{"meta":{"query_hash":"948609a7c25d","filters":{"venue":"ACM Transactions on Autonomous and Adaptive Systems"},"cohort_total":31,"direct_labels_cover":0,"predictions_cover":31,"exported":31,"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/948609a7c25d","api":"https://metacan.xera.ac/api/v1/cohort?venue=ACM+Transactions+on+Autonomous+and+Adaptive+Systems"},"results":[{"id":"W1704319585","doi":"10.1145/2714568","title":"A Distributed Algorithm for Large-Scale Graph Partitioning","year":2015,"lang":"en","type":"article","venue":"ACM Transactions on Autonomous and Adaptive Systems","topic":"Graph Theory and Algorithms","field":"Computer Science","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Stiftelsen för Strategisk Forskning","keywords":"Computer science; Graph partition; Distributed algorithm; Algorithm; Vertex (graph theory); Graph; Theoretical computer science; Distributed computing","score_opus":0.028595173439524713,"score_gpt":0.24579197994502552,"score_spread":0.2171968065055008,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1704319585","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00056233734,0.00024289092,0.9970406,0.00024242856,0.0007326475,0.00043124336,0.00040144403,0.00022707946,0.00011930277],"genre_scores_gemma":[0.8637525,0.00001468064,0.13511099,0.00010618218,0.00009488642,0.00039765675,0.000029197497,0.000020931107,0.0004729675],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987304,0.000095451964,0.00025099333,0.0004216392,0.00015922174,0.00034225607],"domain_scores_gemma":[0.9989612,0.0001339035,0.00008691531,0.00043977745,0.00014811665,0.00023005159],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046825266,0.00018445132,0.00023735665,0.00012573405,0.00043645097,0.0001932287,0.00035890075,0.00007945804,0.0000025149611],"category_scores_gemma":[0.000010436611,0.00016771923,0.00011265873,0.00031068752,0.00004981708,0.00038600827,0.000013972033,0.00013529096,0.0000120459545],"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":[0.00012725049,0.0014343156,0.0000663325,0.000086953,0.0005466339,0.00004345993,0.008109953,0.025117455,0.0001387293,0.32724944,0.0008876836,0.6361918],"study_design_scores_gemma":[0.0023776018,0.001073851,0.00012083424,0.0001016023,0.000052243122,0.00009167944,0.003388238,0.93353844,0.0005836462,0.037395295,0.020713337,0.0005632432],"about_ca_topic_score_codex":0.00003869158,"about_ca_topic_score_gemma":0.000011387366,"teacher_disagreement_score":0.908421,"about_ca_system_score_codex":0.00004901057,"about_ca_system_score_gemma":0.00006318537,"threshold_uncertainty_score":0.6839392},"labels":[],"label_agreement":null},{"id":"W1964137226","doi":"10.1145/1516533.1516538","title":"Self-adaptive software","year":2009,"lang":"en","type":"article","venue":"ACM Transactions on Autonomous and Adaptive Systems","topic":"Advanced Software Engineering Methodologies","field":"Computer Science","cited_by":1243,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Troubleshooting; Adaptation (eye); Software system; Automation; Risk analysis (engineering); Robustness (evolution); Software quality; Software; Software development; Software engineering; Reliability engineering","score_opus":0.032494967736393855,"score_gpt":0.2585102052747229,"score_spread":0.22601523753832906,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1964137226","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00023765456,0.0007409127,0.9960454,0.00023009752,0.0005810452,0.00032279184,0.000011426316,0.0016280039,0.00020265198],"genre_scores_gemma":[0.2994149,0.000065637076,0.7000622,0.00009456132,0.000036814097,0.000035802797,4.7080385e-7,0.000013167634,0.00027643828],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985457,0.0001305795,0.00025889848,0.00053086726,0.00019214337,0.00034179242],"domain_scores_gemma":[0.99837667,0.0005872172,0.00008853631,0.0007319934,0.000083667874,0.00013190309],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00025918338,0.00026773874,0.0003175238,0.0001675037,0.00026158002,0.00011249014,0.0005967784,0.00011241505,0.0000020776736],"category_scores_gemma":[0.00006502581,0.00024564433,0.00008202019,0.0002904585,0.00003942833,0.00049183273,0.000015863807,0.0002872785,0.000022807526],"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":[0.00004185327,0.00023801725,0.000005708677,0.000035947312,0.00014762043,0.000055869918,0.0018328921,0.19160481,0.00017613966,0.054133292,0.000046473837,0.7516814],"study_design_scores_gemma":[0.008799616,0.022745553,0.012726577,0.0017898033,0.0004473263,0.0021129,0.0054872804,0.6021225,0.013673869,0.25795877,0.06182883,0.010307009],"about_ca_topic_score_codex":0.0000177565,"about_ca_topic_score_gemma":0.0000015941706,"teacher_disagreement_score":0.7413744,"about_ca_system_score_codex":0.00013704262,"about_ca_system_score_gemma":0.00006179958,"threshold_uncertainty_score":0.9999996},"labels":[],"label_agreement":null},{"id":"W1967666605","doi":"10.1145/2019583.2019589","title":"An adaptive and predictive approach for autonomic multirate multicast networks","year":2011,"lang":"en","type":"article","venue":"ACM Transactions on Autonomous and Adaptive Systems","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba; St. Francis Xavier University","funders":"","keywords":"Multicast; Computer science; Xcast; Computer network; Source-specific multicast; Pragmatic General Multicast; Protocol Independent Multicast; Distributed computing; Scalability; Multicast address; IP multicast","score_opus":0.0352520881583181,"score_gpt":0.22558506519002214,"score_spread":0.19033297703170404,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1967666605","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0018689892,0.00041570532,0.99525774,0.00003719805,0.00041289048,0.001253344,0.00006815203,0.00026898886,0.00041697887],"genre_scores_gemma":[0.9220859,0.00004280806,0.07695276,0.00006933399,0.000101563855,0.0005286029,0.000005594048,0.000026464633,0.00018696082],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99815893,0.00015799384,0.0003521351,0.0008145531,0.000110595545,0.00040578525],"domain_scores_gemma":[0.9986434,0.00021285683,0.00015117979,0.000584905,0.00012930155,0.00027836277],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00031370734,0.00032166604,0.00038136152,0.00012645195,0.00045809176,0.0001597619,0.00045870437,0.00016515191,0.0000032952305],"category_scores_gemma":[0.000005510593,0.00029035207,0.00008507207,0.0001381709,0.00016503273,0.00056863326,0.000016996411,0.00024729277,0.0000029233358],"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":[0.00076981256,0.0006637621,0.00004738326,0.000024584662,0.00041678856,0.000007627118,0.0038610008,0.32098812,0.000043504697,0.041653667,0.000026024365,0.63149774],"study_design_scores_gemma":[0.0012258515,0.001670898,0.0006880785,0.000030937597,0.00006377943,0.000029437533,0.0009923483,0.9946068,0.000023144326,0.00015817126,0.0001839347,0.00032661992],"about_ca_topic_score_codex":0.00011824021,"about_ca_topic_score_gemma":0.000014698835,"teacher_disagreement_score":0.9202169,"about_ca_system_score_codex":0.00006950319,"about_ca_system_score_gemma":0.00007050876,"threshold_uncertainty_score":0.9999549},"labels":[],"label_agreement":null},{"id":"W2000058312","doi":"10.1145/2567926","title":"Mitigating DoS Attacks Using Performance Model-Driven Adaptive Algorithms","year":2014,"lang":"en","type":"article","venue":"ACM Transactions on Autonomous and Adaptive Systems","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University; York University","funders":"Natural Sciences and Engineering Research Council of Canada; Amazon Catalyst; International Business Machines Corporation","keywords":"Computer science; Denial-of-service attack; Scalability; Firewall (physics); Computer security; Computer network; The Internet; Algorithm; Distributed computing; World Wide Web; Database","score_opus":0.03509982188862211,"score_gpt":0.2440907167487519,"score_spread":0.20899089486012978,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2000058312","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04301523,0.00011272293,0.9550862,0.00008374602,0.00061922753,0.00032716888,0.000010840296,0.00021355177,0.0005313452],"genre_scores_gemma":[0.92919177,0.00004533081,0.07026919,0.00009570839,0.00013000534,0.000043899283,0.0000012143188,0.000019805108,0.00020306914],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99824923,0.00015369811,0.00037753448,0.00058029615,0.00027120084,0.000368021],"domain_scores_gemma":[0.99884135,0.00013051367,0.00018034568,0.00056296546,0.00012661605,0.00015820027],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00032178106,0.00026675084,0.0003081369,0.00016571947,0.00081906834,0.0001983734,0.00044922225,0.00014326196,0.0000050106173],"category_scores_gemma":[0.000007792193,0.0002525912,0.00009365496,0.00030553833,0.00009107258,0.000768361,0.000033683107,0.00037322802,0.000024182373],"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":[0.000025151045,0.00006666473,0.00001128436,0.000026569593,0.00005341207,0.0000019542942,0.0010525588,0.804494,0.00048446062,0.008110056,0.000011632151,0.18566225],"study_design_scores_gemma":[0.00036440897,0.00049262494,0.000048213915,0.00017209865,0.000019171413,0.000056406076,0.00015158011,0.9963788,0.00094211235,0.00037379793,0.00069335214,0.0003074408],"about_ca_topic_score_codex":0.00016159932,"about_ca_topic_score_gemma":0.000018171895,"teacher_disagreement_score":0.8861765,"about_ca_system_score_codex":0.0001331285,"about_ca_system_score_gemma":0.00006650359,"threshold_uncertainty_score":0.9999926},"labels":[],"label_agreement":null},{"id":"W2006638148","doi":"10.1145/1186778.1186780","title":"Reactive provisioning of backend databases in shared dynamic content server clusters","year":2006,"lang":"en","type":"article","venue":"ACM Transactions on Autonomous and Adaptive Systems","topic":"Distributed systems and fault tolerance","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Provisioning; Distributed computing; Resource allocation; Replication (statistics); High availability; Context (archaeology); Replica; Fault tolerance; Benchmark (surveying); Server; Database; Transaction processing; Computer network; Database transaction","score_opus":0.03455533401892498,"score_gpt":0.24785882832669695,"score_spread":0.21330349430777196,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2006638148","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.096184514,0.0005905965,0.90097487,0.00017025393,0.0004053979,0.00070652115,0.00038569683,0.000082650564,0.00049952004],"genre_scores_gemma":[0.9960707,0.000010551268,0.0033118275,0.000017468736,0.000013026666,0.00007286685,0.00002305494,0.000012033235,0.00046847237],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99836975,0.00010984126,0.0005367496,0.00049593067,0.00022515678,0.00026258884],"domain_scores_gemma":[0.9988685,0.00014300268,0.0002254657,0.00058983883,0.000108702705,0.000064452885],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025347786,0.00020712658,0.00038260987,0.00017892366,0.00012119575,0.000097080614,0.0003794286,0.000052834974,0.000003834357],"category_scores_gemma":[0.000009087006,0.00018382983,0.00007438425,0.0003130931,0.00006114401,0.00064330193,0.000023595832,0.0001713737,0.0000061534133],"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":[0.0014689189,0.007535336,0.009536872,0.0023719205,0.0012855696,0.0006416585,0.012197273,0.4096344,0.037998646,0.2256567,0.0009411264,0.29073155],"study_design_scores_gemma":[0.0056171753,0.0009791015,0.068766765,0.003134199,0.000064110536,0.0001936676,0.005840919,0.90443367,0.0025420582,0.00047084803,0.0064891772,0.0014682916],"about_ca_topic_score_codex":0.0064981193,"about_ca_topic_score_gemma":0.0009817376,"teacher_disagreement_score":0.8998862,"about_ca_system_score_codex":0.00014686561,"about_ca_system_score_gemma":0.00007539167,"threshold_uncertainty_score":0.9823256},"labels":[],"label_agreement":null},{"id":"W2030941612","doi":"10.1145/2746345","title":"Autonomous Orchestration of Distributed Discrete Event Simulations in the Presence of Resource Uncertainty","year":2015,"lang":"en","type":"article","venue":"ACM Transactions on Autonomous and Adaptive Systems","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Computer science; Distributed computing; Stateful firewall; Discrete event simulation; Scalability; Resource (disambiguation); Orchestration; Liveness; Event (particle physics); Synchronization (alternating current); Resource allocation; Real-time computing; Simulation; Computer network; Database","score_opus":0.12100948749920432,"score_gpt":0.37005367505200637,"score_spread":0.24904418755280205,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2030941612","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1518196,0.00011686466,0.8443842,0.0010799894,0.0000739359,0.001154203,0.0006191372,0.00004442063,0.0007076864],"genre_scores_gemma":[0.998865,0.00000450911,0.00076792017,0.000018796063,0.000016632826,0.000087975735,0.000022354569,0.000007579618,0.00020924483],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99755496,0.00040197195,0.000920466,0.00033268597,0.00063977396,0.0001501492],"domain_scores_gemma":[0.9964481,0.0019331998,0.00040638822,0.00080045883,0.00033186132,0.00008000694],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015799552,0.0001418155,0.0003114524,0.00021630345,0.00013831076,0.000068935995,0.0005448013,0.00008826204,0.000014117893],"category_scores_gemma":[0.00039768,0.000095228,0.00008798228,0.000848234,0.00018519386,0.0001855326,0.000014097493,0.0001632384,0.0000032398275],"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":[0.00006401693,0.00018150194,0.00046646656,0.000007230423,0.000016102202,6.321977e-7,0.0023085552,0.9750859,0.0002047453,0.011497238,0.00010993048,0.010057651],"study_design_scores_gemma":[0.0012800478,0.00088473345,0.012111863,0.00014676581,0.00006290365,0.000016575957,0.024648294,0.9101468,0.0014917953,0.028336227,0.020497972,0.00037606037],"about_ca_topic_score_codex":0.00079093146,"about_ca_topic_score_gemma":0.00015637935,"teacher_disagreement_score":0.84704536,"about_ca_system_score_codex":0.00007817033,"about_ca_system_score_gemma":0.00014877252,"threshold_uncertainty_score":0.38832852},"labels":[],"label_agreement":null},{"id":"W2061191276","doi":"10.1145/2491465.2491469","title":"Adaptive Composition of Distributed Pervasive Applications in Heterogeneous Environments","year":2013,"lang":"en","type":"article","venue":"ACM Transactions on Autonomous and Adaptive Systems","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Distributed computing; Unavailability; Latency (audio); Ubiquitous computing; Reuse; Distributed Computing Environment; Process (computing); Human–computer interaction; Operating system","score_opus":0.022077894232120157,"score_gpt":0.22347312904037264,"score_spread":0.2013952348082525,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2061191276","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04270042,0.0002135537,0.9549375,0.00011933683,0.00012612286,0.0015128161,0.00018914447,0.00007065023,0.00013045914],"genre_scores_gemma":[0.9971328,0.0000265181,0.001792406,0.00002467329,0.00001567938,0.0008916494,0.000019459585,0.000014840464,0.000082012746],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99831456,0.0002018908,0.00049254467,0.00050800777,0.0002329974,0.0002500045],"domain_scores_gemma":[0.99864537,0.00030389082,0.00024368151,0.00059521076,0.000087662236,0.00012416727],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012596296,0.00023586348,0.00038820828,0.00022437566,0.00016951779,0.000091107184,0.00040803457,0.00010928869,0.000018113344],"category_scores_gemma":[0.0000043106484,0.00023103565,0.00009806644,0.00030174735,0.00009807385,0.00054630474,0.000027385819,0.00018374978,0.0000633945],"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":[0.00029453007,0.007679505,0.0035179816,0.00045282743,0.0018077687,0.00006999018,0.012523335,0.10820065,0.05251816,0.018255817,0.00013673224,0.79454273],"study_design_scores_gemma":[0.010999267,0.0061234715,0.08730511,0.001990348,0.00032868332,0.00093380816,0.017558789,0.7909296,0.06274568,0.007112222,0.009009842,0.004963154],"about_ca_topic_score_codex":0.0010750124,"about_ca_topic_score_gemma":0.0000522964,"teacher_disagreement_score":0.95443237,"about_ca_system_score_codex":0.0002046749,"about_ca_system_score_gemma":0.000044727705,"threshold_uncertainty_score":0.94213605},"labels":[],"label_agreement":null},{"id":"W2069522046","doi":"10.1145/1921641.1921648","title":"A Decentralized Self-Organizing Service Composition for Autonomic Entities","year":2011,"lang":"en","type":"article","venue":"ACM Transactions on Autonomous and Adaptive Systems","topic":"Service-Oriented Architecture and Web Services","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Service composition; Service discovery; Distributed computing; Overlay network; Service (business); Overlay; Autonomic computing; Inefficiency; Differentiated service; Matching (statistics); Computer network; Service provider; Web service; Quality of service; Service design; Cloud computing; World Wide Web","score_opus":0.030039311665054295,"score_gpt":0.22029938515816547,"score_spread":0.19026007349311116,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2069522046","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.039135035,0.00033841058,0.95718724,0.0004406754,0.000855472,0.00080467405,0.000047295558,0.0005715467,0.0006196268],"genre_scores_gemma":[0.93871456,0.000047346562,0.06029643,0.0006444262,0.000049506405,0.00015483395,0.000007916379,0.000026527905,0.000058448473],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985682,0.000085252825,0.00033768782,0.00051334535,0.00013564654,0.000359885],"domain_scores_gemma":[0.99886894,0.00014254851,0.00014495732,0.0005509417,0.00014991536,0.00014271648],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015626666,0.00026218756,0.00029223107,0.00018495704,0.0004755142,0.00018543798,0.00064767856,0.000097681266,0.000014492969],"category_scores_gemma":[9.81467e-7,0.00024439814,0.00009352903,0.0002836803,0.000023847706,0.0004851452,0.000027509153,0.00014073474,0.00002720989],"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":[0.0012837573,0.003715906,0.00048828556,0.002124195,0.0034251343,0.00006249153,0.25173897,0.011093989,0.023573622,0.553026,0.00016024637,0.14930741],"study_design_scores_gemma":[0.015485224,0.0053852526,0.008916493,0.0017149,0.0011713443,0.00084769906,0.023678783,0.72974056,0.09082523,0.023622,0.09308815,0.0055243443],"about_ca_topic_score_codex":0.0010560178,"about_ca_topic_score_gemma":0.00020404249,"teacher_disagreement_score":0.8995795,"about_ca_system_score_codex":0.00008933911,"about_ca_system_score_gemma":0.00008772736,"threshold_uncertainty_score":0.9966267},"labels":[],"label_agreement":null},{"id":"W2091682271","doi":"10.1145/2767133","title":"SMT-Based Synthesis of Distributed Self-Stabilizing Systems","year":2015,"lang":"en","type":"article","venue":"ACM Transactions on Autonomous and Adaptive Systems","topic":"Distributed systems and fault tolerance","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Computer science; Mutual exclusion; Self-stabilization; Asynchronous communication; Correctness; Distributed computing; Token ring; Dijkstra's algorithm; Security token; Suzuki-Kasami algorithm; Distributed algorithm; Protocol (science); Matching (statistics); Set (abstract data type); State (computer science); Topology (electrical circuits); Theoretical computer science; Graph; Algorithm; Computer network; Shortest path problem; Mathematics","score_opus":0.031948815322003214,"score_gpt":0.23747035590302407,"score_spread":0.20552154058102085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2091682271","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0052884025,0.0009649688,0.990413,0.00018146816,0.00096722477,0.0006289051,0.0005237406,0.00036577292,0.0006664865],"genre_scores_gemma":[0.9952284,0.000012036669,0.0043901834,0.000015603535,0.00004249751,0.00020836284,0.000007771169,0.000021412257,0.000073723946],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975915,0.0002830406,0.0007025728,0.0005893716,0.00044886972,0.00038463],"domain_scores_gemma":[0.99755156,0.00040434985,0.0003345964,0.0010407304,0.0003609915,0.00030777138],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006920621,0.0003159874,0.00063685514,0.00018009036,0.00020746436,0.00023586606,0.0007334332,0.00015631581,0.0000017525948],"category_scores_gemma":[0.000055511806,0.00027860646,0.0001324218,0.0005230036,0.0000809364,0.00037966485,0.00001998646,0.00019115697,0.000018025778],"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":[0.00044374616,0.0036950759,0.0013050853,0.0023700537,0.0016255433,0.0001769811,0.0053211106,0.7710663,0.001594608,0.13613781,0.0016431264,0.07462057],"study_design_scores_gemma":[0.0017775568,0.0008235614,0.00046575165,0.0009383251,0.00011299397,0.000105479005,0.0032074773,0.9660718,0.002007796,0.00013571784,0.023463206,0.00089033146],"about_ca_topic_score_codex":0.0011047311,"about_ca_topic_score_gemma":0.00001869839,"teacher_disagreement_score":0.98994,"about_ca_system_score_codex":0.00022709467,"about_ca_system_score_gemma":0.00029207778,"threshold_uncertainty_score":0.9999666},"labels":[],"label_agreement":null},{"id":"W2093626667","doi":"10.1145/2240166.2240174","title":"Designing and optimizing swarming in a distributed base station network","year":2012,"lang":"en","type":"article","venue":"ACM Transactions on Autonomous and Adaptive Systems","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Computer science; Swarming (honey bee); Distributed computing; Quality of service; Power control; Computer network; Power (physics)","score_opus":0.04658669684505725,"score_gpt":0.27377386134057025,"score_spread":0.227187164495513,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2093626667","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008004521,0.0014916479,0.9895977,0.000251094,0.00014459986,0.00033171504,0.000008108727,0.00008655915,0.00008409212],"genre_scores_gemma":[0.90878516,0.00017021476,0.0908335,0.000023943108,0.00003843718,0.00009755269,0.0000043530817,0.000011108704,0.000035702233],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985625,0.00033981883,0.00027053276,0.0002591868,0.0001599703,0.0004079988],"domain_scores_gemma":[0.9986818,0.00054775533,0.00008564167,0.00047654248,0.000052156287,0.00015609346],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007912843,0.00013929424,0.00018920167,0.00014584574,0.00034513324,0.00018732561,0.00033136984,0.00006718379,0.0000021989913],"category_scores_gemma":[0.000017483582,0.00013813801,0.000024071314,0.0004380674,0.00005077059,0.00071796775,0.000042867385,0.00028900258,0.0000036203423],"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":[0.000059344937,0.00026406362,0.0015308022,0.00006508988,0.000085563195,0.000011010438,0.0057446165,0.7524939,0.000751244,0.018166797,0.00006522845,0.22076231],"study_design_scores_gemma":[0.00060760416,0.0001235035,0.0031512845,0.00025054143,0.000009344864,0.00003592875,0.0013477133,0.9929787,0.00029104494,0.00020285742,0.00071291334,0.0002885784],"about_ca_topic_score_codex":0.00023128738,"about_ca_topic_score_gemma":0.000033107,"teacher_disagreement_score":0.9007807,"about_ca_system_score_codex":0.00012543121,"about_ca_system_score_gemma":0.000047235688,"threshold_uncertainty_score":0.56331044},"labels":[],"label_agreement":null},{"id":"W2143889951","doi":"10.1145/1216895.1216898","title":"A performance analysis method for autonomic computing systems","year":2007,"lang":"en","type":"article","venue":"ACM Transactions on Autonomous and Adaptive Systems","topic":"Distributed systems and fault tolerance","field":"Computer Science","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"IBM (Canada)","funders":"","keywords":"Computer science; Autonomic computing; Workload; Distributed computing; Provisioning; Cloud computing; Computer network; Operating system","score_opus":0.023511537168247294,"score_gpt":0.2781364831931525,"score_spread":0.2546249460249052,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2143889951","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008124429,0.0004746457,0.98828214,0.000092267735,0.0011567364,0.00087614334,0.000102382925,0.00027767706,0.00061354623],"genre_scores_gemma":[0.94302756,0.000013794656,0.05596103,0.000050236868,0.00010713644,0.00008581298,0.000008215857,0.000020372301,0.00072585756],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975091,0.00011436396,0.00077663956,0.000779353,0.00024412342,0.00057642435],"domain_scores_gemma":[0.9978752,0.0005425579,0.00032564282,0.00084937195,0.00019466564,0.00021256442],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0017497675,0.0003257582,0.0006861094,0.00045232236,0.000611713,0.0003730871,0.000697203,0.00015318736,0.0000016449936],"category_scores_gemma":[0.000011144351,0.0002984301,0.00025298417,0.0008848173,0.000045833134,0.00038285257,0.00002129053,0.00020815078,0.000012786131],"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":[0.00010452972,0.00024537122,0.0004180071,0.00025486972,0.001783922,0.000014081259,0.0016819539,0.6940205,0.0003889121,0.038985178,0.000105952175,0.2619967],"study_design_scores_gemma":[0.00056838855,0.0002808496,0.0021302416,0.0000960903,0.00015556854,0.00005037165,0.0004956845,0.9859699,0.0001240739,0.000020476855,0.009738553,0.00036978634],"about_ca_topic_score_codex":0.00062391715,"about_ca_topic_score_gemma":0.000040471652,"teacher_disagreement_score":0.9349031,"about_ca_system_score_codex":0.00024085738,"about_ca_system_score_gemma":0.00008901518,"threshold_uncertainty_score":0.9999468},"labels":[],"label_agreement":null},{"id":"W2146891860","doi":"10.1145/2382570.2382573","title":"The XtreemOS Resource Selection Service","year":2012,"lang":"en","type":"article","venue":"ACM Transactions on Autonomous and Adaptive Systems","topic":"Peer-to-Peer Network Technologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bell (Canada)","funders":"Sixth Framework Programme","keywords":"Computer science; Scalability; RSS; Node (physics); Resource (disambiguation); Service (business); Distributed computing; Database; Set (abstract data type); Selection (genetic algorithm); Routing (electronic design automation); Data mining; Computer network; World Wide Web; Machine learning","score_opus":0.02526946131923585,"score_gpt":0.2352867514960244,"score_spread":0.21001729017678855,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2146891860","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0063770907,0.00070651196,0.9837263,0.0059740474,0.0006909951,0.00048050744,0.0000066565603,0.0007709655,0.0012669266],"genre_scores_gemma":[0.98832905,0.000024823597,0.0094314935,0.00033700225,0.00010240963,0.00015115607,4.84395e-7,0.000015826374,0.0016077686],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986585,0.00010900433,0.00022269918,0.00032440256,0.00021815494,0.00046726436],"domain_scores_gemma":[0.9986629,0.0002846834,0.000079533194,0.0007449094,0.000086291664,0.000141669],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043566138,0.00018612127,0.00016322576,0.000118300355,0.0007899541,0.00022980294,0.00085321185,0.000103274215,0.0000017808635],"category_scores_gemma":[0.000019273573,0.00013717437,0.000044668155,0.00069993356,0.0000453448,0.00035876274,0.000045135665,0.00026802573,0.00008408322],"study_design_candidate":"design_other","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":[0.00006563933,0.00023680812,0.00026678934,0.00003141579,0.00022420876,0.0000036411216,0.0032456254,0.022316223,0.00095728657,0.066516496,0.0033106992,0.9028252],"study_design_scores_gemma":[0.00054878235,0.00067714695,0.0046461807,0.00012990853,0.000048081805,0.00026662808,0.0026992534,0.115507886,0.0024043529,0.0010395958,0.8712156,0.0008165844],"about_ca_topic_score_codex":0.00024236251,"about_ca_topic_score_gemma":0.00013079181,"teacher_disagreement_score":0.98195195,"about_ca_system_score_codex":0.00012748544,"about_ca_system_score_gemma":0.000036446123,"threshold_uncertainty_score":0.60757685},"labels":[],"label_agreement":null},{"id":"W2234748059","doi":"10.1145/2822896","title":"Designing Adaptive Applications Deployed on Cloud Environments","year":2016,"lang":"en","type":"article","venue":"ACM Transactions on Autonomous and Adaptive Systems","topic":"Advanced Software Engineering Methodologies","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Adaptation (eye); Cloud computing; Ranking (information retrieval); Task (project management); Distributed computing; Quality (philosophy); Control (management); Software; Data mining; Machine learning; Artificial intelligence; Systems engineering; Operating system","score_opus":0.04204519625515511,"score_gpt":0.253166825549227,"score_spread":0.21112162929407186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2234748059","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0002443503,0.00019743374,0.99793196,0.00016377584,0.00037435803,0.00052323076,0.000022732322,0.00044638026,0.00009578027],"genre_scores_gemma":[0.62847173,0.00009077921,0.37008703,0.000046964866,0.000056953515,0.0004548036,4.176386e-7,0.000028046388,0.0007632406],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998514,0.0001712869,0.000249643,0.00057427824,0.00019073643,0.00030007696],"domain_scores_gemma":[0.99766207,0.0013235544,0.00010433783,0.0007649183,0.000023765755,0.00012136338],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026336222,0.0002437228,0.0002460441,0.00014182676,0.00027403215,0.00004610699,0.00051447446,0.00009155727,0.000002896275],"category_scores_gemma":[0.000041465566,0.00018168462,0.000064010856,0.00016319478,0.000111472866,0.00030335074,0.000023388078,0.00016570087,0.0000638248],"study_design_candidate":"design_other","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":[0.00009035561,0.0002446203,0.000015566924,0.000020758935,0.00022609734,0.00001680077,0.0007824318,0.18421462,0.014373587,0.05283346,0.00004627109,0.7471354],"study_design_scores_gemma":[0.021320824,0.02373725,0.007963433,0.0056361808,0.0006844598,0.0008905562,0.009097714,0.099692844,0.412472,0.19119745,0.21205986,0.015247419],"about_ca_topic_score_codex":0.000013947894,"about_ca_topic_score_gemma":0.0000012824795,"teacher_disagreement_score":0.731888,"about_ca_system_score_codex":0.00019829303,"about_ca_system_score_gemma":0.000031618554,"threshold_uncertainty_score":0.7408884},"labels":[],"label_agreement":null},{"id":"W2294683399","doi":"10.1145/1452001.1452008","title":"Logarithmic keying","year":2008,"lang":"en","type":"article","venue":"ACM Transactions on Autonomous and Adaptive Systems","topic":"Security in Wireless Sensor Networks","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Computer science; Keying; Computer network; Process (computing); Bipartite graph; Logarithm; Scheme (mathematics); Theoretical computer science; Distributed computing; Topology (electrical circuits); Mathematics; Telecommunications; Combinatorics; Graph","score_opus":0.035128976177722045,"score_gpt":0.22540256905592693,"score_spread":0.1902735928782049,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2294683399","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.023465019,0.00055435376,0.9728487,0.0003293983,0.0008871365,0.0002954714,0.000008112446,0.00035273482,0.0012590542],"genre_scores_gemma":[0.9882772,0.00016827832,0.010589596,0.0001265313,0.00008004198,0.00004183091,7.754473e-7,0.000016034131,0.0006997183],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99867606,0.00009188773,0.00025732972,0.00045594026,0.00020780978,0.00031099102],"domain_scores_gemma":[0.9988347,0.00020109792,0.00008183183,0.00068793405,0.00006402813,0.00013035153],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012297419,0.00019705552,0.00024825582,0.0001452198,0.00053416914,0.00010178388,0.00054968457,0.00011107604,0.000008239187],"category_scores_gemma":[0.000006998862,0.00018929888,0.00007569122,0.00024862017,0.00010848546,0.00032147524,0.0000184957,0.00029238727,0.00006302522],"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":[0.00013874347,0.0013255336,0.0005426319,0.00017516913,0.0008101843,0.0010705269,0.02302214,0.2637745,0.0015686398,0.1888865,0.0013139371,0.5173715],"study_design_scores_gemma":[0.0017483918,0.0009188174,0.0022356554,0.00027020238,0.00004023978,0.0026002126,0.0010191422,0.9634454,0.0012915421,0.0014821184,0.023642207,0.001306067],"about_ca_topic_score_codex":0.00027076082,"about_ca_topic_score_gemma":0.000014747818,"teacher_disagreement_score":0.96481216,"about_ca_system_score_codex":0.000096035445,"about_ca_system_score_gemma":0.000059110826,"threshold_uncertainty_score":0.77193844},"labels":[],"label_agreement":null},{"id":"W2521682114","doi":"10.1145/2967499","title":"Attributed Graph Rewriting for Complex Event Processing Self-Management","year":2016,"lang":"en","type":"article","venue":"ACM Transactions on Autonomous and Adaptive Systems","topic":"Advanced Database Systems and Queries","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Control reconfiguration; Rewriting; Complex event processing; Graph rewriting; Graph; Formalism (music); Theoretical computer science; Distributed computing; Data science; Process (computing); Programming language","score_opus":0.032994234526794876,"score_gpt":0.2653379391501241,"score_spread":0.23234370462332923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2521682114","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0002800591,0.00025125558,0.9970611,0.0005138064,0.0002744297,0.00086014596,0.00017974424,0.00036136343,0.0002181175],"genre_scores_gemma":[0.75431997,0.00006893617,0.24444851,0.000060237617,0.000050362043,0.00043474408,0.000005741751,0.000021325091,0.0005901599],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984494,0.00006645574,0.0003953527,0.0005558018,0.00018190805,0.00035107927],"domain_scores_gemma":[0.9988812,0.0001649863,0.00017212333,0.00053795974,0.0001307262,0.00011300246],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030676526,0.00022224017,0.00028954502,0.00015022693,0.00056725973,0.00009170026,0.0003006744,0.000051305313,0.0000027935905],"category_scores_gemma":[0.000008327493,0.00015827661,0.000089080975,0.00021971614,0.00005046914,0.00060330005,0.000027232054,0.00006567825,0.000006266017],"study_design_candidate":"design_other","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":[0.00006603684,0.00025225166,0.000019437828,0.00047690328,0.00027936336,0.00001771436,0.00073193596,0.0017743666,0.0016916657,0.22376418,0.00019905776,0.7707271],"study_design_scores_gemma":[0.008570358,0.002000482,0.0013342402,0.0038733748,0.00022455592,0.00030745805,0.0044052736,0.21260087,0.0027615898,0.004472637,0.7568862,0.002562949],"about_ca_topic_score_codex":0.000039603343,"about_ca_topic_score_gemma":0.000014864387,"teacher_disagreement_score":0.76816416,"about_ca_system_score_codex":0.00012411576,"about_ca_system_score_gemma":0.000038914757,"threshold_uncertainty_score":0.6454333},"labels":[],"label_agreement":null},{"id":"W2768132788","doi":"10.1145/3139290","title":"From DevOps to BizOps","year":2017,"lang":"en","type":"article","venue":"ACM Transactions on Autonomous and Adaptive Systems","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Computer science; Cloud computing; Virtualization; Revenue; Profitability index; Pooling; Profit (economics); Industrial organization; Process management; Business; Finance; Microeconomics","score_opus":0.02820716190060576,"score_gpt":0.25169261265104226,"score_spread":0.2234854507504365,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2768132788","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10284329,0.00009998865,0.8902797,0.0025143314,0.0011145625,0.00029690136,0.000016135768,0.00020320559,0.0026318813],"genre_scores_gemma":[0.9860013,0.0000028803213,0.011168008,0.00014974448,0.0001411764,0.000032999444,3.0609908e-7,0.000011180716,0.0024923703],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99884695,0.00004942578,0.00019110276,0.00050087436,0.00017610689,0.0002355516],"domain_scores_gemma":[0.99814075,0.00009184804,0.00010337169,0.0014617736,0.000039882296,0.00016237477],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017046407,0.00016589604,0.0002022577,0.00010059393,0.0009687373,0.00060973706,0.0011907901,0.000053015356,0.000005171076],"category_scores_gemma":[0.000014686935,0.00014308757,0.000062999105,0.000073782634,0.00004377777,0.000039713836,0.00008899103,0.00013310526,0.00010353304],"study_design_candidate":"design_other","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":[0.000030411187,0.00019399986,0.00009642878,0.000020375099,0.0002323845,0.000052902495,0.0034492742,0.05680459,0.00022308981,0.014029647,0.0004879477,0.92437893],"study_design_scores_gemma":[0.0022104357,0.0014011707,0.02445094,0.0006811233,0.00010040385,0.00005575315,0.002454432,0.7934881,0.0011596134,0.0045383773,0.16775598,0.0017036928],"about_ca_topic_score_codex":0.0023715254,"about_ca_topic_score_gemma":0.00005455685,"teacher_disagreement_score":0.92267525,"about_ca_system_score_codex":0.00005466659,"about_ca_system_score_gemma":0.00002548964,"threshold_uncertainty_score":0.7450842},"labels":[],"label_agreement":null},{"id":"W2800971793","doi":"10.1145/3105748","title":"Engineering Self-Adaptive Software Systems","year":2018,"lang":"en","type":"article","venue":"ACM Transactions on Autonomous and Adaptive Systems","topic":"Advanced Software Engineering Methodologies","field":"Computer Science","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Adaptation (eye); Scheduling (production processes); Exploit; Controller (irrigation); Software; Distributed computing; Mathematical optimization","score_opus":0.03129015442811151,"score_gpt":0.24782120282479603,"score_spread":0.21653104839668452,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2800971793","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000646214,0.00077290396,0.99343985,0.000043649634,0.002435638,0.00045149503,0.00002207877,0.0020870105,0.0001011791],"genre_scores_gemma":[0.4295092,0.00003993462,0.5697432,0.000021946113,0.00016333828,0.00013444839,6.541306e-7,0.000038171376,0.00034909937],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99810547,0.00013737468,0.0003631256,0.00067493104,0.00025091934,0.0004681957],"domain_scores_gemma":[0.9977121,0.0008850695,0.00011878589,0.00092674297,0.00018346022,0.00017386008],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004241018,0.00035855264,0.0004199655,0.00025571257,0.00032244154,0.00020207968,0.0007245478,0.00015524997,0.0000030306787],"category_scores_gemma":[0.00011805755,0.00033831794,0.00008325772,0.0003975794,0.000079161706,0.0005518308,0.00004364701,0.00031697872,0.000063079075],"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":[0.00005380054,0.00018744977,0.000019877605,0.0002036933,0.0005356338,0.0000640451,0.0033736236,0.8511816,0.0005922629,0.05084601,0.000101533195,0.09284046],"study_design_scores_gemma":[0.0015164118,0.0030143238,0.0007977615,0.00090292224,0.00011603177,0.0006171291,0.0013890739,0.9629799,0.0028184596,0.0020150307,0.021484794,0.0023481685],"about_ca_topic_score_codex":0.000091351285,"about_ca_topic_score_gemma":0.0000030390513,"teacher_disagreement_score":0.428863,"about_ca_system_score_codex":0.0002202862,"about_ca_system_score_gemma":0.00007658651,"threshold_uncertainty_score":0.9999069},"labels":[],"label_agreement":null},{"id":"W2801697436","doi":"10.1145/3157087","title":"Viable Algorithmic Options for Designing Reactive Robot Swarms","year":2018,"lang":"en","type":"article","venue":"ACM Transactions on Autonomous and Adaptive Systems","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Swarm behaviour; Computer science; Generalization; Robot; Grid; Controller (irrigation); Swarm robotics; Computation; Polynomial; Mathematical optimization; Theoretical computer science; Artificial intelligence; Algorithm; Mathematics","score_opus":0.03448154414440316,"score_gpt":0.25922872384737156,"score_spread":0.2247471797029684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2801697436","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0003769358,0.00025382216,0.99503404,0.00035077368,0.0014230697,0.0015191818,0.00015375097,0.0003639352,0.0005245188],"genre_scores_gemma":[0.9167462,0.00001323854,0.08067124,0.00006697837,0.0002464482,0.0007921162,0.000008593513,0.00003350944,0.0014216953],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978384,0.0001567278,0.0004648005,0.0007699002,0.00024150337,0.00052869885],"domain_scores_gemma":[0.9979924,0.00038926935,0.0002217261,0.0008474328,0.00034128194,0.00020789319],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00050266087,0.00032106353,0.00042179765,0.0002297202,0.00081560574,0.00036377975,0.00071055564,0.00014616018,0.000007040734],"category_scores_gemma":[0.000033711633,0.00030202675,0.00014721048,0.00035631907,0.0001228331,0.0006818535,0.00002132596,0.0001952816,0.000085077045],"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":[0.000756834,0.002645433,0.00009190553,0.0004199943,0.0037309544,0.00007813601,0.012183654,0.0963578,0.09206525,0.22401193,0.002137654,0.56552047],"study_design_scores_gemma":[0.003292423,0.002285372,0.00024153695,0.00033216272,0.0001464225,0.00015534698,0.001913673,0.9521094,0.0107841045,0.0017622289,0.025918985,0.0010583466],"about_ca_topic_score_codex":0.00044704002,"about_ca_topic_score_gemma":0.000030190256,"teacher_disagreement_score":0.91636926,"about_ca_system_score_codex":0.0002530498,"about_ca_system_score_gemma":0.00014648928,"threshold_uncertainty_score":0.9999432},"labels":[],"label_agreement":null},{"id":"W2963165156","doi":"10.1145/3337797","title":"Designing Robot Teams for Distributed Construction, Repair, and Maintenance","year":2019,"lang":"en","type":"article","venue":"ACM Transactions on Autonomous and Adaptive Systems","topic":"Modular Robots and Swarm Intelligence","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Computer science; Robot; Parameterized complexity; Robotics; Distributed computing; Artificial intelligence; Human–computer interaction; Algorithm","score_opus":0.013323406055070281,"score_gpt":0.20803126197707483,"score_spread":0.19470785592200454,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2963165156","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009688306,0.0005302466,0.9878904,0.000035608202,0.0005978461,0.00063500664,0.000109422086,0.00027716334,0.00023599852],"genre_scores_gemma":[0.9798635,0.00015261976,0.019293489,0.000013241853,0.000031830696,0.000101060614,0.0000071607174,0.000029598767,0.00050746184],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99915975,0.00002103377,0.00024332528,0.00027834144,0.000070883805,0.00022667581],"domain_scores_gemma":[0.99946076,0.000109393135,0.00003859248,0.0002485675,0.000060232902,0.000082454746],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013112131,0.00017801985,0.00024389301,0.0000623714,0.00015188236,0.000055340464,0.00007664336,0.00008527255,0.000014893828],"category_scores_gemma":[0.000008799227,0.00016262903,0.000062515515,0.00008016564,0.000058367837,0.0001178963,0.0000030941223,0.00011822681,0.0000078787725],"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":[0.00010692453,0.000059905342,0.00047401397,0.00050678634,0.0004515878,0.0000061454284,0.0006445792,0.88692766,0.005714359,0.013885588,0.00031631094,0.090906166],"study_design_scores_gemma":[0.0016606889,0.00088336994,0.0007985291,0.0006177211,0.00013710256,0.00030839845,0.0052832384,0.9525026,0.008650669,0.0012290721,0.026804281,0.0011243114],"about_ca_topic_score_codex":0.00006482277,"about_ca_topic_score_gemma":0.000011652239,"teacher_disagreement_score":0.9701752,"about_ca_system_score_codex":0.000072681934,"about_ca_system_score_gemma":0.0000178974,"threshold_uncertainty_score":0.66318196},"labels":[],"label_agreement":null},{"id":"W3195006351","doi":"10.1145/3465630","title":"Optimizing the Performance of Containerized Cloud Software Systems Using Adaptive PID Controllers","year":2020,"lang":"en","type":"article","venue":"ACM Transactions on Autonomous and Adaptive Systems","topic":"Cloud Computing and Resource Management","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":"York University; University of Alberta","funders":"Google","keywords":"Computer science; Scalability; Provisioning; PID controller; Controller (irrigation); Cloud computing; Software; Distributed computing; Control engineering; Operating system","score_opus":0.03278573986343063,"score_gpt":0.22170758234983204,"score_spread":0.18892184248640143,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3195006351","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15923066,0.00090627256,0.8375884,0.00049656566,0.0006756128,0.000767555,0.000014113809,0.00018411434,0.00013668158],"genre_scores_gemma":[0.99262017,0.00001745464,0.006876814,0.0001573286,0.000129073,0.000040127055,3.8797478e-7,0.000020204341,0.00013844723],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981426,0.00024271912,0.00050610874,0.0004814398,0.00030614465,0.00032100195],"domain_scores_gemma":[0.99853206,0.0003349459,0.0003201501,0.00055522245,0.00011957058,0.00013805467],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038741366,0.00027151156,0.0005111522,0.0000903027,0.0005380927,0.0001611572,0.0007588425,0.000073166484,0.0000017341976],"category_scores_gemma":[0.000017835544,0.00019388834,0.0001403413,0.00034357136,0.00012432638,0.000053326476,0.000063234016,0.00026940976,0.0000046531427],"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":[0.00014323983,0.000042377058,0.000014238558,0.00007976306,0.00022918553,0.0000065291883,0.0028674414,0.9883787,0.00024463912,0.0016964452,0.00001433162,0.006283094],"study_design_scores_gemma":[0.0010616787,0.00079627824,0.00002866233,0.00020675035,0.000056981244,0.000023131615,0.0030651647,0.993499,0.00012113351,0.0000056541276,0.00090810104,0.0002274787],"about_ca_topic_score_codex":0.00038138905,"about_ca_topic_score_gemma":0.000002291041,"teacher_disagreement_score":0.8333895,"about_ca_system_score_codex":0.00009240008,"about_ca_system_score_gemma":0.00007251382,"threshold_uncertainty_score":0.7906537},"labels":[],"label_agreement":null},{"id":"W4205866692","doi":"10.1145/3487918","title":"Behavioural Plasticity Can Help Evolving Agents in Dynamic Environments but at the Cost of Volatility","year":2020,"lang":"en","type":"article","venue":"ACM Transactions on Autonomous and Adaptive Systems","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Norges Forskningsråd; Universitetet i Oslo; Aston University","keywords":"Computer science; Process (computing); Task (project management); Neuromodulation; Artificial intelligence; Human–computer interaction; Neuroscience; Psychology; Engineering","score_opus":0.06372176393739751,"score_gpt":0.25309000645584667,"score_spread":0.18936824251844916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205866692","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98190355,0.000024245475,0.01606788,0.0005830093,0.00024315312,0.00066368654,0.00042277394,0.000022853723,0.00006886239],"genre_scores_gemma":[0.99921006,0.000025299541,0.000015218168,0.00015672205,0.000008674902,0.00004451027,0.0000037293257,0.000013984915,0.0005218268],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99873096,0.00015850557,0.0003066862,0.0003935311,0.0002095494,0.00020074488],"domain_scores_gemma":[0.99932617,0.00024828786,0.00013040993,0.00019119745,0.000010430128,0.000093505136],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008706234,0.0001611,0.0002094492,0.000046978763,0.00025175742,0.000031337917,0.00017738284,0.00005712,0.0000411118],"category_scores_gemma":[0.000056850236,0.00012415346,0.00006167422,0.00014586268,0.00014455114,0.000102554426,0.000022135348,0.00022903139,0.000007525288],"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":[0.0012494075,0.001225783,0.034337807,0.00024815396,0.00011237196,0.000101880396,0.0044140653,0.10032072,0.8222449,0.0004542072,0.000074656244,0.035216074],"study_design_scores_gemma":[0.0009812044,0.00057268736,0.124274895,0.00007258738,0.000047023994,0.00002550304,0.00088884163,0.8570075,0.015536207,0.0000316,0.00027222163,0.00028974647],"about_ca_topic_score_codex":0.0006636561,"about_ca_topic_score_gemma":0.0006110795,"teacher_disagreement_score":0.8067087,"about_ca_system_score_codex":0.00021677303,"about_ca_system_score_gemma":0.000022604856,"threshold_uncertainty_score":0.5062831},"labels":[],"label_agreement":null},{"id":"W4291972664","doi":"10.1145/3555315","title":"Formally Verified Scalable Look Ahead Planning For Cloud Resource Management","year":2022,"lang":"en","type":"article","venue":"ACM Transactions on Autonomous and Adaptive Systems","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Computer science; Cloud computing; Scalability; Distributed computing; Liveness; Service-level agreement; Service level; Elasticity (physics); Computation; Flexibility (engineering); Operating system","score_opus":0.024439146602317975,"score_gpt":0.23488187692081544,"score_spread":0.21044273031849747,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291972664","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011926855,0.00040667225,0.9783248,0.00062357396,0.00091691205,0.0010471952,0.000023981116,0.00034057305,0.0063894386],"genre_scores_gemma":[0.9725016,0.0000035701023,0.014380738,0.00034071543,0.00009756681,0.0005379522,0.0000038091018,0.000028221148,0.0121058645],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982362,0.00011591134,0.00032964855,0.00058574317,0.00031322503,0.00041931702],"domain_scores_gemma":[0.9988887,0.0001507662,0.0001285053,0.000696881,0.000029532821,0.000105667146],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0005845495,0.00021572769,0.00024786955,0.00021652169,0.001441013,0.00019145464,0.0008238522,0.000038477214,0.000007434458],"category_scores_gemma":[0.0000025751156,0.00021329107,0.000116495445,0.00028515197,0.00003551201,0.000033047887,0.00014603217,0.00023054465,0.0000072713037],"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":[0.00010909036,0.00019972105,0.000006845912,0.0001073909,0.00021582843,0.00003130384,0.0016738828,0.8618871,0.000017621265,0.032907974,0.0014149213,0.101428315],"study_design_scores_gemma":[0.0014163298,0.0010198813,0.000107050684,0.000102475846,0.00005358012,0.000057042562,0.0058793155,0.6098661,0.00004976217,0.00058263936,0.38042036,0.00044549804],"about_ca_topic_score_codex":0.000061736224,"about_ca_topic_score_gemma":0.0000015301503,"teacher_disagreement_score":0.9639441,"about_ca_system_score_codex":0.00017949542,"about_ca_system_score_gemma":0.000029255496,"threshold_uncertainty_score":0.999859},"labels":[],"label_agreement":null},{"id":"W4360851769","doi":"10.1145/3589227","title":"Self-Adaptation in Industry: A Survey","year":2023,"lang":"en","type":"article","venue":"ACM Transactions on Autonomous and Adaptive Systems","topic":"Advanced Software Engineering Methodologies","field":"Computer Science","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Adaptation (eye); Computer science; Variety (cybernetics); Cloud computing; Scale (ratio); Process management; Control (management); Software; Risk analysis (engineering); Knowledge management; Engineering management; Management science; Artificial intelligence","score_opus":0.08633609227381578,"score_gpt":0.29379210569625125,"score_spread":0.20745601342243547,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4360851769","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009011275,0.00010033427,0.9890401,0.0001096181,0.00052002695,0.00023820241,0.000014805565,0.0009203569,0.000045309218],"genre_scores_gemma":[0.8592178,0.00006331619,0.14029574,0.000016528878,0.000014943862,0.0000931094,0.0000025213985,0.000014813825,0.00028117816],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987794,0.0002755355,0.00021715752,0.0003512875,0.00013252808,0.00024407025],"domain_scores_gemma":[0.9983684,0.0010716056,0.000053705822,0.00040106103,0.00004363075,0.00006159181],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008144231,0.00014428988,0.00020177802,0.00031083627,0.000099043355,0.000070140064,0.00032885006,0.00014704079,8.8622306e-7],"category_scores_gemma":[0.00013307207,0.00014180942,0.00002637255,0.0008984224,0.000021900285,0.0003081949,0.000017364491,0.0003458679,0.000023420229],"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":[0.000011385817,0.00004766493,0.00020791792,0.000029211527,0.000033243952,0.000022781644,0.0018706159,0.9174533,0.00003745432,0.0033432136,0.000013735871,0.0769295],"study_design_scores_gemma":[0.0009416346,0.00045960414,0.06891583,0.00017486511,0.000010425295,0.00003950026,0.0016252986,0.92093813,0.00025164802,0.0041900626,0.0017520363,0.0007009596],"about_ca_topic_score_codex":0.00034925106,"about_ca_topic_score_gemma":0.00009365727,"teacher_disagreement_score":0.85020655,"about_ca_system_score_codex":0.00010497149,"about_ca_system_score_gemma":0.00006405157,"threshold_uncertainty_score":0.57828206},"labels":[],"label_agreement":null},{"id":"W4385954281","doi":"10.1145/3616496","title":"Using Genetic Programming to Build Self-Adaptivity into Software-Defined Networks","year":2023,"lang":"en","type":"article","venue":"ACM Transactions on Autonomous and Adaptive Systems","topic":"Software-Defined Networks and 5G","field":"Computer Science","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":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Computer science; Adaptation (eye); Distributed computing; Reuse; Genetic programming; Software; Software-defined networking; Artificial intelligence","score_opus":0.03233588069820734,"score_gpt":0.26053547425710794,"score_spread":0.2281995935589006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385954281","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014923724,0.0004814158,0.980356,0.0002653527,0.0011695118,0.0008684516,0.0000083332,0.0018997034,0.000027549862],"genre_scores_gemma":[0.6658474,0.000066197856,0.33331856,0.00014435046,0.0001664328,0.00020968309,0.0000023733528,0.000053041513,0.00019197802],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99731493,0.00016685277,0.0004802389,0.0009399532,0.0003434738,0.0007545799],"domain_scores_gemma":[0.99793047,0.00045865937,0.00014247633,0.0009840658,0.00012348482,0.00036084448],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00045044956,0.00040840224,0.00046887746,0.000379682,0.0007953918,0.00043531856,0.0007396062,0.00019358478,0.000004942485],"category_scores_gemma":[0.0000335603,0.00039333748,0.00014537538,0.0015966976,0.00005460917,0.0003303045,0.00009487284,0.00034388507,0.000058507758],"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":[0.000026995887,0.00013156954,0.0003037003,0.00004194103,0.00013614114,0.000048779828,0.0009755832,0.593246,0.00004313664,0.0014991456,0.00009572362,0.40345132],"study_design_scores_gemma":[0.00061101356,0.0007294219,0.0028101539,0.00023435768,0.00006855912,0.00010001327,0.00023361477,0.9797343,0.000035415414,0.0006652823,0.0139563475,0.0008214906],"about_ca_topic_score_codex":0.0009012557,"about_ca_topic_score_gemma":0.000081923885,"teacher_disagreement_score":0.65092367,"about_ca_system_score_codex":0.00020868717,"about_ca_system_score_gemma":0.00013415534,"threshold_uncertainty_score":0.9998518},"labels":[],"label_agreement":null},{"id":"W4402079547","doi":"10.1145/3690768","title":"Secure Collaborative Learning for Self-Adaptive Systems on Connected Autonomous Vehicles","year":2024,"lang":"en","type":"article","venue":"ACM Transactions on Autonomous and Adaptive Systems","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"National Natural Science Foundation of China","keywords":"Computer science; Autonomous system (mathematics); Distributed computing; Computer network; Computer security; Human–computer interaction; Artificial intelligence","score_opus":0.011628837904807123,"score_gpt":0.2178392025045372,"score_spread":0.20621036459973008,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402079547","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08502771,0.026263367,0.858142,0.00034978325,0.007889062,0.0076937075,0.0013582025,0.008372042,0.004904084],"genre_scores_gemma":[0.99591994,0.00031103654,0.0010120681,0.000022728944,0.00035521918,0.000976647,0.000040315947,0.0001992762,0.0011627842],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99746406,0.00022161746,0.00058378425,0.00076543505,0.00028731278,0.00067780365],"domain_scores_gemma":[0.9979335,0.0010837027,0.00009605789,0.0004281612,0.00020746139,0.0002510851],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003678279,0.00062542886,0.0007044253,0.00035029862,0.00049673254,0.0004579388,0.0002455637,0.00036641848,0.000013285087],"category_scores_gemma":[0.000024892146,0.0005979929,0.00018960622,0.0005772612,0.000077227625,0.0002942832,0.000009131953,0.00084889133,0.0000768949],"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":[0.00009765374,0.00006736264,0.0000024786848,0.0003570623,0.0009921773,0.000047836576,0.0017522437,0.98167217,0.00035399682,0.0075754058,0.00048618446,0.0065954253],"study_design_scores_gemma":[0.0007313947,0.001135676,0.00003429533,0.0007597731,0.00019598867,0.00007554514,0.0031624953,0.9332975,0.00037594794,0.00007591809,0.059503224,0.00065222033],"about_ca_topic_score_codex":0.0001009145,"about_ca_topic_score_gemma":0.000050430426,"teacher_disagreement_score":0.9108922,"about_ca_system_score_codex":0.00068626116,"about_ca_system_score_gemma":0.00018770013,"threshold_uncertainty_score":0.99964714},"labels":[],"label_agreement":null},{"id":"W4407102832","doi":"10.1145/3716139","title":"DSADA: Detecting Spoofing Attacks in Driver Assistance Systems Using Objects’ Spatial Shapes","year":2025,"lang":"en","type":"article","venue":"ACM Transactions on Autonomous and Adaptive Systems","topic":"Advanced Malware Detection Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Spoofing attack; Computer security; Computer vision; Artificial intelligence","score_opus":0.023480407894015905,"score_gpt":0.2695694232527809,"score_spread":0.24608901535876498,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407102832","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011688238,0.0007168663,0.9848197,0.000077498895,0.0010012223,0.0006556655,0.00001075552,0.0005354519,0.00049459876],"genre_scores_gemma":[0.9756776,0.000052626692,0.0236548,0.00004729535,0.0000433517,0.00013732858,3.3403256e-7,0.000021731677,0.00036493412],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978567,0.00019665614,0.00056616555,0.00075228995,0.00022534546,0.00040289052],"domain_scores_gemma":[0.9987217,0.0003070032,0.00021895024,0.0005469326,0.00012570231,0.00007969583],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003891064,0.0003101935,0.0004436133,0.00057911,0.00046948122,0.00028244418,0.0005112566,0.00016919956,0.000001964917],"category_scores_gemma":[0.00003608214,0.00032215714,0.00008629469,0.0006640275,0.000070975206,0.0006370905,0.000043825064,0.0004212346,0.0000030273197],"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":[0.00016145325,0.00030529726,0.00041473238,0.00049028517,0.0002635692,0.00017395521,0.0019609947,0.3229579,0.017816404,0.010835775,0.000015665122,0.64460397],"study_design_scores_gemma":[0.00092079764,0.00031495653,0.001893523,0.0015857868,0.00003900291,0.0001169956,0.001962374,0.97735715,0.012124403,0.00084876234,0.0020534396,0.00078282924],"about_ca_topic_score_codex":0.0025356635,"about_ca_topic_score_gemma":0.0005300736,"teacher_disagreement_score":0.9639894,"about_ca_system_score_codex":0.00058364874,"about_ca_system_score_gemma":0.00014965056,"threshold_uncertainty_score":0.99992305},"labels":[],"label_agreement":null},{"id":"W4409460571","doi":"10.1145/3720548","title":"The Comp-TSSs Scheme for Anomaly Detection in AI-Powered Autonomous Driving","year":2025,"lang":"en","type":"article","venue":"ACM Transactions on Autonomous and Adaptive Systems","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Computer science; Scheme (mathematics); Anomaly detection; Real-time computing; Artificial intelligence; Distributed computing","score_opus":0.013584605791569995,"score_gpt":0.2610005327847511,"score_spread":0.2474159269931811,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409460571","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0037620834,0.00028039524,0.9916639,0.0016752385,0.0004531506,0.0011593138,0.000011656998,0.00034507684,0.0006491993],"genre_scores_gemma":[0.98579645,0.00006039898,0.011295966,0.00012406682,0.000027765192,0.0011979451,0.00000100631,0.000014160731,0.0014822131],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99850714,0.0000797163,0.0004500779,0.0005288444,0.00011129142,0.00032292292],"domain_scores_gemma":[0.9985843,0.00037089305,0.00012883986,0.00072861946,0.000119300734,0.000068059046],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039612563,0.0002109049,0.00024585205,0.00026276708,0.0010386199,0.0003379542,0.0006098044,0.0001286657,0.0000015153096],"category_scores_gemma":[0.000018879404,0.00017867851,0.00011524519,0.0005754507,0.00009108429,0.00027841673,0.000030100799,0.00027893507,0.0000054927673],"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":[0.000090592104,0.00032671486,0.000197223,0.000068032794,0.00017097792,0.0000030562908,0.000425165,0.0026826973,0.005057487,0.25352553,0.00016568419,0.73728687],"study_design_scores_gemma":[0.0014382016,0.00076557556,0.005147109,0.00021491137,0.000040053834,0.000043123997,0.000846721,0.8428775,0.014942442,0.012871247,0.12012487,0.0006882426],"about_ca_topic_score_codex":0.00032829063,"about_ca_topic_score_gemma":0.00039019505,"teacher_disagreement_score":0.9820344,"about_ca_system_score_codex":0.00023115908,"about_ca_system_score_gemma":0.00012104425,"threshold_uncertainty_score":0.79883295},"labels":[],"label_agreement":null},{"id":"W4412928622","doi":"10.1145/3748511","title":"Factorization-based Attribute Residual Summary for Adaptive Edge-based Autonomous System Security","year":2025,"lang":"en","type":"article","venue":"ACM Transactions on Autonomous and Adaptive Systems","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Francis Xavier University","funders":"Natural Science Foundation of Hunan Province","keywords":"Computer science; Residual; Enhanced Data Rates for GSM Evolution; Factorization; Theoretical computer science; Data mining; Computer security; Distributed computing; Artificial intelligence; Algorithm","score_opus":0.020078939074648305,"score_gpt":0.2389547624716618,"score_spread":0.2188758233970135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412928622","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0011511806,0.00053275796,0.9918988,0.0007463215,0.0025264078,0.001612645,0.00033368872,0.00069339137,0.00050481077],"genre_scores_gemma":[0.9920633,0.000014690446,0.0063858153,0.0002397656,0.00015282416,0.0005445688,0.000031683165,0.000028069744,0.00053929095],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.997244,0.0003182873,0.00066688034,0.00094947405,0.0003114419,0.00050993526],"domain_scores_gemma":[0.99733794,0.00088021014,0.00026894914,0.0009344246,0.00039333862,0.00018512813],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00055525283,0.00043467898,0.00055813853,0.0004870725,0.0011174701,0.0003520638,0.0007161136,0.00031428036,0.000005948291],"category_scores_gemma":[0.000034690358,0.0004297732,0.0002215055,0.0007569526,0.000118186916,0.0004415577,0.000028566545,0.00039081098,0.000011557392],"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":[0.002088539,0.0018314152,0.00020844299,0.001954656,0.0011998573,0.000053264328,0.002020403,0.41717532,0.00077729946,0.43584844,0.0045656133,0.13227676],"study_design_scores_gemma":[0.0021976735,0.0012114104,0.00018612892,0.0006892929,0.00010801694,0.000009194371,0.00050189777,0.96795654,0.0043024807,0.001064624,0.021146154,0.0006265769],"about_ca_topic_score_codex":0.00040702804,"about_ca_topic_score_gemma":0.00012117226,"teacher_disagreement_score":0.99091214,"about_ca_system_score_codex":0.0005931688,"about_ca_system_score_gemma":0.00064914726,"threshold_uncertainty_score":0.9998154},"labels":[],"label_agreement":null},{"id":"W4413418616","doi":"10.1145/3761817","title":"Introduction to the Special Issue on Intelligent Applications of Web 3.0 and Metaverse for Connected Autonomous Vehicles","year":2025,"lang":"en","type":"article","venue":"ACM Transactions on Autonomous and Adaptive Systems","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Natural Science Foundation of Shandong Province; National Natural Science Foundation of China","keywords":"Computer science; Metaverse; Scalability; Human–computer interaction; Distributed computing; World Wide Web; Virtual reality","score_opus":0.011884696514508512,"score_gpt":0.24181575763157054,"score_spread":0.22993106111706202,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413418616","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003014148,0.00018618924,0.97890663,0.015117873,0.00040203266,0.0018079849,0.00007277301,0.0001299929,0.00036237683],"genre_scores_gemma":[0.9883309,0.0000899635,0.008165726,0.00023252821,0.0005244671,0.0014530199,0.0000034419816,0.000009636996,0.0011903176],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989324,0.000054963788,0.0003024866,0.00047044412,0.000082881874,0.00015680619],"domain_scores_gemma":[0.99863786,0.0003295609,0.00009739722,0.00074958097,0.00013456849,0.000051032825],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027805706,0.0001498459,0.00023437348,0.00026299764,0.00043329006,0.00006153411,0.0004416621,0.000104047685,0.000007673771],"category_scores_gemma":[0.000027129572,0.0001197851,0.000055976838,0.0004922493,0.00012624991,0.00006082781,0.00002835232,0.00016490594,0.00001171397],"study_design_candidate":"not_applicable","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":[0.000050866445,0.00022519038,0.000003888588,0.000039607014,0.00013792413,1.9714645e-7,0.0006402669,0.0028896802,0.00037673736,0.5468469,0.0020532508,0.44673544],"study_design_scores_gemma":[0.00042720404,0.00049044105,0.00015340307,0.0000354011,0.00006983265,0.0000095789055,0.0012046689,0.04658102,0.0069522136,0.005643683,0.9382298,0.00020274309],"about_ca_topic_score_codex":0.000068628746,"about_ca_topic_score_gemma":0.00007029935,"teacher_disagreement_score":0.98531675,"about_ca_system_score_codex":0.00006489559,"about_ca_system_score_gemma":0.00007057609,"threshold_uncertainty_score":0.48846948},"labels":[],"label_agreement":null},{"id":"W4413893978","doi":"10.1145/3759919","title":"A Resilient Control Strategy for Train-to-Train Communications under Jamming Attacks","year":2025,"lang":"en","type":"article","venue":"ACM Transactions on Autonomous and Adaptive Systems","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Jamming; Computer network; Computer security; Control (management); Distributed computing; Telecommunications; Artificial intelligence","score_opus":0.03043607004419819,"score_gpt":0.2776811714554839,"score_spread":0.2472451014112857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413893978","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009216686,0.0012059108,0.98405254,0.0010155883,0.0005990732,0.0012844317,0.0002358904,0.00023374613,0.0021561172],"genre_scores_gemma":[0.9971562,0.000101726975,0.0012870703,0.00016078434,0.000037664206,0.00044237002,0.000005628439,0.000021971076,0.00078657793],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989728,0.000064100575,0.00032123105,0.0002614647,0.00009121764,0.00028922936],"domain_scores_gemma":[0.998737,0.00045189649,0.000029295974,0.0006027704,0.00006465679,0.000114407834],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002107545,0.00019851403,0.00027583758,0.00019466686,0.00042003207,0.0000853055,0.00034196745,0.00011839116,0.000005568967],"category_scores_gemma":[0.000013840413,0.00019329824,0.000092245944,0.00022708165,0.00009659812,0.00008838056,0.000006510241,0.0002361264,0.000008678044],"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":[0.00008071646,0.000134845,0.000007791693,0.00016780385,0.00030500634,0.0000019304011,0.0014183229,0.9336724,0.0016657776,0.025150057,0.0003810174,0.037014294],"study_design_scores_gemma":[0.0038867663,0.00096595817,0.0018873098,0.0008281631,0.000269789,0.000034948105,0.01702981,0.8827393,0.0011696303,0.001710912,0.08845244,0.0010249735],"about_ca_topic_score_codex":0.00009618853,"about_ca_topic_score_gemma":0.000306009,"teacher_disagreement_score":0.98793954,"about_ca_system_score_codex":0.00013002804,"about_ca_system_score_gemma":0.00006900848,"threshold_uncertainty_score":0.78824735},"labels":[],"label_agreement":null},{"id":"W4415763474","doi":"10.1145/3774329","title":"Introduction to the Special Issue on Intelligent Applications of Web 3.0 and Metaverse for Connected Autonomous Vehicles: Part 2","year":2025,"lang":"en","type":"article","venue":"ACM Transactions on Autonomous and Adaptive Systems","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Metaverse; Scalability; Synchronization (alternating current); Convergence (economics); Ubiquitous computing; Enhanced Data Rates for GSM Evolution","score_opus":0.010313356550029648,"score_gpt":0.22247281495131643,"score_spread":0.21215945840128678,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415763474","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012938194,0.0010242835,0.9722526,0.003242068,0.0028531055,0.00490257,0.0004169329,0.0003551559,0.0020150982],"genre_scores_gemma":[0.99253047,0.00025743456,0.0010424327,0.000104752035,0.0024784424,0.0011512544,0.000018839724,0.00004151599,0.0023748754],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989407,0.00005371539,0.00036038898,0.00033033767,0.00009771051,0.00021711644],"domain_scores_gemma":[0.9991032,0.0002280245,0.000054402524,0.00044698137,0.00008609505,0.00008130669],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023491308,0.00020623734,0.00030546015,0.00018626294,0.0002188977,0.00005134844,0.00015458616,0.00009664673,0.000035252848],"category_scores_gemma":[0.000016653541,0.0001746959,0.0000761488,0.00030233676,0.00006678101,0.000057053116,0.000007564635,0.00018767273,0.000024563857],"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":[0.00007857888,0.00006992046,0.0000016322763,0.00009715843,0.00030243193,4.1144543e-7,0.0003756395,0.87858313,0.0003262055,0.0046267244,0.0064581004,0.10908009],"study_design_scores_gemma":[0.00034795195,0.00022349413,0.000036923026,0.0000729456,0.00012856766,0.0000062578947,0.0009955255,0.17065302,0.001940838,0.00009456222,0.8253299,0.00017002893],"about_ca_topic_score_codex":0.000039904822,"about_ca_topic_score_gemma":0.00012331501,"teacher_disagreement_score":0.97959226,"about_ca_system_score_codex":0.00013822914,"about_ca_system_score_gemma":0.00004295844,"threshold_uncertainty_score":0.7123892},"labels":[],"label_agreement":null}]}