{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":3,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":3,"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":"d97cea0a8478","filters":{"venue":"World Scientific encyclopedia with semantic computing and robotic intelligence"}},"results":[{"id":"W2609094877","doi":"10.1142/9789813227927_0001","title":"Open information extraction","year":2017,"lang":"en","type":"book-chapter","venue":"World Scientific encyclopedia with semantic computing and robotic intelligence","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":false,"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; Infinitive; Verb; Relationship extraction; Verb phrase; Artificial intelligence; Tuple; Noun; Noun phrase; Relation (database); Variety (cybernetics); Linguistics; Phrase; Simple (philosophy); Information extraction; Mathematics; Data mining; Philosophy","authors":[{"name":"Duc-Thuan Vo","is_ca":true},{"name":"Ebrahim Bagheri","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01962821869585735,"gpt":0.2892205845926096,"spread":0.2695923658967522,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001444433,0.001790158,0.001286135,0.01329057,0.002021387,0.00551555,0.001527568,0.001187103,0.08492113],"category_scores_gemma":[0.007662589,0.000904019,0.001759249,0.0109096,0.0007063807,0.007573886,0.005431529,0.001697762,0.08911403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007999243,"about_ca_system_score_gemma":0.002549482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001441149,"about_ca_topic_score_gemma":0.002033107,"domain_scores_codex":[0.9980731,0.0001861838,0.0002894634,0.0004933288,0.0007968582,0.0001610598],"domain_scores_gemma":[0.9970432,0.0006685014,0.0001721149,0.001071008,0.000924797,0.0001203677],"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":[0.0001405408,0.00007594415,0.0008264508,0.001150931,0.00007448051,0.0002923607,0.000227439,0.0005003338,0.005414603,0.03284486,0.2619798,0.6964723],"study_design_scores_gemma":[0.00001886615,0.00002539515,0.001107112,0.0003383715,0.00008727898,0.0006151608,0.0001809589,0.003425402,0.01442356,0.04064701,0.939082,0.00004880574],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007651605,0.007940133,0.4958123,0.002103858,0.0024615,0.001623632,0.1459995,0.06454189,0.2718657],"genre_scores_gemma":[0.04568717,0.007831333,0.4628355,0.001170228,0.0009353179,0.001407296,0.3091052,0.009360268,0.1616676],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.08492113,"threshold_uncertainty_score":0.2840894,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2471081407","doi":"10.1142/9789813227927_0014","title":"Business process mining","year":2017,"lang":"en","type":"book-chapter","venue":"World Scientific encyclopedia with semantic computing and robotic intelligence","topic":"Business Process Modeling and Analysis","field":"Business, Management and Accounting","cited_by":7,"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 (computing); Process management; Business; Computer science; Programming language","authors":[{"name":"Asef Pourmasoumi","is_ca":true},{"name":"Ebrahim Bagheri","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02317949950099091,"gpt":0.247719734862407,"spread":0.2245402353614161,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006073577,0.00194806,0.001531667,0.009131202,0.002204242,0.006943131,0.004331177,0.002031536,0.01672547],"category_scores_gemma":[0.01902212,0.0007889429,0.002509954,0.01174582,0.0007649208,0.005003599,0.002851059,0.001918728,0.01982217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001638082,"about_ca_system_score_gemma":0.004783074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002975618,"about_ca_topic_score_gemma":0.002548547,"domain_scores_codex":[0.9924251,0.001398395,0.0007811768,0.001395502,0.003662088,0.0003378281],"domain_scores_gemma":[0.9906753,0.003576831,0.0009433496,0.001730756,0.00285286,0.0002208033],"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":[0.0001055404,0.0002969962,0.003872183,0.002377691,0.0002431799,0.0006540391,0.0006392567,0.006559947,0.001796342,0.0815536,0.1022187,0.7996825],"study_design_scores_gemma":[0.00006041985,0.00008329197,0.002764862,0.001501292,0.0001406922,0.001444353,0.0007488531,0.05098224,0.006621517,0.145637,0.7899362,0.00007926701],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008264289,0.01296074,0.8142945,0.00494743,0.0008685752,0.004795996,0.02375203,0.01256062,0.1175558],"genre_scores_gemma":[0.08484869,0.01693976,0.7819954,0.001800968,0.0006078015,0.002856895,0.07073504,0.001568041,0.03864743],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01672547,"threshold_uncertainty_score":0.05595231,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4235963863","doi":"10.1142/9789813227927_0002","title":"Methods and resources for computing semantic relatedness","year":2017,"lang":"en","type":"book-chapter","venue":"World Scientific encyclopedia with semantic computing and robotic intelligence","topic":"Semantic Web and Ontologies","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":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Semantic similarity; Data science; Artificial intelligence","authors":[{"name":"Yue Feng","is_ca":true},{"name":"Ebrahim Bagheri","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03129535613349133,"gpt":0.3111661469761687,"spread":0.2798707908426774,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005595051,0.001546972,0.001875172,0.01509951,0.001898492,0.007177258,0.004150562,0.001767775,0.01305701],"category_scores_gemma":[0.02135042,0.0009471262,0.002288442,0.01720411,0.002564941,0.01626649,0.005240388,0.00262972,0.006719653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001702411,"about_ca_system_score_gemma":0.0021216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003156704,"about_ca_topic_score_gemma":0.003567025,"domain_scores_codex":[0.9945064,0.001350525,0.0006212683,0.001012497,0.00234749,0.0001618007],"domain_scores_gemma":[0.9932259,0.003524431,0.0002524682,0.00202353,0.0008092066,0.0001645307],"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":[0.00006355458,0.0001040211,0.000757534,0.0008542194,0.0001837176,0.0001141561,0.0004889324,0.005299279,0.001382881,0.480305,0.02232453,0.488122],"study_design_scores_gemma":[0.00001405778,0.00001659362,0.0003907277,0.0002779248,0.00008252844,0.0002235241,0.0002859124,0.03524594,0.002481754,0.887612,0.07332335,0.00004580954],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001619442,0.00379477,0.9794567,0.0005627062,0.0002004361,0.0001889523,0.001628908,0.001677811,0.01087024],"genre_scores_gemma":[0.02649401,0.00355775,0.9569262,0.0002720123,0.0002362407,0.000742121,0.004823212,0.000528648,0.006419873],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01509951,"threshold_uncertainty_score":0.04368001,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}