{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007378742,0.001226712,0.0005984312,0.001800375,0.0002658288,0.0007771675,0.0009550247,0.0008191027,0.0009111276],"category_scores_gemma":[0.002753987,0.000255139,0.0006777408,0.001039918,0.0001768669,0.001393948,0.0007974876,0.0009882094,0.000811869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004304272,"about_ca_system_score_gemma":0.000837384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004515658,"about_ca_topic_score_gemma":0.006049113,"domain_scores_codex":[0.9995674,0.00006321109,0.0000608018,0.0001304142,0.0001061882,0.00007199359],"domain_scores_gemma":[0.9990151,0.0003268741,0.0001687722,0.00008322092,0.000347069,0.00005901562],"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":[0.0006298811,0.0004771649,0.04714827,0.000379811,0.0003111739,0.001238848,0.000269689,0.06024387,0.03086666,0.001209286,0.01491073,0.8423146],"study_design_scores_gemma":[0.0000206731,0.0002151628,0.007479039,0.00005980501,0.0001684284,0.0008041073,0.0001130106,0.9676958,0.01728091,0.002614748,0.003515549,0.00003268688],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3522959,0.005294264,0.6178695,0.002309697,0.001208603,0.0003109945,0.004122434,0.008949768,0.007638777],"genre_scores_gemma":[0.901561,0.001402272,0.08841925,0.0005250833,0.0003850952,0.0001069577,0.003668783,0.00007528212,0.003856167],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004515658,"threshold_uncertainty_score":0.008978724,"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.007276267,0.0009343477,0.002589598,0.1443588,0.001083802,0.004418152,0.0008771047,0.0008237416,0.005927809],"category_scores_gemma":[0.04789767,0.0002574535,0.003763647,0.1913498,0.0006881416,0.002584302,0.001851815,0.0004994613,0.001116741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002892129,"about_ca_system_score_gemma":0.005749668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007521294,"about_ca_topic_score_gemma":0.007493443,"domain_scores_codex":[0.9869551,0.002016648,0.003564513,0.001311593,0.0053592,0.0007929948],"domain_scores_gemma":[0.9440162,0.03434486,0.009471267,0.001257272,0.009984432,0.0009259716],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001278216,0.0002213092,0.3093511,0.1223957,0.006792075,0.001342371,0.003037549,0.006011236,0.004773515,0.006954988,0.03933717,0.4985047],"study_design_scores_gemma":[0.0001825788,0.0007237028,0.7206956,0.02395498,0.01478523,0.003283487,0.006340986,0.007678856,0.006742671,0.00751783,0.2077271,0.0003669793],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.4353979,0.2981801,0.005135485,0.004346714,0.0005643962,0.0009110034,0.2191295,0.0007471467,0.03558774],"genre_scores_gemma":[0.8000472,0.115422,0.006663649,0.0003598854,0.0004599516,0.001045561,0.0717713,0.0001400831,0.004090401],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.8556412,"threshold_uncertainty_score":0.03848106,"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007914079,0.001343961,0.0006851148,0.005171331,0.002016673,0.005591688,0.002224479,0.002382751,0.003795945],"category_scores_gemma":[0.004503734,0.0004497581,0.001515699,0.004967256,0.00574343,0.006719118,0.003835627,0.00173295,0.0005227799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007172405,"about_ca_system_score_gemma":0.01644348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006263898,"about_ca_topic_score_gemma":0.01616272,"domain_scores_codex":[0.9924683,0.003332397,0.0003735155,0.0007193623,0.002525016,0.0005814558],"domain_scores_gemma":[0.9963121,0.001916028,0.0007515756,0.0004386353,0.0005065145,0.00007511424],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00007607225,0.0002969846,0.005386219,0.01033122,0.0002070418,0.0005630341,0.003930846,0.006627064,0.009513197,0.7107146,0.002528207,0.2498255],"study_design_scores_gemma":[0.00008016395,0.001037872,0.01172521,0.01428338,0.0006107943,0.001697708,0.02199177,0.008653997,0.04217221,0.3952963,0.5022861,0.0001645203],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1665594,0.1365959,0.4071057,0.02415274,0.0007144968,0.002776456,0.0005632417,0.0003107685,0.2612213],"genre_scores_gemma":[0.6750968,0.08624898,0.2204499,0.002960027,0.00009365944,0.001181366,0.0003698556,0.00005602157,0.01354336],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007914079,"threshold_uncertainty_score":0.05203968,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}