{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":21,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":21,"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":"03a03d589c21","filters":{"venue":"International Journal of Basic and Applied Sciences"}},"results":[{"id":"W4410727826","doi":"10.14419/sxnnhw10","title":"Comprehensive analysis of manet routing protocols and quality of service metrics","year":2025,"lang":"en","type":"article","venue":"International Journal of Basic and Applied Sciences","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Computer science; Mobile ad hoc network; Quality of service; Routing (electronic design automation); Routing protocol; Computer network","authors":[{"name":"Saradha S","is_ca":false},{"name":"S. Kayalvili","is_ca":true},{"name":"Gurunath T. Chavan","is_ca":false},{"name":"M. P. Bobby","is_ca":false},{"name":"Shital Dongre","is_ca":false},{"name":"B. Jegajothi","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05261432576009362,"gpt":0.355744820877298,"spread":0.3031304951172044,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001080524,0.00006624451,0.0003017845,0.0005272894,0.00005011375,0.00008772228,0.0008201281,0.0000270168,0.00000431567],"category_scores_gemma":[0.00004220649,0.00005182558,0.00005369787,0.001643006,0.0001790803,0.0002032953,0.0002511917,0.00008389909,8.888826e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001440427,"about_ca_system_score_gemma":0.00008961568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000431322,"about_ca_topic_score_gemma":0.00001664246,"domain_scores_codex":[0.998574,0.0000481509,0.0005593743,0.0001583642,0.0005760984,0.00008398693],"domain_scores_gemma":[0.9981652,0.0005081276,0.0007014195,0.0000956048,0.0004939981,0.00003557148],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000113475,0.0001933138,0.08548095,0.0001181081,0.00135051,0.000004634512,0.00144697,0.02112706,0.01164712,0.7795445,0.0001033587,0.09886996],"study_design_scores_gemma":[0.002371397,0.0003201888,0.6061534,0.0004834299,0.0003190862,0.00002658879,0.002079453,0.3454829,0.01805679,0.0231268,0.00120758,0.0003723796],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7837057,0.0002087167,0.2119937,0.0009257636,0.0001553542,0.0006053091,0.000005750395,0.000005930836,0.002393727],"genre_scores_gemma":[0.9879327,0.00001777444,0.01168626,0.0003204062,0.00001986441,0.00001407716,3.164703e-7,8.301303e-7,0.000007806078],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7564178,"threshold_uncertainty_score":0.2113386,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4413130549","doi":"10.14419/zr181f21","title":"Assessing The Impact of The Homotopy Perturbation Method on Computational Performance in AI Systems","year":2025,"lang":"en","type":"article","venue":"International Journal of Basic and Applied Sciences","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Computer science; Robustness (evolution); Artificial intelligence; Reinforcement learning; Fuzzy logic; Computation; Machine learning; Homotopy perturbation method; Perturbation (astronomy); Homotopy; Algorithm; Mathematics","authors":[{"name":"B Mohanambal","is_ca":false},{"name":"K. Gomathi.","is_ca":false},{"name":"R. Kulandaivelu.","is_ca":false},{"name":"Venkata Rajesh Mekala","is_ca":true},{"name":"C. Selvamani","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0238521438680053,"gpt":0.389858343134066,"spread":0.3660061992660607,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001440618,0.00004155129,0.00007608554,0.0001411593,0.0002644481,0.0001659018,0.0002815359,0.00002401123,0.000005362443],"category_scores_gemma":[0.0000657344,0.00002187964,0.0000385106,0.00032593,0.0002311059,0.0002490148,0.000007569864,0.0001046721,1.587409e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000568567,"about_ca_system_score_gemma":0.0003589841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001013862,"about_ca_topic_score_gemma":0.00001073252,"domain_scores_codex":[0.999065,0.00009378007,0.0002422561,0.00006480789,0.0004719769,0.0000622185],"domain_scores_gemma":[0.9991717,0.000359395,0.0002448913,0.00002548481,0.0001847007,0.00001378343],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00001810065,0.00002720581,0.07277428,0.000002814513,0.00001724238,2.276185e-7,0.002642084,0.8364961,0.00004510813,0.08319502,0.00007405379,0.004707807],"study_design_scores_gemma":[0.0003969406,0.00004448805,0.9031225,0.0002499337,0.00001033172,0.000003999054,0.005405692,0.0839885,0.0001141577,0.00635594,0.0002527426,0.00005476215],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9654535,0.00006131479,0.01959231,0.003040596,0.0004572167,0.00009500197,0.000002262872,0.00000314411,0.01129464],"genre_scores_gemma":[0.9989719,0.0000208064,0.0007470234,0.0001343768,0.00005218668,0.000001530335,6.607703e-7,9.550038e-7,0.00007051577],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8303483,"threshold_uncertainty_score":0.2033948,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4412494709","doi":"10.14419/mwb8ve64","title":"Gesture Language Recognition Through Computer Vision and a Spatial-Temporal Mathematical Model","year":2025,"lang":"en","type":"article","venue":"International Journal of Basic and Applied Sciences","topic":"Hand Gesture Recognition Systems","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Gesture; Computer science; Gesture recognition; Artificial intelligence; Human–computer interaction; Computer vision; Speech recognition; Computer graphics (images)","authors":[{"name":"S. Manikandan","is_ca":false},{"name":"Tagadur Suma","is_ca":false},{"name":"P. Dhanalakshmi","is_ca":true},{"name":"K. C. Rajheshwari","is_ca":false},{"name":"T. Tamilselvi","is_ca":false},{"name":"V. Subedha","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0206910363272568,"gpt":0.2986150721000214,"spread":0.2779240357727646,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005721184,0.00009163005,0.000166343,0.0001576703,0.00009446418,0.0003116384,0.0003914305,0.00004734303,0.000006336689],"category_scores_gemma":[0.00001952326,0.00006295149,0.00003705705,0.0001430354,0.0001424232,0.0004240981,0.0001402523,0.0001169223,0.000004606355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001521409,"about_ca_system_score_gemma":0.00007534592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009334104,"about_ca_topic_score_gemma":0.000006240091,"domain_scores_codex":[0.9989442,0.00003047656,0.0003083026,0.0001896941,0.000430033,0.00009725345],"domain_scores_gemma":[0.9994249,0.0001335895,0.0001880814,0.00005966731,0.0001468588,0.00004687163],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006606563,0.0002027459,0.0005808716,0.00005954747,0.0001127368,0.00005503044,0.005349959,0.0005115371,0.003584541,0.109663,0.00212423,0.8776897],"study_design_scores_gemma":[0.002414807,0.0003896705,0.002785982,0.001071772,0.00004176808,0.001056442,0.001259971,0.5292451,0.005802487,0.4542541,0.001243054,0.0004348294],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1276215,0.0001608743,0.8640198,0.00263772,0.0003048406,0.00007065612,0.000002766717,0.00001445648,0.005167382],"genre_scores_gemma":[0.9357983,0.00003579914,0.06324978,0.0007153869,0.0001478453,0.00000231418,9.587745e-7,0.000001870006,0.00004774291],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8772549,"threshold_uncertainty_score":0.3005136,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4410124430","doi":"10.14419/ng64k698","title":"Strategic supply chain optimization for eco-friendly products: impact of preservation investment, carbon tax, marketing strategy and pricing on environmental sustainability","year":2025,"lang":"en","type":"article","venue":"International Journal of Basic and Applied Sciences","topic":"Sustainable Supply Chain Management","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":"Canadian Institutes of Health Research","funders":"","keywords":"Sustainability; Business; Supply chain; Environmentally friendly; Investment (military); Environmental economics; Carbon tax; Industrial organization; Greenhouse gas; Marketing; Economics","authors":[{"name":"Sachin Kumar Verma","is_ca":false},{"name":"Anupama Sharma","is_ca":false},{"name":"Аміт Кумар","is_ca":false},{"name":"Vipin Kumar","is_ca":false},{"name":"Sanjay Sharma","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01225687057709473,"gpt":0.2538359951407629,"spread":0.2415791245636681,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001699114,0.0001273389,0.0001624675,0.0004871494,0.0001284516,0.0002530913,0.000243082,0.00002997391,0.00001519954],"category_scores_gemma":[0.0002283087,0.0001026422,0.00004100165,0.0002724373,0.0001696705,0.0006309419,0.0001132321,0.00007465338,5.842044e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001859417,"about_ca_system_score_gemma":0.0001335485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008694662,"about_ca_topic_score_gemma":0.000004787871,"domain_scores_codex":[0.9988332,0.0000206484,0.0003877209,0.0002345282,0.0003569044,0.0001669932],"domain_scores_gemma":[0.9990187,0.0001403328,0.0005245715,0.00006760988,0.0002359097,0.00001284753],"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":[0.001763963,0.0005558694,0.0918688,0.001033146,0.0003808807,0.0000100961,0.0004001929,0.6383458,0.003240247,0.2324396,0.0005049671,0.02945637],"study_design_scores_gemma":[0.005548027,0.0007799458,0.1939924,0.00052021,0.0002362652,0.00000884436,0.03764535,0.6229816,0.001356483,0.1350151,0.001233952,0.0006818384],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919315,0.00008642399,0.001084234,0.00141539,0.000119784,0.0005085194,0.000004320017,0.000006654072,0.004843161],"genre_scores_gemma":[0.998799,0.00002071846,0.0007336807,0.000151563,0.0001820451,0.00001526365,0.000008960111,0.000005516744,0.00008329078],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1021236,"threshold_uncertainty_score":0.4185629,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4414492077","doi":"10.14419/nb420z19","title":"A Scientometric Review of Neural Differential Equations: Mapping Research Impact and Collaborative Networks","year":2025,"lang":"en","type":"article","venue":"International Journal of Basic and Applied Sciences","topic":"Mental Health Research Topics","field":"Psychology","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":"Scopus; Artificial neural network; Scientometrics; Dominance (genetics); Differential (mechanical device); Thematic map; Class (philosophy); Thematic analysis","authors":[{"name":"Tintumol Sunny","is_ca":false},{"name":"V G Sreena","is_ca":false},{"name":"Jaimy Sarah Jacob","is_ca":false},{"name":"Preetha Mathew","is_ca":false},{"name":"V Sunila","is_ca":false},{"name":"Jobin Jose","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1690727484829079,"gpt":0.5452636431225737,"spread":0.3761908946396658,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003216282,0.00005936537,0.0001779907,0.001246597,0.0001622201,0.00008433829,0.0003669753,0.0000290875,0.0001870468],"category_scores_gemma":[0.0003836198,0.00004160224,0.00003101992,0.002165291,0.0006460557,0.0001120708,0.0001291755,0.0002448662,0.000001021446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006640066,"about_ca_system_score_gemma":0.0002493027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002107095,"about_ca_topic_score_gemma":0.000002435073,"domain_scores_codex":[0.9981844,0.0001833875,0.000406387,0.0001481542,0.0008829266,0.0001947142],"domain_scores_gemma":[0.9981769,0.0008297947,0.0002262915,0.00005677768,0.0006217806,0.00008842343],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0006321612,0.0005615646,0.0339821,0.001029749,0.0004511702,0.00003172146,0.002579035,0.0001696542,0.001717732,0.2092134,0.01343225,0.7361995],"study_design_scores_gemma":[0.01005219,0.00406749,0.8660663,0.02173856,0.000129736,0.0003108997,0.02221077,0.03003308,0.001085363,0.02933268,0.01420632,0.0007665513],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8978764,0.07183702,0.007693594,0.004530417,0.001221791,0.0005302614,0.00001627249,0.000004379581,0.01628988],"genre_scores_gemma":[0.9951161,0.004138057,0.0002373209,0.0002325531,0.0001057747,0.000007872552,9.626953e-7,0.000001645097,0.0001597228],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8320842,"threshold_uncertainty_score":0.2380419,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4411885954","doi":"10.14419/y2zvbk18","title":"Enhancing Cryptocurrency Market Predictability Using Artificial Intelligence: A Platform for Predicting Prices and Trends of Bitcoin, Ethereum, and Cardano","year":2025,"lang":"en","type":"article","venue":"International Journal of Basic and Applied Sciences","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Cryptocurrency; Predictability; Computer science; Econometrics; Artificial intelligence; Economics; Mathematics; Computer security; Statistics","authors":[{"name":"Y. Suganya","is_ca":false},{"name":"Ch. Sudha Sree","is_ca":false},{"name":"S. Kayalvili","is_ca":true},{"name":"M. Sowmya Vani","is_ca":false},{"name":"K Sivakrishna","is_ca":false},{"name":"Rahul Reddy","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02502599559451664,"gpt":0.306947029737809,"spread":0.2819210341432924,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001301917,0.00008433334,0.0001775023,0.0003422895,0.0001920202,0.0001047187,0.0004767122,0.00006096683,0.000003422445],"category_scores_gemma":[0.00008894991,0.00006769525,0.00003320183,0.0003349736,0.0004819873,0.0002366913,0.0001919201,0.0001229408,1.875754e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001912482,"about_ca_system_score_gemma":0.0001015523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001140292,"about_ca_topic_score_gemma":0.00001603822,"domain_scores_codex":[0.9989564,0.00001158892,0.0004499831,0.000226621,0.0002386399,0.0001167192],"domain_scores_gemma":[0.9990466,0.0003279895,0.000331544,0.00008102997,0.0001752677,0.00003754884],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004743369,0.00007554739,0.00557573,0.0000447443,0.00006013891,5.868529e-7,0.001107681,0.00005545373,0.005390622,0.6013358,0.00001595589,0.3862903],"study_design_scores_gemma":[0.0004912479,0.0003475129,0.01231208,0.0003115529,0.00006073099,0.0001067872,0.003300075,0.2017665,0.05545256,0.7252995,0.0003043549,0.0002470936],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6130056,0.0003748864,0.3854139,0.0005603825,0.0001438283,0.00007475302,0.00000528313,0.000008957212,0.0004123379],"genre_scores_gemma":[0.9522614,0.0000637925,0.04758887,0.00003201926,0.00004271349,0.00000641481,1.729462e-7,0.000001368207,0.000003219035],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3860432,"threshold_uncertainty_score":0.2760532,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4410599672","doi":"10.14419/05tz0p10","title":"Machine learning-based predictive maintenance: enhancing industrial reliability through data-driven approaches","year":2025,"lang":"en","type":"article","venue":"International Journal of Basic and Applied Sciences","topic":"Machine Fault Diagnosis Techniques","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":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Computer science; Reliability (semiconductor); Predictive maintenance; Reliability engineering; Machine learning; Artificial intelligence; Engineering","authors":[{"name":"S.J. Subhashini","is_ca":false},{"name":"Syed Asif Basha","is_ca":false},{"name":"B. Srinivasa Rao","is_ca":false},{"name":"S. Gayathri","is_ca":true},{"name":"Amol Mangrulkar","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04241981567101291,"gpt":0.2997693912834461,"spread":0.2573495756124332,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009633682,0.0001218358,0.0001994556,0.000158608,0.00009109953,0.000101925,0.0007983059,0.00006448608,0.00001958741],"category_scores_gemma":[0.0002682094,0.00009453038,0.0000385756,0.0001987062,0.0002577428,0.000326633,0.0001388024,0.0004076723,7.285593e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008003195,"about_ca_system_score_gemma":0.0001160424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001836949,"about_ca_topic_score_gemma":0.00001191551,"domain_scores_codex":[0.9988146,0.00003383362,0.0003879061,0.0002096604,0.0004154982,0.0001384746],"domain_scores_gemma":[0.999335,0.0002762619,0.0001486549,0.0001174411,0.00008554916,0.00003711079],"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":[0.000418411,0.0003854948,0.06144315,0.0001134605,0.0004746776,0.00002518814,0.00101018,0.8148866,0.003326806,0.0212441,0.01498042,0.08169151],"study_design_scores_gemma":[0.00223598,0.0002892252,0.004097905,0.0005948873,0.00008977133,0.00002799599,0.0007596939,0.9143043,0.0393776,0.01188974,0.02593181,0.0004010929],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.51478,0.0008409816,0.4451215,0.003571949,0.001863048,0.0004778962,0.0001201843,0.0002863719,0.03293808],"genre_scores_gemma":[0.9928196,0.0001059362,0.006739277,0.0001157645,0.0001793395,0.000008163884,0.00001017917,0.000005791457,0.00001592777],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4780397,"threshold_uncertainty_score":0.3854837,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4414331349","doi":"10.14419/zxxek146","title":"Optimized Random Forest Classifier for Predicting Ideal Candidate for The General Election","year":2025,"lang":"en","type":"article","venue":"International Journal of Basic and Applied Sciences","topic":"Sentiment Analysis and Opinion Mining","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":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Random forest; Ideal point; Hyperparameter; Classifier (UML); Popularity; Ideal (ethics); Naive Bayes classifier; Bayesian probability; Mean squared error","authors":[{"name":"K. Raju","is_ca":true},{"name":"Raja Lavanya","is_ca":false},{"name":"R. V. S. Lalitha","is_ca":false},{"name":"R. Sıva Subramanıan","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02004122560492636,"gpt":0.3072528200951429,"spread":0.2872115944902165,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001162724,0.00006043242,0.00012184,0.0001579303,0.0003310703,0.0003683617,0.0005802585,0.00001947278,0.000002840269],"category_scores_gemma":[0.00006004665,0.00003610256,0.00009781378,0.0001631878,0.00008253047,0.000218024,0.00005559488,0.00005371282,1.306816e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001993313,"about_ca_system_score_gemma":0.0001059546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007914509,"about_ca_topic_score_gemma":0.000007392856,"domain_scores_codex":[0.9991802,0.00001267904,0.0002862197,0.0001390431,0.0002700722,0.0001117783],"domain_scores_gemma":[0.9989797,0.0005239352,0.0002458167,0.00004747997,0.0001783257,0.00002469564],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00111215,0.00009391503,0.00902264,0.00001623002,0.0009473289,0.000001679133,0.0009425717,0.07043317,0.004825956,0.6546186,0.0136861,0.2442997],"study_design_scores_gemma":[0.003498581,0.00008714393,0.001937692,0.00003778727,0.00005385845,0.00001226099,0.0003095596,0.9698161,0.0028768,0.01353627,0.007752389,0.00008149094],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03935888,0.000195205,0.9542655,0.004308903,0.001086423,0.0001398696,0.000001603404,0.000005793886,0.0006378264],"genre_scores_gemma":[0.9480691,0.00007139029,0.05062223,0.0005367139,0.0004200486,0.00002326055,0.00000124785,0.000001881214,0.0002541452],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9087102,"threshold_uncertainty_score":0.355212,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4414259532","doi":"10.14419/ghjt2t64","title":"Predictive Modeling and Big Data Analytics for Optimizing Refractory Material Composition and Performance Evaluation","year":2025,"lang":"en","type":"article","venue":"International Journal of Basic and Applied Sciences","topic":"Industrial Technology and Control Systems","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":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Leverage (statistics); Big data; Raw data; Consistency (knowledge bases); Field (mathematics); Predictive analytics; Analytics; Production (economics); Data analysis","authors":[{"name":"A. Emmanuel Peo Mariadas","is_ca":false},{"name":"R. Radha","is_ca":false},{"name":"P. Immaculate Rexi Jenifer","is_ca":false},{"name":"S. Praveen Kumar","is_ca":false},{"name":"Ravikanth Garladinne","is_ca":false},{"name":"P. Dhanalakshmi","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06224502777088713,"gpt":0.2892550451883421,"spread":0.227010017417455,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007128232,0.00004459074,0.00008580523,0.0001247878,0.00008667031,0.00006801778,0.0001387074,0.00004397405,7.062829e-7],"category_scores_gemma":[0.00001546359,0.0000373921,0.000006340505,0.00004196174,0.00007461646,0.0001877107,0.00003617111,0.00006699894,2.657211e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002262452,"about_ca_system_score_gemma":0.00003313137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001304326,"about_ca_topic_score_gemma":7.645205e-7,"domain_scores_codex":[0.9995454,0.000007230949,0.0001737398,0.00008051532,0.000140662,0.00005243296],"domain_scores_gemma":[0.9997697,0.00004100477,0.00006121472,0.00003302577,0.00008195341,0.00001307585],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007504042,0.00003604809,0.001239331,0.00006598647,0.0004257935,0.000001372658,0.0003976362,0.3346937,0.03930134,0.006827745,0.0002488624,0.6160118],"study_design_scores_gemma":[0.0005777217,0.00004690692,0.0002177134,0.00008035162,0.00003974797,0.00001123072,0.0002585905,0.9966779,0.001226991,0.0007566417,0.00006836055,0.0000378894],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9375287,0.0002574131,0.06074615,0.000159215,0.0007329841,0.00009572695,0.00001761543,0.000008772646,0.0004534502],"genre_scores_gemma":[0.9987622,0.0001515558,0.0008355732,0.00001630643,0.000222543,0.000003490331,0.000004845455,0.000001597838,0.000001901031],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6619841,"threshold_uncertainty_score":0.1524806,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4412091361","doi":"10.14419/9g302r53","title":"Deep Learning-Based Classification of Comments and Reviews for Sustainable Development Goals (SDGs) with Web Application Implementation","year":2025,"lang":"en","type":"article","venue":"International Journal of Basic and Applied Sciences","topic":"Sentiment Analysis and Opinion Mining","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":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Computer science; Sustainable development; Process management; Artificial intelligence; Data science; Business; Political science","authors":[{"name":"D. Dhanya","is_ca":false},{"name":"S. Kalaivany","is_ca":false},{"name":"M. Suresh Anand","is_ca":false},{"name":"Rakhi Rakhi","is_ca":false},{"name":"G. Jaya Raju","is_ca":false},{"name":"Anurag Vijay Agrawal","is_ca":false},{"name":"Nithya Rekha Sivakumar","is_ca":true},{"name":"Ravindra Jogekar","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02311261958805618,"gpt":0.3326079188192995,"spread":0.3094952992312433,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001070989,0.0000605625,0.0001341683,0.0002528046,0.0001508363,0.0001342032,0.0003004786,0.0000143103,0.000002897742],"category_scores_gemma":[0.00001737002,0.00004436433,0.00002370939,0.0002410286,0.00007055157,0.0002359083,0.00004493717,0.00003760989,2.16736e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000327151,"about_ca_system_score_gemma":0.0001256071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002378022,"about_ca_topic_score_gemma":0.000005084573,"domain_scores_codex":[0.9991138,0.00002336038,0.0003716212,0.0001440037,0.0002672713,0.00007993724],"domain_scores_gemma":[0.9990442,0.00009961736,0.0005193496,0.00004545027,0.0002661401,0.00002520405],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001202114,0.000163242,0.07074904,0.0001163537,0.000186272,9.030568e-7,0.001178862,0.002272878,0.01039604,0.2970439,0.0005768746,0.6171954],"study_design_scores_gemma":[0.009682724,0.001082531,0.178259,0.0007026753,0.0002175403,0.00001768905,0.02113595,0.572638,0.08401302,0.01245236,0.1190441,0.0007543375],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1314595,0.0003393348,0.866351,0.001207591,0.00004164716,0.0002102229,2.297973e-7,0.000004004401,0.0003865196],"genre_scores_gemma":[0.9693091,0.00006307086,0.03038876,0.00016033,0.00001566438,0.00002145638,0.000003612215,0.000001241949,0.00003677371],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8378496,"threshold_uncertainty_score":0.1809125,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4414210750","doi":"10.14419/b756d513","title":"Fusion of Nano Sensors and AI Models for Real-Time Plant Health Monitoring in Agricultural Ecosystem","year":2025,"lang":"en","type":"article","venue":"International Journal of Basic and Applied Sciences","topic":"Smart Agriculture and AI","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Agriculture; Sustainable agriculture; Productivity; Crop productivity; Transformative learning; Precision agriculture; Sensor fusion","authors":[{"name":"S. C.","is_ca":false},{"name":"Sonia Maria D’Souza","is_ca":true},{"name":"Bhawna Khokher","is_ca":true},{"name":"P. Prasad","is_ca":false},{"name":"Víctor H. López-Morelos","is_ca":false},{"name":"P. Balasubramanian","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01761803919410514,"gpt":0.2544188893178412,"spread":0.2368008501237361,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004618979,0.00007347784,0.0001887805,0.00004506045,0.0001028683,0.00005618727,0.000179937,0.00003430007,0.000003183679],"category_scores_gemma":[0.000009903836,0.00002542657,0.0000408649,0.0001649954,0.00005043898,0.0001505972,0.00004138712,0.0000540723,1.648858e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002250329,"about_ca_system_score_gemma":0.00002209524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005576736,"about_ca_topic_score_gemma":0.0000648502,"domain_scores_codex":[0.9991829,0.00001978439,0.0003240528,0.0001291486,0.0002301354,0.000113928],"domain_scores_gemma":[0.9994597,0.0001722375,0.0002142318,0.00001035542,0.0001005705,0.00004292681],"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":[0.0002414071,0.0001709582,0.01765774,0.00005093348,0.00006717702,0.000003793311,0.0009890357,0.001654056,0.9035068,0.02242912,0.001819907,0.05140909],"study_design_scores_gemma":[0.003316026,0.001888707,0.8136104,0.002898876,0.00005966255,0.000278658,0.01974363,0.005378838,0.1215414,0.02532591,0.00517257,0.0007852389],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956933,0.000193917,0.000009540476,0.003056292,0.0002036981,0.0001057549,0.00002525248,0.000003805099,0.0007084317],"genre_scores_gemma":[0.9991949,0.000254708,0.0002464516,0.00007128166,0.0001772569,0.000002774205,0.000003347207,2.341702e-7,0.00004907234],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7959527,"threshold_uncertainty_score":0.1036865,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4402855298","doi":"10.14419/qazymz95","title":"Model for detecting anomalies and suspicious transactions on financial and non-financial entries","year":2024,"lang":"en","type":"article","venue":"International Journal of Basic and Applied Sciences","topic":"Economic and Technological Developments in Russia","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Business; Finance; Economics","authors":[{"name":"Coulibaly Kpinna Tiekoura","is_ca":false},{"name":"Mambe Digrais Moïse","is_ca":false},{"name":"Diaby Moustapha","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0262103880515565,"gpt":0.2908783629205534,"spread":0.2646679748689969,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000562698,0.00006039556,0.00009842365,0.0001287435,0.0004253214,0.0002136588,0.0001396449,0.00005604713,0.00000844194],"category_scores_gemma":[0.00007891978,0.00004643188,0.00002513275,0.00006668675,0.0005779173,0.0001747433,0.00001229663,0.0001032982,4.194981e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002917657,"about_ca_system_score_gemma":0.0001963945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008037883,"about_ca_topic_score_gemma":0.00005699902,"domain_scores_codex":[0.9994007,0.000005954672,0.0001757728,0.0001361945,0.0001675748,0.0001138382],"domain_scores_gemma":[0.9996542,0.0001851552,0.00006734043,0.0000140216,0.00003560138,0.00004370359],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000827046,0.0000301274,0.0008800142,0.00001475695,0.00003116824,0.00000795159,0.006783519,0.0002775401,0.0002827185,0.5270837,0.0001697007,0.4643561],"study_design_scores_gemma":[0.001853433,0.000713425,0.01182443,0.0004870959,0.00008058056,0.0001043475,0.01199046,0.0386402,0.004851524,0.9060369,0.02270534,0.0007123068],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9421712,0.0002774268,0.05202612,0.002644668,0.0004752725,0.00008650196,0.000008182246,0.0000154283,0.002295233],"genre_scores_gemma":[0.9956458,0.0003485714,0.003529297,0.0001745378,0.0001368157,0.000005527354,9.202099e-8,0.000002045888,0.0001572862],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4636438,"threshold_uncertainty_score":0.3271272,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W7117385434","doi":"10.14419/gm9q9483","title":"Intelligent Collaborative Navigation Support for The Visually Impaired","year":2025,"lang":"","type":"article","venue":"International Journal of Basic and Applied Sciences","topic":"Tactile and Sensory Interactions","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Obstacle; Global Positioning System; Limiting; Object (grammar); Obstacle avoidance; Navigation system; Assistive technology","authors":[{"name":"Ashwini Sawant","is_ca":false},{"name":"Venkata Ramya T.","is_ca":false},{"name":"Nilima Warke","is_ca":false},{"name":"Vijay Shejwalkar","is_ca":true},{"name":"Mahesh Singh","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0369703251637472,"gpt":0.361544867232536,"spread":0.3245745420687888,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000703661,0.0001853523,0.0002443167,0.0003300148,0.0007729068,0.0007086823,0.0009338392,0.00006608,0.0001092408],"category_scores_gemma":[0.0004203872,0.0001234637,0.000155205,0.000587073,0.0009655806,0.0005128362,0.000105967,0.0002908739,0.00000790278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001066038,"about_ca_system_score_gemma":0.0008387257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006007523,"about_ca_topic_score_gemma":0.000007240548,"domain_scores_codex":[0.9978196,0.00006863073,0.0007923326,0.0003224937,0.000762809,0.0002341121],"domain_scores_gemma":[0.9960635,0.002183394,0.0007894827,0.00009903814,0.0007821545,0.0000824886],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002567632,0.001007108,0.0007877006,0.0000701357,0.0008543897,0.000052028,0.01029559,0.005523723,0.2936236,0.45943,0.01675473,0.2090334],"study_design_scores_gemma":[0.002210452,0.0015473,0.002168924,0.000506914,0.0003378058,0.0004134144,0.04471599,0.01212368,0.7708818,0.01099999,0.1536765,0.0004171581],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.846788,0.0006902094,0.06740177,0.03333791,0.02058353,0.001651883,0.0002358175,0.00002673937,0.02928408],"genre_scores_gemma":[0.9960441,0.0006383186,0.0003430568,0.001578027,0.0003952678,0.00001540277,0.000001413179,0.000005772471,0.0009786359],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4772582,"threshold_uncertainty_score":0.6833839,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4415958891","doi":"10.14419/zws03260","title":"Studying The Health Implications of Metro Rail Or Highway Construction on Local Communities","year":2025,"lang":"en","type":"article","venue":"International Journal of Basic and Applied Sciences","topic":"Environmental and Social Impact Assessments","field":"Environmental Science","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":"Public health; Plan (archaeology); Process (computing); Chronic bronchitis; Public transport; Community health; Noise pollution; Standard of living","authors":[{"name":"Pradeep T.S.","is_ca":false},{"name":"Parvathy Anu Lee","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03583651091937085,"gpt":0.3362140169079578,"spread":0.3003775059885869,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005191555,0.00005220259,0.0001009928,0.00005367629,0.0002933867,0.00003907938,0.0003528729,0.00001379706,0.00011512],"category_scores_gemma":[0.00000880151,0.00002958976,0.00002762354,0.0001417144,0.001099285,0.0001148557,0.0001051797,0.00009532311,0.000001911174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001288918,"about_ca_system_score_gemma":0.00004525038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001363872,"about_ca_topic_score_gemma":0.00009991657,"domain_scores_codex":[0.9992422,0.00004293498,0.000234956,0.00005795483,0.0003443833,0.00007760779],"domain_scores_gemma":[0.9994975,0.0001793134,0.0002342055,0.0000487041,0.00001047207,0.00002982674],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002814288,0.0005352538,0.3419782,0.00001142701,0.0002148693,0.000001359746,0.005619953,0.003809056,0.004140836,0.09669716,0.002738289,0.5439721],"study_design_scores_gemma":[0.001219072,0.000732196,0.8802645,0.0001376615,0.00003288003,0.00003378201,0.08558261,0.0002440736,0.004535289,0.02343882,0.003619356,0.0001598048],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9786383,0.00003430386,0.003491425,0.005759359,0.0002307676,0.0000748098,0.000005858775,0.000002714429,0.01176245],"genre_scores_gemma":[0.9981267,0.00008760207,0.0006689155,0.00103065,0.00002331087,0.000002332122,4.971668e-7,0.000001247677,0.00005872365],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5438123,"threshold_uncertainty_score":0.405036,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4414307008","doi":"10.14419/5fkr4104","title":"Autism Spectrum Disorder Prediction from Facial Images Using Fine-Tuned Efficient Net B0–B7 Architectures","year":2025,"lang":"en","type":"article","venue":"International Journal of Basic and Applied Sciences","topic":"Advanced Computing and Algorithms","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Autism spectrum disorder; Feature (linguistics); Pattern recognition (psychology); Net (polyhedron); Image (mathematics); Trustworthiness","authors":[{"name":"V. Krishnamoorthy","is_ca":false},{"name":"T. Veeramani","is_ca":true},{"name":"M. Indirani","is_ca":false},{"name":"B. R. Sathishkumar","is_ca":false},{"name":"G. Sasi","is_ca":false},{"name":"K. Selvakumarasamy","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01094754164404328,"gpt":0.3014763858044392,"spread":0.2905288441603959,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004979188,0.00009116552,0.0001384706,0.0001981669,0.0005689245,0.000195658,0.0003920181,0.00003982861,0.00003985954],"category_scores_gemma":[0.00005856226,0.00007321537,0.00004570041,0.0002198232,0.0005831738,0.00007756877,0.00007237696,0.0001541571,0.000001138994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005723907,"about_ca_system_score_gemma":0.000189832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003650157,"about_ca_topic_score_gemma":0.00008950876,"domain_scores_codex":[0.9986988,0.00004698832,0.00027452,0.0001857957,0.0006115674,0.0001823249],"domain_scores_gemma":[0.999456,0.000185666,0.0002129139,0.00003931385,0.00004539504,0.0000607093],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002911522,0.0003870713,0.02255394,0.00001166758,0.0003090152,0.00003813053,0.01158026,0.2866944,0.0116973,0.1471607,0.000905524,0.5183708],"study_design_scores_gemma":[0.005990732,0.0004177649,0.1394918,0.0009672023,0.0002311242,0.00007534475,0.01979684,0.09056604,0.01186646,0.6704068,0.05895201,0.001237944],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9278836,0.0003880474,0.06147847,0.003739223,0.001806663,0.00007466559,0.0000280291,0.00002344837,0.004577842],"genre_scores_gemma":[0.9942986,0.00003317501,0.004875986,0.0001247769,0.0005747611,8.287474e-7,0.000001596306,0.000002610818,0.00008763771],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.523246,"threshold_uncertainty_score":0.4375764,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4413376795","doi":"10.14419/hr0qaw42","title":"The Effectiveness of The Application of Artificial Intelligence in Teaching Students of Medical Institutions","year":2025,"lang":"en","type":"article","venue":"International Journal of Basic and Applied Sciences","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","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":"Computer science; Mathematics education; Artificial intelligence; Psychology; Medical education; Medicine","authors":[{"name":"Kanymgul Asanbek kyzy","is_ca":false},{"name":"S M Bakirov","is_ca":false},{"name":"Kanyshai Maksimova","is_ca":false},{"name":"Meerim Abdyraimova","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.08594966326198769,"gpt":0.4808769963113477,"spread":0.39492733304936,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003853468,0.00003982654,0.0001350126,0.0001437795,0.00009361909,0.00001271468,0.000475059,0.00003835059,0.000002748737],"category_scores_gemma":[0.0007060239,0.0000221245,0.00004163758,0.0002695805,0.0006752432,0.00004880468,0.00006359056,0.0001798444,1.81206e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003861725,"about_ca_system_score_gemma":0.0005677403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001944001,"about_ca_topic_score_gemma":0.00008054754,"domain_scores_codex":[0.9984265,0.00008588687,0.0005882366,0.00007276747,0.0007669799,0.0000596432],"domain_scores_gemma":[0.9985445,0.0008327574,0.0003018288,0.00006632448,0.0002304361,0.00002417841],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0003184915,0.0003251343,0.1164009,0.00006974988,0.00004206491,4.832717e-7,0.000867965,0.0005264408,0.007556395,0.5397426,0.000007882918,0.3341419],"study_design_scores_gemma":[0.0002704209,0.0003724786,0.4273942,0.003245225,0.00008448455,0.00004836077,0.01667826,0.005403219,0.356967,0.1889108,0.0005112443,0.0001141892],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9779572,0.0001539171,0.01809678,0.002370183,0.0004582996,0.0001594763,8.868781e-7,8.673716e-7,0.0008023446],"genre_scores_gemma":[0.999621,0.00009892844,0.0001642397,0.00005497885,0.00005132511,0.000005122909,2.530658e-7,9.051481e-7,0.000003231354],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3508318,"threshold_uncertainty_score":0.2487962,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4407972790","doi":"10.14419/qj024368","title":"Assessing the ecological health of some hydrosystems in central Ivory Coast using bioecological traits of aquatic macroinvertebrates","year":2025,"lang":"en","type":"article","venue":"International Journal of Basic and Applied Sciences","topic":"Freshwater macroinvertebrate diversity and ecology","field":"Environmental 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":"Department of Environment and Conservation","funders":"","keywords":"Ecology; Cote d ivoire; Invertebrate; Biology; Humanities","authors":[{"name":"Berté Siaka","is_ca":true},{"name":"Louis stevens Aimé","is_ca":false},{"name":"Aboua Benié Rose Danielle","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02722477061824405,"gpt":0.2866771412411805,"spread":0.2594523706229365,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001018594,0.00007087829,0.0002300706,0.0001075472,0.0001181962,0.00004445377,0.0004579676,0.00004269663,0.000105835],"category_scores_gemma":[0.00003513121,0.00004434022,0.00005331117,0.0001949362,0.001011019,0.0002710432,0.0001639732,0.0001179802,0.000001449698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001075169,"about_ca_system_score_gemma":0.0001069512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002034837,"about_ca_topic_score_gemma":0.0004373115,"domain_scores_codex":[0.998843,0.00009444953,0.0004515101,0.0001294639,0.000302373,0.0001792767],"domain_scores_gemma":[0.9993584,0.0001799064,0.0003765506,0.00003071961,0.00001322996,0.00004117586],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001086202,0.000646052,0.8901819,0.00005017393,0.00009841801,0.00002753594,0.00174953,0.02526436,0.05997576,0.01244576,0.000913305,0.008538607],"study_design_scores_gemma":[0.001998364,0.0006242,0.8703446,0.0002327243,0.00003421466,0.0001029419,0.0126294,0.0778773,0.0121435,0.02363195,0.0001592816,0.0002215345],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974189,0.0001021124,0.0002723137,0.001377802,0.0002720131,0.00007815011,0.000003080527,0.000001673822,0.0004739705],"genre_scores_gemma":[0.9987881,0.00002790756,0.0005052358,0.0006472693,0.00002122471,5.635694e-7,3.51883e-7,0.000001052764,0.00000833195],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05261294,"threshold_uncertainty_score":0.3725141,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4411182762","doi":"10.14419/s5wzx363","title":"Toward Pervasive Intelligence Systems: Looking Ahead in Cyber-physical World in Pervasive Computing","year":2025,"lang":"en","type":"article","venue":"International Journal of Basic and Applied Sciences","topic":"Advanced Malware Detection Techniques","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":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Ubiquitous computing; Cyber-physical system; Computer science; Context-aware pervasive systems; Computer security; Human–computer interaction; Operating system","authors":[{"name":"S. V. Manikanthan","is_ca":false},{"name":"L. R. Aravind Babu","is_ca":false},{"name":"Anu George","is_ca":false},{"name":"Dasari Teja Sri","is_ca":false},{"name":"M. Venkatesan","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02232016852533567,"gpt":0.312526134133809,"spread":0.2902059656084733,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007774277,0.0001225812,0.0002487929,0.0009765988,0.00007524332,0.0002482426,0.001143999,0.00003089241,0.000001509928],"category_scores_gemma":[0.0000861085,0.0001058605,0.00004919734,0.0009331529,0.0002120723,0.0005741924,0.0002933473,0.0003070438,0.000001346351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001707498,"about_ca_system_score_gemma":0.0001759488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003744177,"about_ca_topic_score_gemma":0.00005195057,"domain_scores_codex":[0.9984545,0.0000483645,0.000504631,0.0002972026,0.0005006032,0.0001947432],"domain_scores_gemma":[0.998964,0.0004190869,0.0002963622,0.00008717925,0.0001892323,0.00004415548],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006399836,0.0002086716,0.009386287,0.00004086634,0.00004252638,0.0001790725,0.005525775,0.03217644,0.002922902,0.6680143,0.00009070343,0.2813485],"study_design_scores_gemma":[0.002800457,0.0006945682,0.04257565,0.005306887,0.00002822473,0.0008285083,0.01892621,0.403214,0.1192828,0.4020244,0.002909921,0.001408302],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2852736,0.0002882935,0.7081957,0.0014082,0.000708997,0.0001426271,7.702563e-7,0.00003631988,0.003945401],"genre_scores_gemma":[0.985828,0.00003518548,0.01373251,0.0002663927,0.00009483034,0.000005278138,1.105707e-7,0.0000026671,0.00003497687],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7005544,"threshold_uncertainty_score":0.4316868,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4414127891","doi":"10.14419/x2wqqh31","title":"Enhancing SQL Query Performance: A Case Study on Optimizing Enterprise Data Processing","year":2025,"lang":"en","type":"article","venue":"International Journal of Basic and Applied Sciences","topic":"Cloud Computing and Resource Management","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":"Red Deer Polytechnic","funders":"","keywords":"Query plan; Query optimization; SQL; Scalability; Sargable; Cardinality (data modeling); Search engine indexing; Materialized view; Query by Example","authors":[{"name":"Karthik Sirigiri","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.028457097179871,"gpt":0.3080487626930515,"spread":0.2795916655131805,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00142183,0.00009341419,0.0001301425,0.0003220698,0.0003112397,0.00051312,0.00163908,0.00001543005,0.000001188048],"category_scores_gemma":[0.00002457421,0.00006793764,0.00002274599,0.0002797064,0.00008652164,0.0001515323,0.0008505253,0.0001522594,9.554151e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003333318,"about_ca_system_score_gemma":0.0001178555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000107013,"about_ca_topic_score_gemma":0.000003633918,"domain_scores_codex":[0.9986755,0.00002743545,0.0003345613,0.0002924168,0.0005354015,0.0001346995],"domain_scores_gemma":[0.9993442,0.000107994,0.0002318295,0.0001865204,0.00008756627,0.00004185854],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006423747,0.000644945,0.00571895,0.00004078355,0.0001668316,0.001152497,0.008423302,0.0262098,0.0006002855,0.003599824,0.0003796803,0.9529989],"study_design_scores_gemma":[0.003107696,0.001036906,0.005599277,0.001669309,0.00008589589,0.003474863,0.04574883,0.932691,0.00326582,0.000993476,0.001748773,0.0005781398],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9171572,0.0001071167,0.07868455,0.0007340429,0.0004976258,0.00007449432,3.049506e-7,0.00001738717,0.002727335],"genre_scores_gemma":[0.9914753,0.000007222653,0.007983251,0.0003529012,0.0001236167,0.000001348727,1.024621e-7,0.000001890686,0.00005437363],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9524207,"threshold_uncertainty_score":0.4948028,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4410727883","doi":"10.14419/jvvyjn56","title":"Design and development of a comprehensive learning management system (LMS) with integrated machine learning for personalized","year":2025,"lang":"en","type":"article","venue":"International Journal of Basic and Applied Sciences","topic":"Online Learning and Analytics","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":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Computer science; Learning Management; Integrated learning; Artificial intelligence; Multimedia; Engineering","authors":[{"name":"R Subbulakshmi","is_ca":false},{"name":"V Karpagam","is_ca":false},{"name":"T. Veeramani","is_ca":true},{"name":"M Yogadharani","is_ca":false},{"name":"M. Jayasri","is_ca":false},{"name":"N. Sangeetha","is_ca":false},{"name":"P Soundharya","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02192727663186233,"gpt":0.2766366133341349,"spread":0.2547093367022725,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006587539,0.00008615707,0.0001784364,0.0002640506,0.000191852,0.0001322237,0.000358433,0.00001790711,9.380225e-7],"category_scores_gemma":[0.00001254461,0.00005886595,0.00002138017,0.0001928328,0.0001439006,0.0001044788,0.00009056518,0.0001328149,1.969921e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000292486,"about_ca_system_score_gemma":0.0001383459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001871488,"about_ca_topic_score_gemma":5.452839e-7,"domain_scores_codex":[0.9990965,0.00004189166,0.0002738189,0.0001585236,0.0003317856,0.00009745586],"domain_scores_gemma":[0.9991886,0.0002030199,0.0002947782,0.00002988235,0.0002497542,0.00003398461],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007034528,0.0001658566,0.005877024,0.000385562,0.001137177,0.0000412368,0.006134373,0.1378732,0.00453069,0.392962,0.00007365925,0.4501157],"study_design_scores_gemma":[0.004310542,0.0006874545,0.001972552,0.001536984,0.00008596502,0.0001627188,0.01761204,0.9493617,0.003908177,0.001328096,0.01870449,0.0003292433],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07757239,0.0002350706,0.9212323,0.0005069122,0.00007123114,0.00008106153,2.610218e-7,0.00001303931,0.0002877593],"genre_scores_gemma":[0.7129839,0.00002687365,0.2867748,0.00003640554,0.00001108457,0.00000249738,6.232011e-7,0.000001837419,0.0001619697],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8114885,"threshold_uncertainty_score":0.2400484,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4413775048","doi":"10.14419/rp152h11","title":"Adaptive Routing and Security for Heterogeneous Networks Using Quantum Key Distribution and Bat Optimized Recurrent Neural Network","year":2025,"lang":"en","type":"article","venue":"International Journal of Basic and Applied Sciences","topic":"Quantum-Dot Cellular Automata","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":"Horizon College and Seminary","funders":"","keywords":"Computer science; Key (lock); Routing (electronic design automation); Artificial neural network; Quantum key distribution; Recurrent neural network; Computer network; Quantum; Distributed computing; Computer security; Artificial intelligence; Physics","authors":[{"name":"S. Nithya","is_ca":false},{"name":"Krishna Prakash Arunachalam","is_ca":false},{"name":"S. Kanimozhi","is_ca":false},{"name":"Asha Rani Borah","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02305855726650316,"gpt":0.2777483089512013,"spread":0.2546897516846981,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009786118,0.0001204369,0.0002019777,0.00008128044,0.0003056162,0.0004197097,0.0004601346,0.00004130769,8.210012e-7],"category_scores_gemma":[0.00004324149,0.00009888779,0.00004695585,0.0001812401,0.0002437994,0.0003487778,0.0002898842,0.0001356476,5.791987e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000426256,"about_ca_system_score_gemma":0.00007403433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005967412,"about_ca_topic_score_gemma":0.000002016976,"domain_scores_codex":[0.9988232,0.00004906841,0.0003526655,0.0002709963,0.00029295,0.0002110944],"domain_scores_gemma":[0.9991088,0.0002877661,0.0003181628,0.00006598869,0.0001451468,0.00007415623],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005424459,0.000135784,0.002445358,0.00003434665,0.0002836105,0.00004511017,0.00116262,0.2962414,0.0005723553,0.6072085,0.0006400393,0.09068846],"study_design_scores_gemma":[0.0005894093,0.00009337754,0.0004750634,0.00009506208,0.00001876047,0.0001443365,0.00008914932,0.9825252,0.0001917578,0.01559824,0.00008231297,0.0000973671],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4373268,0.0009962539,0.560424,0.000421303,0.0006947506,0.00009779717,0.000004392376,0.000009781085,0.00002488222],"genre_scores_gemma":[0.9867973,0.000106008,0.01279808,0.0001262928,0.0001636769,0.000002435733,0.000001953754,0.00000256625,0.000001647199],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6862838,"threshold_uncertainty_score":0.404727,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}