{"meta":{"query_hash":"bab478aae484","filters":{"venue":"International Journal of Scientific Research in Science Engineering and Technology"},"cohort_total":11,"direct_labels_cover":0,"predictions_cover":11,"exported":11,"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/bab478aae484","api":"https://metacan.xera.ac/api/v1/cohort?venue=International+Journal+of+Scientific+Research+in+Science+Engineering+and+Technology"},"results":[{"id":"W2724387372","doi":"10.32628/ijsrset1732170","title":"A Semantic Metadata Enrichment Software Ecosystem based on Sentiment and Emotion Metadata Enrichments","year":2017,"lang":"en","type":"article","venue":"International Journal of Scientific Research in Science Engineering and Technology","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; École de Technologie Supérieure; Polytechnique Montréal; Université du Québec à Montréal","funders":"","keywords":"Metadata; Computer science; World Wide Web; Ecosystem; Information retrieval; Ecology; Biology","score_opus":0.042443683168746235,"score_gpt":0.34465168172349847,"score_spread":0.3022079985547522,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2724387372","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":[0.8328573,0.00020554085,0.15679853,0.008128614,0.0017827192,0.00012593038,0.000018777013,0.00003860344,0.000043948283],"genre_scores_gemma":[0.9804754,0.0000413551,0.01934268,0.000008380569,0.000029643985,0.0000041338976,0.0000017945692,0.000003513957,0.000093085444],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9969729,0.000045474964,0.00035508676,0.00052683864,0.0017392678,0.00036042044],"domain_scores_gemma":[0.9979782,0.0001444619,0.00022272668,0.0008473751,0.00064588734,0.00016131086],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0077777826,0.00010597796,0.00019151666,0.0040145465,0.0004966239,0.0039213006,0.0037953716,0.000048206162,0.000002063756],"category_scores_gemma":[0.0019413201,0.000086704196,0.000029373217,0.0011068003,0.00054574164,0.0028135919,0.0012673263,0.00036328202,0.0000029100884],"study_design_candidate":"simulation_or_modeling","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":[0.0000876776,0.0015585836,0.10961164,0.00021582401,0.0006015493,0.0025393933,0.0011146761,0.020395733,0.14747092,0.17891032,0.0012056661,0.536288],"study_design_scores_gemma":[0.0012546808,0.0003168071,0.014694202,0.00083817745,0.000017663084,0.00029429846,0.00021321353,0.95961624,0.014141967,0.0026251883,0.005687311,0.00030023878],"about_ca_topic_score_codex":0.0000163429,"about_ca_topic_score_gemma":0.000005283389,"teacher_disagreement_score":0.93922055,"about_ca_system_score_codex":0.00015918557,"about_ca_system_score_gemma":0.0002462905,"threshold_uncertainty_score":0.99711275},"labels":[],"label_agreement":null},{"id":"W2773179286","doi":"10.32628/ijsrset151662","title":"Global Progress in Green Energies Development and the Environment","year":2015,"lang":"en","type":"article","venue":"International Journal of Scientific Research in Science Engineering and Technology","topic":"Global Energy and Sustainability Research","field":"Energy","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":"Montreal Protocol; Environmental science; Renewable energy; Environmentally friendly; Energy consumption; Sustainable development; Energy conservation; Efficient energy use; Global warming; Air conditioning; Environmental economics; Environmental protection; Greenhouse gas; Ozone layer; Natural resource economics; Environmental engineering; Climate change; Engineering; Ozone; Meteorology; Economics","score_opus":0.029809516447863744,"score_gpt":0.32781663882843276,"score_spread":0.29800712238056903,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2773179286","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":[0.99268216,0.0011518939,0.000034898712,0.005577539,0.00024749988,0.000059716436,3.9083955e-7,0.0000068668687,0.00023900578],"genre_scores_gemma":[0.99888724,0.00003476379,0.0009739295,0.0000028880468,0.000017127182,0.000012047609,2.0900148e-7,0.0000020574716,0.000069750684],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99775434,0.0000615986,0.0002818701,0.00021498719,0.0013226201,0.00036457836],"domain_scores_gemma":[0.9990758,0.00008889252,0.000039670627,0.00013025008,0.0005549686,0.0001104481],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.009059028,0.000062456726,0.000114372386,0.0014111081,0.00009763045,0.00022673566,0.00091864855,0.000052734224,0.0000019008597],"category_scores_gemma":[0.0008513612,0.00004205331,0.000010969584,0.0016593909,0.0036849547,0.0002573199,0.0005729918,0.00030258036,0.0000013427117],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016988188,0.00012584051,0.09074526,0.00001296183,0.000022949225,0.00034028987,0.0015469504,0.032779433,0.00033386453,0.5878685,0.000017276037,0.28603676],"study_design_scores_gemma":[0.014017153,0.00060777506,0.13196014,0.0006179158,0.0000066706366,0.001608226,0.022916758,0.14186063,0.011206582,0.50762814,0.16680875,0.0007612276],"about_ca_topic_score_codex":0.00016816023,"about_ca_topic_score_gemma":0.00010442574,"teacher_disagreement_score":0.28527555,"about_ca_system_score_codex":0.00053158007,"about_ca_system_score_gemma":0.00046746404,"threshold_uncertainty_score":0.9990264},"labels":[],"label_agreement":null},{"id":"W2937109826","doi":"10.32628/ijsrset1962126","title":"A Stock Prices Prediction Approach Via Neural Network by Several Investor Indicators","year":2019,"lang":"en","type":"article","venue":"International Journal of Scientific Research in Science Engineering and Technology","topic":"Stock Market Forecasting Methods","field":"Decision Sciences","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":"Simon Fraser University","funders":"","keywords":"Stock market; Artificial neural network; Econometrics; Stock (firearms); Stock market bubble; Computer science; Economics; Financial economics; Machine learning","score_opus":0.07863000361707667,"score_gpt":0.40391516139439293,"score_spread":0.32528515777731626,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2937109826","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":[0.98309636,0.00022008475,0.011566184,0.00092519267,0.0035678542,0.00016712918,0.000004329675,0.000026937798,0.0004259424],"genre_scores_gemma":[0.98096806,0.0000073891015,0.018596359,0.000008464421,0.00011535664,0.000007079145,7.2659736e-7,0.0000073557685,0.00028920863],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9935437,0.00015087816,0.0007474856,0.0005971029,0.0043826387,0.0005782227],"domain_scores_gemma":[0.99674255,0.0009831778,0.0003178417,0.00036063846,0.0014054246,0.00019035136],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.03433247,0.00011486915,0.00024263313,0.007721494,0.00020615252,0.0008148032,0.0030203678,0.00011726348,0.000023541657],"category_scores_gemma":[0.0069683567,0.00008842916,0.00004396502,0.009716991,0.0014908718,0.0010471779,0.0006503777,0.00092594436,0.000008086499],"study_design_candidate":"simulation_or_modeling","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":[0.00015725725,0.00026922722,0.45063078,0.00001967275,0.0000617659,0.000069054855,0.0010577796,0.09148438,0.10137149,0.00969095,0.0076666255,0.33752102],"study_design_scores_gemma":[0.00089476694,0.0004243212,0.046164937,0.00014740098,0.0000034072746,0.00078753004,0.0005974409,0.90658987,0.0025029061,0.019232646,0.022403259,0.0002515086],"about_ca_topic_score_codex":0.000006547649,"about_ca_topic_score_gemma":9.035668e-7,"teacher_disagreement_score":0.8151055,"about_ca_system_score_codex":0.00025383232,"about_ca_system_score_gemma":0.00033410528,"threshold_uncertainty_score":0.99435794},"labels":[],"label_agreement":null},{"id":"W2991989044","doi":"10.32628/ijsrset151141","title":"Effects of Starch Content and Compatibilizer on the Mechanical, Water Absorption and Biodegradable Properties of Potato Starch filled Polypropylene Blends","year":2015,"lang":"en","type":"article","venue":"International Journal of Scientific Research in Science Engineering and Technology","topic":"Advanced Cellulose Research Studies","field":"Materials Science","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Polypropylene; Starch; Absorption of water; Materials science; Potato starch; Composite material; Polymer science; Food science; Chemistry","score_opus":0.08379749146140439,"score_gpt":0.32639352360181656,"score_spread":0.24259603214041217,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2991989044","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":[0.9964015,0.0010750778,0.00010945219,0.0019391566,0.0002770881,0.00018072664,0.00000368401,0.0000064206642,0.0000068909785],"genre_scores_gemma":[0.9988302,0.00023835915,0.00087644503,0.0000018990402,0.000011947503,0.000010519306,1.6449195e-7,0.0000041334642,0.000026304517],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9975072,0.00008070187,0.00035086795,0.0002494661,0.001468956,0.000342777],"domain_scores_gemma":[0.99781305,0.00033116862,0.00008697402,0.00014758084,0.0015228629,0.00009839609],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.006687706,0.00008124433,0.00020524567,0.0014837137,0.00011975854,0.00011513785,0.0005958497,0.000036734393,0.0000026455793],"category_scores_gemma":[0.0020328562,0.000042933316,0.000014341846,0.0006405858,0.0031512436,0.00027327,0.0005491593,0.00029827325,8.554252e-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":[0.0001399123,0.00005224291,0.00022942122,0.000048572132,0.000009179273,0.00001141934,0.0005203036,0.00010003328,0.99423134,0.0036087795,0.0000056561616,0.0010431408],"study_design_scores_gemma":[0.0004646006,0.00058632036,0.0002609695,0.0003170081,0.0000017141799,0.00002848263,0.0011425108,0.0030517427,0.99156284,0.002475218,0.000061930856,0.0000466704],"about_ca_topic_score_codex":0.000049612896,"about_ca_topic_score_gemma":0.0000056688327,"teacher_disagreement_score":0.0046548494,"about_ca_system_score_codex":0.0001003969,"about_ca_system_score_gemma":0.00017502898,"threshold_uncertainty_score":0.9995616},"labels":[],"label_agreement":null},{"id":"W4399800409","doi":"10.32628/ijsrset24113142","title":"Voice Over for Home Security System","year":2024,"lang":"en","type":"article","venue":"International Journal of Scientific Research in Science Engineering and Technology","topic":"IoT-based Smart Home Systems","field":"Engineering","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":"Horizon College and Seminary","funders":"","keywords":"Computer security; Security system; Business; Communication; Internet privacy; Computer science; Telecommunications; Psychology","score_opus":0.020899167872687145,"score_gpt":0.3286171539337475,"score_spread":0.3077179860610604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399800409","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":[0.9835299,0.0017426903,0.0038528263,0.00047073732,0.009921386,0.00013958487,0.000014197719,0.00016278667,0.00016588347],"genre_scores_gemma":[0.99912155,0.0000252505,0.00059358333,6.1059546e-7,0.00019745018,0.000014613938,5.797819e-7,0.000012747336,0.00003362165],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980519,0.000011881925,0.0003457091,0.0002328285,0.00096325175,0.0003944524],"domain_scores_gemma":[0.99886817,0.00020810969,0.000023990095,0.00014502402,0.0006650841,0.00008964274],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005530432,0.00008437466,0.00014131323,0.005496439,0.00008420494,0.00059128646,0.00085649494,0.000080597405,0.0000021172414],"category_scores_gemma":[0.00030006515,0.0000748318,0.000035323577,0.0026422788,0.00052593386,0.0005025357,0.00010223009,0.0005049949,0.000007764742],"study_design_candidate":"simulation_or_modeling","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":[0.00003924198,0.000079308826,0.0028595096,0.0016158179,0.0001921114,0.0010350568,0.0018486497,0.046392266,0.65980923,0.2517021,0.004528585,0.029898155],"study_design_scores_gemma":[0.00039900444,0.000089598856,0.0003803985,0.0013533345,0.000003435384,0.0006217377,0.00059875107,0.93075573,0.02203845,0.0027729906,0.040807802,0.0001787469],"about_ca_topic_score_codex":0.000004226694,"about_ca_topic_score_gemma":0.0000032853695,"teacher_disagreement_score":0.8843635,"about_ca_system_score_codex":0.0005191681,"about_ca_system_score_gemma":0.00018813094,"threshold_uncertainty_score":0.5701789},"labels":[],"label_agreement":null},{"id":"W4399800684","doi":"10.32628/ijsrset24113140","title":"Brushstrokes of Tomorrow: Exploring the Art of AI","year":2024,"lang":"en","type":"article","venue":"International Journal of Scientific Research in Science Engineering and Technology","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Cognitive science; Art; Psychology","score_opus":0.0698952306295146,"score_gpt":0.39071769062015826,"score_spread":0.3208224599906437,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399800684","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":[0.83542234,0.0007943737,0.14436859,0.015227507,0.0038419585,0.000074557145,0.000006288285,0.000038916944,0.00022548417],"genre_scores_gemma":[0.9972777,0.00008673462,0.0025264227,0.0000037769303,0.00002432329,0.0000014477065,1.9485364e-7,0.0000020048074,0.000077388926],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99821836,0.00001700658,0.00032134852,0.00016664893,0.0011049404,0.00017169834],"domain_scores_gemma":[0.9986223,0.00015909446,0.000055909397,0.00019967013,0.0009232753,0.000039742827],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004572481,0.000042219865,0.00009005386,0.0034484374,0.00005225794,0.00037847433,0.0020310802,0.000020054857,0.0000028815068],"category_scores_gemma":[0.0006793966,0.000029233814,0.000023668328,0.0038895428,0.0010039269,0.0009208734,0.0004266821,0.00031631967,0.0000020920038],"study_design_candidate":"theoretical_or_conceptual","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":[0.0000027973852,0.000047967438,0.0012341073,0.00003101661,0.000019864958,0.000060995906,0.0006023379,0.0023754672,0.12564087,0.8238664,0.00061411806,0.045504056],"study_design_scores_gemma":[0.00024138673,0.00017909665,0.0013715007,0.00096111966,0.000003287883,0.00030962395,0.0006178015,0.6881213,0.2534656,0.018950079,0.03565844,0.00012073929],"about_ca_topic_score_codex":0.0000032701744,"about_ca_topic_score_gemma":0.0000014698214,"teacher_disagreement_score":0.8049163,"about_ca_system_score_codex":0.000045354394,"about_ca_system_score_gemma":0.00030357283,"threshold_uncertainty_score":0.3774286},"labels":[],"label_agreement":null},{"id":"W4408346255","doi":"10.32628/ijserset242435","title":"Virtual Reality (VR) and Augmented Reality (AR) in Medicine: A Review of Clinical Applications","year":2024,"lang":"en","type":"review","venue":"International Journal of Scientific Research in Science Engineering and Technology","topic":"Augmented Reality Applications","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Regent College","funders":"","keywords":"Augmented reality; Virtual reality; Computer-mediated reality; Computer graphics (images); Computer science; Human–computer interaction; Multimedia; Mixed reality","score_opus":0.1973757615468105,"score_gpt":0.5318184944211715,"score_spread":0.334442732874361,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408346255","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00006024577,0.97141206,0.019685797,0.007157864,0.00084084825,0.0006444557,0.000022720347,0.00003423945,0.0001417643],"genre_scores_gemma":[0.002723246,0.99569976,0.0013431928,0.000008905616,0.000080222904,0.00009567633,0.000005316786,0.0000084996245,0.00003515615],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99444234,0.00022754277,0.0022991945,0.00082449394,0.0018189986,0.0003874454],"domain_scores_gemma":[0.99625254,0.00078018254,0.0006373079,0.0007689269,0.0013690509,0.00019197975],"candidate_categories":["metaresearch","sts"],"consensus_categories":[],"category_scores_codex":[0.028863221,0.00019271314,0.0010733654,0.006198957,0.00008718241,0.0001845745,0.0037306,0.0002150754,0.0000027396422],"category_scores_gemma":[0.0030715691,0.0001454476,0.000103404745,0.009180529,0.0034090579,0.00041894615,0.0014400035,0.0017201814,0.0000037224236],"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":[0.0000015611726,0.000104621045,0.000014201126,0.003989685,0.000038221697,0.000044831995,0.000055524844,0.000014029467,0.000034301316,0.09534501,0.00049193815,0.89986604],"study_design_scores_gemma":[0.00029955327,0.00014762745,0.000053523057,0.08594944,0.00004921282,0.00055803475,0.00007648942,0.00758954,0.00001518312,0.007905274,0.89714396,0.00021216687],"about_ca_topic_score_codex":0.000029678919,"about_ca_topic_score_gemma":0.0000108418835,"teacher_disagreement_score":0.8996539,"about_ca_system_score_codex":0.0003297084,"about_ca_system_score_gemma":0.0014422742,"threshold_uncertainty_score":0.9999897},"labels":[],"label_agreement":null},{"id":"W4410273301","doi":"10.32628/ijsrset2512316","title":"A Wearable Wisdom: ABI-Modal Behavioral Biometric Scheme for Smartwatch User Authentication","year":2025,"lang":"en","type":"article","venue":"International Journal of Scientific Research in Science Engineering and Technology","topic":"User Authentication and Security Systems","field":"Computer Science","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":"Smartwatch; Biometrics; Wearable computer; Modal; Computer science; Wearable technology; Authentication (law); Human–computer interaction; Scheme (mathematics); Speech recognition; Artificial intelligence; Computer security; Embedded system; Mathematics","score_opus":0.04888082781452869,"score_gpt":0.39349643974489024,"score_spread":0.34461561193036155,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410273301","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":[0.9262849,0.00034145365,0.062758185,0.007764776,0.002547603,0.00021110072,0.0000021434773,0.000040746538,0.000049068],"genre_scores_gemma":[0.98753136,0.000022466213,0.012015355,0.000006632383,0.000025949113,0.000022188942,4.7854047e-7,0.0000031440443,0.0003724151],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99779695,0.00002582673,0.00042589073,0.0003630258,0.0010140135,0.00037428754],"domain_scores_gemma":[0.9973302,0.00016349411,0.000100795805,0.0003221023,0.0019967994,0.000086616565],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005881644,0.000076395525,0.00013924974,0.00986342,0.00019837185,0.00086857297,0.0024565167,0.00007606573,0.0000020282564],"category_scores_gemma":[0.0008688784,0.00006975607,0.000036188052,0.007938562,0.00071913976,0.00083788874,0.00039221396,0.00030998795,0.0000042440342],"study_design_candidate":"simulation_or_modeling","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":[0.000026330466,0.0005668009,0.013661791,0.000058708247,0.00004808757,0.000031700296,0.0035938239,0.0000888098,0.3797786,0.5553533,0.00060112996,0.046190973],"study_design_scores_gemma":[0.0022528504,0.0003572674,0.010576961,0.00075300934,0.000008499722,0.00021314868,0.0008700456,0.822559,0.06662184,0.048973408,0.046458777,0.00035521007],"about_ca_topic_score_codex":0.000012310742,"about_ca_topic_score_gemma":0.0000034243014,"teacher_disagreement_score":0.8224702,"about_ca_system_score_codex":0.00021714065,"about_ca_system_score_gemma":0.00046099452,"threshold_uncertainty_score":0.8801027},"labels":[],"label_agreement":null},{"id":"W4410915794","doi":"10.32628/ijsrset241482","title":"A Conceptual Framework for AI-Enhanced Investment Decision-Making in Venture Capital: Unlocking Opportunities in Emerging Markets","year":2024,"lang":"en","type":"article","venue":"International Journal of Scientific Research in Science Engineering and Technology","topic":"Private Equity and Venture Capital","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hatch (Canada)","funders":"","keywords":"Venture capital; Social venture capital; Business; Investment (military); Conceptual framework; Emerging markets; Capital investment; Conceptual model; Industrial organization; Finance; Computer science; Political science","score_opus":0.054880220876309005,"score_gpt":0.36687842738323573,"score_spread":0.3119982065069267,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410915794","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":[0.98491037,0.001280441,0.006211797,0.0039652204,0.0033400487,0.00015505339,0.0000018137301,0.00002308728,0.000112179456],"genre_scores_gemma":[0.99801856,0.00006260875,0.0016433313,0.00005745796,0.00018329611,0.000013499604,0.0000010150792,0.000008591029,0.000011662497],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.998043,0.0000083140685,0.00040016693,0.00030805854,0.00083218474,0.00040825506],"domain_scores_gemma":[0.9989598,0.00038240428,0.000074840595,0.00011170551,0.00045183516,0.000019411895],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0048544747,0.00009387696,0.00015375539,0.007443394,0.00008133655,0.0008977313,0.0008509458,0.000090937654,0.000012636003],"category_scores_gemma":[0.0022587846,0.00008621154,0.000033139975,0.002679332,0.0005914889,0.0014617781,0.00041047845,0.00072192645,0.0000028631023],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000611984,0.00007021538,0.0025731458,0.00009299805,0.00001566838,0.0004810245,0.0010591627,0.005241222,0.009849293,0.93293166,0.00015260559,0.047471832],"study_design_scores_gemma":[0.0012416864,0.00009619414,0.004959141,0.012880815,0.0000066450416,0.00011021334,0.013986815,0.24325716,0.0020504645,0.68649673,0.034454066,0.00046007792],"about_ca_topic_score_codex":0.000005992225,"about_ca_topic_score_gemma":0.000014938379,"teacher_disagreement_score":0.24643491,"about_ca_system_score_codex":0.00026771732,"about_ca_system_score_gemma":0.00021235009,"threshold_uncertainty_score":0.86568433},"labels":[],"label_agreement":null},{"id":"W4416074288","doi":"10.32628/ijsrset2513860","title":"Fire Detection Using Deep Learning","year":2025,"lang":"","type":"article","venue":"International Journal of Scientific Research in Science Engineering and Technology","topic":"Fire Detection and Safety Systems","field":"Engineering","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":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Deep learning; Fire detection; Convolutional neural network; Fire alarm system; Object detection; Artificial neural network; ALARM","score_opus":0.026664208028516625,"score_gpt":0.3369565944370934,"score_spread":0.3102923864085768,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416074288","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":[0.9701958,0.0029172862,0.0133643905,0.000816451,0.012247391,0.00013439219,0.0000011112494,0.000057317524,0.00026588037],"genre_scores_gemma":[0.99854505,0.0004003258,0.00072961574,0.000001826239,0.00012623084,0.0000040232426,1.8102837e-7,0.000012511605,0.00018024824],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99657303,0.000071833536,0.0008219099,0.00041985448,0.0014610915,0.00065229315],"domain_scores_gemma":[0.99725056,0.00020582235,0.00013993638,0.00022131775,0.0020487504,0.0001336179],"candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.008273188,0.00016808907,0.00028072344,0.011921462,0.00047368184,0.0008515502,0.0012599798,0.00023489606,0.000010294416],"category_scores_gemma":[0.002136679,0.00017580314,0.000060409362,0.008997914,0.0014324747,0.00073620846,0.00036188064,0.0019077791,0.0000055355554],"study_design_candidate":"simulation_or_modeling","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":[0.000032611424,0.000053044954,0.0021197738,0.0000933078,0.000075051874,0.00014761103,0.00047910193,0.23638296,0.4787912,0.0026559012,0.000008803727,0.27916062],"study_design_scores_gemma":[0.00045223904,0.000087367,0.0009961047,0.00092844525,0.0000053623094,0.0004068359,0.0011085167,0.9503162,0.036555972,0.00062652695,0.008377296,0.00013916232],"about_ca_topic_score_codex":0.000036777023,"about_ca_topic_score_gemma":0.000015377396,"teacher_disagreement_score":0.7139332,"about_ca_system_score_codex":0.0011350269,"about_ca_system_score_gemma":0.00039474867,"threshold_uncertainty_score":0.9992776},"labels":[],"label_agreement":null},{"id":"W7128080566","doi":"10.32628/ijsrset242437","title":"A Trustworthy AI and Data Governance Architecture for Ensuring Integrity and Ethics in Large Language Model Deployments across Enterprise Platforms","year":2024,"lang":"","type":"article","venue":"International Journal of Scientific Research in Science Engineering and Technology","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","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":"Institute on Governance","funders":"","keywords":"Data governance; Corporate governance; Accountability; Enterprise architecture; Operationalization; General Data Protection Regulation; Data integrity; Information governance; Scalability","score_opus":0.10913460944861335,"score_gpt":0.49589625323097897,"score_spread":0.3867616437823656,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7128080566","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":[0.96269584,0.004848282,0.0030342315,0.027433977,0.0015184057,0.00022797528,0.00019160233,0.00001815324,0.00003152025],"genre_scores_gemma":[0.9944473,0.003766682,0.0015207838,0.000036155776,0.00012518081,0.0000057456627,0.0000019664137,0.000012133284,0.000084044405],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9958693,0.000055826982,0.0005460399,0.0007040203,0.0019286185,0.0008961969],"domain_scores_gemma":[0.9974668,0.0009221607,0.00011969692,0.00026003088,0.000998405,0.00023288772],"candidate_categories":["metaresearch","sts","scholarly_communication","research_integrity"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.034283746,0.0001580066,0.0002710468,0.0017437777,0.0006415579,0.0025414228,0.0019758919,0.0003761661,0.000002339087],"category_scores_gemma":[0.010174626,0.00013924271,0.000032881133,0.0021868208,0.0037705244,0.0020690372,0.0015740928,0.004487954,4.07542e-7],"study_design_candidate":"simulation_or_modeling","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":[0.0003174304,0.00054028694,0.024032226,0.0008638026,0.00021568901,0.0010760293,0.30339974,0.0048441463,0.024242878,0.35880297,0.00032240374,0.28134242],"study_design_scores_gemma":[0.0012729346,0.00021384684,0.0021689055,0.0037065735,0.000009949464,0.0001450601,0.017187761,0.8746833,0.00084548775,0.094380416,0.0050240313,0.00036169955],"about_ca_topic_score_codex":0.000222389,"about_ca_topic_score_gemma":0.001875009,"teacher_disagreement_score":0.8698392,"about_ca_system_score_codex":0.00035349574,"about_ca_system_score_gemma":0.0014806106,"threshold_uncertainty_score":0.99894065},"labels":[],"label_agreement":null}]}