{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":6,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":6,"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":"8b23b2d49136","filters":{"venue":"Academic Journal of Science and Technology"}},"results":[{"id":"W4386528033","doi":"10.54097/ajst.v7i1.10993","title":"Study on the Relationship between F10.7 Index and Background X-ray Flux at Different Time Points","year":2023,"lang":"en","type":"article","venue":"Academic Journal of Science and Technology","topic":"Solar and Space Plasma Dynamics","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Index (typography); Flux (metallurgy); Positive correlation; Satellite; Correlation; Physics; Correlation coefficient; Negative correlation; Environmental science; Atmospheric sciences; Mathematics; Statistics; Materials science; Computer science; Astronomy; Geometry; Medicine; Internal medicine","authors":[{"name":"Yaoqi Lei","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03943327819978715,"gpt":0.301317479186667,"spread":0.2618842009868799,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009041058,0.00009023685,0.0001596395,0.0003980368,0.0004225515,0.00003057933,0.0003437265,0.00008553841,0.00001335119],"category_scores_gemma":[0.0001502228,0.00005490824,0.0000190688,0.0008274466,0.0006919928,0.0001519705,0.000283396,0.0007793894,0.00003409307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003304807,"about_ca_system_score_gemma":0.0000384548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001870484,"about_ca_topic_score_gemma":4.36456e-7,"domain_scores_codex":[0.9991065,0.00003066274,0.0002100179,0.0001505933,0.0002865486,0.0002156643],"domain_scores_gemma":[0.9990719,0.0005171177,0.0001578609,0.0001206908,0.00006816735,0.00006426527],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000003923305,0.00001181042,0.9899618,5.815037e-7,0.00001513453,0.000001697904,0.000282678,0.000001710662,0.0007991558,0.0072933,0.000215541,0.001412652],"study_design_scores_gemma":[0.0003701008,0.0001928264,0.9484921,0.00002347278,0.00002492898,0.00001217815,0.005610194,0.000262614,0.0002888912,0.04454683,0.00009989292,0.00007599176],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993871,0.00002323883,0.00004300035,0.005717493,0.000052656,0.0001017829,0.000003143831,0.00001559895,0.0001721023],"genre_scores_gemma":[0.9996349,0.000007252279,0.000009631635,0.00002743708,0.00005228401,0.000002444185,6.192455e-7,0.000004944165,0.000260538],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04146974,"threshold_uncertainty_score":0.3386103,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4406517410","doi":"10.54097/3svgb483","title":"Analyzing User Behavior in Social Networks Using Big Data: Opportunities, Challenges, and Future Directions","year":2025,"lang":"en","type":"article","venue":"Academic Journal of Science and Technology","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"York University","funders":"","keywords":"Big data; Data science; Computer science; Social network analysis; Social media; World Wide Web; Data mining","authors":[{"name":"Chen Sun","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1948327651373156,"gpt":0.3478341736885547,"spread":0.1530014085512391,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001186104,0.00009871259,0.0001947353,0.001815646,0.0003745021,0.00008401028,0.0007153435,0.0002318544,0.000003217054],"category_scores_gemma":[0.0001426402,0.00008435093,0.00001097311,0.002063989,0.001006032,0.002055938,0.0006893331,0.000663265,2.296786e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003356122,"about_ca_system_score_gemma":0.0001379278,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003735707,"about_ca_topic_score_gemma":0.00003909775,"domain_scores_codex":[0.9990227,0.000005414816,0.0003240696,0.0002359003,0.0001626843,0.0002491956],"domain_scores_gemma":[0.9992999,0.00001944556,0.0002504871,0.0001476975,0.0002707324,0.00001174513],"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":[0.000007876752,0.00002065832,0.02930369,0.00002682265,0.00000858914,0.0000197174,0.00003028808,0.000001002447,0.0005999287,0.03446221,0.0003845691,0.9351346],"study_design_scores_gemma":[0.000578501,0.00002095115,0.08275861,0.0004097258,0.0002788662,0.0003168785,0.008660412,0.003805407,0.00007347301,0.01158146,0.8911157,0.0004000371],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9126056,0.05865261,0.001026611,0.02507567,0.001880058,0.0001338556,0.000003393169,0.00004432935,0.0005779021],"genre_scores_gemma":[0.9480661,0.05002216,0.0001154891,0.000316701,0.001452586,0.000001843013,0.000001895186,0.000005372003,0.00001784619],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9347346,"threshold_uncertainty_score":0.3706768,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4399783062","doi":"10.54097/r1dqa896","title":"Study On the Impact of Hand Exercise on The Cognitive Function of The Elderly Brain","year":2024,"lang":"en","type":"article","venue":"Academic Journal of Science and Technology","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Cognition; Montreal Cognitive Assessment; Physical therapy; Intervention (counseling); Medicine; Cognitive impairment; Physical medicine and rehabilitation; Psychology; Psychiatry","authors":[{"name":"Jintao Shen","is_ca":false},{"name":"Xiaowei Xu","is_ca":false},{"name":"Jing Yang","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02296151803757371,"gpt":0.337680286319967,"spread":0.3147187682823933,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001577463,0.00005879725,0.0001508273,0.0003786549,0.0001202809,0.000008641243,0.0002038645,0.00008721626,0.00001241516],"category_scores_gemma":[0.001822523,0.00001986887,0.00007387187,0.001053695,0.002017595,0.00007034582,0.00003495199,0.0007467709,0.000001533757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003212604,"about_ca_system_score_gemma":0.000285146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003628828,"about_ca_topic_score_gemma":2.711774e-7,"domain_scores_codex":[0.9991823,0.00003907227,0.0002314379,0.0000935237,0.000355023,0.00009864127],"domain_scores_gemma":[0.9986586,0.0008071013,0.0001597193,0.0001098982,0.0002412624,0.00002345028],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0009755681,0.0004874218,0.1457933,0.00005802247,0.000433062,0.00001849783,0.009686185,0.00001056527,0.4854397,0.01261886,0.006430579,0.3380482],"study_design_scores_gemma":[0.001874207,0.02988168,0.7343542,0.004054548,0.0004457338,0.0004776808,0.09849152,0.000115011,0.1099986,0.01977035,0.0004133596,0.0001231065],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9780185,0.0009932626,0.00001057321,0.02033342,0.0001711128,0.000277354,0.000001613643,0.000004612081,0.0001896006],"genre_scores_gemma":[0.9995764,0.0001862332,0.000001541312,0.000141563,0.00002743291,0.000002862708,2.004868e-8,0.000002699828,0.0000611978],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5885609,"threshold_uncertainty_score":0.7433913,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4306391585","doi":"10.54097/ajst.v3i1.1961","title":"Probes of New Types of Electrodes of ECG","year":2022,"lang":"en","type":"article","venue":"Academic Journal of Science and Technology","topic":"ECG Monitoring and Analysis","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 Ottawa","funders":"","keywords":"Electrode; Wearable computer; Silver chloride; Electrical conductor; Thread (computing); Materials science; Computer science; Biomedical engineering; Engineering; Embedded system; Composite material; Chemistry","authors":[{"name":"Junshu Guo","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01311592108541806,"gpt":0.2996342174988615,"spread":0.2865182964134435,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007608819,0.00003772805,0.0002601706,0.0007562579,0.00004586397,6.878194e-7,0.0002571096,0.0000556222,0.00001030059],"category_scores_gemma":[0.000370792,0.00002823613,0.00003220448,0.00136343,0.0007482716,0.00006050731,0.00008224712,0.000427065,8.035772e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000213827,"about_ca_system_score_gemma":0.0004062326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001426561,"about_ca_topic_score_gemma":1.942945e-7,"domain_scores_codex":[0.9991522,0.000007803923,0.0003195371,0.00007219875,0.0003392041,0.0001090938],"domain_scores_gemma":[0.9992154,0.00002375455,0.0003882297,0.00008079773,0.0002545152,0.00003728173],"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":[0.000026024,0.00002598797,0.1519481,0.00002187098,0.00003180071,0.000002636753,0.0001645654,0.000008686877,0.8164234,0.0007442506,0.00012225,0.03048038],"study_design_scores_gemma":[0.0004015725,0.001357854,0.003775583,0.0001095416,0.0001290179,0.0003689277,0.00194387,0.0001001087,0.9838997,0.00708093,0.0007961121,0.00003676903],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927227,0.004291941,0.00005230992,0.002804404,0.00003707346,0.00002365704,4.719204e-7,0.000003914259,0.00006354517],"genre_scores_gemma":[0.9975792,0.0010689,0.001207112,0.0000173823,0.00002647308,3.412942e-7,4.607941e-8,0.00000200481,0.00009860365],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1674763,"threshold_uncertainty_score":0.2757038,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4408130002","doi":"10.54097/fdfv1k20","title":"Electromagnetic Induction Sensor Design for Metal Oil Wear Particle Detection","year":2025,"lang":"en","type":"article","venue":"Academic Journal of Science and Technology","topic":"Non-Destructive Testing Techniques","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":"Particle (ecology); Electromagnetic induction; Materials science; Automotive engineering; Environmental science; Acoustics; Engineering; Electrical engineering; Physics; Geology","authors":[{"name":"Zhi Yin","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01636106340795254,"gpt":0.2651383531688618,"spread":0.2487772897609093,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009354905,0.00007132941,0.0001236806,0.0005753674,0.0001174314,0.00001232176,0.0002209826,0.0001531033,7.2292e-7],"category_scores_gemma":[0.0007686536,0.00006493222,0.00001548669,0.001203773,0.0005632525,0.0003512048,0.00002732562,0.0004573782,4.30947e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00010651,"about_ca_system_score_gemma":0.00007946495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":8.621444e-7,"about_ca_topic_score_gemma":2.394791e-7,"domain_scores_codex":[0.9993184,0.0000112393,0.0002216634,0.0001086043,0.0001180713,0.0002220368],"domain_scores_gemma":[0.9995373,0.00007168083,0.00007353833,0.00007317182,0.0002134643,0.0000308708],"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":[0.000006632806,0.000002491745,0.0001664292,0.000008858538,0.000007415983,7.416684e-7,0.00001918642,0.000007968995,0.953115,0.004805183,0.00002368486,0.04183641],"study_design_scores_gemma":[0.000156387,0.0002726954,0.0002431344,0.00003350167,0.0000248497,0.0003481702,0.0001109782,0.001515802,0.8162196,0.1809407,0.00007746047,0.00005665654],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9367328,0.00062123,0.06159593,0.0005488598,0.0001654109,0.00006287781,1.753373e-7,0.0001921979,0.00008046623],"genre_scores_gemma":[0.9008191,0.0002697725,0.09885021,0.00001506039,0.00002452542,0.00000895613,1.371658e-8,0.000005434288,0.000006881239],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1761356,"threshold_uncertainty_score":0.2647859,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W7117582294","doi":"10.54097/7v1emf34","title":"Clinical Characteristics and Molecular Basis of Hereditary Skin Diseases in Dogs","year":2025,"lang":"","type":"article","venue":"Academic Journal of Science and Technology","topic":"Skin and Cellular Biology Research","field":"Biochemistry, Genetics and Molecular Biology","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":"Gene; Disease; Inheritance (genetic algorithm); Phenotype; Mutation; Hereditary Diseases; Genome; Genetic heterogeneity; Molecular genetics","authors":[{"name":"Sihan Hao","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01004996876513278,"gpt":0.3283188757500317,"spread":0.3182689069848989,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002716852,0.0001853932,0.0005803664,0.001065693,0.0001036555,0.0000141524,0.0008831106,0.0009801892,0.000004591399],"category_scores_gemma":[0.002719866,0.0001625795,0.00008230591,0.001324831,0.009169186,0.00002231755,0.0008099648,0.001204827,3.967509e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002781267,"about_ca_system_score_gemma":0.001265383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005172697,"about_ca_topic_score_gemma":0.000001179595,"domain_scores_codex":[0.9975166,0.0001456871,0.001114138,0.0004772416,0.0002906728,0.0004556482],"domain_scores_gemma":[0.9984033,0.0001038628,0.0004639715,0.0002843108,0.0005758282,0.0001687617],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001678329,0.0001243518,0.5587207,0.00007251623,0.00008564147,0.0001601312,0.00002491348,1.622503e-7,0.2693701,0.001233102,0.0001915696,0.1698489],"study_design_scores_gemma":[0.006077176,0.004818291,0.3377382,0.001650791,0.0004725611,0.003099805,0.003278179,0.0003159856,0.6082827,0.01803321,0.01537569,0.0008574328],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9422641,0.05351964,0.0001076864,0.003522074,0.0003413555,0.0001268704,0.00001314554,0.000002075266,0.0001030886],"genre_scores_gemma":[0.9427502,0.05671877,0.0001690624,0.0002331979,0.00008202318,0.000002263171,0.000001942574,0.000006220415,0.00003632115],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3389125,"threshold_uncertainty_score":0.9935273,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}