{"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":"6417187b636c","filters":{"venue":"Proceedings of the 14th International Conference on Agents and Artificial Intelligence"}},"results":[{"id":"W4213372715","doi":"10.5220/0010802200003116","title":"Whale Optimization-based Prediction for Medical Diagnostic","year":2022,"lang":"en","type":"article","venue":"Proceedings of the 14th International Conference on Agents and Artificial Intelligence","topic":"Maritime Navigation and Safety","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Regina","funders":"","keywords":"Whale; Computer science; Artificial intelligence; Fishery; Biology","authors":[{"name":"Ali Asghar Rahmani Hosseinabadi","is_ca":true},{"name":"Mehdi Sadeghilalimi","is_ca":true},{"name":"Morteza Babazadeh Shareh","is_ca":false},{"name":"Malek Mouhoub","is_ca":true},{"name":"Samira Sadaoui","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04410858782111841,"gpt":0.2808419970805738,"spread":0.2367334092594554,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000237403,0.00008345518,0.00008197933,0.00006259105,0.0001628615,0.00005014538,0.0003186117,0.00003361228,0.001747161],"category_scores_gemma":[0.0004105334,0.00007276546,0.00004520654,0.0001054212,0.00005912611,0.00007272577,0.00006354502,0.000142841,0.000001828093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004237966,"about_ca_system_score_gemma":0.00002890657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005246064,"about_ca_topic_score_gemma":0.000001277701,"domain_scores_codex":[0.9990554,0.000005570781,0.0002751419,0.0001376003,0.0004295459,0.00009671276],"domain_scores_gemma":[0.9995196,0.0001231628,0.00006950911,0.00004164571,0.0001952398,0.00005085078],"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":[0.0001260333,0.000213229,0.001609328,0.00008256828,0.00005726254,5.563908e-7,0.0003903132,0.5634529,0.0005962821,0.3929965,0.00295282,0.03752221],"study_design_scores_gemma":[0.00005785031,0.0000565863,0.000177413,0.00005599216,0.000006919433,0.000001517718,0.0002303577,0.9894055,0.004448209,0.003929745,0.00155899,0.0000709464],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3664574,0.0001587782,0.4359084,0.04640572,0.01641781,0.004673345,0.002155075,0.000850851,0.1269726],"genre_scores_gemma":[0.998919,0.00004338789,0.0004408401,0.0002582782,0.00007592366,0.000112266,0.00002082461,0.000009807661,0.0001196487],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6324616,"threshold_uncertainty_score":0.9991654,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4212813177","doi":"10.5220/0010834900003116","title":"Water Consumption Demand Pattern Analysis using Uncertain Smart Water Meter Data","year":2022,"lang":"en","type":"article","venue":"Proceedings of the 14th International Conference on Agents and Artificial Intelligence","topic":"Water Quality Monitoring Technologies","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo; Western University","funders":"","keywords":"Smart meter; Metre; Water consumption; Computer science; Automatic meter reading; Consumption (sociology); Smart grid; Environmental science; Water resource management; Engineering; Telecommunications; Electrical engineering","authors":[{"name":"Milad Khaki","is_ca":true},{"name":"Nasim Mortazavi","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2580030743711801,"gpt":0.3578847690118609,"spread":0.09988169464068075,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006853853,0.0001491126,0.0001633757,0.000121322,0.0003120221,0.0001328776,0.00141654,0.00003895895,0.002868269],"category_scores_gemma":[0.0000363663,0.00008988957,0.00006159434,0.0001274723,0.0002750812,0.0002702283,0.00288483,0.0002015276,0.00004411237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001086027,"about_ca_system_score_gemma":0.000003581795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004488374,"about_ca_topic_score_gemma":0.00001984038,"domain_scores_codex":[0.9983039,0.00002866522,0.0003665778,0.0004626548,0.000602456,0.0002356997],"domain_scores_gemma":[0.9995308,0.00001652302,0.0001322957,0.0002349492,0.00004771551,0.00003774969],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002367313,0.0005079343,0.5103557,0.00005344806,0.0007484201,0.000006007723,0.005539412,0.009720928,0.4291129,0.009506945,0.0004630435,0.03374857],"study_design_scores_gemma":[0.00005750169,0.00009102755,0.007936063,0.00002488341,0.0001892962,0.000007948874,0.001423085,0.2155184,0.7510582,0.02256443,0.0008052462,0.0003239982],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953536,0.000002427664,0.001778571,0.001959593,0.0003638513,0.000160047,0.0000528584,0.00002983407,0.0002992247],"genre_scores_gemma":[0.9993145,0.00001313404,0.0002783939,0.0001351225,0.00002910323,0.00001605398,0.00002334407,0.000008290339,0.0001820832],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5024196,"threshold_uncertainty_score":0.9980432,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4212966073","doi":"10.5220/0010803100003116","title":"Discrete Mother Tree Optimization and Swarm Intelligence for Constraint Satisfaction Problems","year":2022,"lang":"en","type":"article","venue":"Proceedings of the 14th International Conference on Agents and Artificial Intelligence","topic":"Scheduling and Optimization Algorithms","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Regina","funders":"","keywords":"Constraint satisfaction; Computer science; Constraint satisfaction problem; Swarm intelligence; Constraint satisfaction dual problem; Mathematical optimization; Tree (set theory); Constraint (computer-aided design); Constraint programming; Constraint logic programming; Artificial intelligence; Particle swarm optimization; Mathematics; Algorithm; Combinatorics; Stochastic programming","authors":[{"name":"Wael Korani","is_ca":true},{"name":"Malek Mouhoub","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05902317409062221,"gpt":0.2823177968179281,"spread":0.2232946227273059,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002104271,0.0001350342,0.0001194426,0.0000968551,0.000197042,0.0001174941,0.000220098,0.00003577899,0.000184185],"category_scores_gemma":[0.00006698481,0.0001154143,0.000041522,0.0001262855,0.0001163138,0.0001335443,0.00008554581,0.0001508581,0.000001023811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004536516,"about_ca_system_score_gemma":0.00001311391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001508792,"about_ca_topic_score_gemma":0.000004726891,"domain_scores_codex":[0.9990726,0.000006612983,0.0003210248,0.0002178391,0.0002507084,0.0001312798],"domain_scores_gemma":[0.9995493,0.00003551973,0.0001264977,0.00005307356,0.0001892944,0.00004635833],"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":[0.00005807281,0.00004342939,0.0005879615,0.00005749269,0.00005776543,1.236319e-7,0.001200678,0.7423068,0.001193576,0.1819954,0.00005991561,0.07243884],"study_design_scores_gemma":[0.00004117248,0.00008437076,0.0001237215,0.00005128239,0.00001237732,0.000005004471,0.001777331,0.9760416,0.00925372,0.01235353,0.0001220993,0.0001337789],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1929032,0.0001004351,0.7905412,0.003683027,0.002421729,0.00146588,0.0002158324,0.0002156417,0.008453009],"genre_scores_gemma":[0.9889247,0.0001642739,0.01053804,0.00008391742,0.00005395519,0.0000880375,0.000006317929,0.00001770108,0.0001230289],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7960215,"threshold_uncertainty_score":0.4706458,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4213324003","doi":"10.5220/0010812700003116","title":"Incremental Feature Learning for Fraud Data Stream","year":2022,"lang":"en","type":"article","venue":"Proceedings of the 14th International Conference on Agents and Artificial Intelligence","topic":"Imbalanced Data Classification Techniques","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Regina","funders":"","keywords":"Computer science; Feature (linguistics); Data stream; Artificial intelligence; Data mining","authors":[{"name":"Armin Sadreddin","is_ca":true},{"name":"Samira Sadaoui","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1587867334931862,"gpt":0.3545600555866735,"spread":0.1957733220934873,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000450128,0.0001126208,0.0001055535,0.00009150342,0.0003611885,0.0002222241,0.003078237,0.00002826104,0.00008402535],"category_scores_gemma":[0.0002114855,0.00009313002,0.0000352117,0.000179958,0.0000818349,0.0004589425,0.001851417,0.0002578401,0.00000238707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000505202,"about_ca_system_score_gemma":0.00003861597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001440201,"about_ca_topic_score_gemma":0.0000016153,"domain_scores_codex":[0.9986945,0.00001352519,0.0002484278,0.0004330732,0.0004655824,0.0001449002],"domain_scores_gemma":[0.9991263,0.0000443127,0.0002968566,0.0002480061,0.0002483045,0.0000362634],"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":[0.00004081721,0.0001034356,0.000611703,0.00001153918,0.00002114077,1.799891e-7,0.0002951916,0.00003366826,0.009436227,0.9157022,0.004314096,0.06942983],"study_design_scores_gemma":[0.00009823455,0.0003833613,0.00133297,0.00008637812,0.00001453206,0.0000122178,0.002099182,0.7037352,0.1382238,0.1137546,0.03991905,0.000340489],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2055355,0.0001083717,0.6518966,0.0955869,0.005580163,0.003977252,0.001768818,0.0008218652,0.03472452],"genre_scores_gemma":[0.9902862,0.00003255412,0.008732796,0.0003329972,0.0000582526,0.00006552386,0.00003667209,0.000007036788,0.0004479882],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8019475,"threshold_uncertainty_score":0.5720181,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4212903494","doi":"10.5220/0010871000003116","title":"Soft Adversarial Training Can Retain Natural Accuracy","year":2022,"lang":"en","type":"article","venue":"Proceedings of the 14th International Conference on Agents and Artificial Intelligence","topic":"Adversarial Robustness in Machine Learning","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Adversarial system; Computer science; Robustness (evolution); Software deployment; Artificial intelligence; Machine learning; Artificial neural network; Deep neural networks; Training (meteorology); Computer security; Software engineering","authors":[{"name":"Abhijith Sharma","is_ca":true},{"name":"Apurva Narayan","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.09054413138897463,"gpt":0.3193199465870361,"spread":0.2287758151980614,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005601367,0.0001789626,0.0001775578,0.0001407299,0.0005396168,0.0002525084,0.002216377,0.00003469781,0.0002146756],"category_scores_gemma":[0.000711855,0.0001486531,0.00009117422,0.0003147745,0.0001478992,0.000394116,0.001332437,0.0005865485,0.000003539732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009495806,"about_ca_system_score_gemma":0.00009953968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000060347,"about_ca_topic_score_gemma":0.000005361809,"domain_scores_codex":[0.9980717,0.00003605315,0.0004003585,0.0004494931,0.0007862821,0.0002561412],"domain_scores_gemma":[0.9989861,0.000116996,0.0004159377,0.00014826,0.0002676044,0.00006515478],"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":[0.00007648205,0.00005364673,0.0003821057,0.000007428481,0.00003281022,0.000002132436,0.003973327,0.002504896,0.002043068,0.9011105,0.0001597421,0.08965388],"study_design_scores_gemma":[0.0001154086,0.0001487274,0.0006219018,0.00006845663,0.00001311815,0.00002527974,0.004613383,0.8697738,0.005405027,0.1166922,0.002209693,0.0003130094],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7346233,0.00007161073,0.1229565,0.07786254,0.01685642,0.001597183,0.00009630645,0.0004465535,0.04548969],"genre_scores_gemma":[0.9968057,0.000008935344,0.002002334,0.0005641255,0.0001694815,0.00002279738,0.000002402479,0.00001026075,0.000413944],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8672689,"threshold_uncertainty_score":0.6061895,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4212856284","doi":"10.5220/0010812100003116","title":"Analysing the Sentiments in Online Reviews with Special Focus on Automobile Market","year":2022,"lang":"en","type":"article","venue":"Proceedings of the 14th International Conference on Agents and Artificial Intelligence","topic":"Technology and Data Analysis","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Regina","funders":"","keywords":"Focus (optics); Computer science; Data science; Automotive industry; Engineering; Aerospace engineering","authors":[{"name":"Ayman Yafoz","is_ca":false},{"name":"Farial Syed","is_ca":true},{"name":"Malek Mouhoub","is_ca":true},{"name":"Lisa Fan","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06808432505563496,"gpt":0.3129416896297311,"spread":0.2448573645740962,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005436886,0.0001296642,0.0001750449,0.0001966524,0.0002586659,0.0001306901,0.001650368,0.00002615859,0.000425216],"category_scores_gemma":[0.0000844275,0.00007625617,0.00006400558,0.0005972476,0.0001355826,0.0001903565,0.0006170458,0.0003219312,0.000006600963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000550888,"about_ca_system_score_gemma":0.0000259915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004269424,"about_ca_topic_score_gemma":0.00004846227,"domain_scores_codex":[0.9986353,0.00003462019,0.0003601445,0.0003559547,0.0004603553,0.0001536078],"domain_scores_gemma":[0.9993261,0.00003899025,0.0003039484,0.0002008416,0.0001034551,0.00002664129],"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":[0.000171553,0.0005443008,0.004756647,0.000009408566,0.00008512371,0.000005083441,0.0008362941,0.0003018715,0.0005604738,0.8236493,0.002184962,0.166895],"study_design_scores_gemma":[0.0003161746,0.0009921528,0.01777228,0.0005388628,0.0001090548,0.00004448376,0.004849055,0.6640363,0.02587529,0.2637942,0.02090225,0.000769912],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8935781,0.0001154949,0.008644192,0.05422412,0.001672257,0.001426078,0.0001603818,0.0001150039,0.04006442],"genre_scores_gemma":[0.9984578,0.00009139157,0.000523382,0.0004265458,0.00007552659,0.00003211875,0.000002771877,0.000004032909,0.0003864451],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6637344,"threshold_uncertainty_score":0.4655817,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4213331418","doi":"10.5220/0010899100003116","title":"BRL: A Toolkit for Learning How an Agent Performs Belief Revision","year":2022,"lang":"en","type":"article","venue":"Proceedings of the 14th International Conference on Agents and Artificial Intelligence","topic":"Explainable Artificial Intelligence (XAI)","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"British Columbia Institute of Technology","funders":"","keywords":"Computer science; Belief revision; Artificial intelligence; Programming language; Human–computer interaction","authors":[{"name":"Aaron Hunter","is_ca":true},{"name":"Konstantin Boyarinov","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1163914368832862,"gpt":0.3271015344080956,"spread":0.2107100975248095,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001003274,0.0002362325,0.0002277968,0.0001980126,0.0009266098,0.000647606,0.002364025,0.0000531152,0.0001959726],"category_scores_gemma":[0.0004075353,0.000190503,0.0001355461,0.0003753267,0.0001440573,0.0009297712,0.001006852,0.0004036579,0.00000963764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001203254,"about_ca_system_score_gemma":0.00007080193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003868926,"about_ca_topic_score_gemma":0.000005875224,"domain_scores_codex":[0.9976016,0.00003666747,0.0004873715,0.0006657276,0.0008423594,0.0003663157],"domain_scores_gemma":[0.9984152,0.00008458261,0.0004480698,0.0002319459,0.0006969947,0.0001232614],"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":[0.0001034041,0.0002197856,0.0003497584,0.00002799856,0.00002492817,0.000001065952,0.002381176,0.0009392307,0.006919485,0.853264,0.0003280889,0.135441],"study_design_scores_gemma":[0.00007818228,0.001412934,0.0002659083,0.0001375814,0.00001779442,0.00002019694,0.008050781,0.7398458,0.09411331,0.136099,0.01949371,0.0004647945],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8299279,0.00006840428,0.1260767,0.03081864,0.003366626,0.001955496,0.00005791427,0.0002490428,0.007479339],"genre_scores_gemma":[0.9947497,0.00008058386,0.003117119,0.0004964995,0.0001416612,0.0001062417,0.000005555912,0.00001797864,0.001284702],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7389066,"threshold_uncertainty_score":0.7768485,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4213375807","doi":"10.5220/0010823000003116","title":"Social Transmission of Information through Virtual Robotic Agents","year":2022,"lang":"en","type":"article","venue":"Proceedings of the 14th International Conference on Agents and Artificial Intelligence","topic":"Multi-Agent Systems and Negotiation","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Transmission (telecommunications); Human–computer interaction; Telecommunications","authors":[{"name":"Owais Hamid","is_ca":true},{"name":"Shruti Chandra","is_ca":true},{"name":"Kerstin Dautenhahn","is_ca":true},{"name":"Chrystopher L. Nehaniv","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1078081573746441,"gpt":0.3251019904255119,"spread":0.2172938330508678,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003004096,0.0001173687,0.000150274,0.0001075414,0.0002972277,0.0001112895,0.0009607162,0.0000358286,0.0001725895],"category_scores_gemma":[0.0000414568,0.00009383527,0.00008059141,0.0002365084,0.00007099784,0.000750471,0.0003273504,0.0001521763,0.000005551671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004719399,"about_ca_system_score_gemma":0.00003673843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005187312,"about_ca_topic_score_gemma":7.093161e-7,"domain_scores_codex":[0.9984092,0.00002220102,0.0005157167,0.0001963517,0.0007262559,0.0001303052],"domain_scores_gemma":[0.9990801,0.0000210894,0.0004980443,0.00007760766,0.0002909957,0.0000321476],"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":[0.00004972537,0.0001266533,0.0002522556,0.00002848024,0.00002421507,1.507736e-7,0.006297674,0.0007689747,0.003588083,0.9481734,0.0004494451,0.04024092],"study_design_scores_gemma":[0.0002592511,0.0005257654,0.005869359,0.0002048627,0.00002605448,0.0000107381,0.004660631,0.8165342,0.0775326,0.08726738,0.006699498,0.0004096465],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5893517,0.00002438532,0.3738883,0.01359329,0.003278805,0.001164602,0.00005800689,0.00009671962,0.01854415],"genre_scores_gemma":[0.9988229,0.00002402521,0.0007105472,0.0002186557,0.00004186595,0.000018661,0.000003883091,0.00000402465,0.000155387],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.860906,"threshold_uncertainty_score":0.3826491,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4212997340","doi":"10.5220/0010820800003116","title":"Efficient Removal of Weak Associations in Consensus Clustering","year":2022,"lang":"en","type":"article","venue":"Proceedings of the 14th International Conference on Agents and Artificial Intelligence","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Regina","funders":"","keywords":"Cluster analysis; Computer science; Artificial intelligence","authors":[{"name":"N. Sinorina","is_ca":true},{"name":"Howard J. Hamilton","is_ca":true},{"name":"Sandra Zilles","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07706705037104292,"gpt":0.3269461373103809,"spread":0.249879086939338,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000319256,0.00008363541,0.0001451288,0.0001173827,0.0001212122,0.00003002461,0.0003577188,0.00001234243,0.0004469625],"category_scores_gemma":[0.00002959919,0.00007376879,0.0000712732,0.0002221153,0.00007807978,0.0000174676,0.0003479549,0.0001606437,8.700812e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004432729,"about_ca_system_score_gemma":0.00002379786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001973424,"about_ca_topic_score_gemma":0.00001059305,"domain_scores_codex":[0.9990005,0.00001450175,0.0003844122,0.0001685358,0.0003136475,0.0001183745],"domain_scores_gemma":[0.9993614,0.00003974152,0.000331451,0.00005935192,0.0001875467,0.00002049909],"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":[0.00004907552,0.0002662935,0.01583738,0.000005974592,0.00005102145,3.64268e-7,0.0006105219,0.007965938,0.005190847,0.9556788,0.0001153162,0.01422843],"study_design_scores_gemma":[0.00008779841,0.00009460513,0.007496857,0.0001185868,0.00002802677,0.000003489744,0.005315052,0.8458431,0.01918628,0.121098,0.0005172839,0.0002108995],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9683212,0.000005537694,0.0007667927,0.001036959,0.0001744538,0.0001685887,0.00005406491,0.000009329992,0.02946304],"genre_scores_gemma":[0.9993535,0.000002044328,0.0003647958,0.00002403108,0.00003916168,0.00001753526,0.000003013877,0.000004998948,0.0001908746],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8378772,"threshold_uncertainty_score":0.4893926,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4213015406","doi":"10.5220/0010802900003116","title":"Constrained CP-nets Similarity","year":2022,"lang":"en","type":"article","venue":"Proceedings of the 14th International Conference on Agents and Artificial Intelligence","topic":"Petri Nets in System Modeling","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Regina","funders":"","keywords":"Computer science; Similarity (geometry); Artificial intelligence","authors":[{"name":"Hassan Alkhiri","is_ca":true},{"name":"Malek Mouhoub","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1239718346680104,"gpt":0.3205969248180926,"spread":0.1966250901500822,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005547467,0.0001433725,0.0001542393,0.000128611,0.0003408825,0.0002307002,0.002007334,0.00003239679,0.0002150292],"category_scores_gemma":[0.0001464708,0.0001178363,0.00007041532,0.0002972102,0.0001417589,0.0002702804,0.001097219,0.0002753891,0.000006440037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006798883,"about_ca_system_score_gemma":0.00006194782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002375794,"about_ca_topic_score_gemma":0.000001838502,"domain_scores_codex":[0.998211,0.00002157648,0.0004209103,0.000399642,0.0007498781,0.0001969841],"domain_scores_gemma":[0.9990799,0.00004840294,0.0003049586,0.000159125,0.0003436159,0.00006396326],"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":[0.00002405181,0.00009059088,0.0004211226,0.000009083398,0.0000207615,0.000001195981,0.0007186124,0.0004676635,0.004149369,0.9732221,0.0003437032,0.0205317],"study_design_scores_gemma":[0.00007976092,0.0001809442,0.0004402904,0.0001077898,0.000008574369,0.00004142261,0.001459657,0.764932,0.03113799,0.1980537,0.003253913,0.000303984],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7546467,0.00007375943,0.08771102,0.03758525,0.007152929,0.001152123,0.0001395385,0.000266807,0.1112719],"genre_scores_gemma":[0.9972198,0.00001794205,0.001756504,0.0006258022,0.00005364592,0.0000275117,9.616066e-7,0.000006225752,0.0002915855],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7751684,"threshold_uncertainty_score":0.4805224,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}