{"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"},"query_hash":"6efd5a03dce7","filters":{"venue":"International Journal of Advances in Intelligent Informatics"}},"results":[{"id":"W2626028920","doi":"10.26555/ijain.v3i1.81","title":"Exploring natural language understanding in robotic interfaces","year":2017,"lang":"en","type":"article","venue":"International Journal of Advances in Intelligent Informatics","topic":"Robotics and Automated Systems","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Novelis (Canada)","funders":"","keywords":"Computer science; Natural language; Natural language processing; Robot; Artificial intelligence; Grammar; Formalism (music); Natural language understanding; Ask price; Human–computer interaction; Linguistics","retraction":null,"screen_n_in":null,"score":{"opus":0.08079402547995349,"gpt":0.3155139025193066,"spread":0.2347198770393531,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003132446,0.0001236307,0.0002230679,0.000450566,0.00003244391,0.0002237474,0.0006968198,0.0000321239,0.00001045669],"category_scores_gemma":[0.0001612826,0.0001096244,0.00005757307,0.00005926069,0.00003815629,0.002764688,0.00006702065,0.0003328955,0.000009821891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004264986,"about_ca_system_score_gemma":0.00001504001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007346245,"about_ca_topic_score_gemma":0.00006600888,"domain_scores_codex":[0.9984856,0.000009901694,0.000946615,0.00003955355,0.0003484653,0.0001698645],"domain_scores_gemma":[0.9992863,0.00009138311,0.0003868676,0.0001210213,0.00007746608,0.00003696303],"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":[0.00002485386,0.00002340275,0.003992763,0.00009732349,0.0000614328,0.0001012457,0.007679996,0.9585747,0.00009945974,0.001232755,0.00001519564,0.02809691],"study_design_scores_gemma":[0.001236224,0.00008714048,0.002165035,0.005209022,0.00001373885,0.0002693415,0.04338356,0.9348234,0.009625641,0.001536383,0.001184162,0.0004663657],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8614497,0.004801533,0.11352,0.0001058818,0.01379568,0.0001351977,0.000003748235,0.00004383961,0.006144366],"genre_scores_gemma":[0.9942381,0.004315355,0.001281403,0.00001208193,0.0001256096,0.000002235428,0.000001482809,0.00001199871,0.00001174007],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1327884,"threshold_uncertainty_score":0.4470354,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4378895671","doi":"10.26555/ijain.v9i2.898","title":"Predicting extreme events in the stock market using generative adversarial networks","year":2023,"lang":"en","type":"article","venue":"International Journal of Advances in Intelligent Informatics","topic":"Stock Market Forecasting Methods","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université du Québec à Rimouski","funders":"","keywords":"Stock market; Computer science; Stock (firearms); Portfolio; Financial market; Trading strategy; Portfolio optimization; Project portfolio management; Econometrics; Financial economics; Finance; Economics; Project management","retraction":null,"screen_n_in":null,"score":{"opus":0.1640704338966313,"gpt":0.441848059815914,"spread":0.2777776259192828,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01488586,0.0001865412,0.0003464716,0.001345379,0.00008036567,0.0001571411,0.002247834,0.00008578564,0.0001356191],"category_scores_gemma":[0.01247881,0.000123267,0.0001838096,0.001512106,0.00008189528,0.001849401,0.0002973429,0.0006161138,0.00001264795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003184264,"about_ca_system_score_gemma":0.0001396877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009538175,"about_ca_topic_score_gemma":0.00005679475,"domain_scores_codex":[0.9931075,0.000684754,0.002868196,0.0001385658,0.002865603,0.0003353812],"domain_scores_gemma":[0.9907069,0.00633394,0.001811295,0.0002493143,0.0008346883,0.00006381838],"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":[0.0003185529,0.00005195805,0.1164733,0.000005420225,0.00004091199,0.00005111561,0.006034899,0.7191867,0.000004329859,0.0002482041,0.0006761655,0.1569085],"study_design_scores_gemma":[0.0006040403,0.00009635641,0.01029084,0.0002718441,0.00001017125,0.0002274187,0.009125802,0.9520719,0.00004081671,0.01909528,0.008016505,0.0001490302],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4375711,0.0004157744,0.5465441,0.0003181559,0.009601732,0.0003507867,0.00001366052,0.00001725093,0.005167459],"genre_scores_gemma":[0.9425783,0.001286851,0.05407209,0.0004734192,0.001351607,0.00001174116,0.000006134064,0.00002247871,0.0001973322],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5050072,"threshold_uncertainty_score":0.9958395,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4312556249","doi":"10.26555/ijain.v8i2.812","title":"Incremental multiclass open-set audio recognition","year":2022,"lang":"en","type":"article","venue":"International Journal of Advances in Intelligent Informatics","topic":"Music and Audio Processing","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Artificial intelligence; Machine learning; Set (abstract data type); Incremental learning; Class (philosophy); Open set; Retraining; Support vector machine; Multiclass classification; Test set; Data mining; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.04084864497883152,"gpt":0.333941201273574,"spread":0.2930925562947425,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009408959,0.0001027727,0.0001666494,0.0003595517,0.0001036623,0.0002958873,0.002662536,0.00001882379,0.0001935338],"category_scores_gemma":[0.0001181629,0.0000969437,0.00006585621,0.0002625369,0.00003256882,0.004162981,0.001136601,0.0003518971,0.00001846286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004020736,"about_ca_system_score_gemma":0.0001414119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006057881,"about_ca_topic_score_gemma":0.000005029442,"domain_scores_codex":[0.9978201,0.00005548889,0.00103902,0.00007753447,0.0008530758,0.0001547514],"domain_scores_gemma":[0.9984471,0.0001158144,0.0009451247,0.0001215311,0.0003160756,0.0000543643],"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":[0.00008216614,0.0002404576,0.001013413,0.00002394125,0.00005463296,0.00007905805,0.008052745,0.02670052,0.00008135159,0.003847299,0.001578987,0.9582455],"study_design_scores_gemma":[0.003703736,0.0009483219,0.0002985967,0.0006420641,0.0000199845,0.002387182,0.01507984,0.1713721,0.01959605,0.05650362,0.7286363,0.0008121878],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05639843,0.0007369841,0.9254817,0.00134115,0.005438714,0.0002146566,0.00002733929,0.00002299857,0.01033808],"genre_scores_gemma":[0.877778,0.0009182701,0.1179598,0.003078917,0.0001681862,0.0000160308,0.00001478545,0.000008291779,0.00005771908],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9574332,"threshold_uncertainty_score":0.4947699,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}