{"meta":{"query_hash":"8b23b2d49136","filters":{"venue":"Academic Journal of Science and Technology"},"cohort_total":6,"direct_labels_cover":0,"predictions_cover":6,"exported":6,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/8b23b2d49136","api":"https://metacan.xera.ac/api/v1/cohort?venue=Academic+Journal+of+Science+and+Technology"},"results":[{"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.013115921085418055,"score_gpt":0.2996342174988615,"score_spread":0.28651829641344345,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4306391585","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9927227,0.004291941,0.00005230992,0.002804404,0.000037073463,0.000023657043,4.7192037e-7,0.000003914259,0.00006354517],"genre_scores_gemma":[0.99757916,0.0010689002,0.0012071115,0.000017382303,0.000026473075,3.412942e-7,4.607941e-8,0.0000020048096,0.000098603654],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991522,0.000007803923,0.00031953712,0.00007219875,0.0003392041,0.00010909376],"domain_scores_gemma":[0.9992154,0.000023754552,0.00038822967,0.00008079773,0.00025451515,0.00003728173],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00076088187,0.00003772805,0.00026017064,0.0007562579,0.000045863966,6.878194e-7,0.00025710955,0.000055622204,0.0000103005905],"category_scores_gemma":[0.000370792,0.000028236134,0.00003220448,0.0013634302,0.00074827165,0.000060507307,0.00008224712,0.000427065,8.0357715e-8],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026024001,0.000025987973,0.15194812,0.000021870977,0.000031800708,0.0000026367527,0.00016456543,0.000008686877,0.8164234,0.0007442506,0.00012225003,0.030480381],"study_design_scores_gemma":[0.0004015725,0.0013578541,0.0037755829,0.00010954156,0.00012901795,0.00036892766,0.00194387,0.000100108686,0.9838997,0.00708093,0.0007961121,0.000036769034],"about_ca_topic_score_codex":0.00001426561,"about_ca_topic_score_gemma":1.9429454e-7,"teacher_disagreement_score":0.1674763,"about_ca_system_score_codex":0.000021382697,"about_ca_system_score_gemma":0.00040623258,"threshold_uncertainty_score":0.27570382},"labels":[],"label_agreement":null},{"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.03943327819978715,"score_gpt":0.301317479186667,"score_spread":0.26188420098687987,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386528033","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.993871,0.000023238832,0.00004300035,0.0057174927,0.000052655996,0.0001017829,0.0000031438306,0.000015598955,0.00017210234],"genre_scores_gemma":[0.99963486,0.0000072522794,0.000009631635,0.000027437083,0.000052284013,0.0000024441852,6.192455e-7,0.0000049441646,0.000260538],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991065,0.000030662737,0.00021001785,0.0001505933,0.0002865486,0.0002156643],"domain_scores_gemma":[0.9990719,0.00051711773,0.00015786091,0.00012069079,0.00006816735,0.000064265274],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00090410584,0.00009023685,0.00015963947,0.00039803676,0.00042255153,0.000030579326,0.00034372645,0.00008553841,0.000013351188],"category_scores_gemma":[0.00015022284,0.000054908236,0.000019068802,0.0008274466,0.0006919928,0.00015197048,0.00028339596,0.0007793894,0.000034093075],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000039233055,0.00001181042,0.9899618,5.815037e-7,0.000015134527,0.000001697904,0.000282678,0.0000017106621,0.0007991558,0.0072933,0.000215541,0.0014126521],"study_design_scores_gemma":[0.0003701008,0.00019282644,0.94849205,0.000023472783,0.000024928984,0.000012178153,0.0056101936,0.00026261396,0.00028889117,0.04454683,0.000099892924,0.00007599176],"about_ca_topic_score_codex":0.0000018704836,"about_ca_topic_score_gemma":4.3645602e-7,"teacher_disagreement_score":0.041469738,"about_ca_system_score_codex":0.000033048065,"about_ca_system_score_gemma":0.000038454797,"threshold_uncertainty_score":0.33861026},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cognition; Montreal Cognitive Assessment; Physical therapy; Intervention (counseling); Medicine; Cognitive impairment; Physical medicine and rehabilitation; Psychology; Psychiatry","score_opus":0.022961518037573708,"score_gpt":0.337680286319967,"score_spread":0.3147187682823933,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399783062","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97801846,0.0009932626,0.000010573214,0.02033342,0.00017111283,0.000277354,0.0000016136433,0.0000046120813,0.0001896006],"genre_scores_gemma":[0.99957645,0.00018623317,0.0000015413123,0.00014156295,0.000027432912,0.0000028627076,2.004868e-8,0.0000026998284,0.000061197796],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9991823,0.000039072274,0.00023143792,0.0000935237,0.00035502302,0.00009864127],"domain_scores_gemma":[0.9986586,0.00080710126,0.00015971929,0.00010989823,0.00024126239,0.000023450284],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015774634,0.000058797246,0.00015082731,0.0003786549,0.000120280885,0.000008641243,0.00020386446,0.00008721626,0.000012415158],"category_scores_gemma":[0.0018225232,0.000019868867,0.000073871866,0.0010536946,0.002017595,0.00007034582,0.000034951994,0.0007467709,0.0000015337566],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00097556814,0.00048742184,0.14579326,0.00005802247,0.00043306197,0.000018497825,0.009686185,0.00001056527,0.48543975,0.012618864,0.0064305793,0.33804822],"study_design_scores_gemma":[0.0018742069,0.029881679,0.7343542,0.004054548,0.00044573378,0.0004776808,0.09849152,0.000115011026,0.10999864,0.019770348,0.0004133596,0.00012310647],"about_ca_topic_score_codex":0.0000036288284,"about_ca_topic_score_gemma":2.7117736e-7,"teacher_disagreement_score":0.5885609,"about_ca_system_score_codex":0.00003212604,"about_ca_system_score_gemma":0.00028514603,"threshold_uncertainty_score":0.74339134},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.19483276513731565,"score_gpt":0.34783417368855474,"score_spread":0.1530014085512391,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406517410","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9126056,0.058652613,0.0010266108,0.025075672,0.001880058,0.00013385565,0.0000033931692,0.00004432935,0.00057790213],"genre_scores_gemma":[0.9480661,0.05002216,0.00011548914,0.00031670096,0.001452586,0.0000018430127,0.000001895186,0.000005372003,0.000017846192],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990227,0.000005414816,0.00032406958,0.00023590034,0.00016268427,0.00024919555],"domain_scores_gemma":[0.9992999,0.000019445562,0.00025048712,0.00014769754,0.0002707324,0.0000117451345],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011861038,0.00009871259,0.00019473532,0.0018156456,0.00037450207,0.00008401028,0.00071534346,0.00023185443,0.0000032170537],"category_scores_gemma":[0.00014264019,0.00008435093,0.000010973105,0.002063989,0.0010060323,0.0020559384,0.00068933313,0.000663265,2.2967859e-7],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007876752,0.000020658323,0.029303687,0.000026822647,0.00000858914,0.000019717403,0.000030288076,0.0000010024474,0.00059992867,0.03446221,0.00038456914,0.93513465],"study_design_scores_gemma":[0.000578501,0.000020951153,0.08275861,0.0004097258,0.00027886615,0.00031687852,0.008660412,0.0038054073,0.000073473006,0.011581456,0.89111567,0.0004000371],"about_ca_topic_score_codex":0.000037357073,"about_ca_topic_score_gemma":0.00003909775,"teacher_disagreement_score":0.9347346,"about_ca_system_score_codex":0.00003356122,"about_ca_system_score_gemma":0.00013792777,"threshold_uncertainty_score":0.37067682},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Particle (ecology); Electromagnetic induction; Materials science; Automotive engineering; Environmental science; Acoustics; Engineering; Electrical engineering; Physics; Geology","score_opus":0.016361063407952542,"score_gpt":0.2651383531688618,"score_spread":0.24877728976090926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408130002","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9367328,0.00062123,0.061595928,0.00054885977,0.00016541094,0.00006287781,1.7533733e-7,0.00019219791,0.00008046623],"genre_scores_gemma":[0.9008191,0.00026977254,0.09885021,0.000015060391,0.000024525421,0.00000895613,1.3716579e-8,0.0000054342877,0.000006881239],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99931836,0.000011239304,0.00022166336,0.00010860431,0.00011807126,0.00022203685],"domain_scores_gemma":[0.9995373,0.00007168083,0.00007353833,0.000073171825,0.00021346427,0.000030870804],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00093549053,0.00007132941,0.00012368057,0.00057536736,0.00011743139,0.000012321762,0.00022098262,0.00015310335,7.2292005e-7],"category_scores_gemma":[0.0007686536,0.00006493222,0.000015486692,0.001203773,0.00056325254,0.00035120483,0.00002732562,0.0004573782,4.30947e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006632806,0.0000024917451,0.00016642922,0.000008858538,0.0000074159825,7.4166843e-7,0.000019186418,0.000007968995,0.953115,0.0048051826,0.000023684861,0.041836414],"study_design_scores_gemma":[0.000156387,0.00027269544,0.00024313443,0.000033501674,0.000024849704,0.00034817017,0.000110978166,0.0015158023,0.8162196,0.18094075,0.00007746047,0.000056656536],"about_ca_topic_score_codex":8.6214436e-7,"about_ca_topic_score_gemma":2.3947908e-7,"teacher_disagreement_score":0.17613557,"about_ca_system_score_codex":0.00010651004,"about_ca_system_score_gemma":0.000079464946,"threshold_uncertainty_score":0.26478592},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Gene; Disease; Inheritance (genetic algorithm); Phenotype; Mutation; Hereditary Diseases; Genome; Genetic heterogeneity; Molecular genetics","score_opus":0.010049968765132776,"score_gpt":0.32831887575003166,"score_spread":0.3182689069848989,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7117582294","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9422641,0.05351964,0.000107686414,0.003522074,0.00034135554,0.00012687042,0.000013145536,0.0000020752661,0.00010308863],"genre_scores_gemma":[0.9427502,0.056718774,0.00016906245,0.00023319795,0.00008202318,0.000002263171,0.000001942574,0.0000062204153,0.000036321155],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99751663,0.00014568713,0.0011141382,0.00047724164,0.00029067282,0.00045564823],"domain_scores_gemma":[0.99840325,0.00010386285,0.00046397146,0.00028431084,0.00057582825,0.00016876175],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0027168517,0.00018539316,0.00058036635,0.0010656925,0.000103655504,0.000014152397,0.0008831106,0.0009801892,0.0000045913994],"category_scores_gemma":[0.0027198659,0.00016257948,0.00008230591,0.0013248308,0.0091691855,0.000022317548,0.0008099648,0.0012048269,3.9675095e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001678329,0.00012435182,0.5587207,0.00007251623,0.00008564147,0.00016013115,0.000024913475,1.6225026e-7,0.2693701,0.0012331023,0.0001915696,0.16984895],"study_design_scores_gemma":[0.0060771764,0.0048182914,0.33773822,0.0016507907,0.0004725611,0.0030998045,0.003278179,0.00031598556,0.6082827,0.018033214,0.015375692,0.0008574328],"about_ca_topic_score_codex":0.0000051726975,"about_ca_topic_score_gemma":0.0000011795945,"teacher_disagreement_score":0.33891255,"about_ca_system_score_codex":0.000027812666,"about_ca_system_score_gemma":0.0012653825,"threshold_uncertainty_score":0.9935273},"labels":[],"label_agreement":null}]}