{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":3,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":3,"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":"b1a86c67cf66","filters":{"venue":"Artificial Intelligence and Applications"}},"results":[{"id":"W4379410101","doi":"10.47852/bonviewaia3202939","title":"Let’s Have a Chat! A Conversation with ChatGPT: Technology, Applications, and Limitations","year":2023,"lang":"en","type":"article","venue":"Artificial Intelligence and Applications","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":139,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Guelph","funders":"","keywords":"Conversation; Multitude; Underpinning; Generative grammar; Perspective (graphical); Computer science; Engineering ethics; Point (geometry); Data science; Sociology; Epistemology; Artificial intelligence; Engineering","authors":[{"name":"Sakib Shahriar","is_ca":true},{"name":"Kadhim Hayawi","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.192156063450189,"gpt":0.3982594085226624,"spread":0.2061033450724734,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002274205,0.0001623355,0.000194194,0.0004406733,0.0004830503,0.0000679166,0.00008378614,0.0001499818,0.00002154086],"category_scores_gemma":[0.00009302851,0.0001500579,0.00002918103,0.001309942,0.0004674183,0.0001481143,0.00004065911,0.0002086236,0.0003670302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004097241,"about_ca_system_score_gemma":0.0001324431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001212118,"about_ca_topic_score_gemma":0.0002660944,"domain_scores_codex":[0.9986412,0.00001760573,0.0004135195,0.0004628503,0.000170079,0.0002947642],"domain_scores_gemma":[0.9987804,0.0002748545,0.0001103474,0.0003525033,0.0003004124,0.0001814838],"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":[0.00003540293,0.0001197694,0.0048266,0.00006964639,0.00002537408,0.000001874723,0.001890556,0.00003039164,0.001007086,0.116981,0.00009815879,0.8749142],"study_design_scores_gemma":[0.0001369441,0.001278766,0.009675559,0.0003160657,0.0004817073,0.0003050878,0.1608973,0.02394594,0.08440242,0.5056658,0.2116712,0.001223202],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4153311,0.001966842,0.4327932,0.1348455,0.0001558934,0.009219863,0.00005681641,0.001576706,0.004054123],"genre_scores_gemma":[0.9921292,0.002164437,0.001565969,0.0004614331,0.0002503144,0.003004006,0.0001240086,0.00002447167,0.000276161],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.873691,"threshold_uncertainty_score":0.6119183,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4312575648","doi":"10.47852/bonviewaia2202514","title":"A Multi-Party Agent for Privacy Preference Elicitation","year":2022,"lang":"en","type":"article","venue":"Artificial Intelligence and Applications","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Montréal","funders":"","keywords":"Preference; Perspective (graphical); Internet privacy; Point (geometry); Computer science; Public relations; Sociology; Political science; Artificial intelligence","authors":[{"name":"Rim Ben Salem","is_ca":true},{"name":"Esma Aı̈meur","is_ca":true},{"name":"Hicham Hage","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2015716808623994,"gpt":0.3873934381418855,"spread":0.1858217572794861,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0005395203,0.0000724506,0.00007723967,0.00006311688,0.002526027,0.00009488339,0.0003390002,0.00003600297,0.0001189442],"category_scores_gemma":[0.000237756,0.00008203634,0.00003723565,0.000335285,0.0001439888,0.0001927067,0.0001718397,0.0001105312,0.00003630906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006780562,"about_ca_system_score_gemma":0.00007780566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001017166,"about_ca_topic_score_gemma":0.0007941152,"domain_scores_codex":[0.9990203,0.00008853149,0.0002180693,0.0002864435,0.0001804952,0.0002061796],"domain_scores_gemma":[0.9993896,0.0001339967,0.00008678553,0.0002314969,0.00008875811,0.00006931143],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003188365,0.0003551834,0.0001357786,0.00001635508,0.000009923833,1.605991e-7,0.01192547,0.0001353787,0.002377074,0.5872903,0.0008355508,0.3968869],"study_design_scores_gemma":[0.00004707753,0.00008963368,0.0002751795,0.00000386638,0.00002152432,8.003915e-7,0.01517212,0.006246796,0.002729259,0.3223767,0.6528327,0.0002043067],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02156762,0.0002276945,0.970706,0.003967834,0.0001793022,0.002353581,0.0001528073,0.000137141,0.000708033],"genre_scores_gemma":[0.9909777,0.000191397,0.004256419,0.0002473357,0.0002119629,0.00384699,0.00007604472,0.000007539566,0.0001846328],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9694101,"threshold_uncertainty_score":0.9987726,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W7111337362","doi":"10.47852/bonviewaia52025860","title":"Effective Denoising of Epileptic High-Frequency Oscillations (HFOs) in Scalp EEG Using a Temporal Generative Adversarial Network (TimeGAN)","year":2025,"lang":"","type":"article","venue":"Artificial Intelligence and Applications","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Montreal Neurological Institute and Hospital","keywords":"Electroencephalography; Scalp; Pattern recognition (psychology); Artifact (error); Noise reduction; Convolutional neural network; Noise (video); Artificial neural network","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.03829970613160266,"gpt":0.3217267294094066,"spread":0.2834270232778039,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006128351,0.0004160745,0.0006123779,0.0004487811,0.0008776867,0.0002511367,0.0005113168,0.0002480238,0.00005869633],"category_scores_gemma":[0.0002400581,0.0004454135,0.0001490886,0.002834877,0.001027304,0.0004380915,0.0002903334,0.0004869971,0.00003111053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001760232,"about_ca_system_score_gemma":0.0003276673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001155853,"about_ca_topic_score_gemma":0.0008564022,"domain_scores_codex":[0.9961754,0.0004521229,0.001368492,0.001096039,0.0002791329,0.0006287806],"domain_scores_gemma":[0.99722,0.00143065,0.0004451663,0.0005313756,0.0002395551,0.0001332091],"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":[0.0001671468,0.0008508899,0.004953529,0.0001644707,0.000100848,0.000009249689,0.003337139,0.1524084,0.3005775,0.4243968,0.00005022617,0.1129837],"study_design_scores_gemma":[0.0002352979,0.0003262332,0.00270214,0.0009499413,0.0002353104,0.00001092863,0.001837355,0.2326375,0.49749,0.2625301,0.0002665858,0.0007786254],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4907543,0.0005932518,0.5050646,0.0004766306,0.0005887981,0.001930552,0.00006076909,0.00003678634,0.0004943372],"genre_scores_gemma":[0.9926214,0.0001263145,0.00629791,0.0002486705,0.0004368619,0.0001733171,0.0000106631,0.00002317262,0.00006165991],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5018672,"threshold_uncertainty_score":0.9997998,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}