{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":4,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":4,"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":"d1d6321d76d1","filters":{"venue":"Brazilian Symposium on Databases"}},"results":[{"id":"W30607122","doi":"10.3747/co.25.4117","title":"Personalized Keyword Search with Partial-Order Preferences.","year":2002,"lang":"en","type":"article","venue":"Brazilian Symposium on Databases","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Computer science; Order (exchange); Information retrieval; Keyword search","authors":[{"name":"Achim Leubner","is_ca":false},{"name":"Werner Kießling","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04504363808569928,"gpt":0.2636945420906061,"spread":0.2186509040049068,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002076154,0.0007852176,0.002079504,0.002586558,0.001050948,0.002014867,0.001484079,0.001422794,0.01556094],"category_scores_gemma":[0.01137406,0.0005850111,0.001156664,0.005516102,0.0005907208,0.005615253,0.001885317,0.0006772875,0.004241438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001788594,"about_ca_system_score_gemma":0.003665117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02133489,"about_ca_topic_score_gemma":0.05994128,"domain_scores_codex":[0.9978078,0.0006275686,0.0002662272,0.0003871971,0.0006251882,0.0002860541],"domain_scores_gemma":[0.9950723,0.00315233,0.0002807746,0.0008499983,0.0003753254,0.0002692594],"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":[0.003864278,0.0006964718,0.01181705,0.002920793,0.0005825941,0.001297706,0.001103381,0.08863694,0.007337444,0.05959088,0.1329765,0.6891758],"study_design_scores_gemma":[0.0007069391,0.0006518217,0.005465548,0.0001934732,0.0004468534,0.002705557,0.001368017,0.6258889,0.007456981,0.2805023,0.07443476,0.0001788084],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2833292,0.01376711,0.5223787,0.00772966,0.000421081,0.002253602,0.09068899,0.01833679,0.06109483],"genre_scores_gemma":[0.6657028,0.002821968,0.2781681,0.0008867469,0.0001972346,0.0003973017,0.0316161,0.0005003404,0.01970946],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02133489,"threshold_uncertainty_score":0.05205649,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2913175468","doi":"","title":"Proceedings of the 23rd Brazilian symposium on Databases","year":2008,"lang":"en","type":"article","venue":"Brazilian Symposium on Databases","topic":"Advanced Database Systems and Queries","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Context (archaeology); Computer science; Database; Presentation (obstetrics); Latin Americans; Library science; World Wide Web; Political science; Geography","authors":[{"name":"Sandra de Amo","is_ca":false},{"name":"Ricardo da Silva Torres","is_ca":false},{"name":"Cecília M. F. Rubira","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02597160949349056,"gpt":0.259488498731684,"spread":0.2335168892381934,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005921847,0.001276299,0.002202962,0.003627789,0.001738756,0.01057378,0.002628269,0.002280479,0.1075578],"category_scores_gemma":[0.01051654,0.000760025,0.001819099,0.004012784,0.001310122,0.006617546,0.004448931,0.004026331,0.06425944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002656246,"about_ca_system_score_gemma":0.004921849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006013366,"about_ca_topic_score_gemma":0.005101979,"domain_scores_codex":[0.9942018,0.00127187,0.0008201405,0.0008447737,0.00247311,0.0003882558],"domain_scores_gemma":[0.9919332,0.001314315,0.0003161928,0.001708489,0.003703774,0.001024143],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001477084,0.00008846963,0.00110236,0.0007848435,0.00009831586,0.0002058209,0.0003945282,0.0003624594,0.002646903,0.03201894,0.7097315,0.252418],"study_design_scores_gemma":[0.000004757907,0.0000143042,0.0002529864,0.0001492795,0.00001372373,0.0001291485,0.00006053467,0.0002522191,0.0002495621,0.002292036,0.9965731,0.000008286304],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.006517047,0.2286041,0.1038684,0.04863131,0.08629588,0.001227426,0.01394138,0.006244267,0.5046701],"genre_scores_gemma":[0.04273668,0.127724,0.09946937,0.01145502,0.02434221,0.000801236,0.03010294,0.003604544,0.659764],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1075578,"threshold_uncertainty_score":0.3598167,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W30283385","doi":"10.3389/fpsyg.2018.01740","title":"Computing data cubes without redundant aggregated nodes and single graph paths: the sequential MCG approach","year":2008,"lang":"en","type":"article","venue":"Brazilian Symposium on Databases","topic":"Advanced Database Systems and Queries","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Canadian Institutes of Health Research","keywords":"Cuboid; Cube (algebra); Data cube; Computer science; Computation; Tuple; Graph; Hypercube; Base (topology); Algorithm; Reduction (mathematics); Theoretical computer science; Combinatorics; Mathematics; Discrete mathematics; Data mining; Parallel computing","authors":[{"name":"Joubert de Castro Lima","is_ca":false},{"name":"Celso Massaki Hirata","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07017860466193648,"gpt":0.282689483014899,"spread":0.2125108783529625,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003038349,0.001739918,0.002329467,0.004536993,0.00118546,0.002845853,0.004679103,0.001387064,0.00478009],"category_scores_gemma":[0.01603134,0.00162249,0.002963739,0.006752585,0.00189756,0.004383706,0.004602864,0.001737055,0.0009806836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001459453,"about_ca_system_score_gemma":0.003124398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02727493,"about_ca_topic_score_gemma":0.04597295,"domain_scores_codex":[0.9975963,0.0007857338,0.0002006939,0.0006475527,0.0005110662,0.0002585678],"domain_scores_gemma":[0.9899829,0.006064015,0.0007786609,0.001643964,0.001154977,0.0003754814],"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":[0.000677874,0.0002832531,0.01138449,0.001071194,0.0006102443,0.0006305142,0.0008497443,0.553055,0.004188432,0.04875606,0.007961215,0.370532],"study_design_scores_gemma":[0.00005748782,0.00009457661,0.0008800579,0.00004828497,0.0000794454,0.00009165892,0.0002278117,0.9281982,0.0008158992,0.06596818,0.003511298,0.00002709699],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01434127,0.000390318,0.9810159,0.00032852,0.0000471489,0.0002128231,0.000872975,0.00172272,0.001068325],"genre_scores_gemma":[0.09193062,0.0002954294,0.9040697,0.0001252227,0.00006197204,0.0003284849,0.002006873,0.0002686137,0.0009131523],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02727493,"threshold_uncertainty_score":0.05423236,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W88109437","doi":"","title":"A Tutorial on Social Network Analysis for Database Practitioners.","year":2009,"lang":"en","type":"article","venue":"Brazilian Symposium on Databases","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Visibility; Social network analysis; Data science; Social network (sociolinguistics); Network analysis; Network science; World Wide Web; Complex network; Social media","authors":[{"name":"Denilson Barbosa","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03519003957862123,"gpt":0.316314964171178,"spread":0.2811249245925568,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001585418,0.001812831,0.001028652,0.004326598,0.0008193877,0.002769464,0.001296793,0.00210314,0.04737416],"category_scores_gemma":[0.006561053,0.0007522208,0.0009775572,0.006064171,0.000713609,0.008258161,0.001904383,0.00228518,0.02610918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001006198,"about_ca_system_score_gemma":0.001058648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001066645,"about_ca_topic_score_gemma":0.001975183,"domain_scores_codex":[0.999189,0.0003212387,0.00007547244,0.00009529417,0.0002600691,0.00005901975],"domain_scores_gemma":[0.9969194,0.002293266,0.000115867,0.0001248723,0.000358849,0.0001876599],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002502866,0.0001004567,0.0004946215,0.001374656,0.00004084007,0.0002882255,0.0006925737,0.0013484,0.001266156,0.06636751,0.6867603,0.2412412],"study_design_scores_gemma":[0.000007181883,0.00002328306,0.0004913235,0.0004125623,0.00001274051,0.0006081454,0.0002509992,0.001894837,0.0001651361,0.05567452,0.9404435,0.00001574738],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003236743,0.2999289,0.4762363,0.03778651,0.01078612,0.0006202356,0.006836742,0.007814896,0.1567535],"genre_scores_gemma":[0.02502202,0.3257626,0.41459,0.0217528,0.01757918,0.001851296,0.0126225,0.002850481,0.1779691],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04737416,"threshold_uncertainty_score":0.1584824,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}