{"meta":{"query_hash":"3f2efa9e59ad","filters":{"venue":"2021 IEEE 33rd International Conference on Tools with Artificial Intelligence (ICTAI)"},"cohort_total":3,"direct_labels_cover":0,"predictions_cover":3,"exported":3,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/3f2efa9e59ad","api":"https://metacan.xera.ac/api/v1/cohort?venue=2021+IEEE+33rd+International+Conference+on+Tools+with+Artificial+Intelligence+%28ICTAI%29"},"results":[{"id":"W2999709951","doi":"10.1109/ictai52525.2021.00026","title":"Query-Based Summarization using Reinforcement Learning and Transformer Model","year":2021,"lang":"en","type":"article","venue":"2021 IEEE 33rd International Conference on Tools with Artificial Intelligence (ICTAI)","topic":"Topic Modeling","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Automatic summarization; Reinforcement learning; Computer science; Multi-document summarization; Artificial intelligence; Transformer; Sentence; Cluster analysis; Field (mathematics); Ranking (information retrieval); Unsupervised learning; Machine learning; Natural language processing; Information retrieval; Data mining; Mathematics","score_opus":0.13992104009831743,"score_gpt":0.32597460905169984,"score_spread":0.1860535689533824,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2999709951","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020910423,0.0005104113,0.97569454,0.00028828945,0.00004038265,0.0001194787,0.00011897158,0.0011512602,0.0011662514],"genre_scores_gemma":[0.74177563,0.00069645257,0.24984664,0.0002930144,0.00018298884,0.00033481172,0.00093455904,0.0002540946,0.005681755],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990753,0.00032781163,0.00008040482,0.00023455764,0.00019968576,0.00008217556],"domain_scores_gemma":[0.99733317,0.0015034898,0.0003185834,0.00022928455,0.0005049037,0.00011053101],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017415085,0.0008063675,0.0013441689,0.0008972821,0.0003838344,0.00090096885,0.0013350054,0.00086365064,0.0019375224],"category_scores_gemma":[0.005059141,0.00030868044,0.000865061,0.0010320398,0.00049448165,0.0022448804,0.00072045275,0.0010662936,0.00060307933],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003645923,0.0002675919,0.0010031252,0.0003375148,0.00014373723,0.00018681157,0.0003672474,0.7094032,0.015940981,0.01967025,0.0046938346,0.24762107],"study_design_scores_gemma":[0.000015759062,0.00006639105,0.000089201596,0.0000034643167,0.00001648659,0.000018215276,0.000011732906,0.99424225,0.0013084954,0.0037876328,0.00043367132,0.000006571717],"about_ca_topic_score_codex":0.0030975905,"about_ca_topic_score_gemma":0.0029606814,"teacher_disagreement_score":0.0030975905,"about_ca_system_score_codex":0.00092637294,"about_ca_system_score_gemma":0.000818125,"threshold_uncertainty_score":0.00921011},"labels":[],"label_agreement":null},{"id":"W4200139099","doi":"10.1109/ictai52525.2021.00111","title":"Incremental Feature Learning Using Constructive Neural Networks","year":2021,"lang":"en","type":"article","venue":"2021 IEEE 33rd International Conference on Tools with Artificial Intelligence (ICTAI)","topic":"Data Stream Mining Techniques","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Constructive; Computer science; Artificial intelligence; Feature (linguistics); Artificial neural network; Machine learning; Pattern recognition (psychology)","score_opus":0.10667087759523428,"score_gpt":0.3279615675665108,"score_spread":0.22129068997127652,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200139099","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018427454,0.00016746693,0.97875273,0.00012914655,0.000036064925,0.000066701665,0.000048673275,0.001483609,0.0008882303],"genre_scores_gemma":[0.6317544,0.00017783634,0.3654715,0.00027135664,0.000089145506,0.0002619137,0.0003920613,0.00018056658,0.0014011859],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99848217,0.0005122713,0.00009292331,0.00033284223,0.00044429317,0.00013546176],"domain_scores_gemma":[0.99129033,0.005713353,0.00051476154,0.00082387775,0.0014930562,0.00016459689],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002367038,0.0016277668,0.0013442802,0.0017930024,0.00053461135,0.0012480244,0.0032038032,0.001329332,0.001446467],"category_scores_gemma":[0.013167427,0.0007984126,0.001134952,0.0013052262,0.0010981613,0.0028186669,0.001863723,0.0016994616,0.0005553873],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016621147,0.00016843139,0.0024423085,0.00007212784,0.00009174212,0.00017735962,0.00009432074,0.7886862,0.002857162,0.0055654417,0.001460433,0.19821824],"study_design_scores_gemma":[0.0000041160797,0.00002134218,0.00004594545,0.000002275507,0.000005972394,0.00001245199,0.0000028728537,0.9975279,0.0005564739,0.0016943592,0.00012331258,0.0000030144797],"about_ca_topic_score_codex":0.0043594916,"about_ca_topic_score_gemma":0.004953405,"teacher_disagreement_score":0.0043594916,"about_ca_system_score_codex":0.0009786792,"about_ca_system_score_gemma":0.0010979008,"threshold_uncertainty_score":0.012518227},"labels":[],"label_agreement":null},{"id":"W4200159214","doi":"10.1109/ictai52525.2021.00141","title":"Analysis of COVID-19 Misinformation in Social Media using Transfer Learning","year":2021,"lang":"en","type":"article","venue":"2021 IEEE 33rd International Conference on Tools with Artificial Intelligence (ICTAI)","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Misinformation; Social media; Computer science; Context (archaeology); Coronavirus disease 2019 (COVID-19); Concatenation (mathematics); Transfer of learning; False accusation; Artificial intelligence; Machine learning; Data science; Psychology; World Wide Web; Computer security; Mathematics; Medicine; Social psychology","score_opus":0.260886015334097,"score_gpt":0.40962861207808904,"score_spread":0.14874259674399204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200159214","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96452177,0.00061887555,0.031027215,0.00074248074,0.0001245684,0.00009460897,0.00043332315,0.00051889895,0.0019182481],"genre_scores_gemma":[0.99101067,0.00012939693,0.0070722136,0.000049146987,0.00006129322,0.000031812822,0.0005973065,0.000027319273,0.0010208156],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99770844,0.0012053703,0.00012133814,0.00026168703,0.00049348915,0.00020965432],"domain_scores_gemma":[0.977803,0.016027397,0.0015461381,0.0017421357,0.0024759418,0.00040545056],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005445214,0.0012406299,0.0007920295,0.0030898228,0.0006491384,0.0010446048,0.00074274355,0.0012279705,0.0012112972],"category_scores_gemma":[0.023775255,0.00022149809,0.00057810143,0.0015177317,0.00086538674,0.0028078132,0.0015334944,0.0018159637,0.0007756744],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019285192,0.0023774493,0.1612256,0.0005933282,0.0005572139,0.0010942135,0.0014653594,0.33472055,0.008343667,0.0038991985,0.009876559,0.47391835],"study_design_scores_gemma":[0.000010878848,0.00020806432,0.013437039,0.000019431485,0.000029103816,0.00009953224,0.00027688322,0.9795552,0.0038748027,0.0019610017,0.0005018986,0.000026122449],"about_ca_topic_score_codex":0.004152616,"about_ca_topic_score_gemma":0.0037713374,"teacher_disagreement_score":0.005445214,"about_ca_system_score_codex":0.00097309495,"about_ca_system_score_gemma":0.00060032145,"threshold_uncertainty_score":0.028797388},"labels":[],"label_agreement":null}]}