{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":5,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":5,"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":"4ce49ee11cac","filters":{"venue":"Encyclopedia with Semantic Computing and Robotic Intelligence"}},"results":[{"id":"W2601078634","doi":"10.1142/s2425038416300019","title":"Community detection in social networks","year":2017,"lang":"en","type":"article","venue":"Encyclopedia with Semantic Computing and Robotic Intelligence","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":42,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University; University of New Brunswick","funders":"","keywords":"Homophily; Automatic summarization; Social network (sociolinguistics); Social network analysis; Data science; Network science; Social media; Sociology; Computer science; World Wide Web; Internet privacy; Complex network; Social science; Artificial intelligence","authors":[{"name":"Hossein Fani","is_ca":true},{"name":"Ebrahim Bagheri","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01669501003673413,"gpt":0.2863276148949625,"spread":0.2696326048582284,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00324207,0.0009997817,0.001257155,0.008950153,0.001937464,0.00259515,0.001648834,0.002250407,0.001318085],"category_scores_gemma":[0.01815988,0.0005782614,0.001240169,0.004634022,0.001376448,0.003718164,0.002830584,0.001471945,0.0008103282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001279338,"about_ca_system_score_gemma":0.001101829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003580973,"about_ca_topic_score_gemma":0.002399545,"domain_scores_codex":[0.9950373,0.001809019,0.0002593686,0.001286941,0.001280745,0.0003266368],"domain_scores_gemma":[0.9925073,0.004494095,0.0009775751,0.0006538707,0.001021368,0.0003458257],"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":[0.0005500588,0.0004052446,0.03339291,0.002273099,0.0007888834,0.001333412,0.001870894,0.1252812,0.01538803,0.1617677,0.03076413,0.6261845],"study_design_scores_gemma":[0.00004797353,0.0001058488,0.006224908,0.0002167617,0.0001024306,0.001159679,0.0007844418,0.7909568,0.006857809,0.1680652,0.02540809,0.00007003966],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04732203,0.003646291,0.939988,0.0007261221,0.0002321428,0.0004685005,0.001160169,0.001295363,0.005161327],"genre_scores_gemma":[0.5609481,0.002404825,0.4270306,0.0003348505,0.0004193918,0.0007177573,0.002815547,0.0002093128,0.005119596],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008950153,"threshold_uncertainty_score":0.01714593,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2963318887","doi":"10.1142/s2425038416300032","title":"Open information extraction","year":2017,"lang":"en","type":"article","venue":"Encyclopedia with Semantic Computing and Robotic Intelligence","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":24,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Natural language processing; Relationship extraction; Verb; Infinitive; Artificial intelligence; Verb phrase; Noun; Noun phrase; Variety (cybernetics); Tuple; Relation (database); Linguistics; Phrase; Information extraction; Mathematics; Data mining","authors":[{"name":"Duc-Thuan Vo","is_ca":true},{"name":"Ebrahim Bagheri","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01517556479377621,"gpt":0.3063630140236197,"spread":0.2911874492298435,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004459012,0.001909602,0.001763545,0.01148872,0.002093018,0.007578087,0.003445993,0.002185363,0.02842118],"category_scores_gemma":[0.02491648,0.001115514,0.002577753,0.01011212,0.001516263,0.01638305,0.01003855,0.002763285,0.02636748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001336844,"about_ca_system_score_gemma":0.003033043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001591215,"about_ca_topic_score_gemma":0.001717335,"domain_scores_codex":[0.9947947,0.0009002879,0.0007577769,0.001182018,0.002023466,0.0003417821],"domain_scores_gemma":[0.98207,0.005272519,0.0009633977,0.007379206,0.003884248,0.0004307131],"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":[0.0002471803,0.0001333842,0.002037443,0.001507785,0.0001833801,0.0004958255,0.0006313153,0.00149953,0.004970551,0.0813326,0.1175456,0.7894154],"study_design_scores_gemma":[0.00005382913,0.00008296008,0.001832546,0.000745144,0.0001702883,0.001216465,0.0006277597,0.02680617,0.02680141,0.2372334,0.7042713,0.0001588462],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005200861,0.004781847,0.8750032,0.001821885,0.00063861,0.0008708901,0.02301481,0.04029794,0.04836982],"genre_scores_gemma":[0.04637056,0.004869898,0.8272506,0.001305224,0.0005098591,0.000732485,0.09024716,0.004311108,0.02440305],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02842118,"threshold_uncertainty_score":0.09507829,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2963373420","doi":"10.1142/s2425038416300020","title":"Event identification in social networks","year":2017,"lang":"en","type":"article","venue":"Encyclopedia with Semantic Computing and Robotic Intelligence","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":15,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Event (particle physics); Identification (biology); Computer science; Data science; Social media; Complex event processing; Social network (sociolinguistics); World Wide Web","authors":[{"name":"Fattane Zarrinkalam","is_ca":true},{"name":"Ebrahim Bagheri","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.012267730497794,"gpt":0.2935383517964765,"spread":0.2812706212986825,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001305659,0.0008804079,0.0007263214,0.00513106,0.001127154,0.002363558,0.0009304113,0.001472919,0.001782028],"category_scores_gemma":[0.008416893,0.0004274444,0.0007686786,0.003996015,0.0007626332,0.00423085,0.002037932,0.001020694,0.001026871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009723545,"about_ca_system_score_gemma":0.0005304024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003447244,"about_ca_topic_score_gemma":0.002167147,"domain_scores_codex":[0.9976892,0.0007669567,0.0001600632,0.0006750944,0.0005487018,0.0001599279],"domain_scores_gemma":[0.9968506,0.001857964,0.0005760358,0.0002749821,0.0003166353,0.0001238764],"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":[0.0005531179,0.0003121575,0.04290191,0.001729268,0.0005024773,0.002262891,0.002500877,0.1314972,0.01273934,0.1891293,0.02400563,0.5918658],"study_design_scores_gemma":[0.00002699806,0.00007948698,0.01277873,0.0002045942,0.0001218147,0.001417251,0.00136143,0.6906509,0.004968941,0.2459486,0.04236142,0.00007976453],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07207241,0.006730767,0.9033697,0.001515115,0.0003161888,0.0004461773,0.003383206,0.001130769,0.01103572],"genre_scores_gemma":[0.7703469,0.006343055,0.2094959,0.000327038,0.0006184921,0.0004534264,0.005322225,0.0001099365,0.006983032],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00513106,"threshold_uncertainty_score":0.007054985,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2962756927","doi":"10.1142/s2425038416300044","title":"Business process mining","year":2017,"lang":"en","type":"article","venue":"Encyclopedia with Semantic Computing and Robotic Intelligence","topic":"Business Process Modeling and Analysis","field":"Business, Management and Accounting","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Process mining; Process (computing); Business process discovery; Business process; Business process management; Computer science; Conformance checking; Event (particle physics); Knowledge management; Status quo; Process management; Data science; Data mining; Business process modeling; Business; Work in process; Marketing","authors":[{"name":"Asef Pourmasoumi","is_ca":true},{"name":"Ebrahim Bagheri","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01787750539954986,"gpt":0.2582775236203857,"spread":0.2404000182208358,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007928271,0.001966458,0.001771621,0.01122024,0.002498051,0.006711107,0.004283638,0.002147332,0.01145137],"category_scores_gemma":[0.02695925,0.0008317996,0.002795885,0.01226775,0.0008139295,0.004524094,0.002736083,0.002097094,0.01269259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001734729,"about_ca_system_score_gemma":0.006078798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004049024,"about_ca_topic_score_gemma":0.00351518,"domain_scores_codex":[0.9883446,0.002237956,0.001483456,0.002131198,0.005259695,0.0005431143],"domain_scores_gemma":[0.9842182,0.005926064,0.001918871,0.002999607,0.004581966,0.0003552202],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002301692,0.0005959208,0.01180308,0.003470128,0.0005184555,0.001267115,0.0009280492,0.01292693,0.003356162,0.08196975,0.0974794,0.7854548],"study_design_scores_gemma":[0.000132017,0.000186014,0.007381807,0.001795844,0.0003110877,0.002286321,0.001387444,0.1177976,0.01240352,0.155687,0.700492,0.000139375],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.01454127,0.007823839,0.8366766,0.004803644,0.0006543003,0.007256039,0.03950348,0.01407173,0.07466912],"genre_scores_gemma":[0.1349846,0.009262462,0.7471201,0.001430988,0.0004291754,0.003499102,0.08444246,0.001101536,0.01772964],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01145137,"threshold_uncertainty_score":0.04192919,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2598150924","doi":"10.1142/s2425038416300056","title":"Methods and resources for computing semantic relatedness","year":2017,"lang":"en","type":"article","venue":"Encyclopedia with Semantic Computing and Robotic Intelligence","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"WordNet; Computer science; Information retrieval; Semantic similarity; Key (lock); Section (typography); Selection (genetic algorithm); Resource (disambiguation); Knowledge base; Similarity (geometry); Representation (politics); Natural language processing; Artificial intelligence","authors":[{"name":"Yue Feng","is_ca":true},{"name":"Ebrahim Bagheri","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01801676500873844,"gpt":0.3327686051755747,"spread":0.3147518401668362,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01039255,0.002741993,0.002131102,0.03732538,0.00196419,0.006948071,0.004337165,0.002925182,0.01244222],"category_scores_gemma":[0.06197668,0.0009484844,0.002595709,0.03466979,0.002559982,0.01274124,0.005573528,0.00273648,0.01091433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002843465,"about_ca_system_score_gemma":0.003673177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003893572,"about_ca_topic_score_gemma":0.00372379,"domain_scores_codex":[0.9764104,0.007610889,0.002546465,0.00373706,0.009183103,0.0005121564],"domain_scores_gemma":[0.9698655,0.0170373,0.002995378,0.005897731,0.003779639,0.0004244773],"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":[0.0001420582,0.0002388098,0.004908755,0.004227977,0.0005444319,0.0002601706,0.001231426,0.0108713,0.003207253,0.2162641,0.04687333,0.7112305],"study_design_scores_gemma":[0.00007245185,0.000159709,0.009730142,0.001920552,0.0002582785,0.001491744,0.001510403,0.0809975,0.009093917,0.5706592,0.3237523,0.0003538762],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004133316,0.008336371,0.9473475,0.001247707,0.000262737,0.001127793,0.01093886,0.005236532,0.02136923],"genre_scores_gemma":[0.04046979,0.004995354,0.9276689,0.000482918,0.0003763958,0.003309107,0.01667115,0.0009223418,0.005104008],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03732538,"threshold_uncertainty_score":0.05496168,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}