{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":14,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":14,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"7547706352c2","filters":{"venue":"2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)"}},"results":[{"id":"W4234384890","doi":"10.1109/asonam.2016.7752349","title":"Big data mining of social networks for friend recommendation","year":2016,"lang":"en","type":"article","venue":"2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":31,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Big data; Computer science; Data science; World Wide Web; Data mining","authors":[{"name":"Fan Jiang","is_ca":true},{"name":"Carson K. Leung","is_ca":true},{"name":"Adam G.M. Pazdor","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07381743422395404,"gpt":0.3655441414783744,"spread":0.2917267072544203,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007397221,0.0002948809,0.0006805922,0.0002876575,0.0002763554,0.00009700318,0.0008468463,0.0001237666,0.0005412902],"category_scores_gemma":[0.0000556025,0.0002478087,0.0002663941,0.0006050244,0.0001890897,0.0004238633,0.0002987641,0.0001613058,0.000001089496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006819789,"about_ca_system_score_gemma":0.00005478286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005568747,"about_ca_topic_score_gemma":0.000362929,"domain_scores_codex":[0.9977414,0.0001317188,0.0007560218,0.0006996953,0.0002756271,0.0003955382],"domain_scores_gemma":[0.9978586,0.0006261647,0.0007821989,0.0003593359,0.0003089716,0.00006474385],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001807011,0.00013405,0.03867169,0.000006001836,0.001037926,5.168727e-7,0.0003393268,0.001006925,0.00005243537,0.02600562,0.004850612,0.9277142],"study_design_scores_gemma":[0.003245842,0.0002347488,0.01281769,0.0005016056,0.001442697,5.617919e-7,0.002934878,0.8859996,0.00009484383,0.01774655,0.07356383,0.001417187],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03660452,0.0002015474,0.9520513,0.001319804,0.000755264,0.0002784666,0.0004552518,0.00004717504,0.008286688],"genre_scores_gemma":[0.9915318,0.0005005352,0.004120639,0.0000559799,0.002473611,0.00007096485,0.0008032953,0.00002532688,0.0004178761],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9549273,"threshold_uncertainty_score":0.9999974,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4233132785","doi":"10.1109/asonam.2016.7752350","title":"Mining ‘following’ patterns from big sparse social networks","year":2016,"lang":"en","type":"article","venue":"2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Big data; Data science; Data mining","authors":[{"name":"Carson K. Leung","is_ca":true},{"name":"Edson M. Dela Cruz","is_ca":true},{"name":"Trevor L. Cook","is_ca":true},{"name":"Fan Jiang","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03686138174885396,"gpt":0.3119891203153209,"spread":0.275127738566467,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004778266,0.0003686291,0.0005893084,0.0002674232,0.0004601506,0.000431632,0.001612427,0.0002113218,0.0001204106],"category_scores_gemma":[0.00007962351,0.0003022637,0.0002992649,0.0007181462,0.0001528138,0.00078148,0.0004332788,0.0002523157,0.00001329611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001219123,"about_ca_system_score_gemma":0.00007031232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001392645,"about_ca_topic_score_gemma":0.0005502492,"domain_scores_codex":[0.9971117,0.0001317703,0.0006333863,0.001020904,0.0005487922,0.000553405],"domain_scores_gemma":[0.9982616,0.0005228535,0.0004556896,0.0004621306,0.0001595254,0.0001382596],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003202649,0.0001189489,0.02616001,0.000002307556,0.0005340946,0.00002501765,0.000966432,0.0008345952,0.00005063126,0.01710947,0.001324152,0.9528423],"study_design_scores_gemma":[0.00237464,0.0001345333,0.07788432,0.0005982182,0.0003827594,0.000003208337,0.001225751,0.890996,0.00003629357,0.006269609,0.01857533,0.001519268],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1172473,0.0004058405,0.8752885,0.002233461,0.001681363,0.0001308585,0.0001543289,0.0001121984,0.002746156],"genre_scores_gemma":[0.9840394,0.001632597,0.01136995,0.0003753964,0.001770583,0.00007816638,0.0001310222,0.00002375385,0.0005791003],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.951323,"threshold_uncertainty_score":0.999943,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4234995558","doi":"10.1109/asonam.2016.7752337","title":"Retweet prediction considering user's difference as an author and retweeter","year":2016,"lang":"en","type":"article","venue":"2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":11,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Field (mathematics); Social network (sociolinguistics); Social network analysis; Data science; Significant difference; Social influence; Social media; World Wide Web; Psychology; Mathematics; Statistics","authors":[{"name":"Syeda Nadia Firdaus","is_ca":true},{"name":"Chen Ding","is_ca":true},{"name":"Alireza Sadeghian","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03138906469607681,"gpt":0.3349104635776121,"spread":0.3035213988815353,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004077889,0.0003106565,0.0005400142,0.0002635825,0.0002538176,0.0001944059,0.0003683679,0.0001190297,0.0006275254],"category_scores_gemma":[0.00004112366,0.0002469816,0.0001568403,0.000374363,0.0002405903,0.000507268,0.0001611701,0.0002262802,0.000003340605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006638614,"about_ca_system_score_gemma":0.00003885666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001173892,"about_ca_topic_score_gemma":0.0002506117,"domain_scores_codex":[0.9978944,0.0001625036,0.00053205,0.0007130521,0.0003378385,0.0003601327],"domain_scores_gemma":[0.9987094,0.0003145887,0.0003520653,0.0002999452,0.0001869252,0.0001371205],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001449927,0.0001173561,0.6427984,0.000005342121,0.0008360993,0.000005786766,0.000607751,0.0003868659,0.0004247938,0.08155894,0.0005705075,0.2725432],"study_design_scores_gemma":[0.003916712,0.0007970813,0.4440892,0.001574152,0.001782906,0.000007319565,0.003171731,0.3250286,0.0004400564,0.1952087,0.02129484,0.002688684],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8970032,0.0002227898,0.09377445,0.0008280986,0.0003307615,0.0001860588,0.00009582481,0.00009647057,0.007462395],"genre_scores_gemma":[0.9953622,0.0007019153,0.001618162,0.00008199892,0.0008950336,0.00005382614,0.00006859953,0.00002135858,0.001196911],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3246417,"threshold_uncertainty_score":0.9999983,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4242981398","doi":"10.1109/asonam.2016.7752211","title":"Tradeoffs between density and size in extracting dense subgraphs: A unified framework","year":2016,"lang":"en","type":"article","venue":"2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)","topic":"Advanced Graph Theory Research","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Maximization; Range (aeronautics); Quadratic equation; Generalization; Theoretical computer science; Mathematical optimization; Mathematics","authors":[{"name":"Zhefeng Wang","is_ca":false},{"name":"Lingyang Chu","is_ca":true},{"name":"Jian Pei","is_ca":true},{"name":"Abdullah Al-Barakati","is_ca":false},{"name":"Enhong Chen","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0412797631814928,"gpt":0.3476045432026985,"spread":0.3063247800212057,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001095808,0.0002795746,0.0005453916,0.0003849484,0.0002284011,0.0002039235,0.0009318783,0.0002078141,0.00004524102],"category_scores_gemma":[0.000757591,0.0002281147,0.0001322212,0.001231454,0.0003227745,0.0009024314,0.0002801905,0.0004725566,0.000002643356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001089916,"about_ca_system_score_gemma":0.00005954287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003152491,"about_ca_topic_score_gemma":0.0004532421,"domain_scores_codex":[0.9972979,0.0003095592,0.0005219753,0.0008365221,0.0005052202,0.0005287645],"domain_scores_gemma":[0.9957775,0.003235752,0.0003071881,0.0003572584,0.0001792405,0.0001430598],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001944031,0.00009300419,0.4791647,0.00001001116,0.0002962687,0.00006203156,0.00144225,0.0004458562,0.0002698429,0.1973119,0.00003095153,0.3206788],"study_design_scores_gemma":[0.002541832,0.0002427788,0.5263683,0.001133798,0.0001427652,0.00001058439,0.001429021,0.06116822,0.0002245737,0.404372,0.001026791,0.001339351],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6370581,0.0005328341,0.3594589,0.001572035,0.0002691712,0.0001461869,0.00001096876,0.000047806,0.0009039366],"genre_scores_gemma":[0.9834782,0.003064362,0.01286233,0.0001164376,0.0002510429,0.00002442147,0.000003616167,0.00001375036,0.0001858805],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3465966,"threshold_uncertainty_score":0.9302248,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4253544295","doi":"10.1109/asonam.2016.7752361","title":"An experimental evaluation of giraph and GraphChi","year":2016,"lang":"en","type":"article","venue":"2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)","topic":"Graph Theory and Algorithms","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Victoria","funders":"","keywords":"PageRank; Computer science; Implementation; Computation; Graph; Parallel computing; Theoretical computer science; Computer cluster; Focus (optics); Distributed computing; Operating system; Algorithm; Programming language","authors":[{"name":"Junnan Lu","is_ca":true},{"name":"Alex Thomo","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0368483605769029,"gpt":0.350615048449353,"spread":0.3137666878724501,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009188164,0.0001595267,0.0002753451,0.0002838159,0.0001309612,0.00008651426,0.000548145,0.00007522247,0.00008220118],"category_scores_gemma":[0.00004138364,0.0001206586,0.00009543985,0.0004412831,0.0002151169,0.0007779594,0.00009078413,0.00007912237,8.034151e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003348943,"about_ca_system_score_gemma":0.00003376737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009700962,"about_ca_topic_score_gemma":0.00005130465,"domain_scores_codex":[0.9983478,0.0002230044,0.0003138774,0.0004521642,0.0004744574,0.0001886636],"domain_scores_gemma":[0.9990731,0.0001609237,0.0002425637,0.0002270595,0.0002282834,0.00006802333],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000098353,0.0002509966,0.02634204,0.000004143616,0.0003195129,0.000003606945,0.002122141,0.002011428,0.002301626,0.3400439,0.00004563406,0.6264566],"study_design_scores_gemma":[0.002546611,0.0004297389,0.04168535,0.0002659141,0.0002185793,0.000003793148,0.001724035,0.8600307,0.001350729,0.09078401,0.0002995057,0.0006611007],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.821766,0.001226239,0.1737673,0.0003291789,0.0005324939,0.0001242503,0.00001666293,0.00002909387,0.002208702],"genre_scores_gemma":[0.9960107,0.0008347029,0.0028782,0.00006048449,0.0001357259,0.00002365869,0.000006888841,0.000005479235,0.00004411917],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8580192,"threshold_uncertainty_score":0.4920315,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4237060534","doi":"10.1109/asonam.2016.7752399","title":"Stream clustering of tweets","year":2016,"lang":"en","type":"article","venue":"2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Computer science; Partition (number theory); Cluster analysis; Social media; Process (computing); Data mining; Plan (archaeology); Cluster (spacecraft); Information retrieval; Data science; Machine learning; World Wide Web","authors":[{"name":"Sophie Baillargeon","is_ca":true},{"name":"Simon Hallé","is_ca":true},{"name":"Christian Gagné","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02524956850551238,"gpt":0.3295063109840421,"spread":0.3042567424785297,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000288997,0.0002340707,0.0005433541,0.0002684735,0.0001086867,0.00005516447,0.0004699118,0.00007069072,0.0009155829],"category_scores_gemma":[0.00002021837,0.0001823984,0.0002601135,0.0004861714,0.0001618548,0.0002626963,0.0001588716,0.0001347038,0.000003207491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005498853,"about_ca_system_score_gemma":0.00003184161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001096502,"about_ca_topic_score_gemma":0.000348844,"domain_scores_codex":[0.9983514,0.00008360007,0.0005360009,0.0004346609,0.0003040857,0.0002902411],"domain_scores_gemma":[0.9987872,0.000268119,0.0004370767,0.0002499803,0.0001932926,0.00006432031],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001291314,0.0001943553,0.3702556,0.000007350962,0.001304827,0.000003182,0.0003494617,0.005277412,0.0003572015,0.04844075,0.000815746,0.5728649],"study_design_scores_gemma":[0.005593019,0.0005618637,0.143727,0.002491027,0.00213279,0.000002161655,0.003649452,0.7215996,0.001267814,0.08966132,0.02611976,0.003194148],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4057141,0.0005520836,0.5361404,0.0009200397,0.0005788508,0.0002572078,0.0001408617,0.00008535007,0.05561104],"genre_scores_gemma":[0.9960833,0.000730697,0.001801132,0.0000316433,0.000601119,0.00002860166,0.00003449004,0.00001502953,0.0006740267],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7163222,"threshold_uncertainty_score":0.9999977,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4230603371","doi":"10.1109/asonam.2016.7752356","title":"Spectral graph-based semi-supervised learning for imbalanced classes","year":2016,"lang":"en","type":"article","venue":"2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)","topic":"Imbalanced Data Classification Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Artificial intelligence; Graph; Machine learning; Semi-supervised learning; Theoretical computer science","authors":[{"name":"Qi‐Tai Zheng","is_ca":true},{"name":"David B. Skillicorn","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03140565970496059,"gpt":0.3221481992779155,"spread":0.2907425395729549,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005153536,0.00027948,0.0004538026,0.0003902746,0.0002576474,0.0002343761,0.001223264,0.0001520458,0.00006776122],"category_scores_gemma":[0.0002398042,0.0002229312,0.000216447,0.0007401966,0.0001821369,0.000801383,0.0001194223,0.0002047654,0.000004180357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000139182,"about_ca_system_score_gemma":0.00009442384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001032954,"about_ca_topic_score_gemma":0.00009989721,"domain_scores_codex":[0.997743,0.0001326073,0.0005017217,0.0007840148,0.000400589,0.0004381203],"domain_scores_gemma":[0.998149,0.0006499353,0.0004031372,0.000389481,0.0003198641,0.00008862598],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004134175,0.0003176761,0.09801552,0.00003527195,0.000661379,0.00001356079,0.0005907331,0.01237822,0.005888041,0.3124527,0.003494519,0.5657389],"study_design_scores_gemma":[0.001850536,0.0002655899,0.01906114,0.0003514063,0.0001015209,0.00000149153,0.0002096929,0.945603,0.001536734,0.01716054,0.01303033,0.000828073],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01119933,0.000166071,0.9834369,0.002549229,0.0004127182,0.0002003361,0.00003952682,0.0001782676,0.001817586],"genre_scores_gemma":[0.9610806,0.001770134,0.0357516,0.0003044002,0.0003260727,0.0001537028,0.00007387107,0.00001745291,0.0005222358],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9498812,"threshold_uncertainty_score":0.9090869,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4239270184","doi":"10.1109/asonam.2016.7752351","title":"Frequent and non-frequent pattern detection in big data streams: An experimental simulation in 1 trillion data points","year":2016,"lang":"en","type":"article","venue":"2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Big data; String (physics); Suffix; Data mining; Data stream mining; Point (geometry); Data structure; Data modeling; Database; Operating system","authors":[{"name":"Konstantinos F. Xylogiannopoulos","is_ca":true},{"name":"Reda Alhajj","is_ca":false},{"name":"Panagiotis Karampelas","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.08813651274119436,"gpt":0.365066864245738,"spread":0.2769303515045436,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006665058,0.000216251,0.0003293,0.0003716001,0.0001097816,0.0002005117,0.001430553,0.0001152835,0.00002448698],"category_scores_gemma":[0.00007479834,0.0001709306,0.00003075229,0.0004443121,0.00008223562,0.002379816,0.0008957455,0.0001610178,0.000001598524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001441434,"about_ca_system_score_gemma":0.00004386437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004994639,"about_ca_topic_score_gemma":0.004587953,"domain_scores_codex":[0.9976921,0.0001626694,0.0004976169,0.0009952297,0.0003850435,0.0002673551],"domain_scores_gemma":[0.9985378,0.0002304047,0.0002702194,0.0008120832,0.00007096887,0.00007854046],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006351371,0.0001575487,0.02678201,0.000003050841,0.00003892453,0.00001274934,0.0003787649,0.003194379,0.0003297206,0.0002977673,0.00002074706,0.9687208],"study_design_scores_gemma":[0.001046546,0.00008337958,0.02508793,0.0002184458,0.00001568368,0.000001018527,0.0002755491,0.9720211,0.0000713828,0.0006039016,0.0003362768,0.000238812],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3678079,0.0004412972,0.6303857,0.0003049803,0.0006353037,0.0001540084,0.0001362981,0.00002125596,0.0001132824],"genre_scores_gemma":[0.9950989,0.001705506,0.002445448,0.00007737835,0.0003435447,0.00001617435,0.0002869006,0.00000918962,0.00001690447],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9688267,"threshold_uncertainty_score":0.6970347,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4231557727","doi":"10.1109/asonam.2016.7752293","title":"Mining hidden constrained streams in practice: Informed search in dynamic filter spaces","year":2016,"lang":"en","type":"article","venue":"2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)","topic":"Data Stream Mining Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Data stream mining; Set (abstract data type); Filter (signal processing); Data stream; Data mining; Dynamic data; Space (punctuation); Tracking (education); Selection (genetic algorithm); Data set; Data science; Artificial intelligence; Database","authors":[{"name":"Νικόλαος Παναγιώτου","is_ca":false},{"name":"Ioannis Katakis","is_ca":false},{"name":"Dimitrios Gunopulos","is_ca":false},{"name":"Vana Kalogeraki","is_ca":false},{"name":"Elizabeth Daly","is_ca":false},{"name":"Jia Yuan Yu","is_ca":true},{"name":"Brendan O Brien","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02815580947621436,"gpt":0.3568444888092165,"spread":0.3286886793330021,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009779341,0.0003051839,0.0005253762,0.0008186508,0.00009699325,0.0003257029,0.001388563,0.0001856099,0.00008520533],"category_scores_gemma":[0.0005942878,0.0002497057,0.0001009404,0.001117414,0.0002691608,0.001939503,0.0004268468,0.0003112699,0.00000509303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003112131,"about_ca_system_score_gemma":0.0002140691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001708667,"about_ca_topic_score_gemma":0.003516443,"domain_scores_codex":[0.9972309,0.0002226454,0.0006876737,0.0007515025,0.0005637613,0.0005435249],"domain_scores_gemma":[0.9975114,0.001394132,0.0003858367,0.000414785,0.0002024017,0.00009144478],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001749093,0.0001859706,0.08618385,0.00001102928,0.0002403162,0.0001045642,0.00310308,0.0007728836,0.00009039947,0.03214453,0.0004146965,0.8765738],"study_design_scores_gemma":[0.005009661,0.0005654989,0.06364878,0.002927927,0.000156782,0.00002577768,0.009174518,0.9014732,0.0001630612,0.008473577,0.006446104,0.001935109],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6929759,0.0007663251,0.259988,0.01153696,0.001099532,0.0006889749,0.0001610912,0.0002871508,0.03249606],"genre_scores_gemma":[0.9538715,0.002848599,0.04257582,0.0001894408,0.0001056211,0.00005809421,0.00004114299,0.00001347766,0.0002962491],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9007003,"threshold_uncertainty_score":0.9999955,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4247420201","doi":"10.1109/asonam.2016.7752277","title":"Dynamics of large scale networks following a merger","year":2016,"lang":"en","type":"article","venue":"2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Brock University","funders":"","keywords":"Computer science; Server; Network dynamics; Dynamics (music); Network topology; Network structure; Distributed computing; Computer network; Physics; Mathematics","authors":[{"name":"John Clements","is_ca":true},{"name":"Babak Farzad","is_ca":true},{"name":"Henryk Fukś","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01404351847182807,"gpt":0.3189464344121986,"spread":0.3049029159403706,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005436234,0.000303355,0.0007293707,0.0002912557,0.0001848111,0.00006825344,0.0005684355,0.0001154464,0.0007242329],"category_scores_gemma":[0.00002251879,0.0002405705,0.0005294954,0.0007822835,0.0001401213,0.0003247599,0.0001889976,0.0002116022,0.000002611603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009698293,"about_ca_system_score_gemma":0.00003726242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000771129,"about_ca_topic_score_gemma":0.0009250373,"domain_scores_codex":[0.9978135,0.0001270952,0.0006729342,0.0005478549,0.0003861636,0.0004524286],"domain_scores_gemma":[0.9985762,0.0003144137,0.0005088372,0.0003138872,0.0002009745,0.00008573006],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001490714,0.0003440334,0.663669,0.000006273787,0.002427144,0.000005726627,0.0004439659,0.01042561,0.0001152363,0.1247393,0.001144955,0.1965297],"study_design_scores_gemma":[0.001483681,0.00009072543,0.0185575,0.0005169494,0.0008074493,3.544691e-7,0.001333888,0.9559817,0.00004764712,0.0175252,0.002830198,0.0008247343],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2877765,0.000532077,0.6956865,0.0008994281,0.0006087843,0.0001977515,0.0001172586,0.00006264677,0.0141191],"genre_scores_gemma":[0.9958889,0.0007241011,0.001724776,0.00005564331,0.0006591048,0.00004245069,0.0001066654,0.00002373895,0.0007746279],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.945556,"threshold_uncertainty_score":0.9810179,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4230379130","doi":"10.1109/asonam.2016.7752404","title":"Observations on the role of influence in the difficulty of social network control","year":2016,"lang":"en","type":"article","venue":"2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)","topic":"Opinion Dynamics and Social Influence","field":"Physics and Astronomy","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Carleton University","funders":"","keywords":"Controllability; Heuristics; Control (management); Selection (genetic algorithm); Computer science; Heuristic; Set (abstract data type); Controller (irrigation); Network controllability; Work (physics); Control network; Artificial intelligence; Engineering; Mathematics; Statistics","authors":[{"name":"Dave McKenney","is_ca":true},{"name":"Tony White","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01923772227335887,"gpt":0.2977599984649871,"spread":0.2785222761916283,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004948081,0.0001603553,0.0003604294,0.00007142418,0.0002067322,0.00004601271,0.000565255,0.0000707427,0.00009016338],"category_scores_gemma":[0.00005995771,0.00009278031,0.0001780925,0.0005036986,0.0002841153,0.0001712448,0.00004822903,0.0001862252,0.000001097435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003152012,"about_ca_system_score_gemma":0.00004624062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001343334,"about_ca_topic_score_gemma":0.0002292386,"domain_scores_codex":[0.9985435,0.0001851595,0.000483886,0.0002375073,0.0003214679,0.0002284601],"domain_scores_gemma":[0.9982625,0.0008540796,0.0004686638,0.0001611414,0.0002306973,0.00002286346],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00006574134,0.0001068729,0.2970049,0.000001681715,0.0001997729,2.765851e-7,0.001167833,0.01302391,0.0001033646,0.6715451,0.00009241389,0.01668806],"study_design_scores_gemma":[0.001465425,0.0001159386,0.8477199,0.0003406111,0.0001629539,1.063054e-7,0.005821929,0.05992721,0.0000220409,0.0806192,0.003389462,0.0004152491],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.987846,0.0001104456,0.003482279,0.002453501,0.0001753426,0.0001946522,0.0001499889,0.000005630072,0.005582116],"genre_scores_gemma":[0.9990104,0.0002021163,0.00006184877,0.0001855418,0.0003927774,0.0000504599,0.00001658517,0.000006642289,0.00007355962],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5909259,"threshold_uncertainty_score":0.3783471,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2549764709","doi":"10.1109/asonam.2016.7752208","title":"Streaming METIS partitioning","year":2016,"lang":"en","type":"preprint","venue":"2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)","topic":"Graph Theory and Algorithms","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"Agence Nationale de la Recherche","keywords":"Metis; Computer science; World Wide Web","authors":[{"name":"Ghizlane Echbarthi","is_ca":false},{"name":"Hamamache Kheddouci","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02902060170990805,"gpt":0.318773646068978,"spread":0.2897530443590699,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007701852,0.0004430569,0.000728464,0.0005094968,0.0003411027,0.0005423203,0.001745031,0.0003092586,0.0001597206],"category_scores_gemma":[0.0001107593,0.0003860715,0.0003684129,0.0005922905,0.000219138,0.0006361209,0.0008987398,0.0005901156,0.000009124695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001234295,"about_ca_system_score_gemma":0.0000985633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003359824,"about_ca_topic_score_gemma":0.0001558607,"domain_scores_codex":[0.9969294,0.0002581949,0.0006558752,0.001110796,0.0005573208,0.0004884232],"domain_scores_gemma":[0.997963,0.0004357423,0.0006596592,0.0005362818,0.0002822893,0.0001230625],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006668678,0.0001588283,0.01332763,0.00003196484,0.001381922,0.0000583831,0.001706469,0.01941068,0.00003339252,0.4943554,0.0004338014,0.4690349],"study_design_scores_gemma":[0.0009596056,0.0001048852,0.0106483,0.001599689,0.0003513181,0.000004524405,0.0005471521,0.6629407,0.00006226604,0.3188119,0.002570769,0.001398922],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02130013,0.001721755,0.9565886,0.001623894,0.003042358,0.0002005937,0.0000978129,0.0001334321,0.01529141],"genre_scores_gemma":[0.984193,0.004775357,0.00896888,0.0002020462,0.0009813594,0.000086306,0.00007255157,0.00001974251,0.0007007128],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9628929,"threshold_uncertainty_score":0.9998591,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4235014373","doi":"10.1109/asonam.2016.7752343","title":"Understanding alliance and opposition among violent groups","year":2016,"lang":"en","type":"article","venue":"2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Queen's University","funders":"","keywords":"Opposition (politics); Alliance; Situational ethics; Political science; Political economy; Computer science; Social psychology; Sociology; Psychology; Politics","authors":[{"name":"Qi‐Tai Zheng","is_ca":true},{"name":"David B. Skillicorn","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05710934282861807,"gpt":0.3243031271787189,"spread":0.2671937843501008,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003192677,0.0002507368,0.0004278896,0.0001822483,0.0002366361,0.0001468012,0.0002988528,0.00007944637,0.0003816057],"category_scores_gemma":[0.00001282452,0.0002019586,0.0001659174,0.0003857127,0.0002314338,0.0004318004,0.000122012,0.000162475,0.0000022642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001451745,"about_ca_system_score_gemma":0.00001990691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005864093,"about_ca_topic_score_gemma":0.0003686143,"domain_scores_codex":[0.9983672,0.00009762749,0.0004076898,0.0005319387,0.0002835214,0.0003119502],"domain_scores_gemma":[0.9990651,0.0002349017,0.0003249618,0.0001826629,0.0001043975,0.00008795637],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000112718,0.0001200273,0.5833185,0.00000594466,0.0009755099,0.000005378988,0.0003574915,0.001410594,0.0001763812,0.2638548,0.0007484233,0.1489143],"study_design_scores_gemma":[0.00388578,0.0003447995,0.2334366,0.002489053,0.001490852,0.000002341267,0.004844704,0.4425444,0.0001957496,0.3029853,0.005172489,0.002608013],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3291655,0.0004760718,0.6558084,0.0009605857,0.0003027057,0.0002012099,0.00004909215,0.00006532038,0.01297109],"genre_scores_gemma":[0.9956821,0.002376746,0.0008660125,0.00005919029,0.0006079394,0.00004396773,0.00004389346,0.00001559442,0.0003045358],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6665167,"threshold_uncertainty_score":0.8235632,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4247473813","doi":"10.1109/asonam.2016.7752406","title":"Stability of certainty and opinion in influence networks","year":2016,"lang":"en","type":"article","venue":"2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)","topic":"Opinion Dynamics and Social Influence","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Certainty; Stability (learning theory); Computer science; Mathematics; Machine learning","authors":[{"name":"Ariel Webster","is_ca":true},{"name":"Bruce M. Kapron","is_ca":true},{"name":"Valerie King","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02325247948999082,"gpt":0.32577372762214,"spread":0.3025212481321492,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004412064,0.0001996721,0.0004524717,0.0001441004,0.0001016311,0.00005462504,0.0002913206,0.000102771,0.0001568641],"category_scores_gemma":[0.00005126418,0.000162033,0.0001117615,0.0004030957,0.000298006,0.0003503808,0.0001140241,0.0001834978,6.943011e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006249034,"about_ca_system_score_gemma":0.00004836276,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003419192,"about_ca_topic_score_gemma":0.0003241592,"domain_scores_codex":[0.9984278,0.0001151655,0.0005290412,0.0004283159,0.0002216361,0.0002780166],"domain_scores_gemma":[0.9988748,0.0003607186,0.0003363598,0.0001688822,0.0001900457,0.00006922676],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008855838,0.00008854542,0.8402218,0.000007651189,0.000136233,5.511584e-7,0.0004778889,0.007592693,0.0000516073,0.07901008,0.00002089129,0.0723035],"study_design_scores_gemma":[0.002423848,0.0001602897,0.6349055,0.0008867157,0.00009528342,3.5563e-7,0.002506821,0.326512,0.00003125155,0.03025578,0.001352792,0.0008693584],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9741266,0.0003532548,0.02164187,0.0005458261,0.0004495406,0.0001497319,0.00007445401,0.00001074732,0.002648003],"genre_scores_gemma":[0.997051,0.002286889,0.0002376877,0.00003862772,0.0002769857,0.00002488615,0.00002228298,0.000008874838,0.00005274957],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3189193,"threshold_uncertainty_score":0.6607515,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}