{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":10,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":10,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"134f47c2dc62","filters":{"venue":"IEEE/WIC/ACM International Conference on Web Intelligence (WI'04)"}},"results":[{"id":"W4237073550","doi":"10.1109/wi.2004.10104","title":"A Web-Based Intelligent Tutoring System for Computer Programming","year":2005,"lang":"en","type":"article","venue":"IEEE/WIC/ACM International Conference on Web Intelligence (WI'04)","topic":"Intelligent Tutoring Systems and Adaptive Learning","field":"Computer Science","cited_by":48,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Regina","funders":"","keywords":"Computer science; Intelligent tutoring system; Bayesian network; Reading (process); World Wide Web; Intelligent decision support system; Process (computing); Web intelligence; Class (philosophy); Artificial intelligence; Human–computer interaction; Multimedia; Web page; Web modeling; Programming language","authors":[{"name":"Cory J. Butz","is_ca":true},{"name":"R. Brien Maguire","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07237977518235496,"gpt":0.3147285343947635,"spread":0.2423487592124086,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005826437,0.0004852809,0.0005410657,0.0005387178,0.000409084,0.0008666005,0.0009328675,0.0009963285,0.009433893],"category_scores_gemma":[0.003164888,0.0002024355,0.0002532283,0.0003389033,0.0002104907,0.001199706,0.001033819,0.0008479487,0.003906671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003316993,"about_ca_system_score_gemma":0.0005894615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000799965,"about_ca_topic_score_gemma":0.000798798,"domain_scores_codex":[0.9996171,0.00009146357,0.00003438576,0.00009751914,0.0001316087,0.00002786926],"domain_scores_gemma":[0.9990405,0.0003571258,0.00005738401,0.0001371786,0.0002376531,0.0001701617],"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":[0.00136803,0.001726178,0.00487943,0.0003607794,0.0001219343,0.001170872,0.0007977964,0.01782905,0.06113912,0.00750232,0.07681791,0.8262866],"study_design_scores_gemma":[0.001032722,0.001876993,0.008040334,0.0001246332,0.0002883969,0.002189665,0.0002090998,0.6750004,0.09549817,0.0192062,0.1963007,0.0002325976],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08114274,0.0005082438,0.7249894,0.0008102071,0.0002909619,0.000876052,0.001030751,0.1702306,0.02012113],"genre_scores_gemma":[0.5059004,0.0004704587,0.4574691,0.001235804,0.0002351725,0.001035665,0.002975198,0.002245767,0.02843237],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009433893,"threshold_uncertainty_score":0.03155953,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4229585521","doi":"10.1109/wi.2004.10170","title":"Trust-Based Community Formation in Peer-to-Peer File Sharing Networks","year":2005,"lang":"en","type":"article","venue":"IEEE/WIC/ACM International Conference on Web Intelligence (WI'04)","topic":"Peer-to-Peer Network Technologies","field":"Computer Science","cited_by":38,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Reputation; Computer science; Peer-to-peer; Mechanism (biology); File sharing; Quality (philosophy); Shared resource; Information sharing; Internet privacy; World Wide Web; Computer network; The Internet","authors":[{"name":"Yao Wang","is_ca":true},{"name":"Julita Vassileva","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.08620145764011532,"gpt":0.3282748368179844,"spread":0.242073379177869,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003599725,0.0004264155,0.001009162,0.001068045,0.002891718,0.002119595,0.002386448,0.002024873,0.001164188],"category_scores_gemma":[0.02173623,0.0005176475,0.0005962177,0.001171159,0.002052095,0.004316524,0.003102271,0.001115779,0.0004073389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001434235,"about_ca_system_score_gemma":0.001403616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004143012,"about_ca_topic_score_gemma":0.002580874,"domain_scores_codex":[0.9962543,0.001628668,0.0001947807,0.0005353907,0.001078885,0.0003080072],"domain_scores_gemma":[0.9870188,0.006884704,0.001565996,0.001503606,0.001875212,0.001151765],"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":[0.0007297989,0.0004598765,0.009497263,0.0005890554,0.0002403962,0.00193616,0.004112226,0.5326703,0.01458041,0.2825272,0.007651954,0.1450055],"study_design_scores_gemma":[0.0001042171,0.0001520536,0.001073296,0.00003488109,0.00005308728,0.0003725756,0.0004529462,0.8511177,0.003432783,0.1365459,0.006598768,0.0000617706],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1610135,0.001175885,0.8278956,0.001423376,0.0001454609,0.0003740141,0.0001403455,0.000678274,0.007153518],"genre_scores_gemma":[0.9270182,0.0003560285,0.06912886,0.00007056323,0.00009871303,0.0001920802,0.0001153642,0.00004472244,0.002975436],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004143012,"threshold_uncertainty_score":0.01903737,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4214690579","doi":"10.1109/wi.2004.10048","title":"A Fast Tree Pattern Matching Algorithm for XML Query","year":2005,"lang":"en","type":"article","venue":"IEEE/WIC/ACM International Conference on Web Intelligence (WI'04)","topic":"Advanced Database Systems and Queries","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Regina","funders":"","keywords":"Pattern matching; Computer science; XML; Matching (statistics); Tree (set theory); Tree decomposition; Algorithm; Theoretical computer science; Mathematics; Artificial intelligence; Combinatorics","authors":[{"name":"JingTao Yao","is_ca":true},{"name":"M. Zhang","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05704593411194284,"gpt":0.3251700530208864,"spread":0.2681241189089436,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009786106,0.000804678,0.0008554608,0.001993301,0.001091613,0.001406744,0.001686175,0.001179923,0.006676963],"category_scores_gemma":[0.002514892,0.0004888515,0.0009534631,0.003220412,0.0005185572,0.003911487,0.0019517,0.001204304,0.00325564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008773187,"about_ca_system_score_gemma":0.001596984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003017859,"about_ca_topic_score_gemma":0.003047838,"domain_scores_codex":[0.9985912,0.000179486,0.0001732494,0.0003221331,0.0006227107,0.0001111865],"domain_scores_gemma":[0.9992712,0.0001961812,0.00005465818,0.0001595903,0.0002893285,0.00002901169],"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":[0.0003973619,0.0001378594,0.001028709,0.00036475,0.00008058743,0.0002203765,0.0002872522,0.01751649,0.03493442,0.05269085,0.03092959,0.8614118],"study_design_scores_gemma":[0.0002908346,0.0003663883,0.000949759,0.00007586823,0.0000942274,0.00138136,0.0002519047,0.7307529,0.05411244,0.1035743,0.1080169,0.000133114],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003026364,0.0002962579,0.9909958,0.0001220815,0.00004793622,0.0001618087,0.0003253554,0.003604615,0.001419844],"genre_scores_gemma":[0.03336503,0.0003004846,0.9610444,0.0001293096,0.00003636223,0.0002705054,0.001698107,0.0003384868,0.002817326],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006676963,"threshold_uncertainty_score":0.02233672,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4236760935","doi":"10.1109/wi.2004.10057","title":"Focused Crawling by Learning HMM from User's Topic-specific Browsing","year":2005,"lang":"en","type":"article","venue":"IEEE/WIC/ACM International Conference on Web Intelligence (WI'04)","topic":"Web Data Mining and Analysis","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":"Dalhousie University","funders":"","keywords":"Crawling; Computer science; Hidden Markov model; Web page; Information retrieval; Focused crawler; World Wide Web; Web crawler; Session (web analytics); Task (project management); Traverse; Construct (python library); Static web page; Artificial intelligence; Web navigation","authors":[{"name":"Hongyu Liu","is_ca":true},{"name":"E. Milios","is_ca":true},{"name":"J. Janssen","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06551536332156896,"gpt":0.3010360112915977,"spread":0.2355206479700288,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001158381,0.0009282389,0.001228125,0.002121347,0.0003271926,0.0006997566,0.001102226,0.001129638,0.0006415793],"category_scores_gemma":[0.00491962,0.0007483457,0.0008947196,0.001367338,0.0003341919,0.001819487,0.0005853767,0.000999208,0.0008339487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005169235,"about_ca_system_score_gemma":0.0008752326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009964434,"about_ca_topic_score_gemma":0.01974324,"domain_scores_codex":[0.9993517,0.0001869117,0.00004361831,0.0002416938,0.000124033,0.00005208116],"domain_scores_gemma":[0.9965718,0.002029615,0.000193154,0.000559684,0.0005112629,0.0001344097],"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":[0.0009174813,0.001287255,0.05852711,0.0004324682,0.0006723835,0.0005942023,0.0009162541,0.2735412,0.02685639,0.00274738,0.01223746,0.6212705],"study_design_scores_gemma":[0.00001564677,0.00009562601,0.00397765,0.000007661928,0.00005230462,0.0001113057,0.00002941005,0.9901406,0.003334442,0.001730135,0.0004857753,0.00001953115],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2475408,0.0005309444,0.7407102,0.0001377309,0.00003765776,0.0001991028,0.001105029,0.008861635,0.0008769526],"genre_scores_gemma":[0.7068833,0.0003962335,0.2845747,0.0001333336,0.00006246877,0.0003176686,0.00480302,0.0003090965,0.002520294],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009964434,"threshold_uncertainty_score":0.01981288,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4246729318","doi":"10.1109/wi.2004.10150","title":"Supporting Web Collaboration for Cooperative Software Development","year":2005,"lang":"en","type":"article","venue":"IEEE/WIC/ACM International Conference on Web Intelligence (WI'04)","topic":"Usability and User Interface Design","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Montréal","funders":"","keywords":"Computer science; Orchestration; Web modeling; Web development; Task (project management); Web service; Web application; Software; Software development; Web standards; World Wide Web; Collaborative software; Process (computing); Control (management); Software engineering; Engineering; Systems engineering; Operating system","authors":[{"name":"Lei Wu","is_ca":true},{"name":"H. Sahraoui","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0924020131240645,"gpt":0.3636132322711091,"spread":0.2712112191470447,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002063876,0.0004654355,0.0004124445,0.0005882193,0.0009627077,0.002440541,0.0009337977,0.001199602,0.003090209],"category_scores_gemma":[0.007612188,0.0003772786,0.0003420731,0.0004992982,0.0005537851,0.003181389,0.003595309,0.0009882043,0.001229301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002663725,"about_ca_system_score_gemma":0.0009275326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007276748,"about_ca_topic_score_gemma":0.0007953065,"domain_scores_codex":[0.9973628,0.001290425,0.0001456536,0.0002650169,0.0007432477,0.0001929281],"domain_scores_gemma":[0.9951726,0.002355377,0.0004488227,0.0009257878,0.0006720884,0.0004254228],"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":[0.0006638055,0.0009398893,0.004936779,0.0008837059,0.00009402568,0.0008717457,0.004856387,0.01084795,0.1445986,0.06532662,0.008335535,0.7576449],"study_design_scores_gemma":[0.0004948026,0.001668092,0.009485199,0.0007183781,0.0002979388,0.00272447,0.002168249,0.465858,0.1620171,0.1249656,0.2292857,0.0003165242],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06941189,0.0008344242,0.9041016,0.0005220521,0.0001111127,0.0003080874,0.00004229214,0.005095537,0.01957307],"genre_scores_gemma":[0.5650347,0.000479308,0.4288842,0.0001816831,0.00009138945,0.0003845211,0.0001146978,0.0003634405,0.004466042],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003090209,"threshold_uncertainty_score":0.01091492,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4252873748","doi":"10.1109/wi.2004.10022","title":"ONTOXPL - Intelligent Exploration of OWL Ontologies","year":2005,"lang":"en","type":"article","venue":"IEEE/WIC/ACM International Conference on Web Intelligence (WI'04)","topic":"Semantic Web and Ontologies","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; Semantic reasoner; OWL-S; Ontology; Web Ontology Language; World Wide Web; Description logic; Semantic Web; Information retrieval; Process ontology; Semantic Web Stack; Artificial intelligence","authors":[{"name":"V. Haarslev","is_ca":true},{"name":"Ying Lü","is_ca":true},{"name":"N. Shiri","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1629342313404048,"gpt":0.3540353089823616,"spread":0.1911010776419568,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001590725,0.0009611186,0.0005722023,0.001497227,0.0006621374,0.002729527,0.001721666,0.0007177708,0.01874376],"category_scores_gemma":[0.003475325,0.0009294934,0.001322859,0.0009786683,0.0006515547,0.005138124,0.005028652,0.00199768,0.007049993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006052586,"about_ca_system_score_gemma":0.001061367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002349098,"about_ca_topic_score_gemma":0.00303628,"domain_scores_codex":[0.9988784,0.0001956473,0.000096969,0.0001815932,0.0005755808,0.00007174061],"domain_scores_gemma":[0.9992703,0.0003191704,0.00004745512,0.0001968022,0.0001023979,0.00006392291],"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":[0.0006994977,0.0003863277,0.002223473,0.001299192,0.0001978794,0.002261789,0.001646144,0.008637327,0.03602257,0.1085677,0.2493311,0.5887271],"study_design_scores_gemma":[0.0003164178,0.0001090442,0.002185522,0.0002933248,0.00007442466,0.00152417,0.0005983484,0.1861838,0.04823352,0.1341326,0.6262,0.0001488457],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007839343,0.0002079851,0.8121385,0.0005254708,0.0001008922,0.0005093528,0.00740142,0.1500323,0.02124465],"genre_scores_gemma":[0.08385816,0.0008877957,0.8155066,0.0009079712,0.0000794703,0.000946731,0.0450693,0.01869981,0.03404418],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01874376,"threshold_uncertainty_score":0.06270409,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4246750514","doi":"10.1109/wi.2004.10071","title":"A Weighted Freshness Metric for Maintaining Search Engine Local Repository","year":2005,"lang":"en","type":"article","venue":"IEEE/WIC/ACM International Conference on Web Intelligence (WI'04)","topic":"Web Data Mining and Analysis","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":"Dalhousie University","funders":"","keywords":"Web crawler; Computer science; Web search engine; Web page; Metric (unit); World Wide Web; Information retrieval; Search engine; Database; Web search query; Engineering","authors":[{"name":"Jianchao Han","is_ca":false},{"name":"N. Cercone","is_ca":true},{"name":"Xiaohua Hu","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06173562002561792,"gpt":0.3275296771444546,"spread":0.2657940571188366,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007595615,0.001209282,0.001676851,0.007287832,0.001125425,0.003178595,0.003021741,0.00166742,0.001193304],"category_scores_gemma":[0.05717377,0.0006701359,0.0006598089,0.006049778,0.001418459,0.01187127,0.00271859,0.001387998,0.0004691187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002349899,"about_ca_system_score_gemma":0.001790837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002032214,"about_ca_topic_score_gemma":0.001826811,"domain_scores_codex":[0.989486,0.002059309,0.00206159,0.001633212,0.004138199,0.0006216003],"domain_scores_gemma":[0.9528996,0.01627982,0.008067179,0.009507083,0.01063993,0.002606421],"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":[0.00176694,0.0006525946,0.05382071,0.001211119,0.0006493515,0.0005761012,0.001188976,0.2134259,0.06090746,0.07878655,0.01102593,0.5759884],"study_design_scores_gemma":[0.0001100292,0.001612528,0.01870493,0.0001046538,0.0003443077,0.001428698,0.0003981417,0.8831835,0.03775228,0.03955235,0.01647544,0.0003331515],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.172333,0.002863503,0.8163314,0.0006410214,0.0002752438,0.000560433,0.001185021,0.002458274,0.0033521],"genre_scores_gemma":[0.7695138,0.0006289683,0.2258448,0.0001089244,0.0002856004,0.000394024,0.00130492,0.0003777265,0.001541344],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007595615,"threshold_uncertainty_score":0.04016989,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4240745962","doi":"10.1109/wi.2004.10054","title":"Examining Table Variations on Small Screen Devices","year":2005,"lang":"en","type":"article","venue":"IEEE/WIC/ACM International Conference on Web Intelligence (WI'04)","topic":"Usability and User Interface Design","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":"Dalhousie University","funders":"","keywords":"Mobile device; Computer science; Table (database); Focus (optics); Display size; World Wide Web; Table of contents; Web page; Transformation (genetics); Multimedia; Human–computer interaction; Database; Display device; Operating system","authors":[{"name":"Rui Zhang","is_ca":true},{"name":"C. Watters","is_ca":true},{"name":"J. Duffy","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1874415171930975,"gpt":0.3295869494220863,"spread":0.1421454322289887,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001004434,0.0004320526,0.0003306085,0.0009597524,0.0006217,0.002104503,0.0007738888,0.0005320459,0.00552905],"category_scores_gemma":[0.01750674,0.0003114895,0.0004227645,0.001583077,0.0006462368,0.0024698,0.001336774,0.0005351778,0.0006066357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005947106,"about_ca_system_score_gemma":0.000269181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002336907,"about_ca_topic_score_gemma":0.003452414,"domain_scores_codex":[0.9975964,0.001094619,0.0001425917,0.0003377336,0.0007067806,0.0001218701],"domain_scores_gemma":[0.9829735,0.01294478,0.001142844,0.001668246,0.001036835,0.0002338506],"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":[0.003558553,0.001226593,0.1127973,0.002168779,0.0002180947,0.005651924,0.08627198,0.01933969,0.1660397,0.01987558,0.009283075,0.5735688],"study_design_scores_gemma":[0.0003599424,0.00557082,0.4770907,0.0008881153,0.0006951171,0.007264963,0.06523747,0.1245951,0.1444457,0.01757653,0.1557373,0.0005382193],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9468935,0.000343307,0.0363591,0.0001622214,0.00003579427,0.0003346365,0.0004020325,0.0007019331,0.01476747],"genre_scores_gemma":[0.9781503,0.0001732175,0.01862246,0.00004765187,0.000007833716,0.00009990779,0.000340147,0.0001736055,0.002384946],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00552905,"threshold_uncertainty_score":0.01849651,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4248324198","doi":"10.1109/wi.2004.10059","title":"Improving Efficiency and Relevance Ranking in Information Retrieval","year":2005,"lang":"en","type":"article","venue":"IEEE/WIC/ACM International Conference on Web Intelligence (WI'04)","topic":"Information Retrieval and Search Behavior","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Dalhousie University","funders":"","keywords":"Ranking (information retrieval); Relevance (law); Computer science; Similarity (geometry); Computation; Information retrieval; Data mining; Ranking SVM; The Internet; Learning to rank; Artificial intelligence; Algorithm; World Wide Web","authors":[{"name":"Lei Dong","is_ca":true},{"name":"C. Watters","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04071136878458232,"gpt":0.305056982446959,"spread":0.2643456136623767,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01125337,0.001429723,0.002557002,0.004835652,0.001265568,0.003604028,0.002242333,0.002193314,0.002558648],"category_scores_gemma":[0.06070496,0.001101002,0.001246001,0.005173198,0.002170456,0.008751757,0.002286843,0.00187627,0.003680564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001955926,"about_ca_system_score_gemma":0.001869625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001924593,"about_ca_topic_score_gemma":0.001876654,"domain_scores_codex":[0.9786655,0.01274754,0.0009296252,0.001560602,0.005282394,0.0008143483],"domain_scores_gemma":[0.9583865,0.02924084,0.001869643,0.006053545,0.004195753,0.0002536403],"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":[0.0007543803,0.0005929025,0.003107495,0.0007049855,0.000201157,0.000187616,0.0005102358,0.09500716,0.02571911,0.1208073,0.01031069,0.7420969],"study_design_scores_gemma":[0.0003075304,0.0005797382,0.003859703,0.00007910855,0.0002288473,0.0005892309,0.0001797434,0.7540376,0.03453289,0.1899369,0.01552158,0.0001470365],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02752884,0.003569607,0.9602746,0.0009179354,0.0001094013,0.0002034107,0.00006868101,0.001507662,0.005819856],"genre_scores_gemma":[0.3267297,0.002481197,0.6617289,0.000363749,0.000666244,0.0002864506,0.000394011,0.0006879568,0.006661791],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01125337,"threshold_uncertainty_score":0.05951422,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4246166785","doi":"10.1109/wi.2004.10005","title":"Clustering Web Surfers with Probabilistic Models in a Real Application","year":2005,"lang":"en","type":"article","venue":"IEEE/WIC/ACM International Conference on Web Intelligence (WI'04)","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Open Text (Canada); York University","funders":"","keywords":"Cluster analysis; Computer science; Data mining; Probabilistic logic; Machine learning; Artificial intelligence","authors":[{"name":"Yang Liu","is_ca":true},{"name":"Aijun An","is_ca":true},{"name":"G. Promhouse","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07176416831107739,"gpt":0.3081671451329525,"spread":0.2364029768218751,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004689573,0.0007723052,0.001046067,0.00240616,0.0006810419,0.001391524,0.001811894,0.00205775,0.0006973858],"category_scores_gemma":[0.01180706,0.0007531468,0.0007933578,0.002382371,0.0006144705,0.002159577,0.000877763,0.001083808,0.0005825085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008227085,"about_ca_system_score_gemma":0.0005626169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009481924,"about_ca_topic_score_gemma":0.01104281,"domain_scores_codex":[0.9979748,0.0009431606,0.0001081907,0.0004821534,0.000377503,0.0001142814],"domain_scores_gemma":[0.9918084,0.005962847,0.0004649821,0.0008784918,0.000669083,0.0002162681],"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":[0.001033261,0.0007473604,0.04451797,0.0001949303,0.0002830495,0.0003786071,0.0009676927,0.8056198,0.008865206,0.002465907,0.002265258,0.132661],"study_design_scores_gemma":[0.00001185672,0.00006148852,0.002619216,0.00000379934,0.00001159386,0.00004375564,0.00009189589,0.994576,0.0009108229,0.00142054,0.0002371791,0.00001185511],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6434892,0.0003141589,0.3524152,0.0004542908,0.00002871703,0.0001172535,0.000293987,0.002144535,0.0007427256],"genre_scores_gemma":[0.8587921,0.0001508924,0.1388771,0.00006175414,0.00003593512,0.00007418459,0.0007342646,0.0001037085,0.001170048],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009481924,"threshold_uncertainty_score":0.02480114,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}