,0.2784482,0.00002564039,0.004629412],"study_design_scores_gemma":[0.0002004095,0.00009802155,0.00007458294,0.001025248,0.00005540697,0.00009563694,0.06970569,0.02803288,0.8714803,0.02901508,0.00007087616,0.0001458837],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9778695,0.001614129,0.01523356,0.003657667,0.0002282119,0.0007303646,0.000004719258,0.0002341992,0.0004276784],"genre_scores_gemma":[0.9861842,0.0004155901,0.01325051,0.000004384844,0.00001309439,0.00009488481,2.692945e-7,0.00001256648,0.00002448473],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2494331,"threshold_uncertainty_score":0.9818338,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}