{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":288,"total_is_capped":false,"direct_labels_cover":1,"predictions_cover":288,"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":"e02051ed7218","filters":{"venue":"IEEE Transactions on Visualization and Computer Graphics"}},"results":[{"id":"W2142493242","doi":"10.1109/tvcg.2009.111","title":"A Nested Model for Visualization Design and Validation","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Visualization and Computer Graphics","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":899,"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":"Computer science; Visualization; Data visualization; Domain (mathematical analysis); Focus (optics); Vocabulary; Visual analytics; Task (project management); Data mining; Data modeling; Upstream (networking); Information visualization; Creative visualization; Data science; Human–computer interaction; Machine learning; Software engineering; Systems engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.04481429713190511,"gpt":0.3127659514960759,"spread":0.2679516543641708,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003289182,0.0002374559,0.0002092103,0.000482221,0.0004246107,0.0004659212,0.0002162535,0.0001329877,0.000002153149],"category_scores_gemma":[0.000007134483,0.0002466437,0.00006339836,0.0008111274,0.00004904002,0.0008062627,0.000004088774,0.00007919016,0.000001727843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001939472,"about_ca_system_score_gemma":0.00005164849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001662511,"about_ca_topic_score_gemma":0.000001725009,"domain_scores_codex":[0.9985013,0.000122064,0.0003750822,0.0005158244,0.0002664405,0.000219269],"domain_scores_gemma":[0.9990599,0.0001189538,0.0001331362,0.0002812232,0.0002568809,0.0001499732],"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":[0.00002490428,0.0002418825,0.000006916378,0.00002828663,0.00002263667,5.669662e-7,0.0008416979,0.03157609,0.00005563272,0.9515345,0.0004106765,0.01525627],"study_design_scores_gemma":[0.0007914663,0.000381751,0.00005025267,0.00003547006,0.00003616482,0.000009250825,0.00001028289,0.9893894,0.001673134,0.007086163,0.0002552147,0.0002814922],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0007380386,0.00002357207,0.9980259,0.0001492778,0.0001900493,0.0005133341,0.00001270375,0.000339076,0.00000802775],"genre_scores_gemma":[0.9487202,0.000543943,0.04543097,0.004913201,0.00005870572,0.00004597572,0.00008662784,0.00003332432,0.000167092],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9578133,"threshold_uncertainty_score":0.9999986,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1970569592","doi":"10.1109/tvcg.2012.213","title":"Design Study Methodology: Reflections from the Trenches and the Stacks","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Visualization and Computer Graphics","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":835,"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; University of British Columbia Hospital","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Visualization; CLARITY; Field (mathematics); Data science; Domain (mathematical analysis); Management science; Human–computer interaction; Data visualization; Design methods; Software engineering; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.1596986980391169,"gpt":0.3767722830429787,"spread":0.2170735850038618,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001257763,0.000186786,0.000199855,0.0001534402,0.0008848676,0.0003731873,0.0003699793,0.00007273253,0.00001054536],"category_scores_gemma":[0.00001374599,0.0001136516,0.00005750493,0.0008528982,0.000235057,0.0004603219,0.00001539284,0.0002010896,0.000004665239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001071025,"about_ca_system_score_gemma":0.00002593945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008232726,"about_ca_topic_score_gemma":0.00007251757,"domain_scores_codex":[0.9974684,0.001466668,0.0002916324,0.0003130717,0.0002536672,0.0002065368],"domain_scores_gemma":[0.9978439,0.001406087,0.0001045054,0.0004546417,0.00008906471,0.0001018302],"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":[0.00005415201,0.0007107545,0.0005780976,0.000005789625,0.0002631907,8.452487e-7,0.02652487,0.0006848944,0.000008542286,0.9569142,0.0008038846,0.01345081],"study_design_scores_gemma":[0.001711423,0.0002501414,0.002040927,0.00001476233,0.0001711572,0.00001483099,0.001039044,0.9875128,0.0002982402,0.003704934,0.002974513,0.0002671708],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001815856,0.0001565842,0.9963673,0.0004759838,0.000625392,0.0003850525,0.000009487941,0.000146471,0.00001782985],"genre_scores_gemma":[0.9852419,0.0005842086,0.009859812,0.004031136,0.0001360072,0.00005386493,0.00000818564,0.00001752827,0.0000673427],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.986828,"threshold_uncertainty_score":0.6805775,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2073800769","doi":"10.1109/tvcg.2013.124","title":"A Multi-Level Typology of Abstract Visualization Tasks","year":2013,"lang":"en","type":"article","venue":"IEEE Transactions on Visualization and Computer Graphics","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":756,"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","keywords":"Computer science; Visualization; Typology; Task (project management); Human–computer interaction; Domain (mathematical analysis); Information visualization; Data visualization; Interdependence; Data science; Scope (computer science); Task analysis; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.04654491311054944,"gpt":0.3137079527171145,"spread":0.2671630396065651,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001798705,0.0002375738,0.0002707332,0.0005971082,0.0002107569,0.0002003061,0.0003922268,0.0001673912,0.00009451968],"category_scores_gemma":[0.000006987369,0.0002353784,0.0000974412,0.001059492,0.0001375103,0.0007272831,0.00001116522,0.0001348829,0.00003987053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000171422,"about_ca_system_score_gemma":0.00005386448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006490198,"about_ca_topic_score_gemma":0.00002549528,"domain_scores_codex":[0.9983369,0.0001078881,0.0005495228,0.0004475622,0.00031873,0.0002393875],"domain_scores_gemma":[0.9987118,0.00009841492,0.0002285552,0.0004178619,0.0003896923,0.0001536951],"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":[0.000008116483,0.0009087626,0.0002144157,0.00009623218,0.0000965198,0.000002129823,0.0009711575,0.0006732002,0.0003730213,0.9768182,0.001170824,0.0186674],"study_design_scores_gemma":[0.0007027417,0.0001985009,0.003844776,0.00004553764,0.00002092499,0.00001095378,0.00004877562,0.9909793,0.002703412,0.0006157099,0.0005572788,0.0002720556],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004662497,0.00002340733,0.9942157,0.00006497451,0.0004701551,0.0002724805,0.00002861526,0.0002039787,0.00005823128],"genre_scores_gemma":[0.9902353,0.0002877038,0.007729546,0.001473188,0.00003597268,0.00002545709,0.00004210432,0.00002624593,0.0001444508],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9903061,"threshold_uncertainty_score":0.9598453,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2058203255","doi":"10.1109/tvcg.2011.279","title":"Empirical Studies in Information Visualization: Seven Scenarios","year":2011,"lang":"en","type":"article","venue":"IEEE Transactions on Visualization and Computer Graphics","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":628,"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":"Visualization; Computer science; Information visualization; Data visualization; Visual analytics; Data science; Creative visualization; Empirical research; Human–computer interaction; Information retrieval; Data mining","retraction":null,"screen_n_in":null,"score":{"opus":0.08538256592749338,"gpt":0.3483762672902525,"spread":0.2629937013627591,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003290067,0.0002487505,0.0002637701,0.0009228198,0.0002502299,0.0001973062,0.0003556386,0.0001363736,0.00002184548],"category_scores_gemma":[0.0000108918,0.0002448816,0.00007175597,0.001838592,0.0001280248,0.001833224,0.0000157491,0.0001630479,0.00003022708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004621654,"about_ca_system_score_gemma":0.00006334124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001623215,"about_ca_topic_score_gemma":0.0000370673,"domain_scores_codex":[0.9982243,0.0001815179,0.000599477,0.0003690448,0.0003734313,0.0002522493],"domain_scores_gemma":[0.9989887,0.0000771616,0.0001541587,0.0003564184,0.0002907298,0.0001327911],"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":[0.00002901871,0.000600701,0.001169472,0.0001196357,0.00009656881,0.00001078039,0.02539153,0.0007962908,0.000001488215,0.9617701,0.001321261,0.008693129],"study_design_scores_gemma":[0.0007895969,0.0002430693,0.001008592,0.00009807009,0.00002009861,0.00002240443,0.0003679912,0.9923158,0.0003744373,0.001750988,0.002652081,0.0003568946],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003223642,0.0000413799,0.9953687,0.00005445843,0.0006718439,0.0002226606,0.000009102617,0.0002814145,0.0001267528],"genre_scores_gemma":[0.9903392,0.0009599227,0.003144947,0.005352682,0.00004566199,0.00003543221,0.00003588556,0.00002122526,0.00006508933],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9922238,"threshold_uncertainty_score":0.9985983,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2111347866","doi":"10.1109/tvcg.2007.70582","title":"NodeTrix: a Hybrid Visualization of Social Networks","year":2007,"lang":"en","type":"article","venue":"IEEE Transactions on Visualization and Computer Graphics","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":553,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto; Ontario Institute for Cancer Research","funders":"","keywords":"Computer science; Visualization; Representation (politics); Data visualization; Set (abstract data type); Key (lock); Social network analysis; Adjacency matrix; Node (physics); Data science; Theoretical computer science; Adjacency list; Information visualization; Graph drawing; Data mining; World Wide Web; Graph; Social media; Algorithm; Programming language","retraction":null,"screen_n_in":null,"score":{"opus":0.01199413693648282,"gpt":0.286755499340916,"spread":0.2747613624044332,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002671724,0.0001743014,0.0002378625,0.0003969513,0.0002615622,0.00004687,0.00009745642,0.00005983523,0.00008370995],"category_scores_gemma":[3.31343e-7,0.0001891162,0.0001553408,0.0008651665,0.00008689232,0.0001081476,0.00000304692,0.0001249163,0.000001105225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001291208,"about_ca_system_score_gemma":0.00001407377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000335199,"about_ca_topic_score_gemma":0.00001286691,"domain_scores_codex":[0.9988576,0.00006801195,0.0004195385,0.0002455209,0.0002127485,0.0001965376],"domain_scores_gemma":[0.999358,0.00008144764,0.0001792885,0.0001378221,0.0001778952,0.00006552538],"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":[0.00006186395,0.0005797622,0.002314609,0.00002213848,0.0002132767,9.279936e-7,0.0005134909,0.00259541,0.00003942327,0.9558716,0.0006672225,0.03712025],"study_design_scores_gemma":[0.0004988797,0.0001369003,0.001592499,0.00003014925,0.0001041179,0.00000111643,0.00005074159,0.9890976,0.005219771,0.002177837,0.0008202126,0.0002701791],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03150703,0.00001330967,0.9678363,0.000006470406,0.0001559645,0.0001523825,0.000009625787,0.000112143,0.0002068299],"genre_scores_gemma":[0.9992326,0.00002035937,0.000277546,0.0001619415,0.0001974403,0.000007610346,0.00004634504,0.00002431265,0.00003184799],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9865022,"threshold_uncertainty_score":0.7711934,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2159996805","doi":"10.1109/tvcg.2004.1260759","title":"Human factors in visualization research","year":2004,"lang":"en","type":"review","venue":"IEEE Transactions on Visualization and Computer Graphics","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":411,"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":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Visualization; Data visualization; Data science; Human–computer interaction; Data mining","retraction":null,"screen_n_in":null,"score":{"opus":0.1304299444472429,"gpt":0.4307225084563189,"spread":0.3002925640090761,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008772931,0.0006353078,0.001089233,0.00371966,0.0006744633,0.0008113055,0.001024656,0.0005888409,0.00002267719],"category_scores_gemma":[0.00001006049,0.000601919,0.000308334,0.005612562,0.0002001489,0.0006863149,0.00003106438,0.0008247856,0.00003090928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002450748,"about_ca_system_score_gemma":0.0003584216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006515008,"about_ca_topic_score_gemma":0.00008060316,"domain_scores_codex":[0.9953064,0.0008979316,0.001140806,0.001165376,0.0009295896,0.0005598858],"domain_scores_gemma":[0.998055,0.0002393912,0.0003138751,0.0008320544,0.0003063571,0.000253261],"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":[0.000001022786,0.0005229319,0.000003365892,0.002784243,0.00006448561,0.00001131928,0.0006048907,0.0001305873,1.020619e-7,0.9326023,0.0001493633,0.06312541],"study_design_scores_gemma":[0.001723342,0.0009429154,0.00002778738,0.02164925,0.000298075,0.00005535203,0.0001024836,0.3821353,0.00005128178,0.004717525,0.5857489,0.00254783],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.00000825892,0.1149693,0.8834398,0.000006329975,0.0005503432,0.0006589395,0.00003610743,0.0002896145,0.0000412773],"genre_scores_gemma":[0.001741676,0.9972024,0.0002333084,0.0001474863,0.00007921191,0.00007222114,0.0002554495,0.00009694245,0.0001713187],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.9278848,"threshold_uncertainty_score":0.9996432,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2049012614","doi":"10.1109/tvcg.2011.127","title":"Attention and Visual Memory in Visualization and Computer Graphics","year":2011,"lang":"en","type":"review","venue":"IEEE Transactions on Visualization and Computer Graphics","topic":"Visual Attention and Saliency Detection","field":"Computer Science","cited_by":386,"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":"Visual analytics; Visualization; Computer science; Interactive visual analysis; Information visualization; Perception; Computer graphics; Data visualization; Graphics; Visual perception; Relevance (law); Scientific visualization; Cultural analytics; Human–computer interaction; Artificial intelligence; Computer graphics (images); Psychology","retraction":null,"screen_n_in":null,"score":{"opus":0.04037825440889553,"gpt":0.3184131841720883,"spread":0.2780349297631928,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006455604,0.0008249698,0.001189478,0.002426728,0.0005398826,0.0005722628,0.0003458596,0.0007141799,0.000010789],"category_scores_gemma":[0.000004079393,0.0008159258,0.0003093013,0.002243108,0.0002578046,0.0009364954,0.00004295468,0.0006412084,0.00001138283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006654767,"about_ca_system_score_gemma":0.00008943588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005767942,"about_ca_topic_score_gemma":0.00008803438,"domain_scores_codex":[0.9956464,0.0007563379,0.001216242,0.001434048,0.0004756073,0.0004714176],"domain_scores_gemma":[0.9984161,0.0001727744,0.0004981086,0.0004109907,0.0002073769,0.0002947065],"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":[0.00001504064,0.0005248266,0.00002853338,0.002627393,0.0001315642,0.00001120024,0.0007280245,0.000006724873,4.684591e-7,0.3046214,0.0000539042,0.6912509],"study_design_scores_gemma":[0.001378043,0.001118987,0.0004580748,0.003849364,0.0003742774,0.0002919988,0.00003891402,0.9509762,0.0000113269,0.0007362601,0.03929107,0.001475505],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.0004168819,0.11616,0.8808281,0.000008434302,0.001349599,0.0008648231,0.00001278358,0.0003420416,0.00001735382],"genre_scores_gemma":[0.008314713,0.990275,0.0004264307,0.0004905343,0.0001444868,0.0001183874,0.00006394662,0.0000918054,0.00007464198],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.9509695,"threshold_uncertainty_score":0.9994292,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2888652842","doi":"10.1109/tvcg.2018.2864903","title":"What Do We Talk About When We Talk About Dashboards?","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Visualization and Computer Graphics","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":374,"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":"Natural Sciences and Engineering Research Council of Canada; Simon Fraser University; Microsoft Research","keywords":"Computer science; Dashboard; Visualization; Documentation; Data science; Data visualization; Scope (computer science); Construct (python library); Human–computer interaction; Data mining","retraction":null,"screen_n_in":null,"score":{"opus":0.02315087006402491,"gpt":0.2974119943575383,"spread":0.2742611242935135,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.000312753,0.0004214527,0.0003576109,0.000735614,0.0007255534,0.001981026,0.0008020166,0.0002299741,0.0001617098],"category_scores_gemma":[0.00000447498,0.0004184032,0.0001735553,0.001461746,0.0003210585,0.002221485,0.00002852648,0.0002552167,0.00008232387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003804826,"about_ca_system_score_gemma":0.00008535756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001913249,"about_ca_topic_score_gemma":0.00007521549,"domain_scores_codex":[0.9971976,0.0002037024,0.0006092679,0.0008774642,0.0006685198,0.0004434932],"domain_scores_gemma":[0.9980775,0.0001018896,0.0002167622,0.0008411487,0.0004439546,0.0003187087],"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":[0.00002906009,0.0006822934,0.00002894219,0.0001205127,0.000171684,0.00001822414,0.006165954,0.0002813627,0.00006603046,0.8422444,0.006751694,0.1434398],"study_design_scores_gemma":[0.0008503002,0.0004022163,0.00007020355,0.0004411901,0.00005078607,0.00004482607,0.0001672704,0.8500375,0.002391901,0.004353089,0.1406022,0.0005885758],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001169766,0.000698371,0.9934316,0.0007011403,0.003072344,0.0002748678,0.00003300214,0.0005280989,0.00009085403],"genre_scores_gemma":[0.9073662,0.06407929,0.01116642,0.01319581,0.001162107,0.00008295398,0.0001184703,0.000180896,0.002647914],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9822651,"threshold_uncertainty_score":0.9998268,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2152621157","doi":"10.1109/tvcg.2009.122","title":"Bubble Sets: Revealing Set Relations with Isocontours over Existing Visualizations","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Visualization and Computer Graphics","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":311,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary; Canadian College of Osteopathy; University of Toronto","funders":"","keywords":"Computer science; Relation (database); Visualization; Set (abstract data type); Data visualization; Data mining; Data set; Variety (cybernetics); Cluster (spacecraft); Theoretical computer science; Artificial intelligence; Programming language","retraction":null,"screen_n_in":null,"score":{"opus":0.03096161451637338,"gpt":0.3145584165828178,"spread":0.2835968020664444,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002766187,0.0003284914,0.0002794374,0.0006236508,0.0008651345,0.0005924395,0.0003802364,0.0001470941,0.00002967692],"category_scores_gemma":[0.000008080968,0.0003173662,0.00009166464,0.002021723,0.00008938037,0.001071611,0.000007060763,0.000235446,0.0000136977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004761602,"about_ca_system_score_gemma":0.00008164244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001902259,"about_ca_topic_score_gemma":0.00004006243,"domain_scores_codex":[0.9978555,0.0001597015,0.0005115971,0.0006379035,0.0004893373,0.0003459442],"domain_scores_gemma":[0.998615,0.0001274767,0.0002170957,0.0005146891,0.0002956873,0.0002300137],"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":[0.00001281637,0.0003764847,0.0001598736,0.00002049066,0.00005843565,0.000007170771,0.001413016,0.00540439,0.00001208358,0.9854831,0.001436977,0.005615133],"study_design_scores_gemma":[0.0009621906,0.0003874254,0.0005193428,0.0001238744,0.00005383301,0.00002966024,0.00007355207,0.9921466,0.0002410814,0.0019269,0.003086412,0.0004491331],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002486774,0.00003449037,0.995688,0.0003183896,0.0002593035,0.000284414,0.000033581,0.0005756349,0.000319466],"genre_scores_gemma":[0.9826863,0.0001940956,0.01080246,0.005628024,0.00008581358,0.00002055155,0.0001203861,0.00004234632,0.0004200574],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9867422,"threshold_uncertainty_score":0.9999278,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2132068130","doi":"10.1109/tvcg.2011.144","title":"A Survey of Visualization Systems for Network Security","year":2011,"lang":"en","type":"article","venue":"IEEE Transactions on Visualization and Computer Graphics","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":277,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of New Brunswick","funders":"","keywords":"Visualization; Computer science; Data visualization; Data science; Information visualization; Network security; Visual analytics; Table (database); Creative visualization; Data mining; Computer security","retraction":null,"screen_n_in":null,"score":{"opus":0.0549474450495887,"gpt":0.3004989653267069,"spread":0.2455515202771182,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006699291,0.0002122702,0.0003004374,0.0003303783,0.0002487304,0.0001421018,0.0003626362,0.0001370929,0.000007581022],"category_scores_gemma":[0.00000975621,0.0002169371,0.00008732555,0.001389171,0.00008311067,0.0004248987,0.000008146394,0.00007933138,0.000002230611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001263374,"about_ca_system_score_gemma":0.00005860746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001478371,"about_ca_topic_score_gemma":0.0000748637,"domain_scores_codex":[0.9982263,0.0002705489,0.0005565272,0.0004243873,0.0002831538,0.0002390776],"domain_scores_gemma":[0.9984597,0.0001768867,0.0002606151,0.0003888237,0.0005878821,0.0001260666],"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":[0.00002992836,0.0003616587,0.0005661386,0.000114969,0.00007312182,5.324421e-7,0.001030883,0.001253959,0.000001336321,0.9944712,0.0008605401,0.001235734],"study_design_scores_gemma":[0.0005265302,0.0003429985,0.001344911,0.00006382397,0.00002978853,0.000003780523,0.00001686737,0.9952909,0.0002974265,0.00115819,0.000687778,0.0002370547],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001070871,0.0001246588,0.9971391,0.000003965857,0.0009576689,0.0003953893,0.0000833983,0.0001810645,0.00004390837],"genre_scores_gemma":[0.9973131,0.0006321354,0.001405607,0.0004062691,0.00005070066,0.00003441748,0.00009384098,0.00002768262,0.00003626202],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9962422,"threshold_uncertainty_score":0.8846439,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2156440763","doi":"10.1109/tvcg.2010.164","title":"How Information Visualization Novices Construct Visualizations","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Visualization and Computer Graphics","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":270,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Victoria","funders":"","keywords":"Visualization; Computer science; Visual analytics; Data visualization; Information visualization; Construct (python library); Human–computer interaction; Process (computing); Interactive visual analysis; Heuristics; Software visualization; Bar chart; Data science; Data mining; Software; Software development; Programming language; Component-based software engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.01267559004537154,"gpt":0.2681414677359401,"spread":0.2554658776905686,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0003064115,0.0003828122,0.0002916639,0.001076164,0.0007558108,0.002083575,0.0005797386,0.0002651828,0.00003766501],"category_scores_gemma":[0.00002274445,0.0003913818,0.0001207618,0.002073256,0.0002093288,0.00390924,0.00001809993,0.0003279582,0.00002961987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002217727,"about_ca_system_score_gemma":0.00009867761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001472526,"about_ca_topic_score_gemma":0.00006139979,"domain_scores_codex":[0.9977759,0.0001398495,0.0005706666,0.0005366821,0.0006250213,0.0003518392],"domain_scores_gemma":[0.9980662,0.0001252432,0.0003154486,0.0006301317,0.0005839462,0.0002790206],"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":[0.000006021706,0.0001689803,0.0001225436,0.00004323874,0.00004030999,0.000001202909,0.0006510151,0.0001503162,0.0000763858,0.9848283,0.0003999916,0.01351172],"study_design_scores_gemma":[0.0007758422,0.0001651482,0.0001997805,0.00002951863,0.00003727332,0.00004252974,0.000103093,0.970668,0.002728531,0.001344247,0.02341588,0.0004901981],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002984443,0.00000995581,0.9937257,0.000262682,0.001744784,0.0003471243,0.00005355387,0.0007133778,0.0001584138],"genre_scores_gemma":[0.9905159,0.000217069,0.004875968,0.003831345,0.0001361582,0.00003894437,0.0002130867,0.00003752769,0.0001340179],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9888497,"threshold_uncertainty_score":0.9998538,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2507517175","doi":"10.1109/tvcg.2016.2598608","title":"Embedded Data Representations","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Visualization and Computer Graphics","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":252,"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; Data visualization; Visualization; Computer graphics (images); Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.06576328209612098,"gpt":0.3236839684509721,"spread":0.2579206863548512,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002587999,0.0001752855,0.0001760515,0.0003675566,0.0002930372,0.0002424514,0.0006459461,0.0000887712,0.0000296317],"category_scores_gemma":[0.000007769603,0.0001423802,0.00005948809,0.0006986211,0.00008224767,0.001379902,0.00002060336,0.00009276641,0.00005183551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000198006,"about_ca_system_score_gemma":0.00005121218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001899363,"about_ca_topic_score_gemma":0.00004975659,"domain_scores_codex":[0.99827,0.0002060665,0.0003236113,0.0006803214,0.0003250245,0.0001949158],"domain_scores_gemma":[0.9981119,0.000350324,0.0001117466,0.001109475,0.000180311,0.0001362395],"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":[0.00002828547,0.0006121641,0.0002795388,0.00003959063,0.0001971437,0.00001274718,0.001449628,0.00004279287,0.0003668609,0.5651158,0.004200162,0.4276553],"study_design_scores_gemma":[0.001550243,0.0002087924,0.0008690133,0.0001504698,0.00003608427,0.00009557493,0.00004854128,0.9828126,0.003735005,0.002201319,0.007765812,0.0005265462],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002087228,0.00001742192,0.9957974,0.000374408,0.0009200729,0.0002301022,0.00005503345,0.0004162416,0.000102106],"genre_scores_gemma":[0.9970539,0.0001486457,0.001623372,0.0008102845,0.00007795008,0.0000295226,0.00001211943,0.00001761518,0.0002265668],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9949667,"threshold_uncertainty_score":0.5806096,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2106687164","doi":"10.1109/tvcg.2014.2359887","title":"Personal Visualization and Personal Visual Analytics","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Visualization and Computer Graphics","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":240,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Prince Edward Island; Simon Fraser University; University of Calgary; University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Visual analytics; Computer science; Data science; Visualization; Data visualization; Analytics; Context (archaeology); Set (abstract data type); Cultural analytics; Vocabulary; Information visualization; Human–computer interaction; World Wide Web; The Internet; Semantic analytics; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.01854176604427159,"gpt":0.2870826779491683,"spread":0.2685409119048967,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000324852,0.0002991983,0.0002522542,0.000887168,0.0005944425,0.0003181509,0.0002097058,0.0002276019,0.00002106993],"category_scores_gemma":[0.000008443606,0.0003144779,0.00007684545,0.001105841,0.000228958,0.0007004577,0.0000124363,0.0003177315,0.00001181419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004631821,"about_ca_system_score_gemma":0.00003576668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001092297,"about_ca_topic_score_gemma":0.00002044299,"domain_scores_codex":[0.9981282,0.0001887967,0.0003766707,0.0006366899,0.0003894656,0.0002801202],"domain_scores_gemma":[0.9990435,0.0001422335,0.0001681274,0.0001993386,0.0003358356,0.0001110111],"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":[0.00002496439,0.0002832511,0.0003079558,0.00004261505,0.00008463087,0.000002663073,0.002489071,0.0000620865,0.000132487,0.9767359,0.0002176074,0.01961671],"study_design_scores_gemma":[0.0006275956,0.0005755649,0.001023176,0.00004620201,0.00002979388,0.00006503613,0.00008568656,0.9930622,0.001666272,0.001171419,0.001314082,0.0003329848],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08044007,0.0000178309,0.9181448,0.0001340583,0.0006520386,0.0001659802,0.000004176917,0.0003694869,0.00007156671],"genre_scores_gemma":[0.9967601,0.00008799326,0.001047152,0.001842134,0.0001045868,0.00001818554,0.00001353874,0.00002651899,0.00009973144],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9930001,"threshold_uncertainty_score":0.9999307,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2037205988","doi":"10.1109/tvcg.2012.204","title":"Beyond Mouse and Keyboard: Expanding Design Considerations for Information Visualization Interactions","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Visualization and Computer Graphics","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":210,"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; Interactivity; Human–computer interaction; Visualization; Pointer (user interface); Data science; Interaction design; Data visualization; Information visualization; World Wide Web; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.04117507242616682,"gpt":0.3134194433823437,"spread":0.2722443709561769,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004293977,0.0002567836,0.000217863,0.0007665313,0.0008275752,0.0007298252,0.0001392836,0.000116009,0.00001578645],"category_scores_gemma":[0.00002849145,0.0002703908,0.00007338211,0.0006562233,0.00007991947,0.0036671,0.00001084779,0.0001235075,0.000009129191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003842827,"about_ca_system_score_gemma":0.00004886074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000644178,"about_ca_topic_score_gemma":0.000007531385,"domain_scores_codex":[0.9984487,0.0001641688,0.0005083962,0.0003005242,0.0002697708,0.0003084261],"domain_scores_gemma":[0.9985504,0.000434567,0.0001959192,0.0002766343,0.0003070413,0.0002353946],"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":[0.00001368826,0.0002099979,0.00005776967,0.00004728397,0.00005542369,2.107035e-7,0.002950637,0.0009768786,0.0000541227,0.9908313,0.001344834,0.003457838],"study_design_scores_gemma":[0.0008309058,0.0001753795,0.00008069405,0.00003161118,0.00005503173,0.00003490689,0.0001545512,0.9878178,0.004228714,0.002557823,0.003680207,0.0003524369],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0011283,0.00003211503,0.9969446,0.0001052221,0.0008352812,0.0005381944,0.00005160184,0.0003158551,0.0000488082],"genre_scores_gemma":[0.9701546,0.0003610461,0.02522261,0.003759908,0.0001320717,0.0001251628,0.000112145,0.00003208756,0.0001003408],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9882735,"threshold_uncertainty_score":0.9999748,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2109857088","doi":"10.1109/tvcg.2010.129","title":"A Visual Backchannel for Large-Scale Events","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Visualization and Computer Graphics","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":203,"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; Conversation; Popularity; Context (archaeology); Social media; Event (particle physics); Visual analytics; Tag cloud; Visualization; Human–computer interaction; World Wide Web; Scale (ratio); Set (abstract data type); Data science; Multimedia; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.01609550159475632,"gpt":0.2968375878906359,"spread":0.2807420862958796,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002927617,0.0002246438,0.0002006366,0.0003859723,0.000469187,0.0002396957,0.0003765856,0.000154301,0.00002248802],"category_scores_gemma":[0.000004454791,0.0002271723,0.0001274219,0.0007441556,0.00004188422,0.0004717919,0.000009516832,0.0001998394,0.00001478571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008905718,"about_ca_system_score_gemma":0.00004718191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003338281,"about_ca_topic_score_gemma":0.00006240618,"domain_scores_codex":[0.9985089,0.00005777535,0.0003299608,0.000510028,0.0002901335,0.0003031656],"domain_scores_gemma":[0.999021,0.00009564264,0.0001024724,0.000354061,0.0002300442,0.0001967964],"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":[0.00001793447,0.0008000872,0.0000928113,0.00004872968,0.00004952871,0.000001035021,0.0008478783,0.0001473375,0.00009640479,0.990495,0.0009558774,0.006447358],"study_design_scores_gemma":[0.0009589028,0.0002260593,0.0001398736,0.00001944372,0.0000215571,0.00001031107,0.00002926682,0.9851373,0.001436637,0.001634612,0.01010943,0.0002765699],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005488973,0.000005840836,0.9921928,0.0001069513,0.00154154,0.0002995304,0.00005760498,0.0002816883,0.00002507742],"genre_scores_gemma":[0.9834089,0.000112025,0.01180108,0.003977911,0.0002022411,0.0000675465,0.00007665146,0.00004439645,0.0003092586],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9888604,"threshold_uncertainty_score":0.9263816,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2105893525","doi":"10.1109/tvcg.2007.70521","title":"VisLink: Revealing Relationships Amongst Visualizations","year":2007,"lang":"en","type":"article","venue":"IEEE Transactions on Visualization and Computer Graphics","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":198,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; University of Pennsylvania","keywords":"Computer science; Visualization; Bridging (networking); Data visualization; Reuse; Human–computer interaction; Variety (cybernetics); Information visualization; Encoding (memory); Space (punctuation); Theoretical computer science; Information retrieval; Data mining; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.03493980262763771,"gpt":0.3009453598490365,"spread":0.2660055572213988,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001025072,0.0003109513,0.0002561649,0.0009695724,0.001031398,0.0004668314,0.0004652194,0.0002163702,0.00002179016],"category_scores_gemma":[0.00001917801,0.0003314903,0.000122268,0.002427293,0.0001267792,0.0008809992,0.00001336604,0.0003525042,0.00003540849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004589694,"about_ca_system_score_gemma":0.00005425754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001365256,"about_ca_topic_score_gemma":0.0000665871,"domain_scores_codex":[0.9975157,0.0002059879,0.0007126665,0.0006417102,0.0005220951,0.0004018859],"domain_scores_gemma":[0.9982494,0.0003244351,0.0002114152,0.0005675027,0.000337762,0.0003094477],"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":[0.000008040133,0.0002601086,0.0002790661,0.00002565563,0.00004200612,0.000006264042,0.0008948974,0.0007591797,0.00001874365,0.991686,0.0004413437,0.005578678],"study_design_scores_gemma":[0.0005918076,0.0001473966,0.0009929527,0.00006519884,0.00003806567,0.00002736131,0.0001014215,0.9896212,0.001488967,0.001728,0.004745334,0.0004523179],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002234552,0.00003671019,0.9956411,0.0001073119,0.0007867506,0.0002561118,0.00001601426,0.0006446398,0.000276835],"genre_scores_gemma":[0.9891308,0.0002695239,0.007484261,0.00257203,0.0001329196,0.00001245268,0.00006436954,0.00004570276,0.000287948],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.989958,"threshold_uncertainty_score":0.9999137,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2102323492","doi":"10.1109/tvcg.2008.85","title":"Glimmer: Multilevel MDS on the GPU","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Visualization and Computer Graphics","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":186,"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":"Computer science; Graphics processing unit; Parallel computing; CUDA; Benchmark (surveying); General-purpose computing on graphics processing units; Computation; Graphics; Memory hierarchy; Maxima and minima; Algorithm; Computational science; Computer graphics (images); Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.03951219503809449,"gpt":0.2667145617690557,"spread":0.2272023667309612,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009114738,0.0001647139,0.0001143595,0.0001360323,0.0008629693,0.0001059744,0.0003539139,0.00006745137,0.00001047718],"category_scores_gemma":[8.72137e-7,0.0001222784,0.00008193153,0.0006200408,0.0001094004,0.000170185,0.000004957369,0.0001957322,0.00002364176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009660108,"about_ca_system_score_gemma":0.00002006791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009459304,"about_ca_topic_score_gemma":0.000005632442,"domain_scores_codex":[0.9989449,0.00008073104,0.0002017283,0.0003495857,0.0002429844,0.0001800285],"domain_scores_gemma":[0.9991667,0.0001921239,0.00006076288,0.0004140327,0.00007794553,0.0000884699],"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":[0.000006275017,0.0002423145,0.0000207615,0.000003992429,0.00002126279,0.000003212881,0.0005663083,0.001765041,0.00001837676,0.980315,0.001716935,0.01532056],"study_design_scores_gemma":[0.0002504036,0.0001492741,0.0007598003,0.00001790098,0.000006449541,0.00003044732,0.000005600783,0.9887034,0.001283219,0.0009837224,0.007632984,0.0001767407],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01792694,0.00001756209,0.9804945,0.00068912,0.000376739,0.0002167974,0.000004976906,0.0001938339,0.00007951003],"genre_scores_gemma":[0.9934114,0.0004065263,0.0007423511,0.005173814,0.00007168965,0.00004945343,0.000002228218,0.00001308212,0.0001294972],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9869384,"threshold_uncertainty_score":0.6637349,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2113561748","doi":"10.1109/tvcg.2010.62","title":"Shape: A 3D Modeling Tool for Astrophysics","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Visualization and Computer Graphics","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":185,"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; A priori and a posteriori; Graphics; Computer graphics; Object (grammar); Object-oriented programming; 3D modeling; Data modeling; Computer graphics (images); Data mining; Artificial intelligence; Programming language; Software engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.01522937223068573,"gpt":0.2615362609358107,"spread":0.246306888705125,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001185462,0.0001461887,0.0001228004,0.0001982917,0.000471595,0.0003321577,0.0001865232,0.0001002122,0.000003589336],"category_scores_gemma":[0.000001758532,0.0001469362,0.00007539423,0.0003475901,0.00004477415,0.0004946669,0.000002843813,0.0002025751,0.000002514924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005685612,"about_ca_system_score_gemma":0.0000473763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002738431,"about_ca_topic_score_gemma":0.000004470171,"domain_scores_codex":[0.9991136,0.00002372635,0.0002042975,0.0003409261,0.0001475967,0.0001698855],"domain_scores_gemma":[0.9994397,0.00004110201,0.00005941654,0.0002096946,0.0001881113,0.00006201463],"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":[0.0000198997,0.0002000266,0.00001066192,0.00006599778,0.00003510013,7.371426e-7,0.0005538818,0.006989628,0.0004948978,0.360665,0.00003702223,0.6309272],"study_design_scores_gemma":[0.0003805729,0.0001012755,0.000007073942,0.00001868217,0.00001364926,0.00002713927,0.000005373603,0.9953219,0.001504075,0.002152896,0.0002916821,0.0001756562],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03184202,0.00000696905,0.9662871,0.00003571681,0.001404169,0.0001527626,0.000005349915,0.0002555902,0.00001034788],"genre_scores_gemma":[0.8907453,0.00002641188,0.1086295,0.000396736,0.0001317804,0.00002787613,0.000004379281,0.00001764832,0.00002037219],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9883323,"threshold_uncertainty_score":0.5991886,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2015755066","doi":"10.1109/tvcg.2013.153","title":"Empirical Guidance on Scatterplot and Dimension Reduction Technique Choices","year":2013,"lang":"en","type":"article","venue":"IEEE Transactions on Visualization and Computer Graphics","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":183,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Victoria; University of British Columbia","funders":"","keywords":"Computer science; Usability; Workflow; Dimensionality reduction; Data visualization; Data mining; Visualization; Dimension (graph theory); Set (abstract data type); Artificial intelligence; Machine learning; Human–computer interaction; Database","retraction":null,"screen_n_in":null,"score":{"opus":0.02519876842752377,"gpt":0.3096343875097871,"spread":0.2844356190822633,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017379,0.000226581,0.0001827428,0.0004488298,0.0003684945,0.0004155804,0.0002254643,0.0001267387,0.00001660884],"category_scores_gemma":[0.000003198315,0.000210451,0.00005167457,0.0007656299,0.0001133821,0.0007320634,0.00001071296,0.0001697648,0.00002481728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002031233,"about_ca_system_score_gemma":0.00002212574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002200507,"about_ca_topic_score_gemma":0.000003806382,"domain_scores_codex":[0.9984848,0.0001426859,0.0003223628,0.0005486481,0.0003028284,0.0001986431],"domain_scores_gemma":[0.9991288,0.00006923597,0.0001070525,0.0003683196,0.0001652506,0.0001613211],"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":[0.00004460611,0.001801305,0.001116141,0.0002093674,0.0001489595,0.000007096153,0.002098645,0.001402646,0.001861438,0.9055211,0.01192363,0.07386509],"study_design_scores_gemma":[0.0004643196,0.000473185,0.001996983,0.0001303677,0.00001814337,0.0000472649,0.00002216205,0.9836944,0.008695516,0.001527321,0.002550944,0.0003793352],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01154402,0.00002614974,0.9869322,0.000385555,0.0003838666,0.0003496722,0.000004954818,0.0003247929,0.00004875709],"genre_scores_gemma":[0.9899724,0.000395344,0.005181266,0.004087198,0.00007720659,0.00008236049,0.00001414919,0.00002709522,0.0001629408],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9822918,"threshold_uncertainty_score":0.8581945,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2068963126","doi":"10.1109/tvcg.2014.2346922","title":"#FluxFlow: Visual Analysis of Anomalous Information Spreading on Social Media","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Visualization and Computer Graphics","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":182,"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":"Computer science; Social media; Misinformation; Interactive visual analysis; Data science; Visualization; Set (abstract data type); Data visualization; Visual analytics; Information visualization; Domain (mathematical analysis); Anomaly detection; World Wide Web; Microblogging; Crowd psychology; Information retrieval; Human–computer interaction; Data mining; Artificial intelligence; Computer security","retraction":null,"screen_n_in":null,"score":{"opus":0.0176954374738774,"gpt":0.278173029808617,"spread":0.2604775923347396,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003129162,0.0002050696,0.0003371219,0.001670115,0.0002968247,0.0002423334,0.0003026226,0.000125991,0.0000167571],"category_scores_gemma":[0.00001233309,0.0002077753,0.0001716463,0.002840847,0.00008230514,0.0007516071,0.000007801509,0.0001246608,0.00001060087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002064532,"about_ca_system_score_gemma":0.00002669593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009332436,"about_ca_topic_score_gemma":0.00001564857,"domain_scores_codex":[0.9983566,0.0001609103,0.000511819,0.0002966399,0.0004835219,0.000190508],"domain_scores_gemma":[0.9989306,0.000234929,0.0002302737,0.0002648308,0.0002297191,0.0001096409],"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":[0.00001838707,0.0002900925,0.0001427991,0.00003417234,0.000285565,4.576304e-7,0.002486784,0.003556345,0.00000825189,0.9503454,0.0002462893,0.04258548],"study_design_scores_gemma":[0.0004366185,0.0001668933,0.002354359,0.00002033829,0.00017773,0.00000120834,0.00003891137,0.9947137,0.0005820323,0.0002403631,0.001053603,0.0002142597],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01671804,0.000002839675,0.9824526,0.00003974949,0.0003991229,0.0000882498,0.00003164124,0.0001683535,0.00009940769],"genre_scores_gemma":[0.9976289,0.00005253039,0.000649574,0.001493774,0.00005014108,0.000005443052,0.0001005887,0.00001034713,0.00000871409],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9911574,"threshold_uncertainty_score":0.847283,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2158943277","doi":"10.1109/tvcg.2008.175","title":"VisGets: Coordinated Visualizations for Web-based Information Exploration and Discovery","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Visualization and Computer Graphics","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":175,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Information retrieval; Web navigation; World Wide Web; RSS; Filter (signal processing); Exploratory search; Web search query; Visualization; Web page; Data visualization; Dimension (graph theory); Search engine; Data mining","retraction":null,"screen_n_in":null,"score":{"opus":0.02577688320399458,"gpt":0.2634437113893258,"spread":0.2376668281853312,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001644853,0.0001875702,0.0001847845,0.0006240438,0.0007374207,0.0003983521,0.000167295,0.0000964278,0.000001879258],"category_scores_gemma":[0.000007522107,0.0001885577,0.00007468004,0.0009604464,0.00009435444,0.003066045,0.000004919257,0.00008117559,0.000002804671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001726563,"about_ca_system_score_gemma":0.0000763307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001265579,"about_ca_topic_score_gemma":0.00001152764,"domain_scores_codex":[0.9988745,0.00008211649,0.0003493518,0.000313157,0.0002104412,0.000170365],"domain_scores_gemma":[0.9991466,0.0001342081,0.0001303764,0.0002566809,0.0002354144,0.00009667095],"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":[0.00009343941,0.000696774,0.0004547606,0.0002062915,0.0002033329,0.000003693342,0.004087307,0.01762727,0.000122022,0.9425414,0.002849618,0.03111406],"study_design_scores_gemma":[0.0009829935,0.0002377196,0.0002228577,0.00003417109,0.00003266855,0.000008900302,0.00003769128,0.9947575,0.0008262391,0.0003655516,0.002265791,0.0002278818],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006522303,0.00001877434,0.9924024,0.0002154116,0.0002543762,0.0002478144,0.00005789291,0.0002695887,0.00001142226],"genre_scores_gemma":[0.9931772,0.0002900785,0.004908117,0.001292768,0.0000306066,0.00007793954,0.0001770545,0.00001340691,0.00003278214],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9874943,"threshold_uncertainty_score":0.7689161,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2117616434","doi":"10.1109/tvcg.2012.252","title":"PivotPaths: Strolling through Faceted Information Spaces","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Visualization and Computer Graphics","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":175,"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":"Microsoft Research","keywords":"Computer science; Tree traversal; Visualization; Interface (matter); Filter (signal processing); Process (computing); Space (punctuation); World Wide Web; Human–computer interaction; Casual; Matching (statistics); Software deployment; Data visualization; Information retrieval; Contrast (vision); Artificial intelligence; Programming language","retraction":null,"screen_n_in":null,"score":{"opus":0.02590976618545724,"gpt":0.287646124365902,"spread":0.2617363581804448,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002301419,0.0002121468,0.0001778319,0.0003478297,0.000373865,0.0005180367,0.0002748932,0.0001120037,0.00001682667],"category_scores_gemma":[0.000003964252,0.000206933,0.00007540669,0.0009884993,0.00005688198,0.00368452,0.000008179609,0.0001468009,0.00004071187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002155193,"about_ca_system_score_gemma":0.00002862372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000147884,"about_ca_topic_score_gemma":0.000003730539,"domain_scores_codex":[0.998645,0.0001020341,0.0003683892,0.0002188191,0.0003659645,0.0002998144],"domain_scores_gemma":[0.9991652,0.00006220606,0.0001449252,0.0003135565,0.0001566481,0.0001574562],"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":[0.000006461825,0.000205179,0.0001727404,0.0000345111,0.00004191872,3.486755e-7,0.004108812,0.001101948,0.000006501838,0.9860846,0.0004729461,0.007764002],"study_design_scores_gemma":[0.0005295882,0.0001170264,0.0001918365,0.00003541801,0.00002389202,0.0000109786,0.0001464385,0.9813626,0.001155522,0.0004333818,0.01570348,0.0002897796],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003129747,0.00004997461,0.9952095,0.00007753794,0.0008613548,0.0001647865,0.00001937129,0.0003647226,0.0001230698],"genre_scores_gemma":[0.9896017,0.0004536859,0.006497657,0.003229267,0.00009070172,0.00001415149,0.0000456083,0.00001515441,0.00005209869],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9887118,"threshold_uncertainty_score":0.8438482,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2130247386","doi":"10.1109/tvcg.2010.194","title":"SparkClouds: Visualizing Trends in Tag Clouds","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Visualization and Computer Graphics","topic":"Data Visualization and Analytics","field":"Computer Science","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 Calgary","funders":"","keywords":"Tag cloud; Computer science; Cloud computing; Visualization; Data visualization; Bar chart; Information retrieval; Data science; World Wide Web; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.02122277414727932,"gpt":0.3008814098035279,"spread":0.2796586356562486,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003544037,0.000274876,0.0002566205,0.001275298,0.0002671764,0.0004095588,0.0004882325,0.0001858009,0.00005455057],"category_scores_gemma":[0.000004179417,0.0002852775,0.0001016358,0.002567295,0.0001051538,0.0006221366,0.00001227561,0.0003986575,0.00001601252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001797632,"about_ca_system_score_gemma":0.00004010577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003771817,"about_ca_topic_score_gemma":0.0002775691,"domain_scores_codex":[0.9981124,0.0001193185,0.0004727815,0.0005957755,0.0003740157,0.000325642],"domain_scores_gemma":[0.9989755,0.00008341655,0.0001173834,0.0005117405,0.0001167817,0.0001951518],"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":[0.000008524997,0.0004155192,0.0003082036,0.00001769023,0.00002360176,0.000009112951,0.0008171798,0.0003324977,0.0000945018,0.9597709,0.0004643859,0.03773784],"study_design_scores_gemma":[0.000736727,0.0001366224,0.001054972,0.00003183763,0.00001277324,0.00002318594,0.00002373425,0.9872137,0.001505008,0.0007701113,0.008124984,0.0003663508],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0157946,0.00001051494,0.982212,0.0001215969,0.001187969,0.0001015454,0.00001163656,0.0003106091,0.0002495482],"genre_scores_gemma":[0.9950026,0.0001754455,0.002437744,0.002051048,0.00009885865,0.00001440775,0.00002825355,0.00002905063,0.0001626088],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9868812,"threshold_uncertainty_score":0.9999599,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2024290096","doi":"10.1109/tvcg.2009.167","title":"MizBee: A Multiscale Synteny Browser","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Visualization and Computer Graphics","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":160,"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":"Synteny; Computer science; Visualization; Data visualization; Comparative genomics; Similarity (geometry); Data science; Abstraction; Genomics; Human–computer interaction; Genome; Information retrieval; Data mining; Artificial intelligence; Biology","retraction":null,"screen_n_in":null,"score":{"opus":0.01787192504938046,"gpt":0.2814564830515746,"spread":0.2635845580021941,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000150354,0.0002239663,0.0002014126,0.0004092319,0.0003273152,0.0003690899,0.000383122,0.000112626,0.00001968667],"category_scores_gemma":[0.000003002226,0.0002207607,0.00009956751,0.001023623,0.00006077027,0.0005973926,0.000004812655,0.0001533649,0.00002554907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000167081,"about_ca_system_score_gemma":0.00003020314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006335051,"about_ca_topic_score_gemma":0.000008607492,"domain_scores_codex":[0.9985159,0.00009524795,0.0003311015,0.0004785522,0.0003327545,0.0002464383],"domain_scores_gemma":[0.9990963,0.00005672477,0.00008738336,0.0004211659,0.0001534915,0.0001849741],"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":[0.000009919278,0.0004936518,0.00003129095,0.00001530674,0.00003204789,0.000007302775,0.00053538,0.0005332967,0.00003859667,0.9613879,0.001554689,0.03536063],"study_design_scores_gemma":[0.0005794609,0.0002644713,0.0005092889,0.00004108926,0.00001825436,0.00002337548,0.00001420478,0.9915004,0.001041377,0.001315709,0.004404199,0.0002881436],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001279937,0.00003209519,0.9972563,0.0002777436,0.0004462242,0.0001526725,0.0000117775,0.0004164893,0.0001267449],"genre_scores_gemma":[0.98549,0.0003534018,0.004904704,0.008798949,0.00007010432,0.000007930581,0.00001863239,0.00001836745,0.0003379006],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9923516,"threshold_uncertainty_score":0.9002362,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2137561086","doi":"10.1109/tvcg.2008.127","title":"EMDialog: Bringing Information Visualization into the Museum","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Visualization and Computer Graphics","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":158,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Calgary","funders":"","keywords":"Visualization; Exhibition; Computer science; Information visualization; Context (archaeology); Presentation (obstetrics); Human–computer interaction; World Wide Web; Visual analytics; Data visualization; Geovisualization; Data science; Multimedia; Visual arts; Artificial intelligence; Art; Archaeology","retraction":null,"screen_n_in":null,"score":{"opus":0.01885862478815501,"gpt":0.2657990253389085,"spread":0.2469404005507535,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002889203,0.0002420259,0.0001846394,0.0005683298,0.001175594,0.0004387866,0.0004852543,0.0001158719,0.00001426168],"category_scores_gemma":[0.000009491817,0.0002066045,0.00009450338,0.001616252,0.0001530857,0.001798181,0.00001587984,0.0001742263,0.00003717476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003377271,"about_ca_system_score_gemma":0.00007463085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004444665,"about_ca_topic_score_gemma":0.00002055934,"domain_scores_codex":[0.9982775,0.0001628475,0.0004886384,0.0003318323,0.0004938545,0.0002453526],"domain_scores_gemma":[0.9988465,0.0001073734,0.0001806758,0.0004644448,0.0002697995,0.0001312589],"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":[0.000009172805,0.0001602545,0.000127303,0.00003559074,0.00005718806,0.000003300682,0.00955384,0.002121442,0.000008485661,0.9747387,0.001527054,0.01165766],"study_design_scores_gemma":[0.0004445436,0.0001132316,0.0004477021,0.00002993478,0.0000204926,0.00004048867,0.00006448514,0.9847251,0.0006478957,0.0005277308,0.01267174,0.0002666273],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003242288,0.00002871631,0.9950088,0.0002209659,0.0007445064,0.0002272329,0.000005947783,0.0004217679,0.00009983729],"genre_scores_gemma":[0.9921306,0.000865044,0.001294848,0.00545415,0.00008317812,0.0000228437,0.00005512536,0.00002067382,0.00007355063],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9937139,"threshold_uncertainty_score":0.9041836,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2167252678","doi":"10.1109/tvcg.2008.34","title":"GrouseFlocks: Steerable Exploration of Graph Hierarchy Space","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Visualization and Computer Graphics","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":154,"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":"University of British Columbia; Institut national de recherche en informatique et en automatique (INRIA)","keywords":"Computer science; Theoretical computer science; Hierarchy; Graph; Lattice graph; Cluster analysis; Voltage graph; Line graph; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.04099397213653357,"gpt":0.2795971650931736,"spread":0.2386031929566401,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001672994,0.0002028046,0.0002371535,0.0006481399,0.0003838291,0.0001008219,0.0003242467,0.00009979487,0.00001200813],"category_scores_gemma":[0.000003228746,0.0002069047,0.000099761,0.001541315,0.0001456388,0.001252135,0.000007535915,0.0001334145,0.000007249978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001395119,"about_ca_system_score_gemma":0.00005794364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001962086,"about_ca_topic_score_gemma":0.00001119366,"domain_scores_codex":[0.9984394,0.0001341028,0.0004110943,0.0003987674,0.0004197245,0.0001969628],"domain_scores_gemma":[0.9989588,0.00007680962,0.0001555834,0.0004253008,0.0002522309,0.0001313098],"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":[0.00001193014,0.0003824352,0.00009836964,0.00004084621,0.00004712658,0.000005021364,0.001927609,0.002709722,0.00003838629,0.992284,0.0007257887,0.00172874],"study_design_scores_gemma":[0.0007220302,0.0003580784,0.0001729358,0.000050057,0.00002052829,0.00002985775,0.00004905006,0.9874972,0.005576662,0.003182909,0.002039763,0.000300948],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004000515,0.00005134968,0.9949523,0.00009339097,0.0004051778,0.0001691563,0.00001387104,0.0002360973,0.00007813225],"genre_scores_gemma":[0.9905585,0.002395319,0.005665257,0.0009928017,0.0000468063,0.00001639747,0.00002677099,0.00002590051,0.0002722273],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9892871,"threshold_uncertainty_score":0.843733,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2788535313","doi":"10.1109/tvcg.2018.2794638","title":"The Effect of Realistic Appearance of Virtual Characters in Immersive Environments - Does the Character's Personality Play a Role?","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Visualization and Computer Graphics","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":151,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Trinity College","funders":"Science Foundation Ireland","keywords":"Uncanny valley; Realism; Virtual reality; Computer science; Character (mathematics); Rendering (computer graphics); Immersion (mathematics); Personality; Perception; Human–computer interaction; Appeal; Psychology; Social psychology; Artificial intelligence; Art; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.007426628873321421,"gpt":0.2520007045697768,"spread":0.2445740756964554,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005163052,0.0001528892,0.0001946848,0.0001281728,0.0003345461,0.00006463572,0.0004157231,0.0000678284,0.000001978531],"category_scores_gemma":[0.000007264611,0.00008846101,0.00007914783,0.0005365608,0.0004724907,0.0002071475,0.000009379994,0.0001418739,0.000002157472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002067963,"about_ca_system_score_gemma":0.00002211055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001120857,"about_ca_topic_score_gemma":0.00006303675,"domain_scores_codex":[0.9986172,0.000297876,0.0003431332,0.0002677097,0.0002986602,0.0001754649],"domain_scores_gemma":[0.9989355,0.0003302275,0.0002081302,0.0004179864,0.00004872105,0.00005944271],"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":[0.0005985564,0.0007778152,0.002571059,0.0001284568,0.0003336551,0.000001877652,0.02284068,0.0004634939,0.006292725,0.8819563,0.00004560794,0.08398981],"study_design_scores_gemma":[0.00157193,0.002670845,0.08832152,0.000219787,0.00006119134,0.00001195377,0.0002532797,0.8457084,0.05876824,0.001188325,0.0008587009,0.0003658324],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2804587,0.00001945491,0.7189175,0.0001318453,0.0001711369,0.0002627677,0.00001718119,0.000009266525,0.00001214135],"genre_scores_gemma":[0.9994349,0.000254193,0.00001761926,0.0002086376,0.00003122401,0.00003017926,0.000003108991,0.000007337318,0.00001277359],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8807679,"threshold_uncertainty_score":0.3607335,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2111781385","doi":"10.1109/tvcg.2007.46","title":"TopoLayout: Multilevel Graph Layout by Topological Features","year":2007,"lang":"en","type":"article","venue":"IEEE Transactions on Visualization and Computer Graphics","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":149,"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":"University of British Columbia; Institut national de recherche en informatique et en automatique (INRIA)","keywords":"Computer science; Feature (linguistics); Graph; Topology (electrical circuits); Graph Layout; Visualization; Theoretical computer science; Hierarchy; Topological graph theory; Algorithm; Graph drawing; Pattern recognition (psychology); Data mining; Voltage graph; Artificial intelligence; Mathematics; Line graph; Combinatorics","retraction":null,"screen_n_in":null,"score":{"opus":0.0207223979919301,"gpt":0.3010794843035148,"spread":0.2803570863115847,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000362045,0.0002688104,0.0002244037,0.000449613,0.0004307784,0.0003167866,0.0004507469,0.0001971551,0.00002516974],"category_scores_gemma":[0.000005137882,0.0002488529,0.000114341,0.0009016431,0.0001464893,0.0004312545,0.00001121598,0.0002398099,0.00001236234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002133679,"about_ca_system_score_gemma":0.0000244305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002591933,"about_ca_topic_score_gemma":0.00003082817,"domain_scores_codex":[0.9982,0.00009477777,0.0004007164,0.0005480731,0.0004062649,0.0003501693],"domain_scores_gemma":[0.9989638,0.0001422955,0.0001084218,0.0003873901,0.0001515546,0.0002464883],"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":[0.00001700419,0.0004409017,0.0001275794,0.00001762061,0.00004723865,0.00000839767,0.0007021516,0.0001362169,0.00004483974,0.978421,0.003457728,0.01657934],"study_design_scores_gemma":[0.001347953,0.0004826167,0.001636238,0.00004822911,0.00004258247,0.00006018417,0.0001194429,0.9732316,0.00623291,0.003530478,0.01247365,0.0007940863],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003010226,0.00006712736,0.995358,0.0001128821,0.0007134425,0.0001607297,0.00003816844,0.0003902118,0.0001491852],"genre_scores_gemma":[0.9897958,0.0002618393,0.003610208,0.005757488,0.00007593002,0.000006879189,0.00004634635,0.00002327625,0.0004222234],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9917478,"threshold_uncertainty_score":0.9999964,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2116194516","doi":"10.1109/tvcg.2006.17","title":"Visualization task performance with 2D, 3D, and combination displays","year":2006,"lang":"en","type":"article","venue":"IEEE Transactions on Visualization and Computer Graphics","topic":"Spatial Cognition and Navigation","field":"Engineering","cited_by":143,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Simon Fraser University; University of British Columbia; University of British Columbia Hospital","funders":"","keywords":"Computer science; Orientation (vector space); Usability; Computer vision; Visibility; Stereo display; Visualization; Artificial intelligence; Task (project management); Stereoscopy; Human–computer interaction; Computer graphics (images)","retraction":null,"screen_n_in":null,"score":{"opus":0.006456815728087499,"gpt":0.2121255581023025,"spread":0.205668742374215,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006778081,0.0001738166,0.0001215798,0.0002703699,0.0002375748,0.0000997313,0.00003359716,0.00009323136,0.0000111477],"category_scores_gemma":[4.188545e-7,0.000172873,0.00002059043,0.0004774656,0.00006227842,0.0003129614,8.212925e-7,0.0001011001,0.000003871485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000204471,"about_ca_system_score_gemma":0.000007328516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001665674,"about_ca_topic_score_gemma":0.00004950738,"domain_scores_codex":[0.9992378,0.00003373758,0.0002102036,0.0001955164,0.0001939673,0.0001287297],"domain_scores_gemma":[0.9996783,0.00003134316,0.00004275936,0.00008389146,0.000108644,0.00005507527],"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":[0.0004802816,0.001771398,0.01144124,0.001625188,0.0003588673,0.00001268162,0.003391416,0.1918724,0.002082554,0.6485596,0.001320508,0.1370839],"study_design_scores_gemma":[0.0008984472,0.0002446844,0.006838042,0.00007989025,0.00004206532,0.00001393238,0.00001491932,0.9874185,0.003696113,0.0001334578,0.0003838683,0.0002360455],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3019263,0.00002553449,0.6973739,0.000006912071,0.0001607003,0.0001548951,0.000008420621,0.0002364485,0.0001068392],"genre_scores_gemma":[0.999076,0.0003791313,0.0001617126,0.0001430577,0.00004523747,0.00002729472,0.0001087332,0.00003211446,0.00002669224],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7955462,"threshold_uncertainty_score":0.7049556,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2028822613","doi":"10.1109/tvcg.2014.2346292","title":"Constructing Visual Representations: Investigating the Use of Tangible Tokens","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Visualization and Computer Graphics","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":140,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates - Technology Futures","keywords":"Computer science; Visualization; Human–computer interaction; Data visualization; Computer graphics (images); Artificial intelligence; Multimedia","retraction":null,"screen_n_in":null,"score":{"opus":0.05256574381991955,"gpt":0.3093854272498913,"spread":0.2568196834299717,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002994262,0.0001605065,0.0001809279,0.0003028256,0.0004012724,0.0003644966,0.0002902237,0.00006937762,0.000007200548],"category_scores_gemma":[0.00003525564,0.0001346136,0.00007772102,0.001182132,0.0002222674,0.0006606085,0.00001318128,0.0001416334,0.000003016907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001204172,"about_ca_system_score_gemma":0.00003644537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003504553,"about_ca_topic_score_gemma":0.00002676501,"domain_scores_codex":[0.9984481,0.0002687403,0.0004466749,0.000333299,0.0003322881,0.000170923],"domain_scores_gemma":[0.9985787,0.0004809784,0.0002202107,0.0003895125,0.0002340396,0.00009660319],"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":[0.000002121443,0.00008308053,0.0005375651,0.00002505588,0.00003467342,3.365177e-7,0.0006540105,0.00299929,0.00002643839,0.9806973,0.0003130104,0.01462714],"study_design_scores_gemma":[0.0002767681,0.0001012422,0.0001737452,0.00005265407,0.00002298387,0.00001269464,0.00009353599,0.9943953,0.002345591,0.0008702238,0.001504416,0.0001508592],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00724815,0.00000771172,0.9918886,0.0001497102,0.0003552168,0.0001470971,0.00001057132,0.0001492813,0.00004364706],"genre_scores_gemma":[0.9824482,0.000096198,0.0145227,0.002743496,0.00006233757,0.0000118345,0.0000227048,0.00002031993,0.00007216259],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.991396,"threshold_uncertainty_score":0.5489385,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2162076254","doi":"10.1109/tvcg.2006.11","title":"Predictive haptic guidance: intelligent user assistance for the control of dynamic tasks","year":2006,"lang":"en","type":"article","venue":"IEEE Transactions on Visualization and Computer Graphics","topic":"Teleoperation and Haptic Systems","field":"Engineering","cited_by":134,"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":"Computer science; Haptic technology; USable; Human–computer interaction; Field (mathematics); Virtual reality; Control (management); Visibility; Animation; Model predictive control; Path (computing); Artificial intelligence; Multimedia","retraction":null,"screen_n_in":null,"score":{"opus":0.009275593684536496,"gpt":0.2400845662934326,"spread":0.2308089726088961,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001048767,0.0001187212,0.0001415637,0.0001037691,0.0001304353,0.00004374987,0.00006874065,0.00006538038,0.000007579427],"category_scores_gemma":[0.000001000231,0.000096952,0.00007055485,0.00018705,0.00005884901,0.0000644414,3.60102e-7,0.00006655868,0.000001044786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000217981,"about_ca_system_score_gemma":0.000009972418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001133982,"about_ca_topic_score_gemma":0.0000853259,"domain_scores_codex":[0.9993231,0.00002804485,0.0002929574,0.0001272457,0.0001264407,0.00010227],"domain_scores_gemma":[0.9995381,0.0001408081,0.00004479699,0.0001309376,0.0001186164,0.00002679425],"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":[0.0001216518,0.0002810026,0.0002466888,0.0003271176,0.0004313526,7.045427e-7,0.001098868,0.6180187,0.0006253002,0.3679946,0.001306181,0.009547764],"study_design_scores_gemma":[0.0005056004,0.00009054971,0.001065922,0.00004217352,0.0000491948,0.000002350638,0.00004414179,0.9954196,0.0006794241,0.00009705462,0.001904604,0.00009943532],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002981017,0.000309828,0.995344,0.00002187787,0.0006990886,0.0004290332,0.00006130282,0.0001260657,0.00002773744],"genre_scores_gemma":[0.9993114,0.0001454267,0.0002030848,0.0001062061,0.00005089678,0.00008493431,0.000006527117,0.00002000219,0.00007152121],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9963304,"threshold_uncertainty_score":0.3953588,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2113386367","doi":"10.1109/tvcg.2008.109","title":"A Framework of Interaction Costs in Information Visualization","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Visualization and Computer Graphics","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":134,"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":"Computer science; Visualization; Usability; Human–computer interaction; Data visualization; Risk analysis (engineering); Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.02311717961259453,"gpt":0.3027173949095378,"spread":0.2796002152969433,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002037878,0.0001878048,0.0002280468,0.001064397,0.0001839489,0.0001100799,0.000257294,0.0001499543,0.00001410071],"category_scores_gemma":[0.00001439621,0.0002009898,0.00006887842,0.001885524,0.0000864266,0.001774698,0.000008301123,0.0001751915,0.00001098547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005173095,"about_ca_system_score_gemma":0.00005910333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004042722,"about_ca_topic_score_gemma":0.00001975802,"domain_scores_codex":[0.9984202,0.0001380863,0.0006152296,0.0002687411,0.0003831449,0.0001745671],"domain_scores_gemma":[0.9989856,0.0001257893,0.0002369854,0.0003081236,0.0002520089,0.00009150145],"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":[0.00002407385,0.0003468087,0.0006610886,0.0000496445,0.00002288597,0.000002550936,0.002762967,0.002004829,0.000008847723,0.9858146,0.0001712363,0.008130482],"study_design_scores_gemma":[0.00056865,0.0001985451,0.001420016,0.0001392235,0.000008842499,0.00002602253,0.00007489255,0.9941509,0.001520811,0.0007342441,0.0009398652,0.0002180184],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01462273,0.00001335339,0.9843799,0.00003513367,0.0005103722,0.0001993326,0.00001143406,0.0001489046,0.00007883214],"genre_scores_gemma":[0.9956375,0.0006628744,0.002502668,0.001096583,0.00002296003,0.00001365298,0.00003859995,0.00001190706,0.00001328904],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.992146,"threshold_uncertainty_score":0.8196126,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2070664725","doi":"10.1109/tvcg.2014.2346320","title":"Four Experiments on the Perception of Bar Charts","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Visualization and Computer Graphics","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":132,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"McGill University","keywords":"Bar chart; Bar (unit); Computer science; Chart; Pie chart; Perception; Ranking (information retrieval); Visualization; Artificial intelligence; Statistics; Mathematics; Psychology","retraction":null,"screen_n_in":null,"score":{"opus":0.03604497504253758,"gpt":0.2931317659053733,"spread":0.2570867908628358,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002728136,0.0001559634,0.0001473494,0.0002389589,0.0002746147,0.0001395376,0.0003261676,0.00006766411,0.00003700961],"category_scores_gemma":[0.000004474372,0.0001215203,0.00007649636,0.0004868516,0.00007964743,0.0002362342,0.000006119132,0.0001010744,0.00001971871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001128828,"about_ca_system_score_gemma":0.00001494294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005231425,"about_ca_topic_score_gemma":0.000001561034,"domain_scores_codex":[0.9987513,0.0001917278,0.0002723336,0.0003014395,0.0003448066,0.0001383463],"domain_scores_gemma":[0.9991638,0.0001147119,0.0001086073,0.0004156551,0.0001201649,0.00007705504],"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":[0.000006455241,0.0002075143,0.00003174985,0.00001430988,0.00002325819,2.936595e-7,0.0008115731,0.0003970138,0.00008221692,0.9896407,0.0005939023,0.008190996],"study_design_scores_gemma":[0.0003186632,0.0002920632,0.0003891599,0.00004537632,0.00001121555,0.000003552442,0.00004723837,0.9934875,0.002402916,0.0007385444,0.002114844,0.0001489194],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01056093,0.000003714479,0.9884549,0.0001961087,0.0003931148,0.0001364342,0.000006050906,0.000103709,0.0001449961],"genre_scores_gemma":[0.9960871,0.0001018468,0.0005840705,0.003074686,0.00004772881,0.00001095373,0.000006383944,0.00001244182,0.00007477585],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9930905,"threshold_uncertainty_score":0.4955454,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2518599754","doi":"10.1109/tvcg.2016.2598647","title":"Authoring Data-Driven Videos with DataClips","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Visualization and Computer Graphics","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":126,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; Microsoft Research","keywords":"Computer science; Data visualization; Computer graphics (images); Visualization; Multimedia; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.04615018026666694,"gpt":0.3042941386880955,"spread":0.2581439584214285,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002130333,0.0002206154,0.0001894332,0.0003539312,0.0003166987,0.0003413736,0.0008845621,0.00007827971,0.00001985367],"category_scores_gemma":[0.000004101242,0.0001538954,0.00003441655,0.0008346585,0.0001072985,0.001574913,0.00002979461,0.000101226,0.00002448122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001762786,"about_ca_system_score_gemma":0.00005752308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006126965,"about_ca_topic_score_gemma":0.00003329728,"domain_scores_codex":[0.9982589,0.0001068363,0.0003006667,0.0007045867,0.0003870523,0.0002419688],"domain_scores_gemma":[0.9983453,0.0001240223,0.0001108154,0.001105639,0.0001357885,0.0001783927],"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":[0.00001944428,0.0002601731,0.0002530348,0.00003122405,0.0001009588,0.0000109574,0.0002776385,0.000311846,0.00003608751,0.9515896,0.001660218,0.04544878],"study_design_scores_gemma":[0.0007863824,0.0002100004,0.0001864949,0.0001220963,0.00003222257,0.00002714181,0.00001169981,0.9855042,0.0006021025,0.0003303253,0.01187074,0.0003165627],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0005912174,0.000009835167,0.9980748,0.0003065517,0.0003638082,0.0001444424,0.00009783791,0.0003704552,0.00004105572],"genre_scores_gemma":[0.9825145,0.0006483502,0.01346671,0.002755112,0.000135006,0.00001767975,0.0001024926,0.00004914074,0.0003109971],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9851924,"threshold_uncertainty_score":0.6275671,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2978716154","doi":"10.1109/tvcg.2019.2934415","title":"Evaluating an Immersive Space-Time Cube Geovisualization for Intuitive Trajectory Data Exploration","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Visualization and Computer Graphics","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":125,"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":"Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Computer science; Zoom; Human–computer interaction; Geovisualization; Usability; Visualization; Cube (algebra); Trajectory; Desk; Workload; Artificial intelligence; Information visualization","retraction":null,"screen_n_in":null,"score":{"opus":0.09336402127289002,"gpt":0.3753260117945121,"spread":0.2819619905216221,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007186144,0.0003113775,0.0003048519,0.0005737524,0.0004248036,0.0005047111,0.0007405787,0.0001596812,0.00004230295],"category_scores_gemma":[0.00001571782,0.0003338548,0.00008185129,0.001038493,0.00006757672,0.003363258,0.00002516,0.000143304,0.0000405266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004422721,"about_ca_system_score_gemma":0.0001265033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001243134,"about_ca_topic_score_gemma":0.00001500907,"domain_scores_codex":[0.9973725,0.0003096317,0.0004981249,0.001009032,0.0005099284,0.000300774],"domain_scores_gemma":[0.9978607,0.0002272063,0.0002560792,0.0009914509,0.0004874329,0.0001771147],"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":[0.00009885117,0.0008735197,0.00005923527,0.0001623659,0.0001817213,0.000001506248,0.004696427,0.01744416,0.0008759667,0.9476838,0.0009252272,0.02699722],"study_design_scores_gemma":[0.0011366,0.0009359778,0.00004819362,0.00006391618,0.00005819196,0.000004997431,0.0001900043,0.9931449,0.001931891,0.001034659,0.001043922,0.0004067603],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005555954,0.00001956098,0.9923052,0.00008783569,0.0007581862,0.0008399597,0.0001422105,0.0002601082,0.00003102515],"genre_scores_gemma":[0.964444,0.000488551,0.02590417,0.004425663,0.0003581301,0.0001315879,0.003460312,0.0001479356,0.0006396786],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9757007,"threshold_uncertainty_score":0.9999114,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2115517714","doi":"10.1109/tvcg.2007.70568","title":"Interactive Tree Comparison for Co-located Collaborative Information Visualization","year":2007,"lang":"en","type":"article","venue":"IEEE Transactions on Visualization and Computer Graphics","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":125,"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; Workspace; Visualization; Information visualization; Human–computer interaction; Data visualization; Focus (optics); Collaborative software; Computer-supported cooperative work; Data science; World Wide Web; Work (physics); Data mining; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.02059538703378363,"gpt":0.3356253614782106,"spread":0.315029974444427,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005564743,0.0003040605,0.000310831,0.0009723353,0.0005226581,0.0005721687,0.0003435116,0.0001809694,0.000009892739],"category_scores_gemma":[0.00001759427,0.0003162442,0.0000974992,0.00190769,0.00009985606,0.002039943,0.000007350696,0.0001573523,0.0000178283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007138257,"about_ca_system_score_gemma":0.00008808192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007494194,"about_ca_topic_score_gemma":0.00005218456,"domain_scores_codex":[0.9979368,0.0001212884,0.0007705818,0.0004170958,0.0004321053,0.0003221584],"domain_scores_gemma":[0.9979559,0.000306571,0.0003636201,0.0003208405,0.0008614105,0.0001917037],"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":[0.0001360426,0.0004887133,0.0001640735,0.00007967302,0.00009492048,0.000001042084,0.00458583,0.001048318,0.0000314607,0.9571344,0.00240625,0.0338293],"study_design_scores_gemma":[0.001356515,0.0005308375,0.0003809714,0.00005803303,0.00003598109,0.000005782448,0.0003729896,0.9727182,0.008931875,0.0004760154,0.01475896,0.0003738688],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001099613,0.00001810314,0.996757,0.00005912066,0.0007521994,0.000647721,0.00007610251,0.0004071617,0.0001830169],"genre_scores_gemma":[0.9907604,0.000147084,0.005394587,0.002977645,0.00008504657,0.00004969836,0.0004877945,0.00003166596,0.00006605259],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9913624,"threshold_uncertainty_score":0.999929,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2147062644","doi":"10.1109/tvcg.2010.190","title":"Result-Driven Exploration of Simulation Parameter Spaces for Visual Effects Design","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Visualization and Computer Graphics","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":121,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Animation; Visualization; Rendering (computer graphics); Cluster analysis; Interactive visual analysis; Set (abstract data type); Computer graphics; Data visualization; Volume rendering; Graphics; Computer graphics (images); Human–computer interaction; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.04378189514371345,"gpt":0.3298715313217475,"spread":0.286089636178034,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002885698,0.0002002484,0.0002247743,0.0004595599,0.0002423224,0.0002483622,0.000245704,0.0001504523,0.000003655321],"category_scores_gemma":[0.00002919584,0.0001975915,0.00009678481,0.0007176913,0.00008562161,0.001040988,0.000005631113,0.000134831,0.00000270077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001075214,"about_ca_system_score_gemma":0.00005087586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004099789,"about_ca_topic_score_gemma":0.00001084989,"domain_scores_codex":[0.9985903,0.0001392339,0.0003990282,0.0004038775,0.0002903661,0.0001772277],"domain_scores_gemma":[0.9983128,0.0007401279,0.0002052972,0.0003078679,0.000328692,0.0001051677],"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":[0.00009585916,0.0006079068,0.00003956196,0.0001875145,0.0001035061,0.00000128878,0.001841539,0.1790578,0.001209227,0.7888578,0.000240107,0.02775788],"study_design_scores_gemma":[0.0007480111,0.0005316008,0.00005730539,0.00003678857,0.0000347459,0.000001514294,0.00001292806,0.9803654,0.01527109,0.002159221,0.0005709188,0.0002104926],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004311855,0.00000529689,0.9941382,0.00004537004,0.0007795029,0.0005316515,0.00001383974,0.0001695815,0.000004650883],"genre_scores_gemma":[0.9666954,0.00005409418,0.03262302,0.0004401192,0.00006291077,0.00004362926,0.00003118569,0.00002187549,0.0000277883],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9623835,"threshold_uncertainty_score":0.8057548,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3023454035","doi":"10.1109/tvcg.2020.3030354","title":"Explainable Matrix - Visualization for Global and Local Interpretability of Random Forest Classification Ensembles","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Visualization and Computer Graphics","topic":"Explainable Artificial Intelligence (XAI)","field":"Computer Science","cited_by":118,"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":"Interpretability; Computer science; Visualization; Random forest; Machine learning; Scalability; Artificial intelligence; Data mining; Data visualization; Visual analytics; Focus (optics); Creative visualization; Data science","retraction":null,"screen_n_in":null,"score":{"opus":0.03673167126332117,"gpt":0.3144207998614237,"spread":0.2776891285981025,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002865717,0.0002015482,0.0002761623,0.00013851,0.0002678733,0.0001672279,0.0002446327,0.0001274131,0.000003382819],"category_scores_gemma":[0.00002014339,0.0002082618,0.00009422078,0.0008139728,0.0001818326,0.0005953182,0.00001047619,0.00007920167,0.000001277059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003530933,"about_ca_system_score_gemma":0.00005474618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002905835,"about_ca_topic_score_gemma":0.00004937401,"domain_scores_codex":[0.9983678,0.0001530982,0.0005077673,0.0005226258,0.0002392126,0.0002094636],"domain_scores_gemma":[0.9988809,0.0002238469,0.0001705555,0.0002401431,0.0003288809,0.0001557352],"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":[0.0002069415,0.0001860241,0.0004131394,0.0002118958,0.00003525164,7.037166e-7,0.001889491,0.004621929,0.0001103695,0.9775581,0.00005448568,0.01471161],"study_design_scores_gemma":[0.0006496389,0.00052613,0.0002638177,0.00003928711,0.0000285012,0.000005116885,0.0002651826,0.984157,0.006865528,0.006715753,0.0002924437,0.0001915508],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02003059,0.00006413845,0.9786727,0.0002123223,0.0002323074,0.0005843855,0.00002146544,0.0001652518,0.00001678526],"genre_scores_gemma":[0.9961821,0.0001499793,0.003055503,0.0004951199,0.00003165601,0.00005407043,0.00001257179,0.00001357933,0.000005365034],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9795351,"threshold_uncertainty_score":0.849267,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2113942092","doi":"10.1109/tvcg.2011.248","title":"Tuner: Principled Parameter Finding for Image Segmentation Algorithms Using Visual Response Surface Exploration","year":2011,"lang":"en","type":"article","venue":"IEEE Transactions on Visualization and Computer Graphics","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":115,"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":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Segmentation; Artificial intelligence; Parameter space; Image segmentation; Ground truth; Computer vision; Algorithm; Scale-space segmentation; Estimation theory; Segmentation-based object categorization; Pattern recognition (psychology); Mathematics; Statistics","retraction":null,"screen_n_in":null,"score":{"opus":0.04914249701868469,"gpt":0.3356554118267518,"spread":0.2865129148080672,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003045443,0.0001682392,0.0001330285,0.0001816387,0.0002175419,0.00007054529,0.00006778324,0.0001281211,0.000008189702],"category_scores_gemma":[0.000007134515,0.0001812739,0.0001088339,0.0002314292,0.00006196122,0.00004702129,0.000003851623,0.00006046577,8.646253e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001767835,"about_ca_system_score_gemma":0.00002766452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001295169,"about_ca_topic_score_gemma":0.00001188412,"domain_scores_codex":[0.9989491,0.0001595647,0.0002655419,0.000356656,0.0001207951,0.0001483456],"domain_scores_gemma":[0.9994404,0.00003938063,0.0001123639,0.0001721726,0.0001778071,0.00005788604],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002080507,0.001026855,0.0003314163,0.00009796139,0.0003534131,0.000005513467,0.002434122,0.001674942,0.981218,0.001361681,0.0002710334,0.009144488],"study_design_scores_gemma":[0.0004034094,0.0004304831,0.00006827909,0.00001164211,0.00005914707,0.00000500764,0.00006069973,0.4395791,0.5590395,0.0000566591,0.0001229103,0.0001632204],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.385989,0.000009142849,0.6136657,0.000003245892,0.0000502816,0.0002371939,0.000005264442,0.00003715959,0.000003053093],"genre_scores_gemma":[0.9634826,0.0001467119,0.03584879,0.000239679,0.00004575675,0.00004398812,0.0000931548,0.00003661836,0.0000627641],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5778169,"threshold_uncertainty_score":0.7392135,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2089059393","doi":"10.1109/tvcg.2012.325","title":"Trajectory Optimization for Full-Body Movements with Complex Contacts","year":2013,"lang":"en","type":"article","venue":"IEEE Transactions on Visualization and Computer Graphics","topic":"Human Motion and Animation","field":"Engineering","cited_by":115,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Autodesk (Canada); University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Trajectory; Computer science; Animation; Crawling; Motion (physics); Motion capture; Movement (music); Center of mass (relativistic); Set (abstract data type); Trajectory optimization; Computer animation; Key (lock); Simple (philosophy); Character animation; Computer graphics (images); Visualization; Computer vision; Artificial intelligence; Physics; Classical mechanics","retraction":null,"screen_n_in":null,"score":{"opus":0.01903656598093795,"gpt":0.2401062707471096,"spread":0.2210697047661716,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004271888,0.0001553565,0.0001250737,0.0002105604,0.0001772671,0.0001152846,0.00004770763,0.00006763152,0.0001625682],"category_scores_gemma":[3.221141e-7,0.0001510255,0.00003986926,0.0001957863,0.00003021811,0.0002572597,4.125129e-7,0.00006896538,0.000007785715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002183791,"about_ca_system_score_gemma":0.00000704839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005251371,"about_ca_topic_score_gemma":0.00001202857,"domain_scores_codex":[0.9993467,0.00002360536,0.0001964122,0.00016512,0.0001293139,0.0001388268],"domain_scores_gemma":[0.9996484,0.00002690394,0.0000300871,0.00009173895,0.0001226474,0.00008023426],"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":[0.00004156996,0.0002469918,0.00003438411,0.0002063368,0.0001492152,4.382224e-7,0.0008990181,0.9572405,0.0008691986,0.03315627,0.0008227126,0.00633332],"study_design_scores_gemma":[0.0009022149,0.0002653104,0.0007088054,0.00003305649,0.0000174346,0.000002522789,0.0000428597,0.9967356,0.0008079141,0.00004020728,0.000262771,0.0001813274],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04195998,0.000006162803,0.9569406,0.00001204178,0.0001958197,0.0004938143,0.0000126775,0.0003090683,0.00006986353],"genre_scores_gemma":[0.9965721,0.00007767167,0.002634081,0.0004414394,0.00004272463,0.00008738393,0.00006792192,0.00003724676,0.00003938767],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9546121,"threshold_uncertainty_score":0.6158642,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2132317457","doi":"10.1109/tvcg.2009.162","title":"Lark: Coordinating Co-located Collaboration with Information Visualization","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Visualization and Computer Graphics","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":115,"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":"Workspace; Computer science; Visualization; Flexibility (engineering); Human–computer interaction; Representation (politics); Focus (optics); Information visualization; Pipeline (software); Data visualization; Data science; World Wide Web; Data mining; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.01165494144871717,"gpt":0.2819530208665528,"spread":0.2702980794178357,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002752498,0.000283249,0.0002301962,0.0007473244,0.00056154,0.000936128,0.0002921286,0.0001427517,0.00001206585],"category_scores_gemma":[0.000007283641,0.0002699977,0.0000476095,0.00249159,0.00006586586,0.002811509,0.000003659,0.0001485827,0.00001831439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004675991,"about_ca_system_score_gemma":0.00009931059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007474039,"about_ca_topic_score_gemma":0.00001270892,"domain_scores_codex":[0.9981605,0.0001490163,0.0005097085,0.0003848572,0.0005379205,0.0002580252],"domain_scores_gemma":[0.9985657,0.00005793529,0.0002629392,0.0003543833,0.0005999755,0.0001590968],"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":[0.00003375485,0.0002855835,0.00008943787,0.0000336187,0.00003310155,0.000002470708,0.001548008,0.003480781,0.00002710379,0.9742741,0.0009519167,0.01924015],"study_design_scores_gemma":[0.001048416,0.0006681494,0.0004574185,0.0000694384,0.00002711465,0.00001847386,0.000109605,0.9909654,0.002697634,0.0004469727,0.003123298,0.0003680259],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002697024,0.00001114933,0.9957324,0.0002097524,0.0002374807,0.000332904,0.00002258507,0.0005576657,0.0001990957],"genre_scores_gemma":[0.9918452,0.0001525018,0.00254007,0.005087806,0.00004380507,0.00001519178,0.0002441937,0.00001747212,0.00005378741],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9931923,"threshold_uncertainty_score":0.9999752,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2130434120","doi":"10.1109/tvcg.2011.196","title":"Exploring Ambient and Artistic Visualization for Residential Energy Use Feedback","year":2011,"lang":"en","type":"article","venue":"IEEE Transactions on Visualization and Computer Graphics","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":113,"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":"Mitacs; BC Hydro","keywords":"Computer science; Context (archaeology); Human–computer interaction; Visualization; Energy consumption; Resource (disambiguation); Point (geometry); Consumption (sociology); Ubiquitous computing; Representation (politics); Assisted living; Multimedia; Key (lock); Computer security; Artificial intelligence; Ecology","retraction":null,"screen_n_in":null,"score":{"opus":0.1258361089463976,"gpt":0.2920547551213865,"spread":0.1662186461749889,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001450603,0.0002137197,0.000175696,0.0007347491,0.0004406313,0.0002399098,0.0001791627,0.0001170672,0.000006966762],"category_scores_gemma":[0.000007048812,0.0002335275,0.00005474214,0.0006963764,0.000120471,0.001515928,0.00001014765,0.0001201101,0.000002404519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003168586,"about_ca_system_score_gemma":0.00002018838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005914066,"about_ca_topic_score_gemma":0.00006816687,"domain_scores_codex":[0.9986217,0.00009091799,0.0003639333,0.0005105049,0.0001884242,0.0002245007],"domain_scores_gemma":[0.9990923,0.0001037217,0.0001467399,0.0002710135,0.0003148835,0.00007134566],"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":[0.00004575227,0.0001720281,0.0000585244,0.00002465562,0.00004748108,0.00000252288,0.001296313,0.00003915088,0.0002075749,0.9915864,0.0000899602,0.006429641],"study_design_scores_gemma":[0.0009761572,0.0008093136,0.002994916,0.00009519676,0.00004951287,0.00004603652,0.00007048036,0.9362004,0.04969565,0.007463308,0.001147178,0.0004518389],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04795048,0.000009301307,0.9503705,0.00002372015,0.00110278,0.0002159284,0.000006116828,0.0003096992,0.00001149457],"genre_scores_gemma":[0.9939365,0.000221131,0.005032591,0.0005418863,0.00005050378,0.0001270891,0.00001012476,0.00002599889,0.00005411962],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9841231,"threshold_uncertainty_score":0.9522973,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2133571633","doi":"10.1109/tvcg.2010.186","title":"Perceptual Guidelines for Creating Rectangular Treemaps","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Visualization and Computer Graphics","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":111,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Bar chart; Computer science; Rectangle; Pie chart; Luminance; Aspect ratio (aeronautics); Set (abstract data type); Scatter plot; Bar (unit); Tree (set theory); Data mining; Artificial intelligence; Statistics; Mathematics; Machine learning; Geometry","retraction":null,"screen_n_in":null,"score":{"opus":0.04870517782880583,"gpt":0.3426597224678382,"spread":0.2939545446390323,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003209331,0.0002122639,0.0001974439,0.0003511197,0.0004988325,0.0003643459,0.0003582822,0.0001375172,0.00002389718],"category_scores_gemma":[0.00002711216,0.0002053721,0.0001165709,0.0006536663,0.00007974866,0.0004350336,0.000006416774,0.0001705909,0.000006281951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008519324,"about_ca_system_score_gemma":0.00004744992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001117934,"about_ca_topic_score_gemma":0.00006102222,"domain_scores_codex":[0.9985722,0.00005534672,0.0004142533,0.0004666107,0.0002700602,0.0002214823],"domain_scores_gemma":[0.9986559,0.0001415681,0.0001075018,0.0003940083,0.000552304,0.0001487578],"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":[0.000008202048,0.0001686999,0.00003000167,0.00002928208,0.00003536197,0.000001091601,0.0007878387,0.0002415833,0.0002532099,0.9739283,0.002230696,0.02228572],"study_design_scores_gemma":[0.0005271645,0.0001776935,0.00005861371,0.00002679633,0.00002396454,0.00001572012,0.00005002634,0.9829388,0.001537137,0.001098059,0.01328742,0.000258589],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00299571,0.00001341157,0.9950934,0.0002208439,0.001029496,0.0002315994,0.00003047914,0.000319868,0.0000651789],"genre_scores_gemma":[0.8355719,0.0004025493,0.1480841,0.0139565,0.0007525684,0.0001115708,0.0001390692,0.00009836373,0.0008834337],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9826972,"threshold_uncertainty_score":0.8374832,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2054054049","doi":"10.1109/tvcg.2014.2346573","title":"Supporting Communication and Coordination in Collaborative Sensemaking","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Visualization and Computer Graphics","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":110,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; Division 29: Society for the Advancement of Psychotherapy; University of Victoria","keywords":"Sensemaking; Computer science; Set (abstract data type); Task (project management); Baseline (sea); Human–computer interaction; Visual analytics; Work (physics); Collaborative software; Information sharing; Analytics; Shared space; Knowledge management; Space (punctuation); World Wide Web; Data science; Visualization; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.01465804134012288,"gpt":0.3095497094786802,"spread":0.2948916681385573,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005036073,0.0001447045,0.0001646551,0.0004534488,0.000282004,0.0003079982,0.0001736231,0.00008056233,0.00000331851],"category_scores_gemma":[0.00001161974,0.0001555446,0.00002369651,0.001070793,0.00007432278,0.0005755984,0.000009964035,0.0001290459,0.000002011387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001884857,"about_ca_system_score_gemma":0.00002378629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001477103,"about_ca_topic_score_gemma":0.00007568234,"domain_scores_codex":[0.9987136,0.0002731828,0.0003370952,0.0003235141,0.0001915851,0.0001610882],"domain_scores_gemma":[0.9991686,0.0001752257,0.0001464432,0.0002700315,0.0001635973,0.00007606551],"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":[0.00000464118,0.0001047296,0.0003602252,0.00002574491,0.0000115113,8.466213e-7,0.001767496,0.0005765004,0.00001715755,0.9773304,0.0001450205,0.01965575],"study_design_scores_gemma":[0.0005160738,0.00009525167,0.0006765287,0.00005997066,0.000007865686,0.000007239549,0.00009312702,0.9940283,0.0003614098,0.00205963,0.001921502,0.0001731032],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006754435,0.00003153403,0.9924592,0.0002541095,0.0001218978,0.0001510608,0.000004171402,0.0001251787,0.00009846406],"genre_scores_gemma":[0.9952857,0.0001766247,0.003209586,0.001218732,0.0000146345,0.000009806715,0.00001698876,0.00001136107,0.00005651055],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9934518,"threshold_uncertainty_score":0.6342925,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2157348185","doi":"10.1109/tvcg.2008.117","title":"Cerebral: Visualizing Multiple Experimental Conditions on a Graph with Biological Context","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Visualization and Computer Graphics","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":110,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Institute of Infection and Immunity; University of British Columbia","funders":"","keywords":"Computer science; Graph; Graph database; Biological data; Theoretical computer science; Context (archaeology); Experimental data; Representation (politics); Biological network; Data mining; Data modeling; Graph theory; Human–computer interaction; Bioinformatics; Software engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.02330057183071473,"gpt":0.2863958354778509,"spread":0.2630952636471362,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005190299,0.0002024899,0.0001633778,0.0002037233,0.00036033,0.00003373991,0.00008575669,0.000133472,0.00001958076],"category_scores_gemma":[0.000001954632,0.000175595,0.000111263,0.0002656496,0.0002421523,0.00001209032,0.000003377718,0.0001043949,0.000003148617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009062765,"about_ca_system_score_gemma":0.00001812233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001938283,"about_ca_topic_score_gemma":0.00003208261,"domain_scores_codex":[0.9990084,0.00009253534,0.0001923996,0.0004080891,0.0001412282,0.0001573889],"domain_scores_gemma":[0.9995107,0.00002807806,0.00006481539,0.0002196858,0.00008742613,0.00008929455],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.005457344,0.02604048,0.04313754,0.0002075751,0.004701587,0.0003322842,0.008441892,0.006036454,0.6400397,0.2215738,0.03263681,0.01139456],"study_design_scores_gemma":[0.002055017,0.003790329,0.001728863,0.00005443144,0.00005214317,0.0001477467,0.0002446799,0.02895647,0.9588242,0.00005096099,0.003464601,0.0006306176],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4738791,0.00004190161,0.5257915,0.000006887488,0.0000266013,0.0001370761,0.000007890569,0.00006969451,0.00003936068],"genre_scores_gemma":[0.9976249,0.0003466413,0.0002543629,0.001497841,0.00004389634,0.00005560943,0.0001058665,0.00002477577,0.00004604656],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5255372,"threshold_uncertainty_score":0.7160555,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2966541941","doi":"10.1109/tvcg.2019.2934283","title":"What is Interaction for Data Visualization?","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Visualization and Computer Graphics","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":105,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Victoria","funders":"","keywords":"Visualization; Computer science; Visual analytics; Information visualization; Human–computer interaction; Data visualization; Context (archaeology); Data science; Confusion; Field (mathematics); Artificial intelligence; Psychology; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.04465670589119501,"gpt":0.3459959198558761,"spread":0.3013392139646811,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0003227127,0.0002612718,0.0002497627,0.0004973217,0.0002977535,0.001186581,0.0008072673,0.0001363157,0.00006165023],"category_scores_gemma":[0.000003960209,0.0002696916,0.00008909055,0.0009709615,0.00004653813,0.003630382,0.00002785665,0.000123937,0.00005440726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002598959,"about_ca_system_score_gemma":0.00005823878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007528031,"about_ca_topic_score_gemma":0.00001030294,"domain_scores_codex":[0.9979616,0.00009754726,0.0004537322,0.0008582175,0.0003771839,0.0002517595],"domain_scores_gemma":[0.9981319,0.0001712392,0.0001808584,0.001085829,0.0002917834,0.0001383802],"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":[0.00002859436,0.0004139419,0.00009393998,0.0001216163,0.0001124793,7.932875e-7,0.001172557,0.0005313628,0.00002093969,0.9692522,0.004676389,0.02357519],"study_design_scores_gemma":[0.0007591189,0.0002336205,0.000028431,0.00009706818,0.00003195588,0.000009271131,0.0001055187,0.9621944,0.0009076289,0.0008282544,0.03449262,0.0003121564],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0009407619,0.00005349346,0.9948789,0.0002427554,0.002986413,0.0005106048,0.00006361905,0.0002927672,0.00003070965],"genre_scores_gemma":[0.9521146,0.005457739,0.009642761,0.02880273,0.0003567254,0.00009396996,0.001271307,0.0001505074,0.002109658],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9852361,"threshold_uncertainty_score":0.9999755,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2068562326","doi":"10.1109/tvcg.2012.229","title":"Graphical Overlays: Using Layered Elements to Aid Chart Reading","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Visualization and Computer Graphics","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":102,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Overlay; Computer science; Bitmap; Bar chart; Pie chart; Visualization; Chart; Context (archaeology); Data visualization; Reading (process); Graphical user interface; Data mining; Information retrieval; Artificial intelligence; Programming language","retraction":null,"screen_n_in":null,"score":{"opus":0.0414411278657241,"gpt":0.322433338182983,"spread":0.2809922103172589,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003499202,0.0002478602,0.0002229953,0.0006900052,0.0004207731,0.000302369,0.0003373853,0.0001119787,0.00002387765],"category_scores_gemma":[0.000004681712,0.0002576463,0.00009418073,0.001601037,0.00004517987,0.0009095379,0.00001596942,0.0001513804,0.00002440944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000361223,"about_ca_system_score_gemma":0.00002990437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001167609,"about_ca_topic_score_gemma":0.000004807304,"domain_scores_codex":[0.9981631,0.0001306919,0.0004288678,0.0004245006,0.0004342895,0.000418572],"domain_scores_gemma":[0.9989057,0.00005557771,0.0001070642,0.0003993383,0.0001339947,0.0003983943],"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":[0.00001563381,0.0005706231,0.00153357,0.00003618975,0.00008685751,0.000002396986,0.001447942,0.0008639983,0.0002166705,0.9891412,0.0007751939,0.005309711],"study_design_scores_gemma":[0.0004918791,0.0001440617,0.0004455408,0.00006066855,0.00002852126,0.00002011241,0.000037444,0.9901781,0.001505571,0.0002357514,0.006488889,0.0003634737],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01150634,0.00001830571,0.986908,0.00006896949,0.0009777248,0.0002090145,0.00001903326,0.0002517011,0.00004092546],"genre_scores_gemma":[0.9844905,0.0001168821,0.01036638,0.004764822,0.0001466898,0.00001252198,0.00001790107,0.00002986082,0.00005450374],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9893141,"threshold_uncertainty_score":0.9999876,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2100108891","doi":"10.1109/tvcg.2009.109","title":"A Comparison of User-Generated and Automatic Graph Layouts","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Visualization and Computer Graphics","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":99,"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; Graph; Graph drawing; Graph Layout; Task (project management); Human–computer interaction; Engineering drawing; Theoretical computer science; Computer graphics (images); Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.02994184349847877,"gpt":0.3250477915719592,"spread":0.2951059480734805,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001489478,0.0001890913,0.0002872129,0.0004856601,0.0002103399,0.0001960211,0.0002323384,0.00009545728,0.000006783943],"category_scores_gemma":[0.000002662673,0.0001852922,0.00005932461,0.001149819,0.0000810298,0.0003730739,0.000004780134,0.0001085312,0.000001980035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007532596,"about_ca_system_score_gemma":0.00002805382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005550048,"about_ca_topic_score_gemma":0.000007831333,"domain_scores_codex":[0.9986668,0.0001083181,0.0004397852,0.0003407747,0.0002798236,0.0001645026],"domain_scores_gemma":[0.9992102,0.0000569915,0.0001550916,0.0002920688,0.0001547273,0.000130921],"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":[0.000008396993,0.0007274711,0.0004569069,0.00006034461,0.00005881296,0.000002016789,0.001679904,0.001179739,0.0001458366,0.9621161,0.0005194052,0.03304509],"study_design_scores_gemma":[0.0004963931,0.0003943969,0.001741568,0.00005432489,0.00002869838,0.00000793358,0.00002948144,0.9932395,0.00259821,0.0009126295,0.0002961822,0.000200716],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03724483,0.0000525733,0.9620376,0.00008590767,0.0001925771,0.00013547,0.00001046669,0.0002174329,0.0000231316],"genre_scores_gemma":[0.9953917,0.0001995401,0.00322517,0.001112915,0.00001527658,0.000003055204,0.00001453826,0.000009268066,0.00002856224],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9920597,"threshold_uncertainty_score":0.7555998,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2057444996","doi":"10.1109/tvcg.2013.167","title":"Interactive Exploration of Implicit and Explicit Relations in Faceted Datasets","year":2013,"lang":"en","type":"article","venue":"IEEE Transactions on Visualization and Computer Graphics","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":97,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Ontario Tech University; University of Toronto","funders":"","keywords":"Computer science; Sensemaking; Visualization; Semantics (computer science); Data visualization; Construct (python library); Information visualization; Visual analytics; Information retrieval; Data science; Focus (optics); Process (computing); Metaphor; Resource (disambiguation); Interactive visual analysis; Human–computer interaction; Data mining; Programming language","retraction":null,"screen_n_in":null,"score":{"opus":0.02688583473459327,"gpt":0.2989290787614324,"spread":0.2720432440268391,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001228773,0.0001553831,0.000187149,0.0006043472,0.0001255642,0.0001827637,0.0001829958,0.0000813626,0.00002157106],"category_scores_gemma":[0.000005505965,0.0001584774,0.00003275055,0.0009603117,0.00005364912,0.002067408,0.00001152964,0.0001271794,0.000009247035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001651861,"about_ca_system_score_gemma":0.00002307655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008332386,"about_ca_topic_score_gemma":0.00005498961,"domain_scores_codex":[0.9988109,0.0001103441,0.0004023867,0.0003487458,0.0001883439,0.0001392848],"domain_scores_gemma":[0.9992372,0.0001152846,0.0001344209,0.0002871075,0.0001358026,0.00009020727],"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":[0.00001181851,0.000487254,0.0004932716,0.00004993246,0.00005378561,0.000001517989,0.003956951,0.001562913,0.0002274492,0.9751453,0.0007935468,0.01721622],"study_design_scores_gemma":[0.0005182529,0.0001359298,0.002016881,0.00005916598,0.00001057311,0.000004677801,0.0001539707,0.9929675,0.001165799,0.002518513,0.0002747896,0.0001738999],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01467298,0.00001529891,0.9846207,0.000130661,0.0001312342,0.0002764171,0.00004617568,0.00007709122,0.00002948334],"genre_scores_gemma":[0.997278,0.0002441911,0.001765241,0.0005444748,0.00001017262,0.00003544603,0.00008516207,0.00001130526,0.00002600675],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9914047,"threshold_uncertainty_score":0.646252,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2135482287","doi":"10.1109/tvcg.2011.251","title":"Visual Thinking In Action: Visualizations As Used On Whiteboards","year":2011,"lang":"en","type":"article","venue":"IEEE Transactions on Visualization and Computer Graphics","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":92,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Microsoft (Canada); Research Canada; University of Calgary","funders":"","keywords":"Visualization; Computer science; Brainstorming; Perspective (graphical); Information visualization; Diagrammatic reasoning; Human–computer interaction; Data visualization; Coding (social sciences); Multimedia; Data science; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.05220544054999231,"gpt":0.3210782530160777,"spread":0.2688728124660854,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003668537,0.0003620241,0.0003080177,0.001301015,0.0005371512,0.0003840677,0.0005282141,0.0002086883,0.00009658211],"category_scores_gemma":[0.00000828602,0.0003774035,0.0001206239,0.002291298,0.0001067926,0.0009139961,0.00001575968,0.0003082517,0.00006314268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000586096,"about_ca_system_score_gemma":0.00009814262,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005782539,"about_ca_topic_score_gemma":0.0001183164,"domain_scores_codex":[0.9974247,0.0002619564,0.0005831641,0.0007382134,0.0006298293,0.0003621984],"domain_scores_gemma":[0.9988215,0.0001160301,0.0001736183,0.0004912328,0.0001832434,0.0002143855],"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":[0.00002858446,0.0009449204,0.000326712,0.0000269158,0.00004351396,0.00001397143,0.003671713,0.0005650971,0.0000100854,0.9900907,0.0001776062,0.004100235],"study_design_scores_gemma":[0.001259904,0.000803204,0.001174206,0.000149304,0.0000308808,0.00002728184,0.0001838461,0.984874,0.003445686,0.005581352,0.001872128,0.0005982661],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0127892,0.00001068722,0.9848322,0.00007575633,0.0009024058,0.0002783496,0.000009136406,0.0004672602,0.0006350217],"genre_scores_gemma":[0.9934008,0.0002981089,0.001632104,0.004216427,0.00007404626,0.00003697121,0.00003180294,0.00004763632,0.000262116],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9845093,"threshold_uncertainty_score":0.9998678,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}