{"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":"5a5e7bc6595d","filters":{"venue":"Journal of Artificial Intelligence and Technology"}},"results":[{"id":"W4225726538","doi":"10.37965/jait.2022.0102","title":"Artificial Intelligence and Applications","year":2022,"lang":"en","type":"article","venue":"Journal of Artificial Intelligence and Technology","topic":"Cognitive Computing and Networks","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Dalhousie University","funders":"","keywords":"Computer science; Artificial intelligence; Salience (neuroscience); Negotiation; Deep learning; Transformer; Language understanding; Domain (mathematical analysis); Applications of artificial intelligence; Data science; Machine learning; Natural language processing; Engineering","authors":[{"name":"Gang Hu","is_ca":false},{"name":"Bo Yu","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04442778029422133,"gpt":0.292837138984283,"spread":0.2484093586900617,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00458678,0.001266768,0.0009782065,0.0035129,0.001825846,0.009917733,0.00259642,0.003786027,0.09128266],"category_scores_gemma":[0.02273713,0.0004283417,0.001097986,0.005367528,0.00244097,0.006766414,0.004481885,0.003047636,0.05541869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002435452,"about_ca_system_score_gemma":0.003713604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001194311,"about_ca_topic_score_gemma":0.0007725374,"domain_scores_codex":[0.9928145,0.00209441,0.0006874857,0.0009886873,0.002958976,0.0004558363],"domain_scores_gemma":[0.9912797,0.002953717,0.0004748552,0.002081351,0.002566858,0.0006435567],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007227567,0.000100589,0.001313346,0.001720974,0.00006226311,0.0004348082,0.0003109503,0.001935865,0.0008467798,0.3420077,0.2842199,0.3669746],"study_design_scores_gemma":[0.00001168338,0.00002676745,0.0003602647,0.0005953108,0.00001553159,0.0004848432,0.0001363244,0.001204233,0.0003384942,0.1085997,0.8882083,0.00001857277],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.002929874,0.04165929,0.07838427,0.03719489,0.006566647,0.0008795155,0.003562976,0.002742529,0.82608],"genre_scores_gemma":[0.1807175,0.1370281,0.1749357,0.03101816,0.01414022,0.003051469,0.01409599,0.002029933,0.442983],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09128266,"threshold_uncertainty_score":0.3053709,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4413952314","doi":"10.37965/jait.2025.0781","title":"A Multimodal Framework for Speech Emotion Recognition in Low-Resource Languages","year":2025,"lang":"en","type":"article","venue":"Journal of Artificial Intelligence and Technology","topic":"Emotion and Mood Recognition","field":"Psychology","cited_by":2,"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; Resource (disambiguation); Emotion recognition; Speech recognition; Linguistics; Natural language processing","authors":[{"name":"Mamyr Altaibek","is_ca":false},{"name":"Altanbek Zulkhazhav","is_ca":false},{"name":"Banu Yergesh","is_ca":false},{"name":"Gulmira Bekmanova","is_ca":false},{"name":"Tileukhan Aibol","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04212576809165484,"gpt":0.3665315492201432,"spread":0.3244057811284884,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007794229,0.0007690203,0.0005058181,0.0006422034,0.0004151248,0.0009158965,0.0005824852,0.0004348184,0.003624763],"category_scores_gemma":[0.001247846,0.0001474437,0.0006543812,0.0004011293,0.0003028036,0.001112099,0.001287651,0.0007474351,0.001885208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004036399,"about_ca_system_score_gemma":0.000461232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003088869,"about_ca_topic_score_gemma":0.005023316,"domain_scores_codex":[0.9995084,0.0001468309,0.00003077937,0.0001645382,0.00008676104,0.00006275699],"domain_scores_gemma":[0.9997647,0.00005577459,0.00002075385,0.00003680511,0.00009986486,0.00002207114],"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":[0.001059667,0.0003108359,0.004281604,0.0003017322,0.0001880192,0.0003323749,0.0006381877,0.02913066,0.1509779,0.008541623,0.0195717,0.7846656],"study_design_scores_gemma":[0.0000670364,0.0004271718,0.009950602,0.00004869096,0.0001468543,0.0003367693,0.0006750228,0.9020933,0.05227493,0.01337803,0.02050095,0.0001006959],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06498113,0.0008911091,0.9138138,0.000488631,0.0001826929,0.0002543853,0.002391832,0.01002144,0.006975072],"genre_scores_gemma":[0.570417,0.0004679375,0.4137517,0.0004003226,0.0001819852,0.0005761413,0.006140674,0.0004208802,0.007643373],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003624763,"threshold_uncertainty_score":0.01212603,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4416912604","doi":"10.37965/jait.2025.0857","title":"Segmentation of Brain Tumor from Magnetic Resonance Imaging Using Handcrafted Features with BOA-Based Transformer","year":2025,"lang":"","type":"article","venue":"Journal of Artificial Intelligence and Technology","topic":"Brain Tumor Detection and Classification","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":"Segmentation; Brain tumor; Magnetic resonance imaging; Pattern recognition (psychology); Image segmentation; Feature (linguistics); Neuroimaging","authors":[{"name":"M. Nagabushanam","is_ca":false},{"name":"V. N. Vinaykumar","is_ca":true},{"name":"Gavisiddappa","is_ca":false},{"name":"G. S. Nandeesh","is_ca":false},{"name":"M. P. Sundaresha","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02458216241339103,"gpt":0.2918778864232138,"spread":0.2672957240098228,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006576286,0.0009360951,0.0009648228,0.001209865,0.0002966874,0.0009048954,0.0008382658,0.0007704154,0.001420357],"category_scores_gemma":[0.001684142,0.0004398779,0.001217177,0.0008434766,0.0004458978,0.0009291184,0.0007533069,0.0007843912,0.0006768169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005097407,"about_ca_system_score_gemma":0.001002773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004378706,"about_ca_topic_score_gemma":0.005960136,"domain_scores_codex":[0.9997019,0.00004847833,0.00002697809,0.0001018743,0.00007322188,0.00004755084],"domain_scores_gemma":[0.9996715,0.0001196197,0.00005399677,0.00005051681,0.00008306968,0.00002131677],"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":[0.0004682089,0.0001692959,0.00298124,0.0002224131,0.0001658898,0.000205753,0.0001389798,0.3480399,0.06995521,0.004664024,0.003571073,0.5694181],"study_design_scores_gemma":[0.000008415033,0.00004242802,0.000500857,0.000005466078,0.00001745349,0.00008702643,0.00001574369,0.989638,0.007603837,0.001489129,0.0005836157,0.000008014739],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0258848,0.0001853137,0.9712169,0.000098903,0.00002739223,0.00007906953,0.0001098947,0.001719042,0.0006786343],"genre_scores_gemma":[0.4423232,0.0002388416,0.5537235,0.0001699828,0.0000342767,0.0001454399,0.001037281,0.000470714,0.001856768],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004378706,"threshold_uncertainty_score":0.00870645,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}