{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":7,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":7,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"f73e1fb14606","filters":{"venue":"Annals of information systems"}},"results":[{"id":"W2087155295","doi":"10.1007/978-1-4419-1325-8_6","title":"Identity Management Architecture","year":2009,"lang":"en","type":"book-chapter","venue":"Annals of information systems","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":30,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Simon Fraser University","funders":"","keywords":"Identity management; Identity (music); Interoperability; Computer science; Knowledge management; Variety (cybernetics); Homeland security; Key (lock); Government (linguistics); Computer security; World Wide Web; Political science; Authentication (law); Artificial intelligence; Linguistics","authors":[{"name":"Uwe Glässer","is_ca":true},{"name":"Mona Vajihollahi","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.196613522345855,"gpt":0.404444976905021,"spread":0.2078314545591659,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001304988,0.0006212622,0.0004072768,0.001318805,0.002203221,0.007953051,0.001602879,0.001565895,0.02230021],"category_scores_gemma":[0.002019642,0.0005668125,0.0005292802,0.001901081,0.001966015,0.007509614,0.002872335,0.002339048,0.01042886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002739653,"about_ca_system_score_gemma":0.003055916,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005937069,"about_ca_topic_score_gemma":0.005667226,"domain_scores_codex":[0.998863,0.0002674691,0.00007128686,0.0002251487,0.0004300805,0.0001429952],"domain_scores_gemma":[0.9994387,0.00008846229,0.00002277739,0.0002193494,0.0001785611,0.00005210477],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00000802191,0.00002205606,0.0001083745,0.00002721301,0.000004815297,0.00002881987,0.0002169946,0.0009422196,0.0004609514,0.9272003,0.01637482,0.05460544],"study_design_scores_gemma":[0.000007084976,0.00001572722,0.0001977013,0.00009461016,0.00001644642,0.0001732837,0.0002479288,0.01441225,0.001620073,0.5009933,0.482205,0.00001668561],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.005649019,0.001921273,0.4701465,0.0053248,0.0006576363,0.0002137225,0.0003488928,0.003085878,0.5126523],"genre_scores_gemma":[0.1634217,0.004332204,0.345133,0.001488569,0.0004336869,0.0003830852,0.001731668,0.0007579888,0.4823181],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.02230021,"threshold_uncertainty_score":0.07460165,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W120760926","doi":"10.1007/978-1-4419-1306-7_10","title":"Variable Intensity Local Search","year":2009,"lang":"en","type":"book-chapter","venue":"Annals of information systems","topic":"Vehicle Routing Optimization Methods","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":false,"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":"Integer programming; Solver; Variable neighborhood search; Local search (optimization); Mathematical optimization; Heuristic; Variable (mathematics); Guided Local Search; Mathematics; Computer science; Integer (computer science); Metaheuristic","authors":[{"name":"Snežana Mitrović-Minić","is_ca":true},{"name":"Abraham P. Punnen","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04959168020910995,"gpt":0.2827534968050394,"spread":0.2331618165959295,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000541024,0.0007583339,0.001206011,0.0007314141,0.0005171778,0.001243899,0.001247394,0.001237303,0.01768986],"category_scores_gemma":[0.001799673,0.0005061667,0.0005303116,0.001395304,0.0009465344,0.001546375,0.00133483,0.001688339,0.005358323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008908826,"about_ca_system_score_gemma":0.0006888756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001760054,"about_ca_topic_score_gemma":0.00293742,"domain_scores_codex":[0.9997061,0.00008059658,0.00001070398,0.00006475635,0.0001124458,0.00002531594],"domain_scores_gemma":[0.999737,0.0001199508,0.0000170127,0.00005729858,0.00005466676,0.00001398005],"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":[0.00007636253,0.00007502837,0.0002235975,0.0002837682,0.0000609113,0.00006670063,0.0001008403,0.1445629,0.002128603,0.3460043,0.07832705,0.42809],"study_design_scores_gemma":[0.00004525459,0.00006767608,0.0003355557,0.0001358812,0.00004504997,0.0002228163,0.00005230345,0.5846158,0.002599801,0.2943208,0.1175163,0.00004278477],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004374589,0.007390223,0.8483286,0.0009711318,0.0005447891,0.00005590172,0.0001984309,0.0008912975,0.137245],"genre_scores_gemma":[0.1900709,0.007116491,0.470572,0.0009196186,0.0006070568,0.000388824,0.0008871956,0.001364274,0.3280736],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01768986,"threshold_uncertainty_score":0.05917847,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2107532708","doi":"10.1007/978-1-4419-1325-8_2","title":"Patterns of Word Use for Deception in Testimony","year":2009,"lang":"en","type":"book-chapter","venue":"Annals of information systems","topic":"Deception detection and forensic psychology","field":"Psychology","cited_by":8,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Queen's University","funders":"","keywords":"Deception; Interrogative; Commission; Psychology; Word (group theory); Interrogative word; Cognitive psychology; Social psychology; Computer science; Artificial intelligence; Political science; Linguistics; Law","authors":[{"name":"David B. Skillicorn","is_ca":true},{"name":"Ayron Little","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1131964122741586,"gpt":0.3574355469315308,"spread":0.2442391346573722,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00171385,0.0003025603,0.0003061435,0.002380054,0.0005006025,0.002061852,0.0004455483,0.0007398253,0.009916623],"category_scores_gemma":[0.04048059,0.000277952,0.000407169,0.002558131,0.0006558601,0.002152174,0.001175553,0.001122733,0.002301671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002828969,"about_ca_system_score_gemma":0.0002448119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000891356,"about_ca_topic_score_gemma":0.00142016,"domain_scores_codex":[0.9982269,0.0007032736,0.0002592971,0.0002165185,0.0004688951,0.0001251128],"domain_scores_gemma":[0.9457949,0.04568357,0.004331337,0.001858241,0.001982484,0.0003494903],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002393135,0.0002973158,0.5665731,0.001258129,0.0004249705,0.001167717,0.03705164,0.0007227992,0.04121843,0.005535917,0.0074199,0.3359369],"study_design_scores_gemma":[0.00002240875,0.000242216,0.9538167,0.0005336564,0.0001988584,0.006441087,0.009644669,0.00378088,0.006644018,0.009077777,0.00950625,0.0000914942],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9824301,0.003026658,0.002405665,0.000323044,0.00004428488,0.00004194568,0.001120349,0.00007170029,0.01053629],"genre_scores_gemma":[0.9917332,0.001100592,0.002690908,0.0001011775,0.00003209275,0.00003914135,0.0009291762,0.0001275423,0.003246226],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009916623,"threshold_uncertainty_score":0.03317446,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W88600376","doi":"10.1007/978-1-4419-1219-0","title":"Web 2.0 & Semantic Web","year":2009,"lang":"en","type":"book","venue":"Annals of information systems","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Athabasca University","funders":"","keywords":"World Wide Web; Semantic Web; Semantic Web Stack; Computer science; Social Semantic Web; Semantic analytics; Information retrieval","authors":[{"name":"Vladan Devedžić","is_ca":false},{"name":"Dragan Gašević","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05302063527009639,"gpt":0.2882122277612964,"spread":0.2351915924912,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005266987,0.001734333,0.001120481,0.005094569,0.0009788871,0.005473013,0.001558885,0.002209214,0.03401437],"category_scores_gemma":[0.00144547,0.0009785966,0.0006565687,0.01052359,0.00153846,0.008760307,0.002009516,0.002894951,0.05049013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001249831,"about_ca_system_score_gemma":0.001807574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002851318,"about_ca_topic_score_gemma":0.003451399,"domain_scores_codex":[0.9993014,0.00006073833,0.00004418634,0.000103162,0.0004539069,0.00003662426],"domain_scores_gemma":[0.9995116,0.0001924923,0.00003629514,0.00007610673,0.0001308944,0.00005256677],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001932721,0.00004556526,0.00007614796,0.001051077,0.00002716449,0.0001356964,0.0001465009,0.0009911418,0.001107054,0.1605616,0.5114859,0.3243527],"study_design_scores_gemma":[0.000003487962,0.000004283434,0.0000902002,0.0002175369,0.000006992985,0.0002091463,0.00003043387,0.0006056745,0.0003117388,0.06148336,0.9370255,0.00001164346],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0006850977,0.08532821,0.1302676,0.004649803,0.003490097,0.0002341691,0.003372841,0.005558704,0.7664135],"genre_scores_gemma":[0.009709523,0.1225725,0.1049088,0.004064699,0.002099923,0.000430226,0.01156061,0.004995521,0.7396581],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03401437,"threshold_uncertainty_score":0.1137894,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2761356019","doi":"10.1007/978-3-319-58097-5_11","title":"The Competitive Landscape of Mobile Communications Industry in Canada: Predictive Analytic Modeling with Google Trends and Twitter","year":2017,"lang":"en","type":"book-chapter","venue":"Annals of information systems","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Competitor analysis; Analytics; Social media; Predictive analytics; Sentiment analysis; Consumption (sociology); Tertiary sector of the economy; Big data; Advertising; Marketing; Business; Computer science; Data science; World Wide Web; Data mining; Artificial intelligence; Social science; Sociology","authors":[{"name":"Michal Szczech","is_ca":true},{"name":"Ozgur Turetken","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04813911698487055,"gpt":0.2953765382401987,"spread":0.2472374212553282,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001346675,0.0006332847,0.0005248357,0.001348857,0.001469945,0.003979544,0.001497158,0.0008874523,0.002025021],"category_scores_gemma":[0.005113045,0.0003687397,0.0008128347,0.004435422,0.0008343653,0.001780111,0.000851164,0.001588445,0.000400996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01301574,"about_ca_system_score_gemma":0.01878121,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.959556,"about_ca_topic_score_gemma":0.9667273,"domain_scores_codex":[0.9996728,0.00007752435,0.000009952687,0.00004413301,0.0001070503,0.00008853019],"domain_scores_gemma":[0.9983438,0.0009868429,0.0001172144,0.00005353511,0.0003773632,0.0001211775],"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":[0.0001271964,0.0001948875,0.1987471,0.0003116479,0.000288521,0.0004816936,0.002993837,0.3967854,0.0004208304,0.136723,0.09456477,0.1683611],"study_design_scores_gemma":[0.000007380451,0.00002108038,0.02527144,0.0001555983,0.00007163404,0.0000597777,0.002406358,0.924485,0.0002237948,0.02425611,0.02297734,0.0000645168],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7926776,0.02406554,0.06863955,0.0376108,0.0005404198,0.0001542214,0.01630239,0.0007703436,0.05923913],"genre_scores_gemma":[0.9533043,0.00896645,0.0162795,0.0005332408,0.0001936699,0.00006052887,0.004157576,0.0001309771,0.01637377],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04044396,"threshold_uncertainty_score":0.09443617,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W200532039","doi":"10.1007/978-1-4419-6287-4_8","title":"ONDOCS: Ordering Nodes to Detect Overlapping Community Structure","year":2010,"lang":"en","type":"book-chapter","venue":"Annals of information systems","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":3,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Outlier; Data mining; Metric (unit); Scalability; Intuition; Community structure; Machine learning; Theoretical computer science; Data science; Artificial intelligence; Mathematics; Engineering; Database","authors":[{"name":"Osmar R. Zai͏̈ane","is_ca":true},{"name":"Jörg Sander","is_ca":true},{"name":"Randy Goebel","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03586288736963758,"gpt":0.2878611232989965,"spread":0.251998235929359,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001236403,0.001538244,0.001732611,0.005017271,0.001421335,0.001967257,0.002081174,0.001108343,0.005957465],"category_scores_gemma":[0.006304768,0.0006803261,0.001146043,0.003446178,0.0007848503,0.002399216,0.002977479,0.001292637,0.002214901],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007423037,"about_ca_system_score_gemma":0.001652253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01277471,"about_ca_topic_score_gemma":0.02433097,"domain_scores_codex":[0.9992029,0.0001273578,0.00005302825,0.0001902491,0.0003060735,0.0001203236],"domain_scores_gemma":[0.9975386,0.001132563,0.0001423074,0.0005230691,0.0004110563,0.0002523956],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0007713631,0.0004823811,0.01459,0.0006074255,0.0002753168,0.0002693377,0.000538114,0.05112168,0.01025752,0.02031642,0.0933487,0.8074217],"study_design_scores_gemma":[0.0001909532,0.0001353502,0.004490249,0.00007611974,0.0001608604,0.0002796959,0.0004088059,0.8894702,0.009368126,0.06633368,0.02902544,0.00006060801],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05852874,0.0008552365,0.9095955,0.0005188556,0.0006042341,0.0007700804,0.009007103,0.01420053,0.005919685],"genre_scores_gemma":[0.1690631,0.0004707927,0.798395,0.0001874006,0.0002226535,0.0006041871,0.0177959,0.00125388,0.01200707],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01277471,"threshold_uncertainty_score":0.0254007,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2228746700","doi":"10.1007/978-1-4419-6287-4_11","title":"Integrating Genetic Algorithms and Fuzzy Logic for Web Structure Optimization","year":2010,"lang":"en","type":"book-chapter","venue":"Annals of information systems","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"","keywords":"Fuzzy logic; Restructuring; Rank (graph theory); Mathematics; Algorithm; Index (typography); Fuzzy classification; Fuzzy number; Fuzzy set operations; Value (mathematics); Computer science; Degree (music); Data mining; Fuzzy set; Artificial intelligence; Machine learning; Combinatorics; Programming language","authors":[{"name":"Iltae Lee","is_ca":true},{"name":"Negar Koochakzadeh","is_ca":true},{"name":"Keivan Kianmehr","is_ca":true},{"name":"Reda Alhajj","is_ca":true},{"name":"Jon Rokne","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03329288621915474,"gpt":0.2659942045610276,"spread":0.2327013183418729,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008465242,0.0005962524,0.0008282484,0.0009773714,0.0004169181,0.0009727571,0.001213879,0.001288685,0.002497352],"category_scores_gemma":[0.00233692,0.0003986578,0.0006615644,0.00133254,0.0005011248,0.001164925,0.0006114967,0.001055304,0.0004589853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008568497,"about_ca_system_score_gemma":0.0008822738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006943851,"about_ca_topic_score_gemma":0.008953563,"domain_scores_codex":[0.9997475,0.00007102479,0.00001094243,0.00002902043,0.0001223139,0.00001929854],"domain_scores_gemma":[0.9995444,0.0003044903,0.00002158683,0.00003224321,0.00008480465,0.0000123809],"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":[0.00002224712,0.00006617032,0.0002525026,0.00005464903,0.00004361678,0.00002663287,0.00003244237,0.7913346,0.001324612,0.02684773,0.001435785,0.178559],"study_design_scores_gemma":[0.000005673895,0.00001024338,0.00004104061,0.000008889844,0.000007946955,0.000007462832,0.000005586792,0.9810539,0.0003099387,0.0180237,0.0005220817,0.000003681224],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007705951,0.0005799597,0.9851059,0.0002072868,0.0000563405,0.00003287867,0.00002583193,0.0002194918,0.006066372],"genre_scores_gemma":[0.2138677,0.0009028511,0.7798593,0.000162587,0.0001272725,0.0001233267,0.00008700522,0.0001277995,0.004742057],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006943851,"threshold_uncertainty_score":0.01380688,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}