{"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":"e89e5748491e","filters":{"venue":"International Journal of Advanced Intelligence Paradigms"}},"results":[{"id":"W2062636054","doi":"10.1504/ijaip.2012.052074","title":"Median interval approach to model words with interval type-2 fuzzy sets","year":2012,"lang":"en","type":"article","venue":"International Journal of Advanced Intelligence Paradigms","topic":"Fuzzy Logic and Control Systems","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"University of Toronto","keywords":"Computer science; Interval (graph theory); Type (biology); Fuzzy logic; Artificial intelligence; Algorithm; Mathematics; Combinatorics","retraction":null,"screen_n_in":null,"score":{"opus":0.03115573145933989,"gpt":0.2942890150610941,"spread":0.2631332836017542,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006958621,0.0002950477,0.000437927,0.0003756992,0.00005743571,0.000194132,0.002843473,0.00008313045,0.000008912928],"category_scores_gemma":[0.0001603364,0.0002169567,0.0001795831,0.000418707,0.00008291886,0.001935403,0.0002615416,0.0004042241,0.000103414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002647422,"about_ca_system_score_gemma":0.0001701771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009727063,"about_ca_topic_score_gemma":0.000003955588,"domain_scores_codex":[0.9971116,0.00008429062,0.0008360425,0.0003235351,0.00111968,0.0005248938],"domain_scores_gemma":[0.9977147,0.0001195366,0.0005102715,0.0003920366,0.0007623668,0.0005010755],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001372517,0.001086284,0.002343465,0.00002846699,0.0007066826,0.0001161088,0.01469433,0.3162813,0.001554299,0.3577291,0.001553793,0.3025336],"study_design_scores_gemma":[0.005566926,0.007714816,0.004035973,0.002660233,0.0002325961,0.01448064,0.009152818,0.6652278,0.02205474,0.2147744,0.04911662,0.004982421],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01980858,0.000565812,0.9509239,0.001408667,0.003386326,0.00020732,0.000004944396,0.00005031262,0.02364418],"genre_scores_gemma":[0.8564654,0.00005607521,0.1420145,0.0007228095,0.0004913255,0.00001470547,0.000002406278,0.00001906758,0.0002136747],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8366568,"threshold_uncertainty_score":0.8847236,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4400688137","doi":"10.1504/ijaip.2024.139957","title":"Self-organised map and trust-aware-based quality of service prediction for reliable services selection in distributed computing environment","year":2024,"lang":"en","type":"article","venue":"International Journal of Advanced Intelligence Paradigms","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science; Selection (genetic algorithm); Quality of service; Service (business); Quality (philosophy); Distributed Computing Environment; Distributed computing; Service quality; Artificial intelligence; Computer network","retraction":null,"screen_n_in":null,"score":{"opus":0.01285486500631902,"gpt":0.2808913074525951,"spread":0.2680364424462761,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007292579,0.0001395793,0.0002243231,0.000275323,0.00005912776,0.0001237001,0.000495713,0.00007930382,0.00001381626],"category_scores_gemma":[0.00002584995,0.000135002,0.00008484502,0.0003524277,0.00002732757,0.0008906888,0.00007000301,0.0002329961,0.000003295399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002591425,"about_ca_system_score_gemma":0.00008785439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003753783,"about_ca_topic_score_gemma":0.00001937147,"domain_scores_codex":[0.9981836,0.00006537255,0.0008680117,0.0002733253,0.0004449235,0.0001647759],"domain_scores_gemma":[0.9987948,0.0002830061,0.0004398176,0.00009900647,0.0003187005,0.00006467335],"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":[0.0009155229,0.0005937981,0.003942084,0.0009771828,0.000297417,0.00002246794,0.00320082,0.8419089,0.015827,0.0207699,0.00007857528,0.1114663],"study_design_scores_gemma":[0.0004128111,0.0003270909,0.002005969,0.000447574,0.00001238065,0.00004307638,0.0001338823,0.9498903,0.03391799,0.007284246,0.005397576,0.0001270954],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1258878,0.0005567592,0.8710079,0.00110058,0.001161126,0.0001955668,0.00002440372,0.00005197546,0.00001390507],"genre_scores_gemma":[0.9607426,0.0003013637,0.03863473,0.0001308115,0.0001583477,0.000006572833,0.00001091197,0.000009420665,0.000005224806],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8348548,"threshold_uncertainty_score":0.5505223,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4400688140","doi":"10.1504/ijaip.2024.139955","title":"Brain tumour segmentation using weighted k-means based on particle swarm optimisation","year":2024,"lang":"en","type":"article","venue":"International Journal of Advanced Intelligence Paradigms","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":"Université du Québec en Outaouais","funders":"","keywords":"Computer science; Particle swarm optimization; Segmentation; Artificial intelligence; Pattern recognition (psychology); Algorithm","retraction":null,"screen_n_in":null,"score":{"opus":0.05208432511397447,"gpt":0.3482118224600632,"spread":0.2961274973460887,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003837983,0.0001672675,0.000142929,0.0003658566,0.00009267725,0.0002430396,0.0004020652,0.00004952106,0.0002248521],"category_scores_gemma":[0.0005572087,0.0001502585,0.000151094,0.0004499432,0.00008734461,0.0008112256,0.00001616454,0.0003035939,0.0001047266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004308673,"about_ca_system_score_gemma":0.0001434364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003096532,"about_ca_topic_score_gemma":8.393411e-7,"domain_scores_codex":[0.9978669,0.000145465,0.0006502143,0.00031119,0.0008344136,0.0001918761],"domain_scores_gemma":[0.9985968,0.0005964941,0.0003429969,0.0001321844,0.0002181484,0.0001133423],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002695339,0.0001304463,0.00003836227,0.000008998096,0.00001721993,0.00009672791,0.0003413029,0.2741764,0.65163,0.01020416,0.00009332317,0.0629936],"study_design_scores_gemma":[0.000166175,0.0001570266,0.0000634245,0.0001338416,0.000008496152,0.0001562361,0.0001971146,0.4362398,0.5581474,0.002089722,0.002538836,0.0001019251],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3772106,0.00007950301,0.6124805,0.005896182,0.003226417,0.0001862456,0.00001401748,0.00009052518,0.000816],"genre_scores_gemma":[0.9927516,0.00007158107,0.005247761,0.001436934,0.0002956058,0.00000856716,0.000003991555,0.00002545455,0.0001585004],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.615541,"threshold_uncertainty_score":0.6127363,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}