{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":2,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":2,"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":"3206b3b2072d","filters":{"venue":"Advances in Engineering Innovation"}},"results":[{"id":"W4411910264","doi":"10.54254/2977-3903/2025.24777","title":"Application of neural network algorithms in the design of electromagnetic parameters for dielectric loss microwave absorbing materials","year":2025,"lang":"en","type":"article","venue":"Advances in Engineering Innovation","topic":"Electromagnetic wave absorption materials","field":"Materials 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":"MD Precision (Canada)","funders":"","keywords":"Microwave; Artificial neural network; Dielectric; Dielectric loss; Materials science; Electronic engineering; Computer science; Algorithm; Acoustics; Engineering; Optoelectronics; Physics; Telecommunications; Artificial intelligence","authors":[{"name":"Hongfei Cheng","is_ca":false},{"name":"Hui Wang","is_ca":true},{"name":"Zhiyong Wang","is_ca":false},{"name":"Zhijian Wang","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.009318660833349281,"gpt":0.2524072206781209,"spread":0.2430885598447717,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00140693,0.0001425078,0.0002899421,0.0003135909,0.00002240624,0.00002246493,0.0002716354,0.0000682266,0.000003920304],"category_scores_gemma":[0.0002546326,0.0001297048,0.00001892989,0.001905872,0.00004281883,0.0001921374,0.00001929876,0.00006811511,5.607769e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006218183,"about_ca_system_score_gemma":0.00002980817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000172836,"about_ca_topic_score_gemma":0.000003461468,"domain_scores_codex":[0.9984164,0.00009451724,0.0008202508,0.0002259699,0.0001355993,0.0003072624],"domain_scores_gemma":[0.9988906,0.0004733109,0.0002929497,0.0002175852,0.0001198384,0.000005754623],"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":[0.00005993113,0.00002297816,0.00006787901,0.0001704014,0.000002201851,2.556628e-7,0.00004062479,0.1988936,0.7871842,0.01169688,0.000004876548,0.001856138],"study_design_scores_gemma":[0.0004549313,0.0002468732,0.002275871,0.0001013762,0.00001048508,0.000002770779,0.00001053818,0.03712927,0.9493401,0.01027546,0.00003094333,0.0001214087],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6382006,0.0004584913,0.3603441,0.00004455321,0.0002081657,0.0007097436,0.000004164481,0.00001782116,0.00001228044],"genre_scores_gemma":[0.9392389,0.00007054552,0.06022535,0.00004231185,0.00003589298,0.0003502817,0.00001985197,0.00001278566,0.000004056422],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3010383,"threshold_uncertainty_score":0.5289208,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4392052723","doi":"10.54254/2977-3903/6/2024056","title":"Protein structure prediction based on deep learning: HER2 in complex with a covalent inhibitor","year":2024,"lang":"en","type":"article","venue":"Advances in Engineering Innovation","topic":"Computational Drug Discovery Methods","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":"Western University","funders":"","keywords":"Chemistry; Covalent bond; Docking (animal); Monomer; Protein structure; Biochemistry; Biophysics; Cancer research; Biology; Medicine","authors":[{"name":"Wenyi Yao","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.008612731936615778,"gpt":0.2610949630652268,"spread":0.252482231128611,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003060876,0.000141963,0.0001123686,0.0007633236,0.00002259539,0.00009007277,0.000160615,0.00004359632,0.00000400268],"category_scores_gemma":[0.0001147833,0.0001340671,0.00001238895,0.00302249,0.00001344241,0.0008524517,0.00003053919,0.0003471274,0.000001660157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000238884,"about_ca_system_score_gemma":0.00005489308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002908644,"about_ca_topic_score_gemma":0.000009461836,"domain_scores_codex":[0.9988519,0.00004982724,0.0002788118,0.0003425935,0.0003103249,0.0001665372],"domain_scores_gemma":[0.9995939,0.0001353773,0.00004561714,0.0001469372,0.00006341207,0.00001477942],"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":[0.00001428202,0.00001993653,0.0006193024,0.0001322381,0.000002238236,0.00001288984,0.0001080817,0.9271762,0.00228602,0.04219622,0.000002541626,0.02743001],"study_design_scores_gemma":[0.0002720915,0.0001412891,0.009789959,0.0003889362,7.745293e-7,0.000004029017,0.000006295682,0.9831457,0.001423445,0.001535826,0.003156957,0.0001346543],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1531205,0.00009732833,0.8457638,0.0001730236,0.0002564981,0.0002595046,0.000002777911,0.0002213594,0.000105262],"genre_scores_gemma":[0.8863606,0.000002530995,0.1134267,0.00003521455,0.00005969113,0.00005645721,0.00003690142,0.00001473681,0.000007174787],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7332401,"threshold_uncertainty_score":0.5467096,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}