{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":15,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":15,"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":"bc515f446d29","filters":{"venue":"Series in machine perception and artificial intelligence"}},"results":[{"id":"W1536864280","doi":"10.1142/4648","title":"Hidden Markov Models","year":2001,"lang":"en","type":"book","venue":"Series in machine perception and artificial intelligence","topic":"Handwritten Text Recognition Techniques","field":"Computer Science","cited_by":79,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Hidden Markov model; Markov chain; Artificial intelligence; Machine learning","retraction":null,"screen_n_in":null,"score":{"opus":0.03608557462599119,"gpt":0.2853434635284394,"spread":0.2492578889024482,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000435357,0.0003980906,0.0004175931,0.0004573673,0.0001481164,0.0003346023,0.0007616644,0.0003615262,0.0007105509],"category_scores_gemma":[0.00003464284,0.0004080335,0.0001054417,0.0002564983,0.0002748934,0.0009829006,0.0004155824,0.0006411669,0.0002125427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001602949,"about_ca_system_score_gemma":0.0001191498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007441139,"about_ca_topic_score_gemma":0.000343181,"domain_scores_codex":[0.9977626,0.0001083319,0.0006785755,0.0007654975,0.0003370392,0.000347985],"domain_scores_gemma":[0.9989944,0.0000634578,0.0001636887,0.0005379066,0.0001189072,0.0001216768],"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":[0.00001927539,0.00004146024,0.000006038747,0.00003836121,0.000006458475,0.0000352349,0.001025039,0.000008937173,0.0001369358,0.1147495,0.001469379,0.8824634],"study_design_scores_gemma":[0.00002308579,0.0001498796,0.00004751852,0.0002277672,0.000008927856,0.0001050634,0.0001962675,0.04139499,0.000292351,0.9452041,0.01172757,0.0006224032],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.0001380896,0.0002477422,0.7627964,0.001168897,0.0003459714,0.0004454215,0.00002864776,0.0004867311,0.2343421],"genre_scores_gemma":[0.05419768,0.01753063,0.2137929,0.002195107,0.001097753,0.0002829897,0.0003642919,0.000190486,0.7103482],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.881841,"threshold_uncertainty_score":0.9998372,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2397512588","doi":"10.1142/9789812834461_0006","title":"DEMPSTER-SHAFER'S BASIC PROBABILITY ASSIGNMENT BASED ON FUZZY MEMBERSHIP FUNCTIONS","year":2009,"lang":"en","type":"book-chapter","venue":"Series in machine perception and artificial intelligence","topic":"Fuzzy Logic and Control Systems","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Dempster–Shafer theory; Fuzzy logic; Computer science; Artificial intelligence; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.04499356882377524,"gpt":0.2564490949038696,"spread":0.2114555260800944,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007149669,0.0004861752,0.000493753,0.0002558703,0.0002544414,0.0002650716,0.0005384375,0.0003237924,0.0004444554],"category_scores_gemma":[0.0000549241,0.0004324506,0.000167878,0.0001220757,0.0002379885,0.0003047499,0.000118146,0.0006068521,0.0002715597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000234929,"about_ca_system_score_gemma":0.0000910566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006916888,"about_ca_topic_score_gemma":0.0005998609,"domain_scores_codex":[0.9972689,0.0001579406,0.0007585903,0.0009698105,0.0004865711,0.0003581698],"domain_scores_gemma":[0.9986577,0.0001246423,0.000205504,0.0007634658,0.00008970931,0.0001589655],"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":[0.0001547714,0.0001240795,0.00005918404,0.00005213224,0.00001086018,0.00001629723,0.0003975698,0.002627565,0.00006833037,0.5955414,0.0001102842,0.4008376],"study_design_scores_gemma":[0.0001150711,0.001108965,0.0006763971,0.0003414828,0.00002801096,0.00001953618,0.0001756482,0.0558416,0.00003464588,0.9282454,0.01251435,0.0008988588],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0003394432,0.0002664257,0.1450524,0.006507838,0.00140808,0.001450158,0.00005267657,0.0003815258,0.8445414],"genre_scores_gemma":[0.941082,0.0001155876,0.002645165,0.001496457,0.0003859981,0.00008526736,0.00005532853,0.00003517537,0.05409903],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9407426,"threshold_uncertainty_score":0.9998127,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4298445647","doi":"10.1142/5760","title":"Computational Intelligence in Software Quality Assurance","year":2005,"lang":"en","type":"book","venue":"Series in machine perception and artificial intelligence","topic":"Software Reliability and Analysis Research","field":"Computer Science","cited_by":9,"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; Quality assurance; Software quality; Software quality assurance; Quality (philosophy); Software; Software engineering; Engineering; Software development; Operations management; Operating system; Physics","retraction":null,"screen_n_in":null,"score":{"opus":0.04175911062487599,"gpt":0.3502769279419389,"spread":0.308517817317063,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001678874,0.0004325285,0.0006646056,0.0006507724,0.0001797596,0.0003443643,0.001080386,0.0003566866,0.0005146151],"category_scores_gemma":[0.0007094202,0.0004462627,0.0001635665,0.0007375986,0.0005530011,0.0007910121,0.0004858849,0.001123092,0.0002317074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004043673,"about_ca_system_score_gemma":0.0004173583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003101127,"about_ca_topic_score_gemma":0.00431025,"domain_scores_codex":[0.9958845,0.0003812946,0.001336066,0.001130517,0.0007724268,0.0004952328],"domain_scores_gemma":[0.9979895,0.000801545,0.0002211247,0.0006160013,0.0002225419,0.0001492379],"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":[0.00005561682,0.0001834556,0.001537159,0.0001896526,0.00001355307,0.00002348295,0.00184669,0.04404179,0.00001257406,0.09997348,0.0001388782,0.8519837],"study_design_scores_gemma":[0.00005653917,0.0001516965,0.007939368,0.0004763514,0.000008495284,0.00003502098,0.0004143345,0.3310557,0.00003733255,0.6515616,0.007199968,0.001063633],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0007982153,0.000729012,0.9906786,0.001927092,0.0002462951,0.0004154691,0.00004506688,0.0001762322,0.004984029],"genre_scores_gemma":[0.406647,0.01303723,0.4538314,0.001961092,0.001203815,0.0002779705,0.0007210711,0.0001749038,0.1221455],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.85092,"threshold_uncertainty_score":0.9997989,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3107167424","doi":"10.1142/9789811226830_0001","title":"The Lognormality Principle: A Personalized Survey","year":2020,"lang":"en","type":"book-chapter","venue":"Series in machine perception and artificial intelligence","topic":"Motor Control and Adaptation","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science","retraction":null,"screen_n_in":null,"score":{"opus":0.09986709401256992,"gpt":0.3200571626596624,"spread":0.2201900686470925,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005962381,0.0002855099,0.0002858327,0.00006033019,0.0004026355,0.0001973425,0.0002662801,0.0001447085,0.0007402699],"category_scores_gemma":[0.0007672154,0.0002166279,0.00008606295,0.00007539441,0.0006757077,0.0001686465,0.0001283675,0.0005251636,0.000158239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004544258,"about_ca_system_score_gemma":0.00005109436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001451913,"about_ca_topic_score_gemma":0.002224484,"domain_scores_codex":[0.9981385,0.0002288316,0.0005482492,0.0005510091,0.0003130796,0.0002203216],"domain_scores_gemma":[0.9990948,0.000350743,0.0001859492,0.0002172751,0.00005531946,0.000095954],"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":[0.000754256,0.00002159008,0.00007804328,0.00003289901,0.000005814334,0.00001886929,0.0009781804,0.00004698433,0.006301343,0.8626892,0.0000216976,0.1290511],"study_design_scores_gemma":[0.000320491,0.0008143121,0.01524728,0.0002584874,0.00006673693,0.00009729372,0.001052353,0.08374092,0.001680044,0.4801753,0.4143171,0.002229705],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05440128,0.00471655,0.1088379,0.05099111,0.009318201,0.01125008,0.00368124,0.001616046,0.7551876],"genre_scores_gemma":[0.906091,0.003114314,0.00008883456,0.001077553,0.0002663814,0.00003121491,0.00006859881,0.00004610307,0.08921599],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8516897,"threshold_uncertainty_score":0.8833831,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2500334756","doi":"10.1142/9789812562432_0007","title":"WEB USAGE MINING: COMPARISON OFCONVENTIONAL, FUZZY, AND ROUGH SET CLUSTERING","year":2004,"lang":"en","type":"book-chapter","venue":"Series in machine perception and artificial intelligence","topic":"Rough Sets and Fuzzy Logic","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":"Saint Mary's University","funders":"","keywords":"Computer science; Cluster analysis; Data mining; Web mining; Rough set; Web application; Fuzzy clustering; Artificial intelligence; World Wide Web; Web page","retraction":null,"screen_n_in":null,"score":{"opus":0.07002029042329683,"gpt":0.3096873790978043,"spread":0.2396670886745075,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003420834,0.000388425,0.000447583,0.0002316744,0.0002388901,0.0003765404,0.0004084487,0.0002515232,0.0004440441],"category_scores_gemma":[0.00002075957,0.0003762262,0.00008216911,0.00008511719,0.0003699234,0.0004862519,0.0004956948,0.0004314038,0.00006825681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007624274,"about_ca_system_score_gemma":0.00005846335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008058608,"about_ca_topic_score_gemma":0.0008572319,"domain_scores_codex":[0.9979763,0.00004248888,0.0006875506,0.0007223344,0.0002811428,0.0002901792],"domain_scores_gemma":[0.9992285,0.00005240972,0.0002026334,0.0003491355,0.00005036132,0.0001169509],"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":[0.00006597964,0.00006188099,0.0003095537,0.0001418055,0.00002188637,0.00004424669,0.005315238,0.001335001,0.0001376841,0.6713341,0.0001467907,0.3210858],"study_design_scores_gemma":[0.0002028722,0.0006782311,0.001459415,0.0007345281,0.00003770499,0.0001912842,0.001192729,0.2492671,0.0000440866,0.7137477,0.03088801,0.00155631],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02887328,0.006522841,0.3835169,0.01073465,0.005108149,0.002443079,0.0003280666,0.000967296,0.5615057],"genre_scores_gemma":[0.9470042,0.004150333,0.03338381,0.0005368699,0.0003450748,0.00002050068,0.0001081405,0.0000531282,0.01439793],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9181309,"threshold_uncertainty_score":0.999869,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3109508217","doi":"10.1142/9789811226830_0012","title":"An Interactive Tablet-based System to Run Neuromuscular Tests","year":2020,"lang":"en","type":"book-chapter","venue":"Series in machine perception and artificial intelligence","topic":"Muscle activation and electromyography studies","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science","retraction":null,"screen_n_in":null,"score":{"opus":0.01885262188925747,"gpt":0.2538665135277625,"spread":0.2350138916385051,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00009416396,0.000377134,0.0003820524,0.0003237485,0.0001145611,0.0001052468,0.0001624673,0.0001394757,0.0002712692],"category_scores_gemma":[0.00002456049,0.0003977001,0.00008283213,0.0001487128,0.00008690299,0.0002081679,0.00003923474,0.0004611329,0.00004521442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001031342,"about_ca_system_score_gemma":0.00001453071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004610049,"about_ca_topic_score_gemma":0.0003684531,"domain_scores_codex":[0.9987039,0.00003012949,0.0004316731,0.0004309819,0.000183401,0.0002199232],"domain_scores_gemma":[0.9994615,0.00003851349,0.00005425045,0.0002332905,0.00006377468,0.0001486144],"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":[0.0005833498,0.0001047271,0.0001417411,0.001188241,0.0001769321,0.0001002076,0.006625824,0.04330023,0.03560242,0.1267052,0.000608503,0.7848626],"study_design_scores_gemma":[0.0003910183,0.004043652,0.01031302,0.00315619,0.0002950869,0.00008573921,0.01336215,0.7801878,0.01004995,0.01961705,0.1516698,0.006828513],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08763286,0.002275103,0.3351475,0.008483379,0.007140768,0.007329668,0.0009494224,0.00794731,0.543094],"genre_scores_gemma":[0.9977283,0.0001955592,0.0007139751,0.0003619926,0.000187632,0.00004080318,0.00007262654,0.00007576252,0.000623349],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9100955,"threshold_uncertainty_score":0.9998475,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3109540593","doi":"10.1142/9789811226830_0004","title":"Could Sigma-Lognormal Modeling Help Teachers to Characterize the Kinematic Efficiency of Pupils’ Cursive Procedures of Handwriting?","year":2020,"lang":"en","type":"book-chapter","venue":"Series in machine perception and artificial intelligence","topic":"Cognitive and developmental aspects of mathematical skills","field":"Mathematics","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Handwriting; Log-normal distribution; Sigma; Cursive; Kinematics; Six Sigma; Computer science; Mathematics; Statistics; Artificial intelligence; Engineering; Physics; Manufacturing engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.06551635445947622,"gpt":0.3146679817750499,"spread":0.2491516273155737,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004320389,0.0003345936,0.0006400443,0.0001438109,0.0001059535,0.00004104873,0.0002713465,0.0001442178,0.0005753092],"category_scores_gemma":[0.001347628,0.0002494304,0.000110678,0.0001273655,0.0003488162,0.0001117294,0.0002182362,0.0003867753,0.00001678356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003255987,"about_ca_system_score_gemma":0.0000664371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002633337,"about_ca_topic_score_gemma":0.0001797702,"domain_scores_codex":[0.9979435,0.00003877858,0.001058972,0.000355604,0.0003931323,0.0002100757],"domain_scores_gemma":[0.9988909,0.0003131593,0.0003141033,0.0001822345,0.0002078427,0.0000917322],"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":[0.0007721981,0.0006178456,0.00005760865,0.004936509,0.0001519399,0.00002635119,0.06051757,0.0006086646,0.017182,0.7923707,0.0001567375,0.1226018],"study_design_scores_gemma":[0.0001036827,0.0006097754,0.00006059615,0.003928078,0.0001288242,0.00003026112,0.01158953,0.02269357,0.005390489,0.9545823,0.0001190117,0.0007638804],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4654376,0.001053481,0.3617419,0.01027077,0.0006764749,0.008040269,0.0006701621,0.0003012196,0.1518081],"genre_scores_gemma":[0.9929813,0.0002844246,0.003986268,0.0002286744,0.00009764827,0.00003159556,0.00002643045,0.00004400277,0.002319683],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5275437,"threshold_uncertainty_score":0.9999958,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2407911639","doi":"10.1142/9789812770677_0010","title":"Behavioral Biometrics for Online Computer User Monitoring","year":2007,"lang":"en","type":"book-chapter","venue":"Series in machine perception and artificial intelligence","topic":"User Authentication and Security Systems","field":"Computer Science","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 Victoria","funders":"","keywords":"Biometrics; Computer science; Computer security; Internet privacy; Human–computer interaction","retraction":null,"screen_n_in":null,"score":{"opus":0.1372480468376267,"gpt":0.3692375167789192,"spread":0.2319894699412925,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004204712,0.0003125179,0.000347141,0.0007741887,0.0001487384,0.0002817423,0.00051522,0.0002779909,0.00008350884],"category_scores_gemma":[0.00001737305,0.0003190111,0.0001148417,0.0002235066,0.0001535563,0.0003522577,0.0002181348,0.0003362274,0.00004902908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008699336,"about_ca_system_score_gemma":0.00002938513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006538282,"about_ca_topic_score_gemma":0.0003275464,"domain_scores_codex":[0.9980865,0.00002051676,0.000722852,0.0005890912,0.0003004427,0.0002805761],"domain_scores_gemma":[0.9990469,0.00008074816,0.0001774057,0.0004062337,0.0001712755,0.0001173988],"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":[0.00002764271,0.0001496534,0.0002431048,0.00008871932,0.00001216557,0.000008594814,0.007421511,0.00001141746,0.0001995014,0.1996752,0.0000477011,0.7921148],"study_design_scores_gemma":[0.0003788834,0.001991798,0.004116178,0.001096009,0.0001123325,0.0001587146,0.001598468,0.4192972,0.001135113,0.1877766,0.3786297,0.003709099],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009156372,0.0004184242,0.9838958,0.000647509,0.003073185,0.0008717777,0.0001232414,0.0002316354,0.001582033],"genre_scores_gemma":[0.6013279,0.003264673,0.2666101,0.0008181344,0.004149097,0.00009512124,0.0006318667,0.0002418027,0.1228613],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7884057,"threshold_uncertainty_score":0.9999262,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3108487005","doi":"10.1142/9789811226830_0002","title":"Improving Handwritten Signatures Fluency via the Lognormality Principle","year":2020,"lang":"en","type":"book-chapter","venue":"Series in machine perception and artificial intelligence","topic":"Edcuational Technology Systems","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":"Polytechnique Montréal","funders":"","keywords":"Fluency; Computer science; Psychology; Mathematics education","retraction":null,"screen_n_in":null,"score":{"opus":0.0285218893134095,"gpt":0.2741284904392692,"spread":0.2456066011258597,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005287035,0.0003149036,0.0003070294,0.0001465889,0.0002805224,0.0001920854,0.0009588306,0.0003376556,0.000185069],"category_scores_gemma":[0.0001209805,0.0002476824,0.00008325306,0.0001274666,0.0004495631,0.0003902788,0.0005987477,0.0008911689,0.0001243186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007018942,"about_ca_system_score_gemma":0.00005933959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001391257,"about_ca_topic_score_gemma":0.0006823818,"domain_scores_codex":[0.9980994,0.00007499389,0.0006242631,0.0006501332,0.0003262302,0.0002250054],"domain_scores_gemma":[0.9989691,0.00009734795,0.0002352701,0.0005325843,0.00009918996,0.00006644551],"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":[0.0000157833,0.00001103463,0.00006324303,0.00004089663,0.00001024124,0.00001317287,0.0006535336,0.0001036188,0.00137932,0.7910956,0.0000194016,0.2065941],"study_design_scores_gemma":[0.00004275346,0.0002547325,0.000851741,0.0001508839,0.00002207015,0.00008393401,0.0002772955,0.1757164,0.0009737029,0.8053252,0.01548,0.0008214011],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001507538,0.001925553,0.935559,0.01902961,0.001645568,0.001505585,0.00005803544,0.0007487213,0.03802044],"genre_scores_gemma":[0.9734815,0.0004277931,0.008274535,0.001260938,0.0004770945,0.00005637248,0.00004512537,0.00004613199,0.0159305],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.971974,"threshold_uncertainty_score":0.9999976,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2488655559","doi":"10.1142/9789812562432_0004","title":"FUZZY INFERENCE BASED SERVER SELECTION IN CONTENT DISTRIBUTION NETWORKS","year":2004,"lang":"en","type":"book-chapter","venue":"Series in machine perception and artificial intelligence","topic":"Rough Sets and Fuzzy Logic","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Selection (genetic algorithm); Computer science; Fuzzy inference system; Artificial intelligence; Inference; Content (measure theory); Fuzzy logic; Data mining; Machine learning; Adaptive neuro fuzzy inference system; Mathematics; Fuzzy control system","retraction":null,"screen_n_in":null,"score":{"opus":0.05287720107549063,"gpt":0.2735992317921022,"spread":0.2207220307166116,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003875493,0.0003667002,0.0003629506,0.0002053913,0.0001437219,0.0002373693,0.0003677157,0.0003424846,0.000235504],"category_scores_gemma":[0.00004378883,0.0003508796,0.00008368665,0.0002140873,0.00019855,0.0004732618,0.0001611805,0.0006789687,0.00004244892],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002943286,"about_ca_system_score_gemma":0.00009383461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005151624,"about_ca_topic_score_gemma":0.003338834,"domain_scores_codex":[0.9980185,0.000061805,0.0006670436,0.0006677155,0.0002535093,0.0003314401],"domain_scores_gemma":[0.9993321,0.00005390457,0.000172835,0.0002568697,0.00009600367,0.00008831969],"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":[0.00007744021,0.00007062677,0.0006558697,0.00003816196,0.000004887448,0.00002026602,0.0003292327,0.02729928,0.00006281972,0.8029337,0.00001012553,0.1684976],"study_design_scores_gemma":[0.0001456445,0.0004515296,0.01240078,0.0005158146,0.00001234013,0.00002013992,0.0001164331,0.4743355,0.0000588221,0.5096674,0.001353952,0.0009216256],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00324482,0.0003745498,0.9735994,0.001641575,0.0007777577,0.0007534073,0.00004469678,0.0002103851,0.01935338],"genre_scores_gemma":[0.9942597,0.0008056615,0.002707053,0.0003128801,0.000129177,0.00002363665,0.0001663701,0.0000200067,0.001575583],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9910148,"threshold_uncertainty_score":0.9998943,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3110136086","doi":"10.1142/9789811226830_0014","title":"On the Use of Interval Arithmetic for the Branch and Bound Delta-Lognormal Parameter Extraction of Rapid Human Movements","year":2020,"lang":"en","type":"book-chapter","venue":"Series in machine perception and artificial intelligence","topic":"Neural Networks and Applications","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":"Polytechnique Montréal","funders":"","keywords":"Log-normal distribution; Interval (graph theory); Mathematics; Arithmetic; Extraction (chemistry); Interval arithmetic; Statistics; Combinatorics; Mathematical analysis; Chromatography; Chemistry","retraction":null,"screen_n_in":null,"score":{"opus":0.116224001169748,"gpt":0.3177627650885793,"spread":0.2015387639188313,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000199875,0.0001620082,0.0001989035,0.00005774588,0.0001938285,0.0001256068,0.0002740664,0.00007164692,0.00007735299],"category_scores_gemma":[0.00004173759,0.0001048869,0.00007328216,0.00005991345,0.0003693171,0.0001972174,0.0001399449,0.0002507356,0.000001442928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001015569,"about_ca_system_score_gemma":0.000008785305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000656612,"about_ca_topic_score_gemma":0.0002134112,"domain_scores_codex":[0.9989968,0.00003327571,0.0004406777,0.0002840305,0.000141551,0.0001036546],"domain_scores_gemma":[0.9989731,0.0004704547,0.000207638,0.0002627865,0.0000570598,0.00002892188],"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":[0.00007373594,0.00003510972,0.00001681021,0.00003721941,0.00002010843,4.167414e-7,0.0006323747,0.0005485089,0.002020349,0.6805393,0.00008210158,0.3159939],"study_design_scores_gemma":[0.00008229948,0.001086816,0.001180911,0.0002428811,0.00005191657,0.00001326558,0.0002155233,0.35533,0.002461033,0.627861,0.01106524,0.0004091076],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05257186,0.0003026337,0.9374397,0.006131383,0.0004487157,0.001808866,0.0001322393,0.00004264554,0.001121936],"genre_scores_gemma":[0.9955521,0.0006142597,0.001662636,0.0005792796,0.00007399207,0.00004486669,0.00001563218,0.00001339074,0.001443889],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9429802,"threshold_uncertainty_score":0.4277163,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4231652362","doi":"10.1142/9789811226830_bmatter","title":"BACK MATTER","year":2020,"lang":"en","type":"paratext","venue":"Series in machine perception and artificial intelligence","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science","retraction":null,"screen_n_in":null,"score":{"opus":0.0444097476746532,"gpt":0.322214677407661,"spread":0.2778049297330078,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002467955,0.0006452362,0.0007021339,0.0003409271,0.0001640831,0.0003040719,0.0004160269,0.0004114012,0.4131665],"category_scores_gemma":[0.00004408656,0.0006448113,0.0001357768,0.0005728431,0.0006182409,0.0003889031,0.0003053361,0.001075393,0.7382571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001392783,"about_ca_system_score_gemma":0.00006148786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004459505,"about_ca_topic_score_gemma":0.0007667699,"domain_scores_codex":[0.9969313,0.000267134,0.0009651019,0.0009968736,0.0003203151,0.0005193203],"domain_scores_gemma":[0.9990297,0.00004474628,0.0002297395,0.0004117281,0.00007809707,0.0002060057],"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":[0.001861253,0.0004150157,0.001179963,0.001197469,0.00009004828,0.00003724563,0.0124857,0.001583226,0.02768907,0.002873006,0.8804231,0.07016491],"study_design_scores_gemma":[0.00009430589,0.0003838551,0.001158001,0.0005266586,0.00005927832,0.0000913843,0.004759364,0.00996313,0.002231566,0.003431765,0.9750429,0.002257762],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01864566,0.002183813,0.01215853,0.01217873,0.007628062,0.00246713,0.003151034,0.0002027523,0.9413843],"genre_scores_gemma":[0.2956,0.007151524,0.005041618,0.005931049,0.003532936,0.0002054591,0.004323675,0.0007831223,0.6774306],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3250906,"threshold_uncertainty_score":0.9996003,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4250603677","doi":"10.1142/9789811226830_fmatter","title":"FRONT MATTER","year":2020,"lang":"en","type":"paratext","venue":"Series in machine perception and artificial intelligence","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Front (military); Geology; Oceanography","retraction":null,"screen_n_in":null,"score":{"opus":0.03861959261920749,"gpt":0.3175727659201712,"spread":0.2789531733009637,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002907196,0.0006384453,0.0007196543,0.0003529082,0.0001873746,0.0002894061,0.0004101808,0.000402438,0.2376275],"category_scores_gemma":[0.00007265519,0.000631815,0.0001360153,0.0003370927,0.0005611788,0.0003642406,0.000298886,0.00113905,0.5392167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001715538,"about_ca_system_score_gemma":0.00006900388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006999834,"about_ca_topic_score_gemma":0.001597631,"domain_scores_codex":[0.9968968,0.0002653489,0.0009626717,0.0009924815,0.0003701008,0.0005125963],"domain_scores_gemma":[0.9990315,0.00004479578,0.0002317837,0.0004077225,0.00007969927,0.000204461],"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":[0.001897187,0.0004115617,0.001070369,0.0008380243,0.00009274143,0.00007736379,0.01712581,0.001932259,0.02122466,0.002243047,0.8199151,0.1331719],"study_design_scores_gemma":[0.0001132169,0.0005109595,0.002744661,0.0006394369,0.00009606106,0.000100376,0.008265165,0.01651935,0.002621061,0.009485281,0.9559735,0.002930897],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03924562,0.006506584,0.03776607,0.0196952,0.01647696,0.004588324,0.006404135,0.0008510471,0.8684661],"genre_scores_gemma":[0.6032957,0.007130254,0.005190407,0.005647563,0.004104992,0.0003403891,0.004346827,0.0007953761,0.3691485],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.56405,"threshold_uncertainty_score":0.9996133,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2504650674","doi":"10.1142/9789812776952_0010","title":"Robust Video Transmission for Feedback Channels","year":2002,"lang":"en","type":"book-chapter","venue":"Series in machine perception and artificial intelligence","topic":"Advanced Data Compression Techniques","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":"Queen's University","funders":"","keywords":"Computer science; Transmission (telecommunications); Telecommunications","retraction":null,"screen_n_in":null,"score":{"opus":0.07154219167317928,"gpt":0.2944957615147548,"spread":0.2229535698415755,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002940872,0.0004169003,0.0004178001,0.0002954978,0.0002158692,0.0001986369,0.0007361341,0.000335861,0.0008464016],"category_scores_gemma":[0.0000403282,0.0003943841,0.0001168664,0.00008962567,0.0002151245,0.0007763834,0.0002847942,0.0004800373,0.00006129659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006347494,"about_ca_system_score_gemma":0.00001977616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001383908,"about_ca_topic_score_gemma":0.00002551565,"domain_scores_codex":[0.9978952,0.00003681961,0.0006561519,0.0008514856,0.0002552601,0.000305117],"domain_scores_gemma":[0.9989166,0.0001051351,0.0001835309,0.0005700293,0.00009994995,0.0001247935],"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":[0.00005074894,0.00003029716,5.680068e-7,0.00006805293,0.000004241776,0.000005595012,0.0005823479,0.0004897211,0.000732863,0.2974847,0.0005610301,0.6999898],"study_design_scores_gemma":[0.00005374147,0.000316146,0.000005808834,0.0005289136,0.00001046243,0.00003129923,0.00005975212,0.18649,0.00309993,0.6142709,0.1943711,0.0007619212],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00001117641,0.0004116634,0.9852993,0.001121687,0.0003824376,0.000627641,0.00005652296,0.0002836813,0.01180585],"genre_scores_gemma":[0.01534618,0.01504303,0.7672372,0.0009831009,0.000790671,0.0002760377,0.0003132954,0.0001983021,0.1998122],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6992279,"threshold_uncertainty_score":0.9998508,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4244476252","doi":"10.1142/9789812562432_fmatter","title":"FRONT MATTER","year":2004,"lang":"en","type":"paratext","venue":"Series in machine perception and artificial intelligence","topic":"","field":"","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 Regina","funders":"","keywords":"Front (military); Computer science; Geology; Oceanography","retraction":null,"screen_n_in":null,"score":{"opus":0.03048086049487227,"gpt":0.3169788709852143,"spread":0.2864980104903421,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003967066,0.0006735479,0.000683127,0.0005391633,0.0002226026,0.0002884256,0.0003943723,0.0004901555,0.2293592],"category_scores_gemma":[0.00004846786,0.0006611603,0.000139207,0.0003103494,0.0007126246,0.000421332,0.0002311833,0.001068988,0.4668383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004067919,"about_ca_system_score_gemma":0.0001208291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001900632,"about_ca_topic_score_gemma":0.004150826,"domain_scores_codex":[0.9968545,0.0002026149,0.0009970653,0.0009541957,0.0003872822,0.0006042735],"domain_scores_gemma":[0.9989583,0.00003527425,0.0002415646,0.0005075523,0.00009597173,0.0001612758],"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":[0.004344447,0.002245829,0.002610029,0.002476296,0.0002555168,0.0002111164,0.04367257,0.0307813,0.04101629,0.01365248,0.5378435,0.3208907],"study_design_scores_gemma":[0.0004546379,0.001250846,0.01077292,0.003485207,0.000244247,0.0005031026,0.01783193,0.008886972,0.008270369,0.08637301,0.8534246,0.008502126],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.100223,0.008255606,0.04100648,0.007054321,0.01879236,0.004790178,0.00492826,0.0007457145,0.814204],"genre_scores_gemma":[0.5981395,0.005294591,0.004198188,0.001782655,0.002182395,0.0002752496,0.002670348,0.0005692292,0.3848878],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.4979165,"threshold_uncertainty_score":0.999584,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}