{"meta":{"query_hash":"c5c4230bd2f8","filters":{"venue":"Journal of Emerging Technologies in Web Intelligence"},"cohort_total":4,"direct_labels_cover":0,"predictions_cover":4,"exported":4,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/c5c4230bd2f8","api":"https://metacan.xera.ac/api/v1/cohort?venue=Journal+of+Emerging+Technologies+in+Web+Intelligence"},"results":[{"id":"W1968722188","doi":"10.4304/jetwi.1.2.119-128","title":"An Agent-based Knowledge Management Framework for Electronic Health Record Interoperability","year":2009,"lang":"en","type":"article","venue":"Journal of Emerging Technologies in Web Intelligence","topic":"Multi-Agent Systems and Negotiation","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Computer science; Interoperability; Electronic health record; Knowledge management; Health records; Data science; World Wide Web; Health care","score_opus":0.038442127083680076,"score_gpt":0.3618654615587959,"score_spread":0.32342333447511584,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1968722188","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.027299058,0.0013749283,0.9661062,0.003844782,0.0007060961,0.00038454478,6.405611e-7,0.0002338482,0.0000499458],"genre_scores_gemma":[0.7819717,0.0007218814,0.21712649,0.00012294392,0.000031691237,0.000012133522,3.5436057e-7,0.0000061947917,0.0000066070893],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99785763,0.000119645585,0.000961491,0.00035890425,0.00022273387,0.0004795667],"domain_scores_gemma":[0.99831825,0.00013446322,0.0006028113,0.0007237624,0.0001674637,0.000053264324],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018475597,0.00018101955,0.00034447413,0.0006158273,0.000104528954,0.00008550029,0.0020080863,0.00012788961,0.0000041107533],"category_scores_gemma":[0.0002795459,0.00015442753,0.00013259257,0.0007490106,0.000044702465,0.0004254632,0.000100319674,0.00049710495,0.000004068145],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003639172,0.00036683347,0.00082249346,0.00007159095,0.000016231497,0.000006476074,0.00053193234,0.0014033659,0.00025502595,0.12533772,0.0002174484,0.8709345],"study_design_scores_gemma":[0.00073120877,0.0065230485,0.0015382846,0.0022390375,0.000018383555,0.00003228563,0.004976705,0.65044737,0.018862853,0.29599538,0.017866785,0.0007686777],"about_ca_topic_score_codex":0.0000048907095,"about_ca_topic_score_gemma":0.000041269766,"teacher_disagreement_score":0.8701658,"about_ca_system_score_codex":0.00052491145,"about_ca_system_score_gemma":0.00015742567,"threshold_uncertainty_score":0.6297372},"labels":[],"label_agreement":null},{"id":"W1990582178","doi":"10.4304/jetwi.4.3.207-220","title":"Query Classification using Wikipedia’s Category Graph","year":2012,"lang":"en","type":"article","venue":"Journal of Emerging Technologies in Web Intelligence","topic":"Text and Document Classification Technologies","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University; University of Waterloo","funders":"","keywords":"Computer science; Information retrieval; Graph; Artificial intelligence; Theoretical computer science","score_opus":0.06849810695475955,"score_gpt":0.32776206232280003,"score_spread":0.2592639553680405,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1990582178","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16976772,0.0052089836,0.81831473,0.0036437234,0.0014509856,0.00014696199,5.953687e-7,0.0009004507,0.00056586135],"genre_scores_gemma":[0.91477495,0.0019940373,0.0831204,0.000028862032,0.00004745817,0.0000075094727,2.2757197e-7,0.000010108827,0.000016424548],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9978783,0.00006130955,0.0009163771,0.00024252778,0.0004060814,0.00049541757],"domain_scores_gemma":[0.99797845,0.00016904893,0.0008185911,0.00078324025,0.00019967664,0.000051003884],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011844198,0.00020404595,0.00029377438,0.0015110269,0.00009741636,0.000092142705,0.002496358,0.00025601155,0.000008717761],"category_scores_gemma":[0.0009118887,0.0001767101,0.00012065922,0.0017480328,0.00028408665,0.0019251581,0.00046442618,0.00067230733,0.000015503294],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000149289535,0.00030308502,0.04964181,0.000034269797,0.000036881618,0.000022223809,0.0010024124,0.0005730504,0.029989092,0.48044255,0.0010475212,0.43689218],"study_design_scores_gemma":[0.00057645934,0.0005146806,0.0086958,0.00062062807,0.000069208334,0.0007250963,0.045418635,0.09206907,0.363535,0.46035752,0.0255964,0.0018215033],"about_ca_topic_score_codex":0.00000738293,"about_ca_topic_score_gemma":0.0000038861044,"teacher_disagreement_score":0.7450072,"about_ca_system_score_codex":0.00023236204,"about_ca_system_score_gemma":0.00012924138,"threshold_uncertainty_score":0.72060287},"labels":[],"label_agreement":null},{"id":"W2009275125","doi":"10.4304/jetwi.2.3.160-166","title":"A Novel Class-Based Data Fusion Technique for Information Retrieval","year":2010,"lang":"en","type":"article","venue":"Journal of Emerging Technologies in Web Intelligence","topic":"Text and Document Classification Technologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Class (philosophy); Information retrieval; Fusion; Artificial intelligence; Data mining","score_opus":0.04809799884645045,"score_gpt":0.3307790280869064,"score_spread":0.28268102924045596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2009275125","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0038498251,0.00008158377,0.98566157,0.0085392585,0.0007284226,0.00038382845,0.000012335875,0.00063901884,0.00010416498],"genre_scores_gemma":[0.570331,0.00012097148,0.42945692,0.000044703313,0.000015854293,0.000016972572,0.0000038958806,0.000005189224,0.000004486077],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9980687,0.000013980003,0.0009571794,0.00026825373,0.0003927732,0.00029912597],"domain_scores_gemma":[0.9967816,0.000321768,0.0008614131,0.0015958722,0.0004104909,0.000028852735],"candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.0018268075,0.00017668892,0.00025277512,0.0013312686,0.00010236985,0.00017575252,0.0060636047,0.00035405395,0.0000050681465],"category_scores_gemma":[0.0052441284,0.00014924507,0.00007938097,0.0013828146,0.00022336298,0.002424024,0.0010394942,0.00093446614,0.0000049218074],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000092821734,0.00019851909,0.0005790189,0.000064159234,0.000015915957,0.0000061371634,0.000135312,0.00036349066,0.3824166,0.17883097,0.0020936048,0.43520343],"study_design_scores_gemma":[0.000385427,0.00035683188,0.00006847393,0.00016733665,0.000009216999,0.00008021516,0.0010276382,0.16977824,0.7067143,0.04388866,0.077186026,0.00033766017],"about_ca_topic_score_codex":0.0000023754135,"about_ca_topic_score_gemma":0.000014097027,"teacher_disagreement_score":0.5664812,"about_ca_system_score_codex":0.000079573576,"about_ca_system_score_gemma":0.0002670889,"threshold_uncertainty_score":0.99931407},"labels":[],"label_agreement":null},{"id":"W2088212842","doi":"10.4304/jetwi.1.2.137-145","title":"Toward Web-based Careflow Management Systems","year":2009,"lang":"en","type":"article","venue":"Journal of Emerging Technologies in Web Intelligence","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Computer science; World Wide Web","score_opus":0.03308531121238847,"score_gpt":0.28886338669593137,"score_spread":0.2557780754835429,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2088212842","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.041787054,0.008796081,0.929619,0.012242724,0.0025692875,0.00031372212,9.329101e-7,0.0011424907,0.0035286692],"genre_scores_gemma":[0.9079611,0.0014646545,0.09041132,0.00010289172,0.000027696999,0.0000052006403,1.0331106e-7,0.000005730071,0.000021343509],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99779654,0.000057966892,0.00086024497,0.00031600255,0.0005161891,0.0004530606],"domain_scores_gemma":[0.99845904,0.000137575,0.00043975146,0.00074360054,0.000179633,0.00004036937],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000862907,0.00022514244,0.000416682,0.0010514732,0.00006311661,0.00015299866,0.0034412404,0.00016295604,0.0000021115898],"category_scores_gemma":[0.0003512955,0.00018055568,0.00013983443,0.001145353,0.0001171547,0.00040793885,0.0002928189,0.00048441658,0.000008868293],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044915345,0.00025609235,0.0029706806,0.00013764082,0.000064535045,0.0020799083,0.00047828123,0.028870929,0.0012450176,0.17142555,0.0024078956,0.79001856],"study_design_scores_gemma":[0.0015654315,0.0023937186,0.0020829935,0.003307936,0.00007779244,0.0008722909,0.01992132,0.7245726,0.056135952,0.15675108,0.030630995,0.0016878974],"about_ca_topic_score_codex":0.0000055139494,"about_ca_topic_score_gemma":0.000006021652,"teacher_disagreement_score":0.866174,"about_ca_system_score_codex":0.00017571547,"about_ca_system_score_gemma":0.000107285305,"threshold_uncertainty_score":0.7362847},"labels":[],"label_agreement":null}]}