{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":26,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":26,"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"},"query_hash":"643744d2b03e","filters":{"venue":"ACM Transactions on the Web"}},"results":[{"id":"W2011539648","doi":"10.1145/2109205.2109208","title":"Crawling Ajax-Based Web Applications through Dynamic Analysis of User Interface State Changes","year":2012,"lang":"en","type":"article","venue":"ACM Transactions on the Web","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":298,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Ajax; Computer science; JavaScript; Dynamic web page; World Wide Web; Crawling; Web application; Web page; Interactivity; Web modeling; Web-based simulation; Mashup; User interface; Web crawler; Web API; Programming language","retraction":null,"screen_n_in":null,"score":{"opus":0.0267733111547076,"gpt":0.2868866886135497,"spread":0.2601133774588421,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003937336,0.0001496207,0.0002435559,0.000357037,0.0002515456,0.0000690322,0.001311889,0.00004386784,0.0001097341],"category_scores_gemma":[0.00001987428,0.0001108456,0.0002135999,0.002408314,0.00007903489,0.0003290434,0.0000249304,0.0001781208,0.0000632305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004088906,"about_ca_system_score_gemma":0.0000502446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008710477,"about_ca_topic_score_gemma":0.0004615335,"domain_scores_codex":[0.9988495,0.000112473,0.0002338683,0.0002819528,0.0002454665,0.0002767594],"domain_scores_gemma":[0.9975486,0.0004656563,0.0001367566,0.001715859,0.00007055285,0.00006250837],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001243173,0.004959028,0.003488178,0.0002242699,0.01889284,0.000004833748,0.02166377,0.3667053,0.2402269,0.007056837,0.0009601653,0.3356936],"study_design_scores_gemma":[0.0005466907,0.0001294844,0.001532706,0.00007775737,0.00327341,0.000003599,0.0009233697,0.8850385,0.07740922,0.0007907507,0.02958413,0.0006903748],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0369109,0.0001149363,0.9573905,0.00504158,0.00007379952,0.0001157792,0.0001617709,0.0001108385,0.00007986967],"genre_scores_gemma":[0.9774219,0.0001004875,0.02177444,0.0002742144,0.00001192809,0.00008473855,0.00001480533,0.00001100036,0.0003064921],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.940511,"threshold_uncertainty_score":0.4520153,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2027402731","doi":"10.1145/1658373.1658375","title":"A distributed service-oriented architecture for business process execution","year":2010,"lang":"en","type":"article","venue":"ACM Transactions on the Web","topic":"Business Process Modeling and Analysis","field":"Business, Management and Accounting","cited_by":168,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Business Process Execution Language; Computer science; Orchestration; Scalability; Distributed computing; Software engineering; Business process; Service-oriented architecture; Web service; Process (computing); Operating system; Programming language; Work in process","retraction":null,"screen_n_in":null,"score":{"opus":0.0155499842177474,"gpt":0.2329652776669698,"spread":0.2174152934492224,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002457346,0.0002355452,0.0001962509,0.0002325392,0.0007598651,0.0002207905,0.0005615419,0.0001231441,0.0001657192],"category_scores_gemma":[0.0001992433,0.0001624408,0.0001297354,0.002043853,0.000058839,0.0004400788,0.00001149209,0.0003647135,0.00006694585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001102621,"about_ca_system_score_gemma":0.00005310054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001916507,"about_ca_topic_score_gemma":0.000831869,"domain_scores_codex":[0.9988657,0.000006487931,0.0002382709,0.0003449265,0.0002466281,0.0002979731],"domain_scores_gemma":[0.9981962,0.00009666388,0.0001489713,0.0005919122,0.0009501103,0.00001617855],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003652444,0.005380396,0.001854707,0.007317453,0.001825603,0.00001613414,0.001601421,0.4894433,0.08803555,0.03115797,0.00789155,0.3618234],"study_design_scores_gemma":[0.004646662,0.00003857162,0.002327457,0.0004948159,0.002245055,0.00002519311,0.001881255,0.6497821,0.004755088,0.1145114,0.2171698,0.002122645],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3087978,0.00001147928,0.6452728,0.0443025,0.0005518598,0.000438259,0.00008775105,0.000349331,0.0001881884],"genre_scores_gemma":[0.9961543,0.000004716011,0.0005061137,0.00224198,0.0005010266,0.0002884667,0.0001705069,0.00003925774,0.00009365053],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6873565,"threshold_uncertainty_score":0.6624142,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2147344024","doi":"10.1145/1841909.1841913","title":"Fast and Compact Web Graph Representations","year":2010,"lang":"en","type":"article","venue":"ACM Transactions on the Web","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":103,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"Fondo Nacional de Desarrollo Científico y Tecnológico","keywords":"Computer science; Theoretical computer science; Graph","retraction":null,"screen_n_in":null,"score":{"opus":0.01849260082025904,"gpt":0.2626085176005849,"spread":0.2441159167803258,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001542336,0.0001014016,0.00008252308,0.00009241621,0.0005201815,0.0001741584,0.0008729194,0.00004447282,0.0001330585],"category_scores_gemma":[0.00002172089,0.00006710457,0.00005398748,0.0002990574,0.00009782111,0.000383067,0.00002553146,0.0003479453,0.00006106264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004603372,"about_ca_system_score_gemma":0.00003776263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000599464,"about_ca_topic_score_gemma":0.0001045017,"domain_scores_codex":[0.9992465,0.00004838473,0.000119491,0.0002582855,0.0001741753,0.0001531603],"domain_scores_gemma":[0.9982662,0.0003015983,0.00003739986,0.001275716,0.0000345462,0.00008449468],"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":[0.00005976198,0.001104137,0.001076701,0.00002629601,0.000250578,0.00003036481,0.00321502,0.002450829,0.1510811,0.1172781,0.03465953,0.6887676],"study_design_scores_gemma":[0.003374208,0.0005254003,0.03857554,0.00013592,0.0001527274,0.0005135348,0.001183667,0.6594412,0.03702135,0.1249829,0.1324196,0.001673963],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05796655,0.00003563292,0.9208007,0.01725786,0.0008918822,0.0002301631,0.00007689882,0.0002448643,0.00249546],"genre_scores_gemma":[0.98037,0.00006950821,0.01881794,0.00032449,0.00003953585,0.00001356747,0.000003037144,0.000007393778,0.0003545297],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9224035,"threshold_uncertainty_score":0.4000868,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2034377483","doi":"10.1145/1961659.1961662","title":"Characterizing Web-Based Video Sharing Workloads","year":2011,"lang":"en","type":"article","venue":"ACM Transactions on the Web","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":102,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Upload; Computer science; Popularity; Set (abstract data type); Metadata; Workload; Cache; Relevance (law); World Wide Web; Video tracking; Multimedia; Information retrieval; Video processing; Artificial intelligence; Computer network","retraction":null,"screen_n_in":null,"score":{"opus":0.05162702859918673,"gpt":0.2254349424852763,"spread":0.1738079138860896,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002997124,0.0001364414,0.0001081984,0.0001193822,0.0003610626,0.0001300039,0.001570305,0.00004959291,0.0001610808],"category_scores_gemma":[0.00001816321,0.0001031606,0.000143277,0.0002969516,0.00003526975,0.0002949701,0.00002368179,0.0003031902,0.0002622309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000335058,"about_ca_system_score_gemma":0.00005225281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006421359,"about_ca_topic_score_gemma":0.00002390792,"domain_scores_codex":[0.9990351,0.0000567329,0.0001625769,0.0003166324,0.0001825393,0.0002463737],"domain_scores_gemma":[0.9984196,0.0001578435,0.00005055153,0.001273639,0.00003247845,0.00006582866],"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":[0.0003705214,0.001585205,0.002155647,0.00006652623,0.0004851259,0.0001348836,0.007914987,0.001215503,0.270949,0.02200219,0.001313706,0.6918067],"study_design_scores_gemma":[0.004131069,0.0008296184,0.01186117,0.001065339,0.0002496368,0.0001239328,0.0006355915,0.782716,0.1621988,0.01385667,0.01984367,0.002488459],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3151249,0.000069346,0.6710574,0.007318066,0.001156711,0.0002159454,0.000008233687,0.0007490336,0.004300381],"genre_scores_gemma":[0.9952066,0.00002135686,0.002248393,0.001964994,0.00003307032,0.00003802455,5.192249e-7,0.0000122739,0.0004747936],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7815005,"threshold_uncertainty_score":0.4206767,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2006522513","doi":"10.1145/2019643.2019646","title":"Characterizing Organizational Use of Web-Based Services","year":2011,"lang":"en","type":"article","venue":"ACM Transactions on the Web","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":34,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary; University of Toronto","funders":"","keywords":"Computer science; World Wide Web; Web service; Web application security; Web modeling; Web standards; Web 2.0; Web development; Social web; Database transaction; Web analytics; Service provider; Data Web; Social Semantic Web; Service (business); Data science; Social media; Database; Business","retraction":null,"screen_n_in":null,"score":{"opus":0.04367011964337222,"gpt":0.2061611586768266,"spread":0.1624910390334544,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001020051,0.00007675398,0.00007357929,0.00008102914,0.0001469098,0.00004921432,0.0007090495,0.00003020023,0.0001439331],"category_scores_gemma":[0.00001005527,0.00005688914,0.0000594609,0.0002720312,0.00002640479,0.0002960632,0.00001044037,0.0001013468,0.00005172718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000109439,"about_ca_system_score_gemma":0.00005808122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008369748,"about_ca_topic_score_gemma":0.00002770511,"domain_scores_codex":[0.9994211,0.00005373157,0.0001275211,0.0001453878,0.0001529346,0.00009928858],"domain_scores_gemma":[0.9990585,0.0001597227,0.000057621,0.000616186,0.00007879253,0.00002921785],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000303744,0.00249103,0.009099275,0.0001927288,0.0005618626,0.00003084329,0.01083794,0.002556606,0.8730019,0.04105902,0.0004524586,0.05941257],"study_design_scores_gemma":[0.002432324,0.0005724136,0.0325769,0.0004878851,0.0001903146,0.00005136026,0.0004984516,0.5660351,0.3841289,0.004678033,0.007196825,0.001151525],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6669219,0.00001382952,0.3294086,0.002653852,0.0003858152,0.0001138663,0.00003073202,0.0002021009,0.0002692875],"genre_scores_gemma":[0.9949951,0.00001132808,0.003663193,0.001186057,0.00001091889,0.000006255338,0.000001914517,0.000007170117,0.0001181308],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5634785,"threshold_uncertainty_score":0.2319872,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2034561998","doi":"10.1145/1513876.1513878","title":"A large-scale empirical study of P3P privacy policies","year":2009,"lang":"en","type":"article","venue":"ACM Transactions on the Web","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":34,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Jurisdiction; Privacy policy; Internet privacy; Privacy law; European union; Legislation; Privacy by Design; Information privacy; The Internet; Business; Information privacy law; Privacy software; Computer security; World Wide Web; Computer science; Political science; Law; International trade","retraction":null,"screen_n_in":null,"score":{"opus":0.05159795015275828,"gpt":0.3517202276428421,"spread":0.3001222774900838,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000634152,0.00009730865,0.0001392865,0.0001010812,0.0009292153,0.00004894507,0.0008931892,0.00007926446,0.0002264882],"category_scores_gemma":[0.0002864116,0.00007300952,0.00008286942,0.000537224,0.0001122228,0.0002004609,0.0000176802,0.0002483974,0.00004208649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005188178,"about_ca_system_score_gemma":0.00009001584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001119774,"about_ca_topic_score_gemma":0.003938088,"domain_scores_codex":[0.9986566,0.0003262234,0.000194506,0.0001842722,0.0003812538,0.0002571846],"domain_scores_gemma":[0.9988276,0.0001893297,0.00006193258,0.0007927559,0.0000586279,0.00006980442],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0005392592,0.01919911,0.005632568,0.00002587061,0.0002580024,0.000008972964,0.9072046,0.0001564209,0.00292076,0.006016644,0.01983882,0.03819902],"study_design_scores_gemma":[0.005157017,0.004912941,0.09287335,0.00009891953,0.0004287578,0.00001307015,0.4120965,0.0005132872,0.006381195,0.1612019,0.3151647,0.001158334],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.959867,0.00003675831,0.00534841,0.03106754,0.0001618435,0.0006580804,0.00004048672,0.0001312962,0.002688559],"genre_scores_gemma":[0.9987583,0.0001015632,0.0001549738,0.0005440846,0.00009620696,0.00002725231,0.000001255561,0.000005918409,0.0003104465],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.495108,"threshold_uncertainty_score":0.7146867,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2019560524","doi":"10.1145/2626371","title":"A Model-Based Approach for Crawling Rich Internet Applications","year":2014,"lang":"en","type":"article","venue":"ACM Transactions on the Web","topic":"Web Application Security Vulnerabilities","field":"Computer Science","cited_by":29,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"IBM (Canada); University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; International Business Machines Corporation","keywords":"Crawling; Computer science; Web crawler; The Internet; World Wide Web; Web application; Ajax","retraction":null,"screen_n_in":null,"score":{"opus":0.03621463762361464,"gpt":0.2589408671043987,"spread":0.222726229480784,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005910315,0.000149098,0.000133096,0.0001108505,0.0003549281,0.0001511658,0.001853816,0.00006876368,0.00001341413],"category_scores_gemma":[0.00004739722,0.0001180779,0.0001208506,0.0003642903,0.00008777255,0.000152473,0.0000168738,0.000213461,0.00004809381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004919887,"about_ca_system_score_gemma":0.00007988913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006956879,"about_ca_topic_score_gemma":0.000007564899,"domain_scores_codex":[0.9988229,0.00008483668,0.0002288108,0.0004361664,0.0002025253,0.0002247716],"domain_scores_gemma":[0.9970608,0.0009129412,0.00007013353,0.001771719,0.0001192197,0.00006521987],"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":[0.00003367648,0.0008501007,0.000009657303,0.0001048624,0.00006901826,3.78401e-8,0.001801688,0.3149721,0.004535568,0.6102351,0.001459391,0.06592882],"study_design_scores_gemma":[0.0002343681,0.00003460569,0.000002163267,0.000004340006,0.00001282094,9.870587e-7,0.00004153753,0.9333879,0.01134092,0.04330869,0.01149738,0.0001342805],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0008318013,0.00001110092,0.9907773,0.00594682,0.00004177668,0.0008788005,0.00001829781,0.0003092545,0.001184882],"genre_scores_gemma":[0.7248763,0.000001564775,0.2708209,0.001018263,0.00003211031,0.002889857,0.00000530897,0.00001374176,0.0003419312],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7240445,"threshold_uncertainty_score":0.4815077,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2093413654","doi":"10.1145/2109205.2109209","title":"Quality and Leniency in Online Collaborative Rating Systems","year":2012,"lang":"en","type":"article","venue":"ACM Transactions on the Web","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":26,"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":"Leverage (statistics); Computer science; Quality (philosophy); Object (grammar); Focus (optics); Information retrieval; Rating system; Data science; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.06729038015664886,"gpt":0.3237220566706275,"spread":0.2564316765139786,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008793234,0.00009262527,0.0001376523,0.00007665642,0.0001588998,0.00008732187,0.0003951477,0.0000453478,0.000004413736],"category_scores_gemma":[0.00003269728,0.00006224266,0.00002448214,0.0003941505,0.00002523133,0.0004169117,0.00001420344,0.0001674211,0.000004761655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003706607,"about_ca_system_score_gemma":0.00003201393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002187961,"about_ca_topic_score_gemma":0.0001320468,"domain_scores_codex":[0.9989683,0.0003231882,0.0002438235,0.0001532299,0.0001312244,0.0001802117],"domain_scores_gemma":[0.9989535,0.0003673394,0.00007359966,0.0005210114,0.00003864985,0.00004596427],"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":[0.00005830196,0.003002183,0.02664909,0.000332301,0.0002628067,0.00001011874,0.04900872,0.0004668464,0.01340492,0.496296,0.003117346,0.4073914],"study_design_scores_gemma":[0.01154172,0.003532222,0.2795697,0.003564497,0.0001818734,0.0007860732,0.0972082,0.2279379,0.08161236,0.07918566,0.2063223,0.008557582],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1527604,0.0009490254,0.8348463,0.008294252,0.0007541306,0.0006380969,0.00002908712,0.000238358,0.001490375],"genre_scores_gemma":[0.991617,0.00007533326,0.007962103,0.000156216,0.0000318545,0.00006799983,4.65183e-7,0.000004868222,0.0000841432],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8388566,"threshold_uncertainty_score":0.2538182,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2092922846","doi":"10.1145/2344416.2344418","title":"Extracting information networks from the blogosphere","year":2012,"lang":"en","type":"article","venue":"ACM Transactions on the Web","topic":"Topic Modeling","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Benchmark (surveying); Relationship extraction; Task (project management); Information extraction; Pruning; Blogosphere; Weighting; Cluster analysis; Data mining; Information retrieval; Relation (database); Filter (signal processing); Artificial intelligence; The Internet; World Wide Web","retraction":null,"screen_n_in":null,"score":{"opus":0.02516296794897443,"gpt":0.2268239240225655,"spread":0.2016609560735911,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003846414,0.00008478509,0.00005662276,0.00001337613,0.0004170533,0.0001441963,0.001026823,0.00005257174,0.0001252833],"category_scores_gemma":[0.00004402589,0.00004877771,0.00005662393,0.000175734,0.00002000006,0.001152997,0.00001898816,0.0003313798,0.0001647585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002490597,"about_ca_system_score_gemma":0.00002098018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001196607,"about_ca_topic_score_gemma":0.00002662597,"domain_scores_codex":[0.9992846,0.00007768664,0.0001624921,0.00008849049,0.0001672628,0.0002194795],"domain_scores_gemma":[0.9981307,0.0007607645,0.00006545612,0.0009777369,0.00002437677,0.00004092919],"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":[0.000008257072,0.0000663904,0.000482148,0.000002411361,0.00006402059,3.407512e-7,0.00571511,0.08021416,0.0001114098,0.0127299,0.001315569,0.8992903],"study_design_scores_gemma":[0.0002655614,0.00001993955,0.002587153,0.00003544041,0.00003520327,0.00001369124,0.001015076,0.9521189,0.0007077263,0.004113502,0.03885143,0.0002364086],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01733432,0.0001199854,0.9719747,0.008622486,0.0008162836,0.0001173229,0.000001978971,0.0001186791,0.0008942197],"genre_scores_gemma":[0.9827712,0.00003116964,0.0152243,0.001723508,0.0001623781,0.00002149648,0.000001026699,0.000004361227,0.00006055068],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9654369,"threshold_uncertainty_score":0.3207679,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2160165932","doi":"10.1145/2344416.2344420","title":"Navigating tomorrow's web","year":2012,"lang":"en","type":"article","venue":"ACM Transactions on the Web","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":24,"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; World Wide Web; Visualization; Web modeling; Information retrieval; Web navigation; Information space; Information visualization; Web application; Human–computer interaction; Web page; Data mining","retraction":null,"screen_n_in":null,"score":{"opus":0.0370615621576551,"gpt":0.3128583078292578,"spread":0.2757967456716027,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003033856,0.00008818488,0.00006886957,0.00002616784,0.0002866774,0.000111616,0.0009397899,0.00003235974,0.0002320117],"category_scores_gemma":[0.00004400443,0.00006248924,0.00006049848,0.0004364706,0.00003233296,0.0004820283,0.00001926863,0.0002139678,0.0005285686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002012173,"about_ca_system_score_gemma":0.00003170568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007678858,"about_ca_topic_score_gemma":0.000008631451,"domain_scores_codex":[0.9992454,0.000066122,0.0001334328,0.0001319725,0.0001985693,0.0002244934],"domain_scores_gemma":[0.998835,0.0001726084,0.00004143744,0.0008366043,0.00003078472,0.00008361824],"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":[0.00001409636,0.001549553,0.001559288,0.00004808473,0.0002351636,0.000008265899,0.008021186,0.001817641,0.01146988,0.3175678,0.02120648,0.6365026],"study_design_scores_gemma":[0.001313181,0.0002103513,0.0009458641,0.000251845,0.0001287868,0.000115795,0.001309327,0.6276736,0.05047103,0.008042788,0.308249,0.001288378],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01274502,0.00003858221,0.974881,0.009847355,0.0005776827,0.00009074725,0.00001927332,0.0002438815,0.001556443],"genre_scores_gemma":[0.9894927,0.00003586178,0.007911839,0.001989039,0.00006169835,0.000009759124,0.000003019357,0.000008350144,0.0004876937],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9767477,"threshold_uncertainty_score":0.6793856,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1967729292","doi":"10.1145/1541822.1541824","title":"Cookies","year":2009,"lang":"en","type":"article","venue":"ACM Transactions on the Web","topic":"Software Testing and Debugging Techniques","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Software deployment; Web testing; Web application security; The Internet; Web engineering; World Wide Web; Web application; Software engineering; Test strategy; Web analytics; Software; Web development; Computer security; Programming language","retraction":null,"screen_n_in":null,"score":{"opus":0.02820609528132348,"gpt":0.2571300410262274,"spread":0.2289239457449039,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016512,0.00007450132,0.00005869127,0.00005832225,0.0002290989,0.00007686402,0.0009661157,0.00002941217,0.00001650663],"category_scores_gemma":[0.0000836198,0.00004984763,0.00004912377,0.0002554375,0.00002753077,0.0001083202,0.000004949864,0.0001397073,0.00007898258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001398124,"about_ca_system_score_gemma":0.00002418287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007851743,"about_ca_topic_score_gemma":0.000001459328,"domain_scores_codex":[0.9994899,0.0000344477,0.00007957913,0.0001477502,0.0001255752,0.0001227678],"domain_scores_gemma":[0.9986002,0.0003847343,0.00002098096,0.000939064,0.0000264535,0.00002855139],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000007186734,0.0001777942,0.00003232216,0.000002307598,0.00001629276,0.00000843559,0.0004597847,0.0001594753,0.0005403208,0.03214511,0.03813488,0.9283161],"study_design_scores_gemma":[0.0001769467,0.0003686533,0.001033857,0.00005496637,0.00001211219,0.00006219273,0.000009903095,0.01800012,0.012253,0.9606854,0.007065954,0.0002769447],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001922684,0.00002680054,0.9666749,0.02196312,0.0001205151,0.00007475297,0.000001246503,0.007364205,0.001851835],"genre_scores_gemma":[0.9141318,0.0000117078,0.08309252,0.002458205,0.00001472345,0.000009660133,1.272235e-7,0.000003314039,0.0002779283],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9285402,"threshold_uncertainty_score":0.2032727,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2088585190","doi":"10.1145/1806916.1806918","title":"Modeling web quality using a probabilistic approach","year":2010,"lang":"en","type":"article","venue":"ACM Transactions on the Web","topic":"Software Engineering Research","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université du Québec à Trois-Rivières; Université de Montréal","funders":"","keywords":"Navigability; Computer science; Quality (philosophy); Task (project management); Probabilistic logic; Process (computing); Bayesian network; Data mining; Statistical model; Machine learning; Artificial intelligence; Systems engineering; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.07936546576008312,"gpt":0.311888930046641,"spread":0.2325234642865579,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009499333,0.0001315593,0.0001174772,0.0001205753,0.0003029712,0.0001528635,0.001615601,0.00007886143,0.00002870051],"category_scores_gemma":[0.0006259024,0.00009817508,0.00008696685,0.0005510919,0.00005961958,0.0002123227,0.00003219887,0.000755275,0.00003842047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005124877,"about_ca_system_score_gemma":0.0001885708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006777342,"about_ca_topic_score_gemma":0.00002636446,"domain_scores_codex":[0.9986664,0.00009697002,0.0001878524,0.000346809,0.000393355,0.0003086297],"domain_scores_gemma":[0.9972081,0.0008860473,0.00002104709,0.00171047,0.00008647861,0.00008782106],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001205884,0.0003089912,0.00007603869,0.00005945826,0.00005688711,0.000002546475,0.0007973087,0.9395978,0.03591613,0.01152782,0.00002230641,0.01162269],"study_design_scores_gemma":[0.0001205155,0.00001405565,0.00004207086,0.000008370913,0.000006521263,0.00001660304,0.00002361177,0.9963013,0.0006070953,0.002672922,0.00006081314,0.0001261348],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3270796,0.000007101257,0.6715578,0.0005912732,0.0002454472,0.0001775702,0.000003462359,0.0002597378,0.00007800922],"genre_scores_gemma":[0.8793714,0.000002416981,0.1204191,0.00004947403,0.00003734951,0.00005065194,3.687437e-7,0.00001498586,0.00005429512],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5522918,"threshold_uncertainty_score":0.4003464,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2604804981","doi":"10.1145/3132709","title":"Faster Base64 Encoding and Decoding Using AVX2 Instructions","year":2018,"lang":"en","type":"article","venue":"ACM Transactions on the Web","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Université du Québec à Montréal; Université TÉLUQ","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Decoding methods; Encoding (memory); Software; XML; Code (set theory)","retraction":null,"screen_n_in":null,"score":{"opus":0.04247306020978261,"gpt":0.276272074186993,"spread":0.2337990139772103,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000234394,0.0001056557,0.00008347349,0.0001513706,0.0008593782,0.0001715934,0.0005388737,0.00004612898,0.00004406031],"category_scores_gemma":[0.00003195349,0.00008257283,0.0000419319,0.0003783669,0.0001063066,0.0002920373,0.00003147732,0.0001514808,0.00001805075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000030586,"about_ca_system_score_gemma":0.00003665144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001446758,"about_ca_topic_score_gemma":0.00001041634,"domain_scores_codex":[0.9992446,0.0000737732,0.0001485665,0.0002421028,0.0001179109,0.000173025],"domain_scores_gemma":[0.9990902,0.0001687632,0.000050447,0.0005772191,0.00006379625,0.00004958025],"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":[0.00006804918,0.0004324589,0.001001464,0.00005882101,0.000337338,0.00001592392,0.01153097,0.03955846,0.04135401,0.08015492,0.003104266,0.8223833],"study_design_scores_gemma":[0.0002007247,0.00008547062,0.00008102737,0.00006396224,0.00001689097,0.00009152543,0.00009546938,0.9713424,0.02015527,0.005626788,0.002022081,0.0002183489],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0383878,0.00001472573,0.9582005,0.001512577,0.0003251483,0.00008946524,0.0000018412,0.0002993576,0.001168546],"genre_scores_gemma":[0.7249561,0.00002644525,0.2744666,0.0003774367,0.0000478148,0.000005374333,1.477651e-7,0.000006647188,0.0001134794],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.931784,"threshold_uncertainty_score":0.6609729,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4297999768","doi":"10.1145/3532856","title":"A User-Centric Analysis of Social Media for Stock Market Prediction","year":2022,"lang":"en","type":"article","venue":"ACM Transactions on the Web","topic":"Stock Market Forecasting Methods","field":"Decision Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"Ontario Centres of Excellence","keywords":"Social media; Stock (firearms); Stock market; Computer science; Sentiment analysis; User-generated content; Data science; World Wide Web; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.1065059772916498,"gpt":0.3684406105222665,"spread":0.2619346332306167,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.007783362,0.0001351521,0.0003721935,0.001202113,0.001038796,0.00005112292,0.001346911,0.00005705782,0.0094968],"category_scores_gemma":[0.005588987,0.00009805114,0.0006358739,0.005802947,0.0000970015,0.00009440861,0.00003761855,0.0002771521,0.000006003364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001166565,"about_ca_system_score_gemma":0.000113496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008876677,"about_ca_topic_score_gemma":0.00006835612,"domain_scores_codex":[0.9959295,0.001305632,0.0006307484,0.000406799,0.001482075,0.0002452749],"domain_scores_gemma":[0.9780259,0.02045837,0.0003342043,0.0009021233,0.0002252538,0.00005411005],"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":[0.003396327,0.001249731,0.0049272,0.00001992446,0.00406605,0.000002925176,0.009104704,0.0397073,0.00120687,0.001989138,0.1281524,0.8061774],"study_design_scores_gemma":[0.003665092,0.0009583061,0.2072322,0.00001270299,0.008077225,0.00002230672,0.01312565,0.4983439,0.001154886,0.05566809,0.2109134,0.0008262675],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2856139,0.00004114685,0.7000247,0.004855014,0.002092553,0.001045409,0.00353401,0.0001297277,0.002663525],"genre_scores_gemma":[0.9904169,0.000004871012,0.006298995,0.0001258381,0.00006015854,0.0003763253,0.00001182153,0.00001875505,0.002686346],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8053511,"threshold_uncertainty_score":0.9914086,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3202591630","doi":"10.1145/3468227","title":"Factorizing Historical User Actions for Next-Day Purchase Prediction","year":2021,"lang":"en","type":"article","venue":"ACM Transactions on the Web","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Recommender system; Leverage (statistics); Collaborative filtering; Markov chain; Machine learning; Database transaction; Bayesian probability; Artificial intelligence; Database","retraction":null,"screen_n_in":null,"score":{"opus":0.09274718359665297,"gpt":0.2785687719892228,"spread":0.1858215883925698,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000306755,0.0001325437,0.0001397945,0.00009251787,0.0005598406,0.0001873489,0.0006031848,0.00009245936,0.00005178374],"category_scores_gemma":[0.00006404218,0.0001018716,0.0001901041,0.0003570761,0.00001429212,0.0004833216,0.00001663551,0.0002428127,0.00001706312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003063965,"about_ca_system_score_gemma":0.00009896245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004061075,"about_ca_topic_score_gemma":0.00003644358,"domain_scores_codex":[0.9989109,0.0001184946,0.0002319393,0.0003314522,0.0001904734,0.0002167618],"domain_scores_gemma":[0.9982781,0.0004519187,0.000060284,0.001027894,0.0001076354,0.00007411266],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004919884,0.001739132,0.0001657285,0.0001105549,0.0005915096,0.00002912097,0.003900612,0.000507862,0.08469467,0.1118517,0.1290582,0.6673017],"study_design_scores_gemma":[0.0002975184,0.000144206,0.00008484253,0.00003422198,0.00003267183,0.0000474315,0.0001396419,0.006775537,0.03682831,0.006475403,0.9489449,0.0001953075],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0006047355,0.00008557561,0.9774265,0.01872201,0.001970109,0.0002903716,0.00002674594,0.0004252497,0.0004486783],"genre_scores_gemma":[0.9502428,0.0001660685,0.04334782,0.0005992011,0.0002435274,0.0005712483,0.000006427227,0.00002827587,0.004794589],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9496381,"threshold_uncertainty_score":0.4305898,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4377021837","doi":"10.1145/3597499","title":"User Experience and the Role of Personalization in Critiquing-Based Conversational Recommendation","year":2023,"lang":"en","type":"article","venue":"ACM Transactions on the Web","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"Mitacs; Ontario Centres of Excellence","keywords":"Personalization; Computer science; Recommender system; Conversation; Matching (statistics); World Wide Web; User experience design; Information retrieval; Human–computer interaction; Psychology","retraction":null,"screen_n_in":null,"score":{"opus":0.02208286072897469,"gpt":0.2623580399459307,"spread":0.240275179216956,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005128519,0.00005783578,0.00007373097,0.000109102,0.0001291687,0.00004465543,0.0003300958,0.00002866002,0.00004293626],"category_scores_gemma":[0.00003453591,0.00003682182,0.00003321183,0.0004199841,0.00006965822,0.0001930388,0.000009751087,0.00007655665,0.000004082262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000186348,"about_ca_system_score_gemma":0.00002816439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001167425,"about_ca_topic_score_gemma":0.00004102857,"domain_scores_codex":[0.9993499,0.0001597725,0.0001532547,0.000133358,0.0001223145,0.00008143113],"domain_scores_gemma":[0.9991286,0.0004928885,0.00005036633,0.0002772284,0.00003777705,0.00001315259],"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":[0.0003038589,0.0005003345,0.01199814,0.0001420354,0.0001331073,0.000003528664,0.07464401,0.002871702,0.009626993,0.5764834,0.002645124,0.3206478],"study_design_scores_gemma":[0.001689218,0.0001049667,0.005612497,0.0001204038,0.00001128227,0.000007635435,0.004839964,0.8967054,0.03556776,0.04401372,0.01109109,0.0002359973],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03938607,0.00002682001,0.9238668,0.03559226,0.0001620201,0.0003794958,0.00000871565,0.0001505155,0.0004272886],"genre_scores_gemma":[0.9981503,0.00003845664,0.001281284,0.0003579711,0.0000063255,0.0001229831,0.000002771564,0.000003878177,0.00003597456],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9587643,"threshold_uncertainty_score":0.150155,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2056769738","doi":"10.1145/2490255","title":"A vlHMM approach to context-aware search","year":2013,"lang":"en","type":"article","venue":"ACM Transactions on the Web","topic":"Information Retrieval and Search Behavior","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Simon Fraser University","funders":"Networks of Centres of Excellence of Canada; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; Microsoft Research","keywords":"Computer science; Information retrieval; Session (web analytics); Context (archaeology); Web search query; Feature (linguistics); Construct (python library); Search engine; Data mining; World Wide Web","retraction":null,"screen_n_in":null,"score":{"opus":0.045809388665741,"gpt":0.2591206228227113,"spread":0.2133112341569703,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002791672,0.000102955,0.0000887844,0.0001330737,0.0004098224,0.0002632395,0.001437364,0.00004644327,0.0003823228],"category_scores_gemma":[0.00001945834,0.00006556592,0.0000774894,0.000593871,0.00004827335,0.0004986252,0.00002962426,0.000281233,0.0038067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003928806,"about_ca_system_score_gemma":0.00007674589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009795398,"about_ca_topic_score_gemma":0.000004604234,"domain_scores_codex":[0.9988973,0.00007823487,0.0001589295,0.0001826993,0.000397176,0.0002856205],"domain_scores_gemma":[0.9986551,0.0001502087,0.00001738871,0.0008738401,0.0001578306,0.0001456098],"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":[0.0000325172,0.0006618448,0.00006132949,0.00003187368,0.00005990582,0.000002578437,0.01114908,0.002078495,0.002095506,0.03292226,0.01285555,0.9380491],"study_design_scores_gemma":[0.003615662,0.001923292,0.01512062,0.0001512463,0.00006867512,0.0001800915,0.0137165,0.768473,0.07870827,0.00884035,0.106706,0.002496306],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04072764,0.000004014688,0.9389135,0.01552508,0.0001352444,0.0006772258,0.000008817724,0.0001591393,0.003849322],"genre_scores_gemma":[0.9872463,0.00000476064,0.006508796,0.002479688,0.00001524665,0.0002019617,0.000001277107,0.000006268948,0.003535708],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9465187,"threshold_uncertainty_score":0.9969689,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2077439276","doi":"10.1145/1806916.1806920","title":"Exploring XML web collections with DescribeX","year":2010,"lang":"en","type":"article","venue":"ACM Transactions on the Web","topic":"Advanced Database Systems and Queries","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa; Carleton University; University of Toronto","funders":"","keywords":"Computer science; XPath; Document Structure Description; Information retrieval; Schema (genetic algorithms); World Wide Web; XML; XML Schema Editor; RSS; XML validation","retraction":null,"screen_n_in":null,"score":{"opus":0.06726977821672953,"gpt":0.2344276321629866,"spread":0.1671578539462571,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001372864,0.0001354452,0.0001072509,0.0001201986,0.0009796661,0.00009501484,0.0005826778,0.00002998027,0.00009026778],"category_scores_gemma":[0.00002947516,0.00008588839,0.00005500628,0.0008295061,0.00008992138,0.0008948377,0.00001555604,0.0003927089,0.00008385716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002130988,"about_ca_system_score_gemma":0.0001157241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006084619,"about_ca_topic_score_gemma":0.001279282,"domain_scores_codex":[0.9991314,0.00003951104,0.0001372454,0.0002701004,0.0001964893,0.000225289],"domain_scores_gemma":[0.998259,0.0002247035,0.00004243938,0.001346274,0.00006420597,0.00006339556],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002173212,0.001072286,0.0001516238,0.00007813126,0.000504871,0.00008693759,0.006459376,0.007172239,0.1918724,0.6296836,0.00969691,0.1530043],"study_design_scores_gemma":[0.001061827,0.0004206353,0.0002014526,0.0001243145,0.00005128215,0.0003683819,0.001265322,0.01206422,0.07485662,0.002276234,0.9065317,0.0007780362],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02904557,0.000008081724,0.9640115,0.003431087,0.0009116463,0.0002120879,0.00003685867,0.0003037229,0.002039407],"genre_scores_gemma":[0.8894494,0.00006213823,0.1072843,0.000264558,0.00008089037,0.0003599112,0.000001383892,0.00001988926,0.002477464],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8968348,"threshold_uncertainty_score":0.7534899,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4311491308","doi":"10.1145/3572406","title":"Graph Attention Network for Text Classification and Detection of Mental Disorder","year":2022,"lang":"en","type":"article","venue":"ACM Transactions on the Web","topic":"Mental Health via Writing","field":"Psychology","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Brandon University","funders":"","keywords":"Computer science; Lexicon; Graph; Neighbourhood (mathematics); Mental lexicon; Artificial intelligence; Theoretical computer science; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.04314525960977813,"gpt":0.3251005861498817,"spread":0.2819553265401036,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004126403,0.0000709473,0.00007939407,0.00006993258,0.0008123908,0.000006245273,0.0001169032,0.00003385176,0.0004880461],"category_scores_gemma":[0.000005979653,0.00006457733,0.0000633242,0.0002323363,0.00004723051,0.00003745149,0.000005357162,0.0001676021,0.000008192299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005254029,"about_ca_system_score_gemma":0.000008485246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006999401,"about_ca_topic_score_gemma":0.0001128561,"domain_scores_codex":[0.9991582,0.000180305,0.000210897,0.0001777795,0.0001145958,0.0001582253],"domain_scores_gemma":[0.9993188,0.0002586609,0.0001069985,0.0002747174,0.00001553523,0.00002525539],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002349228,0.001660012,0.007332035,0.0001812041,0.000376858,6.986435e-7,0.004266148,0.000998966,0.08100989,0.01623477,0.00221993,0.8833703],"study_design_scores_gemma":[0.01862463,0.009783251,0.5851685,0.0002702956,0.001021146,0.000336364,0.151796,0.03233739,0.00770933,0.0588812,0.1321777,0.00189417],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9546934,0.0002350393,0.03913423,0.003202044,0.0009236546,0.001097193,0.0001264108,0.00004926302,0.0005387014],"genre_scores_gemma":[0.9981744,0.00002911095,0.0002600176,0.0001829226,0.00003040117,0.0008716569,0.00001781935,0.00001616768,0.000417529],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8814761,"threshold_uncertainty_score":0.6248336,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4403850457","doi":"10.1145/3700791","title":"AugmenToxic: Leveraging Reinforcement Learning to Optimize LLM Instruction Fine-Tuning for Data Augmentation to Enhance Toxicity Detection","year":2024,"lang":"en","type":"article","venue":"ACM Transactions on the Web","topic":"Machine Learning and Data Classification","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University; Concordia University","funders":"Canada Research Chairs","keywords":"Computer science; Reinforcement learning; Human–computer interaction; Machine learning","retraction":null,"screen_n_in":null,"score":{"opus":0.04766722686026172,"gpt":0.3230694024013829,"spread":0.2754021755411212,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009379397,0.0001730709,0.0001144129,0.0002902345,0.000742303,0.0005067751,0.001133301,0.00005168262,0.00005601884],"category_scores_gemma":[0.0002523222,0.000149347,0.0000567878,0.0007780606,0.00001402932,0.0008732146,0.00007930736,0.0003477125,0.0001203012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002074515,"about_ca_system_score_gemma":0.00006591585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009639153,"about_ca_topic_score_gemma":0.0001083803,"domain_scores_codex":[0.9983237,0.0001245326,0.0002975797,0.0006825408,0.0003118733,0.0002598028],"domain_scores_gemma":[0.9980989,0.0003784693,0.00007005772,0.001296764,0.00005930321,0.0000964994],"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":[0.00004950673,0.00002621088,0.000001820383,0.00002908835,0.00003644472,4.548862e-7,0.001196393,0.2513371,0.05837989,0.0004765557,0.0004053351,0.6880612],"study_design_scores_gemma":[0.0001643909,0.0002550711,0.0000310963,0.0001007819,0.0000267306,0.000007119275,0.0001945479,0.9225933,0.05114526,0.0001944926,0.02509885,0.000188346],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01174878,0.00001828271,0.9732627,0.01296699,0.0007946905,0.0006104503,0.00001374783,0.0004393369,0.0001449806],"genre_scores_gemma":[0.9316815,0.00002282069,0.06622511,0.0004466479,0.00009545508,0.0002472094,0.00006422222,0.00002046115,0.001196607],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9199327,"threshold_uncertainty_score":0.6090196,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4318477386","doi":"10.1145/3580508","title":"Heterogeneous Graph Transformer for Meta-structure Learning with Application in Text Classification","year":2023,"lang":"en","type":"article","venue":"ACM Transactions on the Web","topic":"Topic Modeling","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"Natural Science Foundation of Hebei Province","keywords":"Computer science; Graph; Theoretical computer science; Meta learning (computer science); Artificial intelligence; Extractor; Heterogeneous network; Metamodeling; Knowledge graph; Machine learning; Wireless network; Programming language","retraction":null,"screen_n_in":null,"score":{"opus":0.04838839891813099,"gpt":0.2623894346928376,"spread":0.2140010357747066,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002278821,0.0001160934,0.0001243186,0.0001749603,0.0002300815,0.00005207101,0.0005805264,0.00005898121,0.00001623576],"category_scores_gemma":[0.00001001826,0.00007554197,0.00009814616,0.000717776,0.00002502263,0.000155326,0.000002575135,0.0002078865,0.00001731491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002789989,"about_ca_system_score_gemma":0.00003119975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001889873,"about_ca_topic_score_gemma":0.0002346698,"domain_scores_codex":[0.9991012,0.000055353,0.0001657696,0.0003182602,0.0001660648,0.0001933145],"domain_scores_gemma":[0.9990497,0.0002179478,0.00004589031,0.0006225005,0.0000354989,0.00002841487],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006015521,0.0000766494,0.000104806,0.00003914621,0.0003704459,0.000001822955,0.002447032,0.6406299,0.02561622,0.01282564,0.0000448963,0.3177833],"study_design_scores_gemma":[0.0007003415,0.00016804,0.0006399197,0.00001672528,0.0001990029,0.000021924,0.0002249143,0.9459044,0.01984702,0.02543384,0.006519258,0.0003245955],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03971555,0.00001904599,0.9528675,0.006623165,0.00005319714,0.0004809199,0.000008011842,0.0001946159,0.0000379644],"genre_scores_gemma":[0.9889333,0.00003056334,0.009940127,0.0001479889,0.0000129125,0.0007834185,0.000005662782,0.00001380968,0.0001322354],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9492177,"threshold_uncertainty_score":0.3080512,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4317659260","doi":"10.1145/3580519","title":"Validation of an Improved Vision-Based Web Page Parsing Pipeline","year":2023,"lang":"en","type":"article","venue":"ACM Transactions on the Web","topic":"Multimodal Machine Learning Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo; McGill University; Mount Allison University","funders":"","keywords":"Computer science; Parsing; Pipeline (software); Segmentation; Ground truth; Web page; Set (abstract data type); Artificial intelligence; Pruning; Zoom; Machine learning; Visualization; Interface (matter); Information retrieval; World Wide Web; Programming language","retraction":null,"screen_n_in":null,"score":{"opus":0.02155203640625081,"gpt":0.294845347279104,"spread":0.2732933108728532,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000615901,0.0001228637,0.0001188416,0.0002136346,0.0003440107,0.00007532621,0.001099002,0.0000572645,0.0000600799],"category_scores_gemma":[0.0001054304,0.00009643479,0.00008745593,0.001129298,0.00005354368,0.0002167664,0.00001610597,0.0002516064,0.0001490252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002916212,"about_ca_system_score_gemma":0.0001025904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001206642,"about_ca_topic_score_gemma":0.00002033388,"domain_scores_codex":[0.9987997,0.000189225,0.0002532277,0.0003179901,0.0002472583,0.000192615],"domain_scores_gemma":[0.9974989,0.0007232075,0.0001081904,0.001520526,0.00008405169,0.00006511265],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003798548,0.0005521195,0.00009756384,0.00003161047,0.00003166703,0.000001918949,0.0007092657,0.1764535,0.5837359,0.001285978,0.000285106,0.2367774],"study_design_scores_gemma":[0.0002897051,0.00009000406,0.0007848453,0.0000187996,0.00001235597,0.000001125096,0.00002963397,0.952543,0.04447203,0.001375328,0.0002816664,0.0001015712],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3476848,0.000003156235,0.637315,0.01395349,0.0001328855,0.0002771108,0.00002388866,0.0005002673,0.0001094619],"genre_scores_gemma":[0.974986,0.000005445447,0.02454524,0.000232845,0.00002312923,0.00007173096,0.00001683056,0.00001690955,0.0001018292],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7760894,"threshold_uncertainty_score":0.3932497,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4406302405","doi":"10.1145/3711912","title":"Unsupervised Framing Analysis for Social Media Discourse in Polarizing Events","year":2025,"lang":"en","type":"article","venue":"ACM Transactions on the Web","topic":"Social Media and Politics","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"Fondo de Financiamiento de Centros de Investigación en Áreas Prioritarias; Agencia Nacional de Investigación y Desarrollo","keywords":"Computer science; Generalizability theory; Framing (construction); Data science; Social media; Computational sociology; Realm; World Wide Web","retraction":null,"screen_n_in":null,"score":{"opus":0.050320972927824,"gpt":0.3614347509426365,"spread":0.3111137780148125,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004159851,0.00008196555,0.0001665771,0.0002331268,0.001013501,0.00003559763,0.0003745657,0.0001266183,0.0001277117],"category_scores_gemma":[0.0005835685,0.00007045011,0.000220053,0.001183483,0.0001605044,0.00007684337,0.000003688331,0.0002007381,0.000007648866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001289327,"about_ca_system_score_gemma":0.0002547333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001258225,"about_ca_topic_score_gemma":0.01297567,"domain_scores_codex":[0.9989559,0.0002237328,0.0001648911,0.0001387025,0.0002118474,0.0003049363],"domain_scores_gemma":[0.9974483,0.002259348,0.00003177221,0.0001722328,0.00004252604,0.00004581965],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001825243,0.0009322592,0.06597601,0.00006300285,0.00240116,0.000003616885,0.5933861,0.0003144045,0.001052989,0.2082545,0.0006981132,0.1267354],"study_design_scores_gemma":[0.002678741,0.00005036093,0.0534342,0.0001481507,0.003252042,1.109839e-7,0.6488119,0.001118066,0.001537354,0.2580476,0.03013102,0.0007905245],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9138322,0.00007219532,0.02638905,0.05549534,0.001471655,0.0005567499,0.0001284292,0.00008242996,0.001971919],"genre_scores_gemma":[0.9985796,0.00004509834,0.0002601576,0.0004636531,0.000176709,0.00008216389,0.000005408272,0.000006759584,0.0003805162],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1259449,"threshold_uncertainty_score":0.7795134,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4415850618","doi":"10.1145/3774629","title":"GPoS: Geospatially-aware Proof of Stake","year":2025,"lang":"en","type":"article","venue":"ACM Transactions on the Web","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Geospatial analysis; Voting; Decentralization; Overhead (engineering); Proof of concept","retraction":null,"screen_n_in":null,"score":{"opus":0.01322892441514815,"gpt":0.2388266369007643,"spread":0.2255977124856162,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001900372,0.00008481944,0.0001072604,0.0001251182,0.0002289227,0.00001931797,0.001528952,0.00009140121,0.00003941583],"category_scores_gemma":[0.00002029458,0.0000625493,0.00006739778,0.0006831659,0.0001111454,0.00005533742,0.00002691554,0.0002322757,0.00001134238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001862668,"about_ca_system_score_gemma":0.00009971015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003061346,"about_ca_topic_score_gemma":0.0001025384,"domain_scores_codex":[0.9993332,0.00004008264,0.0001748368,0.0002109341,0.0001097565,0.0001311825],"domain_scores_gemma":[0.9981526,0.0001920236,0.00005122971,0.001509472,0.00007712351,0.00001757333],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001457144,0.000624513,0.00005634312,0.00003872451,0.0001358232,0.000001290324,0.0004783425,0.0007792908,0.001448764,0.5491259,0.001930819,0.4453656],"study_design_scores_gemma":[0.0009975486,0.0002957183,0.0007518427,0.0001327823,0.00008524488,0.00001022603,0.0003517238,0.1111397,0.3253024,0.5034019,0.05710579,0.000425206],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00691838,0.0000613975,0.9551142,0.03655737,0.0001046251,0.0002741407,0.00001447897,0.0001627394,0.000792618],"genre_scores_gemma":[0.9922429,0.00002726938,0.006687871,0.0003938471,0.000004463725,0.0001250729,6.125466e-7,0.000003583103,0.000514369],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9853245,"threshold_uncertainty_score":0.2841198,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4311491436","doi":"10.1145/3572408","title":"sGrow: Explaining the Scale-Invariant Strength Assortativity of Streaming Butterflies","year":2022,"lang":"en","type":"article","venue":"ACM Transactions on the Web","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Burstiness; Computer science; Assortativity; Theoretical computer science; Complex network; Network packet","retraction":null,"screen_n_in":null,"score":{"opus":0.01779755407251123,"gpt":0.2502778333030571,"spread":0.2324802792305459,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004551208,0.0001305382,0.0001735717,0.00006825855,0.0008766577,0.00003104407,0.0005867672,0.00001196792,0.001593486],"category_scores_gemma":[0.000007054425,0.00008662354,0.0002001052,0.0003726986,0.00007821412,0.00006014388,0.00003538562,0.000405659,0.000003760639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002861048,"about_ca_system_score_gemma":0.00003842607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000327248,"about_ca_topic_score_gemma":0.0001005736,"domain_scores_codex":[0.9988761,0.0002830345,0.0002280055,0.00017874,0.0002547296,0.0001794026],"domain_scores_gemma":[0.9980761,0.0009945353,0.0001457024,0.0007327467,0.00002798602,0.00002286163],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000279142,0.00359607,0.04173066,0.0000363353,0.003938046,0.000007046236,0.01811708,0.07770017,0.0319201,0.09772447,0.006262446,0.7186884],"study_design_scores_gemma":[0.003781104,0.002207766,0.04209963,0.0005357021,0.004148704,0.00002925519,0.1611208,0.196927,0.3024282,0.2218983,0.06091665,0.003906865],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9001961,0.00002929434,0.09413231,0.002601878,0.00008931386,0.0002672776,0.0002345477,0.00008823347,0.002360989],"genre_scores_gemma":[0.9987274,0.000004760902,0.0007569646,0.00006210861,0.00004941335,0.0001739667,0.00001028746,0.00001532567,0.0001997549],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7147816,"threshold_uncertainty_score":0.9993192,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4413830730","doi":"10.1145/3764936","title":"Decentralized Model Selection for Test-Time Adaptation in Heterogeneous Connected Systems","year":2025,"lang":"en","type":"article","venue":"ACM Transactions on the Web","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Guangdong Provincial Pearl River Talents Program","keywords":"Computer science; Adaptation (eye); Selection (genetic algorithm); Test (biology); Distributed computing; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.02027805220109835,"gpt":0.2551290940245798,"spread":0.2348510418234814,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001891788,0.0001111675,0.0001182557,0.0001867614,0.0003026858,0.00009668255,0.0005018685,0.00008056394,0.000008761605],"category_scores_gemma":[0.00005081196,0.0000941131,0.00007979907,0.0007239431,0.00002107223,0.00013319,0.000006702933,0.0001222998,0.00001412114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001134703,"about_ca_system_score_gemma":0.00009731184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005306586,"about_ca_topic_score_gemma":0.0000670971,"domain_scores_codex":[0.9991572,0.00005282829,0.0002421584,0.0002736218,0.00009619463,0.0001779216],"domain_scores_gemma":[0.9988438,0.0004910643,0.0000607318,0.0004792165,0.0000976812,0.00002754341],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001054149,0.0004946272,0.00001733099,0.00004246345,0.00006373108,4.0947e-7,0.0003258201,0.8314912,0.05430566,0.06256554,0.0009970904,0.04959072],"study_design_scores_gemma":[0.000297516,0.00006108117,0.00001260309,0.00002072511,0.00001356215,0.000004662053,0.00001886211,0.962704,0.02862364,0.007210438,0.0009428815,0.00009000782],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006670116,0.0000226578,0.9887911,0.003017565,0.00007766706,0.0009094903,0.00001969523,0.0003869642,0.0001047319],"genre_scores_gemma":[0.9708061,0.00004607886,0.02661285,0.0003265619,0.00000648605,0.001154476,0.000002531532,0.000008899984,0.001036054],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9641359,"threshold_uncertainty_score":0.3837821,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}