{"meta":{"query_hash":"f266969b8ab0","filters":{"venue":"International Journal of Intelligence Science"},"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/f266969b8ab0","api":"https://metacan.xera.ac/api/v1/cohort?venue=International+Journal+of+Intelligence+Science"},"results":[{"id":"W2023660067","doi":"10.4236/ijis.2014.44010","title":"Method to Improve Airborne Pollution Forecasting by Using Ant Colony Optimization and Neuro-Fuzzy Algorithms","year":2014,"lang":"en","type":"article","venue":"International Journal of Intelligence Science","topic":"Air Quality Monitoring and Forecasting","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"Consejo Nacional de Ciencia y Tecnología","keywords":"Ant colony optimization algorithms; Computer science; Artificial intelligence; Reduction (mathematics); Ant colony; Machine learning; Fuzzy logic; Optimization algorithm; Algorithm; Data mining; Mathematical optimization; Mathematics","score_opus":0.03280150556565862,"score_gpt":0.3251786399046444,"score_spread":0.29237713433898577,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2023660067","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00866817,0.00025962235,0.9882681,0.00012529948,0.00010809188,0.00004913171,0.000024402301,0.00035548018,0.002141715],"genre_scores_gemma":[0.24334094,0.00042398542,0.7520097,0.00009941609,0.00010373783,0.00019169715,0.00010941205,0.0001174401,0.0036037315],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99974066,0.000051661278,0.000014217954,0.000042859512,0.00013600035,0.0000147039445],"domain_scores_gemma":[0.99967515,0.00011967247,0.000029726372,0.000029291752,0.00013434763,0.000011932403],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043489574,0.00067888596,0.0006509583,0.0008622417,0.00032151377,0.0004428595,0.0008093455,0.0005822473,0.0010453127],"category_scores_gemma":[0.0012159519,0.00024698031,0.0006437813,0.00068395754,0.000199704,0.0005625107,0.00045231843,0.0007227572,0.00034436354],"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":[0.00007912121,0.00016765301,0.0010879794,0.0001443934,0.00013750549,0.00012346076,0.000088927314,0.6701266,0.010560547,0.0077838153,0.0033370429,0.30636296],"study_design_scores_gemma":[0.000007451154,0.000016700295,0.000107621236,0.0000037336315,0.0000103739885,0.000017682967,0.0000036339973,0.9967321,0.0011113094,0.00071590143,0.0012684454,0.000005039189],"about_ca_topic_score_codex":0.0044468828,"about_ca_topic_score_gemma":0.004172776,"teacher_disagreement_score":0.0044468828,"about_ca_system_score_codex":0.00022493262,"about_ca_system_score_gemma":0.00052364916,"threshold_uncertainty_score":0.008841991},"labels":[],"label_agreement":null},{"id":"W2883381152","doi":"10.4236/ijis.2018.83003","title":"Using Hybrid and Diversity-Based Adaptive Ensemble Method for Binary Classification","year":2018,"lang":"en","type":"article","venue":"International Journal of Intelligence Science","topic":"Imbalanced Data Classification Techniques","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Ensemble learning; Computer science; Ensemble forecasting; Artificial intelligence; Machine learning; Binary number; Construct (python library); Predictive modelling; Data mining; Pattern recognition (psychology); Mathematics","score_opus":0.1306199949990329,"score_gpt":0.40139414616523944,"score_spread":0.2707741511662065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2883381152","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":[0.03367237,0.0011647657,0.96135634,0.00022087828,0.00021703994,0.000068546775,0.00013734539,0.0012629704,0.0018998272],"genre_scores_gemma":[0.6177454,0.0009670583,0.3751312,0.00030727556,0.0004020949,0.00020562368,0.0010387055,0.00022320134,0.003979491],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983346,0.00043693974,0.00010693479,0.0003918128,0.0005683092,0.00016146671],"domain_scores_gemma":[0.99789953,0.0006921235,0.00014566643,0.00033431835,0.00084105955,0.0000872594],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002237476,0.0011941099,0.0017105541,0.0025602935,0.0007296319,0.0011570129,0.0015497686,0.00095855107,0.000958789],"category_scores_gemma":[0.0041576964,0.00030567747,0.0013589659,0.001884703,0.00032236244,0.0019944052,0.0010450613,0.001480965,0.00073044904],"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":[0.00019137016,0.0002072904,0.008581046,0.000084088715,0.0004145482,0.00010403642,0.00015988355,0.14016154,0.010245676,0.0030244784,0.0061569368,0.83066916],"study_design_scores_gemma":[0.000008573494,0.00007693191,0.0012803235,0.00001372787,0.00005265764,0.000097946984,0.000029735655,0.99071336,0.0034221238,0.0024899712,0.0017918253,0.000022816368],"about_ca_topic_score_codex":0.003415347,"about_ca_topic_score_gemma":0.0033537322,"teacher_disagreement_score":0.003415347,"about_ca_system_score_codex":0.00045736542,"about_ca_system_score_gemma":0.000706131,"threshold_uncertainty_score":0.011833012},"labels":[],"label_agreement":null},{"id":"W3141736824","doi":"10.4236/ijis.2021.112006","title":"Optimizing Alzheimer’s Disease Therapy Using a Neural Intelligent Agent-Based Platform","year":2021,"lang":"en","type":"article","venue":"International Journal of Intelligence Science","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Virtual reality; Computer science; Cognition; Adaptation (eye); Electroencephalography; Psychology; Cognitive psychology; Human–computer interaction; Neuroscience","score_opus":0.12590689045531855,"score_gpt":0.42031271150416244,"score_spread":0.2944058210488439,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3141736824","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3527006,0.002310588,0.6212753,0.0010102007,0.00020354711,0.0006241581,0.00021770543,0.0035094167,0.018148376],"genre_scores_gemma":[0.81084037,0.0010772824,0.18244685,0.00019989333,0.000033790922,0.00031463383,0.00018109527,0.000051706687,0.0048543657],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998976,0.000029324072,0.000009808377,0.00002084926,0.000026444863,0.00001597331],"domain_scores_gemma":[0.99989414,0.000029778797,0.000019973006,0.000011140127,0.000028299813,0.000016636603],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025471946,0.00040312362,0.00027524526,0.00021352852,0.00018269381,0.0007227155,0.00049562735,0.00037990752,0.0014739535],"category_scores_gemma":[0.0006082898,0.00010913226,0.00028459364,0.00010056889,0.000111360685,0.0004543733,0.00046579633,0.0002592047,0.00034586978],"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":[0.00091034477,0.0016374544,0.007355945,0.00052172854,0.00028530136,0.00077891763,0.00041904562,0.21190356,0.13565025,0.006706226,0.0058065066,0.62802476],"study_design_scores_gemma":[0.00018821056,0.0014360717,0.0047009108,0.00009591947,0.00032974145,0.00046539464,0.00020081027,0.92656446,0.03821073,0.006109155,0.021623025,0.00007547145],"about_ca_topic_score_codex":0.0011562378,"about_ca_topic_score_gemma":0.001344553,"teacher_disagreement_score":0.0014739535,"about_ca_system_score_codex":0.00018189686,"about_ca_system_score_gemma":0.0005050655,"threshold_uncertainty_score":0.0049309134},"labels":[],"label_agreement":null}]}