{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":8,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":8,"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":"b8f4f23e5063","filters":{"venue":"New Mathematics and Natural Computation"}},"results":[{"id":"W4411497230","doi":"10.1142/s1793005727500141","title":"Machine Learning Heating Oil Price Forecasts","year":2025,"lang":"en","type":"article","venue":"New Mathematics and Natural Computation","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":22,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Advanced Micro Devices (Canada)","funders":"","keywords":"Computer science; Oil price; Machine learning; Artificial intelligence; Econometrics; Economics; Monetary economics","authors":[{"name":"Bingzi Jin","is_ca":true},{"name":"Xiaojie Xu","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01693520982012043,"gpt":0.2397105689688289,"spread":0.2227753591487085,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003737735,0.0001057576,0.0002273686,0.0001290099,0.0001391457,0.00009306218,0.00006260222,0.00005464839,0.0000271601],"category_scores_gemma":[0.0001841141,0.0001092577,0.00004521124,0.0002027108,0.00001404008,0.00009962966,0.00005590542,0.0001853724,0.000006322343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003821572,"about_ca_system_score_gemma":0.00001283395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001178444,"about_ca_topic_score_gemma":0.00001807763,"domain_scores_codex":[0.9992439,0.000008407239,0.0003788345,0.0002048941,0.00002978021,0.0001342344],"domain_scores_gemma":[0.9995051,0.0001517991,0.0001956414,0.00007840023,0.00002970438,0.0000393682],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003251297,0.0001103162,0.03565517,0.001063338,0.00010388,0.000001775163,0.001471136,0.0006957048,0.00004806503,0.7059405,0.0003801385,0.2544974],"study_design_scores_gemma":[0.0002663358,0.00001394821,0.00260756,0.00004279081,0.000003637607,0.000001729775,0.00001869679,0.8059797,0.000003421364,0.1895586,0.001416225,0.00008736779],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6632323,0.006691689,0.2550229,0.0009648807,0.0005553831,0.0001910459,0.00001613746,0.0001103112,0.0732154],"genre_scores_gemma":[0.9677076,0.0001176637,0.02767644,0.00009131226,0.00003050739,0.000002451325,0.00002590243,0.000009072698,0.004339085],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.805284,"threshold_uncertainty_score":0.4455401,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2132633821","doi":"10.1142/s179300571340005x","title":"COGNITIVE LINGUISTIC PERSPECTIVES ON THE CHINESE LANGUAGE","year":2013,"lang":"en","type":"article","venue":"New Mathematics and Natural Computation","topic":"Cognitive Computing and Networks","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Cognitive linguistics; Quantitative linguistics; Cognition; Linguistics; Cognitive science; Applied linguistics; Psychology","authors":[{"name":"Yingxu Wang","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01054924219981918,"gpt":0.2733350310770739,"spread":0.2627857888772547,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001398497,0.0001313191,0.0001173346,0.00005523573,0.0001712918,0.0002568042,0.0001718445,0.00002967418,0.00001025624],"category_scores_gemma":[0.0004445492,0.00007756855,0.00003910017,0.0002494921,0.00003668835,0.00009293708,0.0001033809,0.0002024073,0.00005933989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000124698,"about_ca_system_score_gemma":0.00001699404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002083381,"about_ca_topic_score_gemma":0.000001945121,"domain_scores_codex":[0.9993021,0.00003864322,0.0001307811,0.0002194815,0.0001683011,0.0001406445],"domain_scores_gemma":[0.9982256,0.001346648,0.00008503751,0.0001098287,0.0001787192,0.00005415414],"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":[0.00001542907,0.0002553296,0.0001326629,0.00006960432,0.0001157519,0.00001635993,0.1189635,0.0001960415,0.0004772323,0.1838984,0.003005723,0.692854],"study_design_scores_gemma":[0.0003381468,0.00009611149,0.007491094,0.0001460106,0.000009514853,0.00001829986,0.001842069,0.9216073,0.00006241085,0.06820191,0.000009491266,0.000177623],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6584244,0.0008316539,0.3372326,0.0009566576,0.000191818,0.0002896065,5.288076e-7,0.000114603,0.001958075],"genre_scores_gemma":[0.9854081,0.00001320751,0.01388386,0.0003234394,0.0001942635,0.000005787675,0.000002687613,0.000007075261,0.000161596],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9214113,"threshold_uncertainty_score":0.3163154,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2048936606","doi":"10.1142/s1793005706000567","title":"PREDICTION OF BIRD FLU A(H5N1) OUTBREAKS IN TAIWAN BY ONLINE AUCTION: EXPERIMENTAL RESULTS","year":2006,"lang":"en","type":"article","venue":"New Mathematics and Natural Computation","topic":"Complex Systems and Time Series Analysis","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Centre for Addiction and Mental Health","funders":"National Science Council","keywords":"Tournament; Futures contract; Outbreak; Order (exchange); Database transaction; Influenza A virus subtype H5N1; Computer science; Incentive; Convergence (economics); Business; Computer security; Operations research; Economics; Financial economics; Microeconomics; Database; Engineering; Finance; Mathematics; Virology; Medicine; Economic growth","authors":[{"name":"Sun-Chong Wang","is_ca":true},{"name":"Jie-Jun Tseng","is_ca":false},{"name":"Sai-Ping Li","is_ca":false},{"name":"Shu‐Heng Chen","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02382200165840713,"gpt":0.2244866922409341,"spread":0.200664690582527,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001555506,0.0001063689,0.0003046854,0.0001768935,0.00004527239,0.00003695938,0.00005021016,0.00005779163,0.0000207308],"category_scores_gemma":[0.00001591359,0.0001105034,0.00005924205,0.0002432542,0.0000230135,0.0001356794,0.00002479219,0.00007484228,0.000007587229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004946119,"about_ca_system_score_gemma":0.000006568454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001900483,"about_ca_topic_score_gemma":0.0001971501,"domain_scores_codex":[0.9988373,0.000006633858,0.000790518,0.0002076725,0.00005302472,0.0001048336],"domain_scores_gemma":[0.9994336,0.00002245955,0.0003910215,0.00009529946,0.00002870164,0.00002891946],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001040742,0.008458865,0.05225039,0.002078754,0.0009894358,0.0000235022,0.02542497,0.04120886,0.0349926,0.6825216,0.1008407,0.05016958],"study_design_scores_gemma":[0.004002139,0.000331004,0.03953219,0.0001322923,0.00002534177,0.00002132919,0.001346371,0.8818628,0.0008686652,0.06571629,0.005718001,0.0004435534],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9831914,0.004300124,0.01008386,0.0004480292,0.0002745108,0.0002360285,0.0002744253,0.00005297486,0.001138655],"genre_scores_gemma":[0.9942461,0.0000150655,0.004824658,0.000009552112,0.0001002539,0.000002281789,0.0001767782,0.00001317349,0.0006121822],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.840654,"threshold_uncertainty_score":0.4506198,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4214581612","doi":"10.1142/s1793005723500060","title":"A Novel Learning Approach for Different Profile Shapes of Convecting–Radiating Fins Based on Shifted Gegenbauer LSSVM","year":2022,"lang":"en","type":"article","venue":"New Mathematics and Natural Computation","topic":"Heat Transfer and Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Fin; Nonlinear system; Heat transfer; Mathematics; Kernel (algebra); Boundary value problem; Partial differential equation; Surface (topology); Mathematical analysis; Applied mathematics; Mathematical optimization; Mechanics; Geometry; Physics; Materials science","authors":[{"name":"Elyas Shivanian","is_ca":false},{"name":"Zeinab Hajimohammadi","is_ca":false},{"name":"Fatemeh Baharifard","is_ca":false},{"name":"Kourosh Parand","is_ca":true},{"name":"Ramin Kazemi","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01647901152930049,"gpt":0.2257370517470137,"spread":0.2092580402177132,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001069759,0.0001053075,0.00015847,0.00008800091,0.0001271936,0.00002097074,0.00004009849,0.00002982895,0.00001195441],"category_scores_gemma":[0.00002956186,0.00009766585,0.00004172053,0.0001196959,0.000006070241,0.00003542126,0.000009707586,0.0001660102,1.494358e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003335784,"about_ca_system_score_gemma":0.00001273021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000033461,"about_ca_topic_score_gemma":6.190963e-7,"domain_scores_codex":[0.9994214,0.00001264047,0.0002059819,0.0001088239,0.0001439281,0.0001072233],"domain_scores_gemma":[0.9996722,0.0001979075,0.0000374923,0.00003313087,0.00002847075,0.00003074677],"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":[0.00001429798,0.00005606839,0.00002218457,0.000412775,0.00001535621,7.043801e-8,0.001536726,0.9890643,0.003415647,0.0005136068,0.0000277604,0.004921241],"study_design_scores_gemma":[0.0007642606,0.000125671,0.0003346285,0.00002547932,0.00001951865,0.000001534533,0.0002014086,0.9971193,0.001117452,0.0001769224,0.000007959736,0.0001058442],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2262492,0.00005592479,0.7730061,0.00001981169,0.00005619229,0.0003529197,0.00001344563,0.00008078672,0.0001656005],"genre_scores_gemma":[0.8779729,0.000001697285,0.1217858,0.00001669147,0.00002388192,0.00002712309,0.000134353,0.00002138555,0.00001620306],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6517237,"threshold_uncertainty_score":0.3982698,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2725218421","doi":"10.1142/s1793005717400026","title":"On the Cognitive and Theoretical Foundations of Big Data Science and Engineering","year":2017,"lang":"en","type":"article","venue":"New Mathematics and Natural Computation","topic":"Cognitive Computing and Networks","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"","keywords":"Big data; Computer science; Data science; Set (abstract data type); Property (philosophy); Science and engineering; Cognitive science; Cognition; Theoretical computer science; Artificial intelligence; Epistemology; Data mining; Engineering ethics; Psychology; Programming language","authors":[{"name":"Yingxu Wang","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05357358825775752,"gpt":0.3065861644661386,"spread":0.2530125762083811,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000576128,0.00007241438,0.00008997087,0.00005332187,0.0004488058,0.0004119997,0.0003653315,0.00001869436,3.87047e-7],"category_scores_gemma":[0.001299604,0.00004862605,0.000006910032,0.00009588677,0.000395738,0.0002542118,0.0006503024,0.0001072743,4.615506e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004665498,"about_ca_system_score_gemma":0.00004083544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003839617,"about_ca_topic_score_gemma":0.000001245666,"domain_scores_codex":[0.9993815,0.00001125796,0.0001060396,0.0002156182,0.0001909392,0.00009461602],"domain_scores_gemma":[0.9982792,0.001167796,0.0001020276,0.0002496316,0.000154388,0.00004702551],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002489579,0.00001139945,0.00001644883,0.00001804242,0.000007574613,5.166199e-7,0.0004969424,0.00000996373,0.0001170885,0.7578051,0.00003454744,0.2414799],"study_design_scores_gemma":[0.0001793549,0.00003890096,0.004952851,0.0001530315,0.000009864389,0.00001213829,0.00002749348,0.9080276,0.0001137078,0.08641483,0.000006647967,0.00006353299],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.459145,0.0001610355,0.5387506,0.001137975,0.0001960186,0.0001497729,0.000002541407,0.0000218256,0.0004351533],"genre_scores_gemma":[0.9849601,0.00002642589,0.01490461,0.00005580635,0.0000436575,6.593895e-7,0.0000016546,0.000002889711,0.000004158587],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9080177,"threshold_uncertainty_score":0.3972923,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3180413659","doi":"10.1142/s1793005722500144","title":"Solving Fractional Fuzzy Impulsive Differential Equations with Uncertainty by Novel Computational Technique","year":2021,"lang":"en","type":"article","venue":"New Mathematics and Natural Computation","topic":"Fuzzy Systems and Optimization","field":"Mathematics","cited_by":2,"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":"Mathematics; Fractional calculus; Fuzzy logic; Taylor series; Applied mathematics; Differentiable function; Convergence (economics); Series (stratigraphy); Nonlinear system; Consistency (knowledge bases); Stability (learning theory); Truncation (statistics); Truncation error; Mathematical analysis; Computer science","authors":[{"name":"Nematallah Najafi","is_ca":false},{"name":"Tofigh Allahviranloo","is_ca":false},{"name":"Withold Pedrycz","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01887370796598794,"gpt":0.2774324523709342,"spread":0.2585587444049463,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001305702,0.0002208611,0.0002896238,0.00009013016,0.0002622647,0.0001684203,0.0000667228,0.0001122031,0.00003533156],"category_scores_gemma":[0.0002147609,0.0001851419,0.00006061571,0.0002648569,0.00004155083,0.0002272402,0.00004928306,0.0002252468,0.00000309327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008113441,"about_ca_system_score_gemma":0.0001598657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002812252,"about_ca_topic_score_gemma":0.0000301434,"domain_scores_codex":[0.9986008,0.00003493518,0.0004260101,0.0003005858,0.000450703,0.0001870097],"domain_scores_gemma":[0.9981773,0.0008326678,0.0003159437,0.0001160904,0.0004604733,0.00009753839],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001594325,0.001788179,0.0001141423,0.001544707,0.0007312206,0.0000284624,0.00500104,0.2171963,0.0356826,0.7024642,0.02739716,0.00789252],"study_design_scores_gemma":[0.001340854,0.00007500961,0.0001324956,0.0002386002,0.00008833867,0.0001535305,0.0003728885,0.8064368,0.0005074816,0.190207,0.00009705479,0.0003498601],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02243643,0.0001590993,0.9760652,0.0003468384,0.0001424825,0.0004298903,0.00005351277,0.00009442314,0.0002721381],"genre_scores_gemma":[0.6087638,0.000006132214,0.3899501,0.00006058479,0.0001129319,0.00002519188,0.0006290992,0.00003045651,0.0004217522],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5892406,"threshold_uncertainty_score":0.7549868,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4297060776","doi":"10.1142/s1793005723500333","title":"On the Coronavirus Disease Death Rate Modeling Utilizing Generalized Exponential Kumaraswamy","year":2022,"lang":"en","type":"article","venue":"New Mathematics and Natural Computation","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Exponential function; Mathematics; Exponential distribution; Applied mathematics; Inverse; Gamma distribution; Statistics; Exponential family; Order statistic; Mathematical analysis","authors":[{"name":"Ramin Barati","is_ca":false},{"name":"Sara Fanati Rashidi","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1716004894528934,"gpt":0.3852168750925361,"spread":0.2136163856396427,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003294568,0.0001530971,0.0001598786,0.00005120849,0.0007397185,0.00009299793,0.000128868,0.00002119723,0.0002406383],"category_scores_gemma":[0.0003933986,0.0001166494,0.00006352334,0.0001634635,0.00002680066,0.00005811394,0.00009415433,0.000226886,0.00001375366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006656264,"about_ca_system_score_gemma":0.00004768612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000121464,"about_ca_topic_score_gemma":0.000001227354,"domain_scores_codex":[0.9988397,0.0001003671,0.0003375167,0.000214117,0.0003451193,0.0001631287],"domain_scores_gemma":[0.9985429,0.0009616964,0.0001502066,0.0001648956,0.00006429643,0.0001160079],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003570095,0.00009042569,0.000001732006,0.00002631566,0.00001461465,0.000001646383,0.0002053226,0.006831753,0.0001537618,0.9895499,0.00124987,0.001838961],"study_design_scores_gemma":[0.0002730553,0.00001311671,0.00008136944,0.00001067081,0.00002809904,0.000003056812,0.00009245474,0.5396151,0.00001409428,0.4597251,0.00006273657,0.00008112853],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3531474,0.00007842523,0.6447391,0.001147218,0.0001059949,0.0004151255,0.00006564342,0.00008772926,0.0002133397],"genre_scores_gemma":[0.9765201,0.000006753625,0.02259311,0.0004095859,0.00003984696,0.00008424015,0.0001469118,0.00001927957,0.0001801582],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6233727,"threshold_uncertainty_score":0.5689391,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4415013025","doi":"10.1142/s1793005727500499","title":"Exploring Multipolar Fuzzy Hyperfilters in Ordered Semihypergroups","year":2025,"lang":"en","type":"article","venue":"New Mathematics and Natural Computation","topic":"Fuzzy and Soft Set Theory","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Fuzzy logic; Intersection (aeronautics); Prime (order theory); Fuzzy set; Fuzzy subalgebra; Algebra over a field","authors":[{"name":"Zainab Usmania","is_ca":false},{"name":"Ahsan Mahboobb","is_ca":true},{"name":"Mohammad Aasim Khana","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1395165067856865,"gpt":0.3555089531075831,"spread":0.2159924463218966,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008749347,0.0001174845,0.0002368833,0.0003604941,0.0001019604,0.0001593027,0.0001964394,0.00005026644,0.000007596204],"category_scores_gemma":[0.001139422,0.00008958201,0.00004535613,0.0007001411,0.00003541173,0.0003751184,0.00008859447,0.000173829,0.00002378454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002864619,"about_ca_system_score_gemma":0.00003683409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002723557,"about_ca_topic_score_gemma":0.00003252425,"domain_scores_codex":[0.9987196,0.00006284275,0.0004428404,0.0002609539,0.0003618713,0.0001518777],"domain_scores_gemma":[0.9982019,0.001407447,0.0000947912,0.000157821,0.00008641816,0.00005163182],"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":[0.0001349261,0.0002012418,0.003482724,0.0001639051,0.00004667017,0.00001540991,0.01392744,0.004562908,0.006284325,0.1494167,0.002634748,0.819129],"study_design_scores_gemma":[0.001310695,0.00003610112,0.01578394,0.0001862339,0.00001301594,0.000008604105,0.00303911,0.1428241,0.0006046968,0.8350573,0.000901715,0.0002344988],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9860715,0.000600122,0.0103703,0.0006159699,0.0004907699,0.0001787476,0.000001305394,0.00003809306,0.001633226],"genre_scores_gemma":[0.9813576,0.00004092487,0.01783921,0.000170142,0.00003141936,0.000005372795,0.000003569568,0.000006059566,0.000545661],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8188946,"threshold_uncertainty_score":0.3653048,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}