{"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":"39b3578f1689","filters":{"venue":"2022 14th International Conference on Computational Intelligence and Communication Networks (CICN)"}},"results":[{"id":"W4316012726","doi":"10.1109/cicn56167.2022.10008357","title":"An IoT Based Traffic Management System Using Drone and AI","year":2022,"lang":"en","type":"article","venue":"2022 14th International Conference on Computational Intelligence and Communication Networks (CICN)","topic":"Video Surveillance and Tracking Methods","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Computer science; Real-time computing; Drone; Bandwidth (computing); Cloud computing; Server; Computer network","authors":[{"name":"Arash Farahdel","is_ca":true},{"name":"Seyed Shahim Vedaei","is_ca":true},{"name":"Khan A. Wahid","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06889041557505308,"gpt":0.3453378493631648,"spread":0.2764474337881117,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000155846,0.0004604435,0.000447824,0.0005907295,0.0004882647,0.0006181743,0.0008690693,0.0004557454,0.002178262],"category_scores_gemma":[0.0002451784,0.0001509769,0.0002296144,0.0003663462,0.000171982,0.0006825263,0.0004829132,0.0003185706,0.0005084373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002830912,"about_ca_system_score_gemma":0.0004056211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002753142,"about_ca_topic_score_gemma":0.002525593,"domain_scores_codex":[0.9998308,0.00001783009,0.00001304806,0.00004858989,0.00006273988,0.00002706068],"domain_scores_gemma":[0.9998536,0.00001612446,0.0000152503,0.0000250773,0.00005594651,0.00003396649],"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":[0.001742813,0.002149714,0.02023156,0.0008121973,0.0002786422,0.003013532,0.0007542658,0.126795,0.3519838,0.01917815,0.02696731,0.446093],"study_design_scores_gemma":[0.0001610014,0.0007633429,0.0065128,0.00005544941,0.0001030338,0.0007828585,0.0001788134,0.9172779,0.04749896,0.002186034,0.02439241,0.00008732647],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4198639,0.000739685,0.5098569,0.0004399018,0.0005177474,0.001050001,0.0009121278,0.02053395,0.04608579],"genre_scores_gemma":[0.9387839,0.0001912965,0.05228242,0.0001824321,0.00004681774,0.0002389808,0.0006223472,0.00006051944,0.007591281],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002753142,"threshold_uncertainty_score":0.007286966,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4315926799","doi":"10.1109/cicn56167.2022.10008312","title":"Deep Learning-based Ship Detection on FPGAs","year":2022,"lang":"en","type":"article","venue":"2022 14th International Conference on Computational Intelligence and Communication Networks (CICN)","topic":"Advanced Neural Network Applications","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Field-programmable gate array; Computer science; Latency (audio); Software deployment; Object detection; Deep learning; Inference; Deep neural networks; Efficient energy use; Energy consumption; Power consumption; Embedded system; Artificial neural network; Artificial intelligence; Real-time computing; Power (physics); Computer engineering; Pattern recognition (psychology); Engineering; Telecommunications","authors":[{"name":"Younis Ibrahim","is_ca":true},{"name":"Li Chen","is_ca":true},{"name":"Haonan Tian","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05236299706022658,"gpt":0.3093302467206102,"spread":0.2569672496603836,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001968169,0.0006602106,0.0002654661,0.0004294454,0.0001559725,0.0005557863,0.0008890782,0.0002267299,0.00927734],"category_scores_gemma":[0.0007261248,0.0002331436,0.0002153811,0.0003890557,0.0001472355,0.0005864255,0.000314716,0.000389892,0.001247132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007173095,"about_ca_system_score_gemma":0.0006682414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008975185,"about_ca_topic_score_gemma":0.01227888,"domain_scores_codex":[0.9998168,0.00002495633,0.00001087393,0.00004996088,0.00005802437,0.00003942928],"domain_scores_gemma":[0.999773,0.00007966035,0.00002469121,0.00004390829,0.0000581076,0.00002060367],"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":[0.001780183,0.0003991616,0.009059488,0.0005807859,0.0002353949,0.0007470197,0.0001362067,0.3408243,0.0602115,0.009616924,0.03441454,0.5419944],"study_design_scores_gemma":[0.0000961613,0.0003221729,0.002343193,0.00004352319,0.00003695742,0.0001358633,0.00004502513,0.9589922,0.02754071,0.001334006,0.009089527,0.00002066457],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6010342,0.002018978,0.3232211,0.0007474645,0.0006597071,0.0002693908,0.001924337,0.02625098,0.04387382],"genre_scores_gemma":[0.9080139,0.0003017335,0.08339681,0.0002597426,0.000024203,0.00008204989,0.0008059304,0.0001295174,0.00698593],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00927734,"threshold_uncertainty_score":0.03103578,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4315926692","doi":"10.1109/cicn56167.2022.10008240","title":"A Data Mining Analysis of Cognitive Science and Artificial Intelligence","year":2022,"lang":"en","type":"article","venue":"2022 14th International Conference on Computational Intelligence and Communication Networks (CICN)","topic":"Explainable Artificial Intelligence (XAI)","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Cognition; Scopus; Scope (computer science); Computer science; Data science; Visualization; Artificial intelligence; Data visualization; Institution; China; Psychology; Political science; Sociology; Social science","authors":[{"name":"Tayeb Brahimi","is_ca":false},{"name":"Hala Haneya","is_ca":false},{"name":"Asra Yaqub","is_ca":false},{"name":"Fatmah Al Salem","is_ca":false},{"name":"Joudi Bathallath","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1649625693416375,"gpt":0.3729542460312511,"spread":0.2079916766896136,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.005573771,0.0005688654,0.0007254785,0.01807368,0.001252417,0.003591952,0.0008389566,0.0005725053,0.002731002],"category_scores_gemma":[0.0304796,0.0002145219,0.001877457,0.02309828,0.000622576,0.002749373,0.001592079,0.001032837,0.0007647696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001287311,"about_ca_system_score_gemma":0.003245453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004821212,"about_ca_topic_score_gemma":0.003585713,"domain_scores_codex":[0.995418,0.001256318,0.000707482,0.0006830069,0.001700583,0.0002346897],"domain_scores_gemma":[0.9717072,0.01961923,0.002798643,0.001630561,0.003637107,0.0006072685],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000693205,0.0006267992,0.4856049,0.002876013,0.001358344,0.001223572,0.006358524,0.006982323,0.002748585,0.04439317,0.02965636,0.4174783],"study_design_scores_gemma":[0.0001622448,0.0009560401,0.5496956,0.002271862,0.001097372,0.003499924,0.0235272,0.1363542,0.0100834,0.1069548,0.1651809,0.0002165789],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7228623,0.005398499,0.1643495,0.006926855,0.0004447177,0.002610541,0.05204116,0.002012136,0.04335426],"genre_scores_gemma":[0.8306211,0.00190769,0.1473983,0.0002833487,0.0001383962,0.001397559,0.01551032,0.00008817141,0.00265517],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9819263,"threshold_uncertainty_score":0.02947724,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}