{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":10,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":10,"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":"b3ec9e9ac3c5","filters":{"venue":"Applied Computational Intelligence and Soft Computing"}},"results":[{"id":"W2108706807","doi":"10.1155/2012/794061","title":"Standard Precipitation Index Drought Forecasting Using Neural Networks, Wavelet Neural Networks, and Support Vector Regression","year":2012,"lang":"en","type":"article","venue":"Applied Computational Intelligence and Soft Computing","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":187,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Artificial neural network; Support vector machine; Computer science; Mean squared error; Wavelet; Artificial intelligence; Machine learning; Data mining; Regression; Algorithm; Precipitation; Statistics; Meteorology; Mathematics; Geography","authors":[{"name":"Anteneh Belayneh","is_ca":true},{"name":"Jan Adamowski","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02762651705106631,"gpt":0.268448673925309,"spread":0.2408221568742427,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001038473,0.0004982739,0.0004432271,0.000637797,0.0001337161,0.0005330378,0.0004014472,0.0003787038,0.0003510296],"category_scores_gemma":[0.003163095,0.0001738608,0.0004063914,0.0009081915,0.0001388391,0.001001784,0.0002974297,0.0004865143,0.00008776866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004512005,"about_ca_system_score_gemma":0.0004028482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0111158,"about_ca_topic_score_gemma":0.009285955,"domain_scores_codex":[0.9996636,0.0001042162,0.00003247636,0.00005538489,0.0001209077,0.00002333258],"domain_scores_gemma":[0.9994007,0.0002885245,0.00009100027,0.00003577986,0.0001667844,0.00001714707],"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":[0.000199446,0.0001206568,0.01671664,0.0001081544,0.0001754916,0.00006667647,0.00003198214,0.8809458,0.003041631,0.001378588,0.0006651296,0.09654988],"study_design_scores_gemma":[0.000005562773,0.00003555383,0.00313446,0.000004565081,0.00001005289,0.000005470981,0.000007965038,0.9955118,0.0006306214,0.0005009233,0.0001470753,0.000005819128],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8240084,0.001149177,0.1701143,0.0002992635,0.0001067181,0.00005835909,0.0005844793,0.0004321849,0.003247211],"genre_scores_gemma":[0.9721788,0.0005276434,0.02611311,0.00002306112,0.0000230015,0.00002973441,0.0003928815,0.00001189039,0.0006999646],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0111158,"threshold_uncertainty_score":0.02210218,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2032658116","doi":"10.1155/2011/938240","title":"Evolutionary Computation and Its Applications in Neural and Fuzzy Systems","year":2011,"lang":"en","type":"article","venue":"Applied Computational Intelligence and Soft Computing","topic":"Metaheuristic Optimization Algorithms Research","field":"Computer Science","cited_by":33,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Evolutionary programming; Evolutionary computation; Evolutionary algorithm; Metaheuristic; Mathematical optimization; Optimization problem; Genetic programming; Artificial neural network; Meta-optimization; Artificial intelligence; Interactive evolutionary computation; Simulated annealing; Machine learning; Algorithm; Mathematics","authors":[{"name":"Biaobiao Zhang","is_ca":false},{"name":"Yue Wu","is_ca":false},{"name":"Jiabin Lu","is_ca":false},{"name":"Ke-Lin Du","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05946061781252375,"gpt":0.295526399703519,"spread":0.2360657818909953,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008605607,0.0008805483,0.001132718,0.001299198,0.0006338128,0.001751904,0.0007506573,0.002058004,0.003572442],"category_scores_gemma":[0.003016792,0.0003498351,0.0007667146,0.002843442,0.002157403,0.001628078,0.001237612,0.002224657,0.0006200458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009217541,"about_ca_system_score_gemma":0.000690449,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00212297,"about_ca_topic_score_gemma":0.001304896,"domain_scores_codex":[0.9994035,0.0002273756,0.00004594789,0.0000864674,0.0002080105,0.00002869358],"domain_scores_gemma":[0.9991924,0.0005800088,0.00004805396,0.00005062694,0.0001064659,0.0000224642],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001852887,0.00002606867,0.0005750944,0.000549233,0.00007594722,0.0003067493,0.0002569777,0.1122647,0.0009750882,0.7242825,0.005296313,0.1553728],"study_design_scores_gemma":[0.00001100668,0.00003270923,0.0006483404,0.000251796,0.00002486228,0.00028818,0.00009417657,0.1905333,0.0005978636,0.732482,0.0750033,0.00003254429],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006151675,0.1388769,0.7652705,0.00603711,0.001377125,0.00009174227,0.0001226617,0.000242401,0.08182989],"genre_scores_gemma":[0.3750667,0.1455456,0.4467461,0.001484046,0.003733753,0.0004177257,0.0002272547,0.0001484855,0.02663039],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003572442,"threshold_uncertainty_score":0.01195097,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2033985568","doi":"10.1155/2012/347157","title":"Data and Feature Reduction in Fuzzy Modeling through Particle Swarm Optimization","year":2012,"lang":"en","type":"article","venue":"Applied Computational Intelligence and Soft Computing","topic":"Fuzzy Logic and Control Systems","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"Universiti Teknikal Malaysia Melaka; Ministry of Higher Education, Malaysia","keywords":"Computer science; Particle swarm optimization; Dimensionality reduction; Reduction (mathematics); Fuzzy logic; Context (archaeology); Feature (linguistics); Artificial intelligence; Cluster analysis; Data mining; Machine learning; Mathematics","authors":[{"name":"Sharifah Sakinah Syed Ahmad","is_ca":true},{"name":"Witold Pedrycz","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06150166159742351,"gpt":0.2887401054371931,"spread":0.2272384438397696,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001117424,0.0007014802,0.001081854,0.0006707279,0.0005355411,0.001149351,0.0007615076,0.0009329916,0.0008409751],"category_scores_gemma":[0.002255622,0.0004854292,0.001410781,0.0007755843,0.00084583,0.001131756,0.000885442,0.001096137,0.0001978238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007029038,"about_ca_system_score_gemma":0.0007962829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004652186,"about_ca_topic_score_gemma":0.002884652,"domain_scores_codex":[0.9995909,0.0001565768,0.00002537795,0.00005760391,0.0001440031,0.00002557621],"domain_scores_gemma":[0.9994296,0.0003749735,0.00005103544,0.00006618209,0.00006264722,0.00001555938],"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":[0.0000167137,0.00001760876,0.0001976223,0.00003650392,0.00001749287,0.0000252938,0.00004632712,0.9657649,0.00104394,0.0147291,0.0002040844,0.01790042],"study_design_scores_gemma":[0.000002930586,0.000009455089,0.00002470336,0.000002757969,0.000002940643,0.000004974932,0.000003660527,0.9953758,0.0002487211,0.004013013,0.0003082999,0.000002725718],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004734105,0.00009339264,0.9941777,0.00009734525,0.00001538009,0.0000283715,0.00001783935,0.00004908041,0.0007867595],"genre_scores_gemma":[0.3340085,0.0004284386,0.6629419,0.00007451649,0.00005404744,0.0003388215,0.000144611,0.00005196036,0.001957174],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004652186,"threshold_uncertainty_score":0.009250164,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4306722543","doi":"10.1155/2022/1419310","title":"A Deep Longitudinal Model for Mild Cognitive Impairment to Alzheimer’s Disease Conversion Prediction in Low-Income Countries","year":2022,"lang":"en","type":"article","venue":"Applied Computational Intelligence and Soft Computing","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Janssen Alzheimer Immunotherapy Research And Development; Johnson and Johnson Pharmaceutical Research and Development; National Institute of Biomedical Imaging and Bioengineering; Canadian Institutes of Health Research; National Institutes of Health; Genentech; IXICO; H. Lundbeck A/S; Servier; Eisai; Northern California Institute for Research and Education; Pfizer; Biogen; BioClinica; F. Hoffmann-La Roche; University of Southern California; Eli Lilly and Company; U.S. Department of Defense; Meso Scale Diagnostics; Alzheimer's Disease Neuroimaging Initiative; Novartis Pharmaceuticals Corporation; Bristol-Myers Squibb; National Institute on Aging; Alzheimer's Association; Foundation for the National Institutes of Health","keywords":"Neuropsychology; Neuroimaging; Alzheimer's disease; Regression; Medicine; Alzheimer's Disease Neuroimaging Initiative; Deep learning; Biomarker; Cognitive impairment; Artificial neural network; Disease; Artificial intelligence; Cognitive decline; Cognition; Dementia; Psychology; Internal medicine; Computer science; Psychiatry","authors":[{"name":"Adeem Akhtar","is_ca":false},{"name":"Sidra Minhas","is_ca":false},{"name":"Nosheen Sabahat","is_ca":false},{"name":"Aasia Khanum","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.036013368653617,"gpt":0.3279011572015639,"spread":0.2918877885479469,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001118783,0.0007326811,0.0005476541,0.000460737,0.0002656332,0.0005961978,0.0008236839,0.000673297,0.001713513],"category_scores_gemma":[0.00174269,0.0003321436,0.0006647783,0.0003557529,0.0002156994,0.0004646535,0.0007940241,0.001297975,0.0003858121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008691298,"about_ca_system_score_gemma":0.001123468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03711508,"about_ca_topic_score_gemma":0.0316132,"domain_scores_codex":[0.9998005,0.00006114635,0.00001354423,0.00005707049,0.00002134848,0.00004640267],"domain_scores_gemma":[0.9996418,0.0001581751,0.00004451941,0.00001859695,0.000106728,0.00003010751],"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":[0.0003718403,0.0001881357,0.01640533,0.00005177631,0.0001276151,0.0001895102,0.00007294858,0.9227152,0.0008259014,0.001803773,0.003265019,0.05398283],"study_design_scores_gemma":[0.000006300379,0.00001766609,0.0008180077,0.000005632079,0.000007968672,0.000005592648,0.000005951776,0.9983549,0.0000795639,0.0005732464,0.0001220225,0.00000319531],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6556736,0.003094314,0.3282586,0.003102558,0.0003025869,0.0001202225,0.003046468,0.001355149,0.005046454],"genre_scores_gemma":[0.973579,0.0004811324,0.01947223,0.0002345921,0.00005397754,0.0001098177,0.001714699,0.00002617679,0.004328311],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03711508,"threshold_uncertainty_score":0.07379806,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1977113926","doi":"10.1155/2010/409045","title":"Adaptive Representations for Improving Evolvability, Parameter Control, and Parallelization of Gene Expression Programming","year":2010,"lang":"en","type":"article","venue":"Applied Computational Intelligence and Soft Computing","topic":"Evolutionary Algorithms and 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":"Toronto Metropolitan University","funders":"","keywords":"Gene expression programming; Evolvability; Computer science; Population; Representation (politics); Genetic programming; Tree (set theory); Symbolic regression; Theoretical computer science; Algorithm; Artificial intelligence; Mathematics; Biology; Genetics","authors":[{"name":"Nigel P. A. Browne","is_ca":true},{"name":"Marcus Vinicius dos Santos","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02215631343024626,"gpt":0.2836967631056357,"spread":0.2615404496753894,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009808433,0.0005583873,0.0004734401,0.0004894963,0.0002781394,0.0007376489,0.001067702,0.0006079783,0.001118146],"category_scores_gemma":[0.004793868,0.0002587346,0.0004354066,0.0005930643,0.0007552447,0.001079549,0.001035764,0.001202664,0.0002283767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005306782,"about_ca_system_score_gemma":0.0005028975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006812789,"about_ca_topic_score_gemma":0.000662681,"domain_scores_codex":[0.9994833,0.0001716981,0.00003058764,0.00009786271,0.0001636164,0.00005285392],"domain_scores_gemma":[0.998678,0.0007100608,0.0001347419,0.0002787902,0.0001617868,0.00003649402],"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":[0.0001278827,0.0001342069,0.0008319122,0.00007697611,0.00003213803,0.0001291068,0.000245747,0.6871844,0.03620785,0.04466885,0.000859195,0.2295017],"study_design_scores_gemma":[0.00001916167,0.00005179091,0.00008893062,0.000006023568,0.00000946533,0.00003726818,0.00001283416,0.9815808,0.007941354,0.00897168,0.001273498,0.00000724012],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0566458,0.0001313632,0.9400405,0.000136161,0.00002517611,0.00004222547,0.00001691025,0.0007006567,0.002261232],"genre_scores_gemma":[0.5275853,0.0001616538,0.4698354,0.00009304749,0.00003268668,0.0001972244,0.00006931737,0.0002623814,0.001762936],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001118146,"threshold_uncertainty_score":0.005187213,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4389455424","doi":"10.1155/2023/5532174","title":"Applications of Quantum Probability Amplitude in Decision Support Systems","year":2023,"lang":"en","type":"article","venue":"Applied Computational Intelligence and Soft Computing","topic":"Quantum Mechanics and Applications","field":"Physics and Astronomy","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; Simon Fraser University","keywords":"Computer science; Complement (music); Probabilistic logic; Bayesian network; Quantum; Probability amplitude; Function (biology); Bayesian probability; Theoretical computer science; Artificial intelligence; Algorithm; Quantum process; Quantum dynamics; Physics","authors":[{"name":"Shahram Payandeh","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03057929924509253,"gpt":0.3020577372561222,"spread":0.2714784380110297,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002745003,0.000623314,0.0008688714,0.00120759,0.001132209,0.003074656,0.001547579,0.00191983,0.004062193],"category_scores_gemma":[0.008218426,0.0003652272,0.000843129,0.001293933,0.003587374,0.004749296,0.002573231,0.00225266,0.000490699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001818358,"about_ca_system_score_gemma":0.001387517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001672822,"about_ca_topic_score_gemma":0.0006585399,"domain_scores_codex":[0.9977023,0.001101215,0.0001297642,0.0002598992,0.0006776685,0.0001291073],"domain_scores_gemma":[0.9969538,0.002170835,0.00019684,0.0002679614,0.0002840558,0.0001264911],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001578183,0.00001885195,0.0001278168,0.00007273446,0.00001509311,0.00006707082,0.0001143979,0.0397286,0.000601838,0.9476725,0.0003948537,0.01117047],"study_design_scores_gemma":[0.00001061371,0.00004201798,0.0001046263,0.00004697643,0.00001102534,0.00005375776,0.00006252236,0.2688259,0.0005150054,0.7255483,0.004751371,0.00002783737],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01170235,0.002428364,0.955705,0.002854567,0.0003276614,0.00008166161,0.0000564958,0.0001253713,0.02671847],"genre_scores_gemma":[0.7959985,0.003761235,0.1954465,0.0005175244,0.0005570205,0.0001922513,0.00005311724,0.00005218129,0.003421637],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004062193,"threshold_uncertainty_score":0.01451713,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4409979403","doi":"10.1155/acis/5211419","title":"Predicting Residential Energy Consumption in South Africa Using Ensemble Models","year":2025,"lang":"en","type":"article","venue":"Applied Computational Intelligence and Soft Computing","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"École de Technologie Supérieure","funders":"University of South Africa","keywords":"Computer science; Energy consumption; Consumption (sociology); Energy (signal processing); Artificial intelligence; Statistics; Ecology","authors":[{"name":"David Attipoe","is_ca":false},{"name":"Donatien Koulla Moulla","is_ca":false},{"name":"Ernest Mnkandla","is_ca":false},{"name":"Alain Abran","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03387955395922034,"gpt":0.2488350379582731,"spread":0.2149554839990527,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005142713,0.0005738121,0.0004940585,0.0007930842,0.0002551475,0.000561706,0.0003779087,0.0003278833,0.0005960503],"category_scores_gemma":[0.001279845,0.0001994558,0.00049769,0.001187264,0.00009356469,0.0008800959,0.0004476802,0.0004346073,0.0001320747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005199535,"about_ca_system_score_gemma":0.0004139233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03563984,"about_ca_topic_score_gemma":0.04476923,"domain_scores_codex":[0.9998469,0.00005671888,0.000008829252,0.00003169255,0.00002843176,0.00002731545],"domain_scores_gemma":[0.9997243,0.0001447646,0.00003713836,0.00002064146,0.0000622912,0.00001070946],"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":[0.0001355461,0.00005668081,0.09446564,0.00006638436,0.0001684739,0.0003701302,0.0002793753,0.8054909,0.001681722,0.001526884,0.0008437522,0.09491452],"study_design_scores_gemma":[0.000003276646,0.00001638206,0.0104248,0.00001217067,0.0000218317,0.00003009977,0.0001420415,0.9877237,0.0004743648,0.0006012324,0.0005424549,0.000007587535],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9455635,0.0005496123,0.05026378,0.0004369541,0.00002292982,0.00002837575,0.000560816,0.0001519456,0.002422143],"genre_scores_gemma":[0.9894593,0.0003031188,0.009269038,0.00001469421,0.000007217237,0.00001443182,0.0002721121,0.000009596621,0.0006505656],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03563984,"threshold_uncertainty_score":0.0708648,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3201298227","doi":"10.1155/2021/3839543","title":"Pipelined Training with Stale Weights in Deep Convolutional Neural Networks","year":2021,"lang":"en","type":"article","venue":"Applied Computational Intelligence and Soft Computing","topic":"Advanced Neural Network Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Backpropagation; Convolutional neural network; Inference; Parallel computing; FLOPS; Residual neural network; Artificial neural network; Computer engineering; Artificial intelligence","authors":[{"name":"Lifu Zhang","is_ca":true},{"name":"Tarek S. Abdelrahman","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02605909637599875,"gpt":0.2601603845405354,"spread":0.2341012881645366,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005921752,0.000810268,0.000379539,0.0004942231,0.0003891439,0.0006095141,0.00143575,0.0006105146,0.002989182],"category_scores_gemma":[0.001839249,0.0006088101,0.0004663483,0.0006464432,0.0006198419,0.00195276,0.0007467385,0.001274431,0.0007713892],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00102797,"about_ca_system_score_gemma":0.001589633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01027038,"about_ca_topic_score_gemma":0.0204919,"domain_scores_codex":[0.9996786,0.00004619969,0.0000257627,0.00009050863,0.0001039498,0.00005499409],"domain_scores_gemma":[0.9993789,0.0002266013,0.00006352813,0.0001758402,0.0001251885,0.00002994187],"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":[0.0005607075,0.0002772305,0.002885288,0.0002138858,0.0001159283,0.0002496375,0.0002772789,0.4801018,0.0692335,0.01182766,0.007820082,0.426437],"study_design_scores_gemma":[0.00001929719,0.0001122556,0.0003885943,0.00001054756,0.00001291643,0.00003738013,0.00001360505,0.9686307,0.02564354,0.003041821,0.002076582,0.0000127872],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1309915,0.0006599689,0.8537714,0.0002658989,0.0001136961,0.00009659467,0.0002402352,0.01057906,0.003281708],"genre_scores_gemma":[0.5993994,0.0003467932,0.3933361,0.0001994611,0.00003439521,0.000126032,0.0006316965,0.0004109027,0.005515294],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01027038,"threshold_uncertainty_score":0.02042121,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4404183483","doi":"10.1155/2024/6632801","title":"Reconfigurable Neuromorphic Neural Network Architecture","year":2024,"lang":"en","type":"article","venue":"Applied Computational Intelligence and Soft Computing","topic":"Neural Networks and Reservoir Computing","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":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Computer science; Neuromorphic engineering; Computer architecture; Architecture; Artificial neural network; Artificial intelligence","authors":[{"name":"Kapil Sharma","is_ca":false},{"name":"Pradeepta Kumar Sarangi","is_ca":false},{"name":"Parth Sharma","is_ca":false},{"name":"Soumya Ranjan Nayak","is_ca":false},{"name":"Srinivas Aluvala","is_ca":true},{"name":"Santosh Kumar Swain","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02878563529704494,"gpt":0.2504629917410512,"spread":0.2216773564440062,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001100682,0.0002202547,0.0001983281,0.0002447592,0.0002274878,0.0004739973,0.0009705215,0.0004159541,0.002346247],"category_scores_gemma":[0.000317342,0.0001355242,0.000213847,0.0003170696,0.0002339792,0.0007211792,0.0003599535,0.0002872988,0.0004606035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000408882,"about_ca_system_score_gemma":0.0003688779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006329227,"about_ca_topic_score_gemma":0.0009998835,"domain_scores_codex":[0.9998851,0.00001702839,0.000008382335,0.0000369718,0.00003522004,0.00001738206],"domain_scores_gemma":[0.999882,0.00002096238,0.00001794622,0.00002854466,0.00004124804,0.000009289712],"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":[0.0003018066,0.0001983686,0.002620769,0.000550164,0.0001660593,0.0006564746,0.0001543517,0.2559637,0.2764417,0.051711,0.005884177,0.4053515],"study_design_scores_gemma":[0.00003195778,0.000286075,0.00138283,0.00004845981,0.00006288209,0.0007714044,0.00005102293,0.8606283,0.09871398,0.01444363,0.02353647,0.00004294226],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1553701,0.001606453,0.8068534,0.0006462691,0.0003975156,0.000116444,0.0002845046,0.003000691,0.03172461],"genre_scores_gemma":[0.8556755,0.0006513256,0.1323245,0.0002479386,0.00003717581,0.0001465179,0.0001391657,0.00004629901,0.01073163],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002346247,"threshold_uncertainty_score":0.007848978,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4404768894","doi":"10.1155/acis/5539658","title":"An Advanced Forecasting Model Leveraging Emotion‐Gesture Correlation to Predict Returning Visitors Surpasses Visit Duration as a Predictive Factor","year":2024,"lang":"en","type":"article","venue":"Applied Computational Intelligence and Soft Computing","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Alberta; Northern Ontario Academic Medicine Association; Ontario Brain Institute","funders":"National Research Council Canada","keywords":"Computer science; Duration (music); Correlation; Factor (programming language); Artificial intelligence; Gesture; Machine learning; Programming language","authors":[{"name":"Alicia Heraz","is_ca":true},{"name":"Nandith Sajith","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03291049077939857,"gpt":0.3000340276594033,"spread":0.2671235368800048,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001467602,0.001176358,0.0008666591,0.001428541,0.0004654692,0.001237937,0.001119921,0.0008585107,0.002772175],"category_scores_gemma":[0.003964039,0.0003691472,0.001060517,0.001110684,0.0002712149,0.0008620655,0.0005616396,0.002014473,0.001038874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005818376,"about_ca_system_score_gemma":0.0008532103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0338801,"about_ca_topic_score_gemma":0.0232213,"domain_scores_codex":[0.9996307,0.00007125244,0.00003481211,0.0001294368,0.00006734834,0.00006653186],"domain_scores_gemma":[0.9981484,0.001190123,0.000161911,0.00009056783,0.0003012144,0.0001078125],"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":[0.0006116096,0.0005802234,0.187722,0.0001092813,0.000254947,0.0003482185,0.0002790648,0.6395525,0.002858958,0.001916849,0.004657331,0.161109],"study_design_scores_gemma":[0.000004238604,0.00004323553,0.004987121,0.000007371917,0.0000192908,0.00001730364,0.00002608905,0.9941524,0.0001676929,0.0003583723,0.0002084014,0.000008491436],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7702058,0.001233605,0.2165568,0.0017929,0.0003960938,0.0001748725,0.002522697,0.001642794,0.00547438],"genre_scores_gemma":[0.9815474,0.0003056042,0.01432996,0.00008590583,0.00008860591,0.00007921296,0.001177245,0.00002702925,0.002359118],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0338801,"threshold_uncertainty_score":0.06736577,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}