{"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"},"query_hash":"35d1202b5578","filters":{"venue":"Topics in intelligent engineering and informatics"}},"results":[{"id":"W177354053","doi":"10.1007/978-3-642-34422-0_13","title":"Multi-agent Systems in Industry: Current Trends & Future Challenges","year":2012,"lang":"en","type":"book-chapter","venue":"Topics in intelligent engineering and informatics","topic":"Scheduling and Optimization Algorithms","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Current (fluid); Engineering; Business; Computer science; Risk analysis (engineering); Industrial organization; Manufacturing engineering; Electrical engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.04450528891137564,"gpt":0.2532392326449854,"spread":0.2087339437336097,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002237634,0.0004286166,0.0004474176,0.0006931357,0.00001790367,0.00005810789,0.0001661583,0.0007613479,0.00004425259],"category_scores_gemma":[0.00001566268,0.0004462479,0.00005939456,0.0000873326,0.00001718882,0.0001394518,0.00005668256,0.001499639,0.00003434562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002170385,"about_ca_system_score_gemma":0.00001326324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003372522,"about_ca_topic_score_gemma":0.00001148125,"domain_scores_codex":[0.9984903,0.000005281917,0.0008292241,0.0001223917,0.0002024248,0.0003503459],"domain_scores_gemma":[0.9994215,0.00002924903,0.00008674108,0.0002852378,0.00003416251,0.0001431082],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001384658,0.00002099024,0.00003487624,0.001398753,0.00004660611,0.000002184198,0.004072625,0.7671434,2.064878e-7,0.01052542,0.000116385,0.2166371],"study_design_scores_gemma":[0.0001607031,0.000008794072,0.00005612223,0.0007600112,0.00001519363,0.000008955989,0.0002162251,0.489591,0.000003285875,0.00001266878,0.5087423,0.0004247523],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.003053631,0.7066204,0.1053693,0.0002717747,0.0346087,0.001694075,0.0002217497,0.0022468,0.1459135],"genre_scores_gemma":[0.01098411,0.7501295,0.1346565,0.0000858609,0.008494846,0.000304618,0.0009177297,0.0008304184,0.09359634],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.5086259,"threshold_uncertainty_score":0.999799,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2091656310","doi":"10.1007/978-3-642-28305-5_26","title":"Gesture Control: A New and Intelligent Man-Machine Interface","year":2012,"lang":"en","type":"book-chapter","venue":"Topics in intelligent engineering and informatics","topic":"Hand Gesture Recognition Systems","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa","funders":"","keywords":"Gesture; Gesture recognition; Computer science; Interface (matter); Human–computer interaction; Set (abstract data type); Multimedia; Input device; Artificial intelligence; Programming language","retraction":null,"screen_n_in":null,"score":{"opus":0.01619378859043505,"gpt":0.2224516820131143,"spread":0.2062578934226793,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003248248,0.0004314467,0.0005249945,0.0003438786,0.00003452355,0.0001940172,0.0003830072,0.0003691519,0.00002912134],"category_scores_gemma":[0.00004989702,0.0003900093,0.00007070948,0.00005957823,0.0000306625,0.0003374668,0.0002680977,0.0007183505,0.00006511071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008635683,"about_ca_system_score_gemma":0.00003752113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001367688,"about_ca_topic_score_gemma":0.000009956333,"domain_scores_codex":[0.9983645,0.000009693131,0.0008426122,0.0001985265,0.00025473,0.0003299048],"domain_scores_gemma":[0.9989347,0.0001352424,0.000203566,0.0004088182,0.00005918848,0.0002584369],"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":[0.00001263835,0.00003230056,0.0001657973,0.001519043,0.0002561844,0.00001716052,0.0144616,0.003763379,0.000005168828,0.3847065,0.001371344,0.5936888],"study_design_scores_gemma":[0.000332745,0.0001045151,0.00003806009,0.001136358,0.00003849378,0.0001632944,0.00006436316,0.08708144,0.0001496277,0.002656414,0.9075558,0.0006788797],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.0001041333,0.01624951,0.9468548,0.00031735,0.00111008,0.000499659,0.00001451826,0.0001833544,0.03466663],"genre_scores_gemma":[0.2142501,0.09956641,0.1843195,0.003939394,0.005383676,0.0001661122,0.0001737812,0.0005677814,0.4916332],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9061845,"threshold_uncertainty_score":0.9998552,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W186273348","doi":"10.1007/978-3-642-28305-5_18","title":"A Case Study on Hardware/Software Codesign in Embedded Artificial Neural Networks","year":2012,"lang":"en","type":"book-chapter","venue":"Topics in intelligent engineering and informatics","topic":"Advanced Memory and Neural Computing","field":"Engineering","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 Ottawa","funders":"","keywords":"Computer science; Software; Design space exploration; Artificial neural network; Scope (computer science); Computer architecture; Domain (mathematical analysis); Embedded system; Coprocessor; Software engineering; Operating system; Artificial intelligence; Programming language","retraction":null,"screen_n_in":null,"score":{"opus":0.04624003792635185,"gpt":0.2525285264969291,"spread":0.2062884885705772,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002019074,0.0004229756,0.0004447632,0.0003238755,0.00003804428,0.00004513158,0.0001227852,0.000248347,0.00001385945],"category_scores_gemma":[0.00003849544,0.0004473632,0.00005568267,0.00007075568,0.00001670546,0.0001579459,0.00006844425,0.001121614,0.000007714996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001279776,"about_ca_system_score_gemma":0.000005882535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002284667,"about_ca_topic_score_gemma":0.000009683843,"domain_scores_codex":[0.9985013,0.000007961111,0.0008329209,0.0001305438,0.0001464539,0.0003808293],"domain_scores_gemma":[0.9993852,0.0001618503,0.00007391673,0.0002588073,0.00001999336,0.0001001755],"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":[0.000007348027,0.00001923666,0.00003863638,0.0002038421,0.00002116439,0.0004404873,0.003122899,0.9562798,0.000001002895,0.001127741,0.00001401051,0.03872391],"study_design_scores_gemma":[0.0001959842,0.0001566002,0.00001334586,0.0003912129,0.0000251023,0.0003586807,0.0006993935,0.9949101,0.0001109753,0.0001614239,0.002345616,0.0006315291],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6144621,0.003452262,0.356211,0.00001229256,0.005799399,0.003347205,0.00003892119,0.001633344,0.01504347],"genre_scores_gemma":[0.9952638,0.0003929223,0.001899806,0.00005551453,0.0006269145,0.00003422494,0.0000228367,0.0001380348,0.001565939],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3808017,"threshold_uncertainty_score":0.9997978,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}