{"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":"f054a1fa7920","filters":{"venue":"2021 3rd International Academic Exchange Conference on Science and Technology Innovation (IAECST)"}},"results":[{"id":"W4210880463","doi":"10.1109/iaecst54258.2021.9695865","title":"Flow battery: An energy storage alternative for hydropower station","year":2021,"lang":"en","type":"article","venue":"2021 3rd International Academic Exchange Conference on Science and Technology Innovation (IAECST)","topic":"Advanced battery technologies research","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Queen's University; Dalhousie University","funders":"","keywords":"Flow battery; Energy storage; Renewable energy; Vanadium; Battery (electricity); Process engineering; Pumped-storage hydroelectricity; Environmental science; Energy flow; Computer data storage; Computer science; Waste management; Engineering; Electrical engineering; Energy (signal processing); Power (physics); Materials science; Distributed generation","authors":[{"name":"Wei Ding","is_ca":false},{"name":"Qianbo Sheng","is_ca":true},{"name":"Jiayi Zhang","is_ca":true},{"name":"Zhu X","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05103451219450508,"gpt":0.3432801501111393,"spread":0.2922456379166343,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005867794,0.0002991805,0.0002621373,0.0006402032,0.0003256621,0.0004697758,0.0006266189,0.0004740059,0.01235387],"category_scores_gemma":[0.00007561852,0.0001107526,0.0002652867,0.0005310397,0.0001385364,0.001300526,0.0003725032,0.0002872575,0.003188098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000193835,"about_ca_system_score_gemma":0.0002220047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004330606,"about_ca_topic_score_gemma":0.0007054509,"domain_scores_codex":[0.9999342,0.000004307071,0.000003550385,0.00001355413,0.0000335378,0.00001081691],"domain_scores_gemma":[0.9999756,0.000002007153,0.000002690513,0.000002539909,0.00001216442,0.000005035118],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009729338,0.0003885468,0.001823886,0.002327719,0.00008696473,0.001493772,0.0001131414,0.004018357,0.3921271,0.01510462,0.03534228,0.5462008],"study_design_scores_gemma":[0.0002901591,0.001791895,0.005560336,0.0002917591,0.0001789162,0.003596158,0.0002534535,0.03177645,0.3312179,0.01321516,0.6116917,0.0001360837],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5736632,0.04209631,0.1379952,0.005069342,0.00467459,0.000602187,0.007550254,0.007771727,0.2205772],"genre_scores_gemma":[0.8818723,0.01022532,0.01319208,0.0006312516,0.000417753,0.000118784,0.002284632,0.0001375549,0.09112029],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01235387,"threshold_uncertainty_score":0.04132777,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4210862162","doi":"10.1109/iaecst54258.2021.9695592","title":"Research on Adaptive Processing Method of Feature Data Domain of Bearing Health State of Injection Molding Machine","year":2021,"lang":"en","type":"article","venue":"2021 3rd International Academic Exchange Conference on Science and Technology Innovation (IAECST)","topic":"Industrial Vision Systems and Defect Detection","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":"MD Precision (Canada)","funders":"Research and Development; National Natural Science Foundation of China","keywords":"Computer science; Generalization; Feature (linguistics); Artificial intelligence; Domain (mathematical analysis); Machine learning; Bearing (navigation); Transfer of learning; Data modeling; Data mining; Mathematics","authors":[{"name":"Chunfeng Zhang","is_ca":true},{"name":"Guanhao Chen","is_ca":false},{"name":"Shukai Wang","is_ca":false},{"name":"Jiawen Yu","is_ca":false},{"name":"Yaohua Deng","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1818259101553558,"gpt":0.4309080606729669,"spread":0.2490821505176111,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004860343,0.0005949938,0.0004458102,0.00045417,0.0002029407,0.000389371,0.0008710718,0.0004991957,0.0008032105],"category_scores_gemma":[0.001207493,0.0002147714,0.000492146,0.0005072445,0.0004086521,0.001212375,0.000437653,0.0008721108,0.0001473359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004573135,"about_ca_system_score_gemma":0.0005808732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004374517,"about_ca_topic_score_gemma":0.002246761,"domain_scores_codex":[0.9997707,0.0000259839,0.00001319023,0.00009855403,0.00006527375,0.00002619653],"domain_scores_gemma":[0.9997202,0.00008848197,0.00003580235,0.00003854889,0.0001010043,0.00001595413],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001175958,0.00008806267,0.004843852,0.0001443479,0.00007304753,0.0001079249,0.0001781664,0.4142656,0.03001973,0.008530258,0.001666023,0.5399653],"study_design_scores_gemma":[0.000003084533,0.00002331286,0.0006725153,0.000003544775,0.000006518073,0.00002683696,0.00000860609,0.9943964,0.00323091,0.00116695,0.0004560385,0.000005230771],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04027595,0.0005989941,0.9571612,0.0002131272,0.00006503982,0.00002973778,0.0000337735,0.0004296364,0.00119258],"genre_scores_gemma":[0.8790885,0.0008566201,0.1160335,0.0001349786,0.0000714886,0.00007806599,0.0001531957,0.0000657517,0.003517876],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004374517,"threshold_uncertainty_score":0.008698106,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}