{"meta":{"query_hash":"eb4f2e087807","filters":{"venue":"Granular Computing"},"cohort_total":11,"direct_labels_cover":0,"predictions_cover":11,"exported":11,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/eb4f2e087807","api":"https://metacan.xera.ac/api/v1/cohort?venue=Granular+Computing"},"results":[{"id":"W2297059917","doi":"10.1007/s41066-015-0003-0","title":"Granular computing, computational intelligence, and the analysis of non-geometric input spaces","year":2015,"lang":"en","type":"article","venue":"Granular Computing","topic":"Rough Sets and Fuzzy Logic","field":"Computer Science","cited_by":98,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Granular computing; Granulation; Computer science; Context (archaeology); Computational intelligence; Process (computing); Theoretical computer science; Artificial intelligence; Rough set; Engineering","score_opus":0.029441728545073393,"score_gpt":0.26519370499894146,"score_spread":0.23575197645386806,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2297059917","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04915353,0.009423667,0.9296987,0.002967267,0.00024432747,0.000038282393,0.00023026107,0.00017997547,0.008063903],"genre_scores_gemma":[0.87509286,0.005915713,0.11515087,0.0002838398,0.0004821808,0.00010005983,0.00019619784,0.000059922677,0.002718368],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9981877,0.0006849995,0.00012138739,0.00021634155,0.00062521745,0.00016437846],"domain_scores_gemma":[0.99534285,0.0031786803,0.0005725481,0.00042831877,0.00031183273,0.00016582219],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024701627,0.0008571767,0.0020811963,0.002735858,0.0008242618,0.00713758,0.0011819629,0.0013502841,0.0019023808],"category_scores_gemma":[0.008873812,0.00048303892,0.0012423499,0.0032601927,0.0041217543,0.0061263135,0.0018999152,0.0022479915,0.00015831842],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004881171,0.000020334945,0.0005350996,0.00016110993,0.00006785611,0.0001062199,0.00011958911,0.07504825,0.0005077685,0.90619427,0.0008313695,0.01635933],"study_design_scores_gemma":[0.000004975786,0.00000848613,0.0003026692,0.000024775038,0.000010509497,0.000025033658,0.00004454759,0.16482022,0.0001392729,0.83371884,0.00088892545,0.000011721419],"about_ca_topic_score_codex":0.0025089204,"about_ca_topic_score_gemma":0.0015164873,"teacher_disagreement_score":0.00713758,"about_ca_system_score_codex":0.002148341,"about_ca_system_score_gemma":0.0009981865,"threshold_uncertainty_score":0.0155873895},"labels":[],"label_agreement":null},{"id":"W2474895418","doi":"10.1007/s41066-015-0007-9","title":"Granular meta-clustering based on hierarchical, network, and temporal connections","year":2016,"lang":"en","type":"article","venue":"Granular Computing","topic":"Rough Sets and Fuzzy Logic","field":"Computer Science","cited_by":77,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Saint Mary's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Granular computing; Cluster analysis; Computer science; Granule (geology); Data mining; Rough set; Hierarchy; Artificial intelligence; Materials science","score_opus":0.03755837403896496,"score_gpt":0.24434877680460113,"score_spread":0.20679040276563615,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2474895418","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08550822,0.0005500113,0.90937936,0.00021122496,0.000071523675,0.00007793822,0.00021469538,0.000383745,0.0036033078],"genre_scores_gemma":[0.8490776,0.0002883274,0.14833431,0.000051271763,0.00005349011,0.0000813679,0.00031132318,0.00006674089,0.001735682],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991203,0.00017211662,0.00008458713,0.00020356425,0.00030246784,0.00011697998],"domain_scores_gemma":[0.99841416,0.0005138397,0.00028683754,0.00030499385,0.00033624147,0.00014395134],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011910162,0.00061357365,0.0013755962,0.0035093634,0.0014168405,0.0027380604,0.0016680983,0.0010424902,0.0016793453],"category_scores_gemma":[0.0044985805,0.0005066608,0.0014866741,0.0031247535,0.0010878547,0.0030342988,0.001476163,0.000737117,0.00026097824],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00060528354,0.00017751571,0.0073204082,0.0003194742,0.00040739853,0.0003826124,0.0005592968,0.6188642,0.0071949665,0.20765418,0.0032566874,0.15325801],"study_design_scores_gemma":[0.000015073812,0.00002584233,0.0011911188,0.000021271737,0.00007892706,0.00006434434,0.00006129834,0.95213854,0.000921148,0.044793837,0.0006583666,0.000030217008],"about_ca_topic_score_codex":0.0063569257,"about_ca_topic_score_gemma":0.0068597393,"teacher_disagreement_score":0.0063569257,"about_ca_system_score_codex":0.0018371589,"about_ca_system_score_gemma":0.0010502852,"threshold_uncertainty_score":0.013329625},"labels":[],"label_agreement":null},{"id":"W2525970259","doi":"10.1007/s41066-016-0029-y","title":"Shadowed sets of dynamic fuzzy sets","year":2016,"lang":"en","type":"article","venue":"Granular Computing","topic":"Rough Sets and Fuzzy Logic","field":"Computer Science","cited_by":51,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"Science and Technology Program of Hunan Province; China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Fuzzy logic; Fuzzy set; Computer science; Artificial intelligence; Mathematics","score_opus":0.014672719261984216,"score_gpt":0.24792001089823085,"score_spread":0.23324729163624663,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2525970259","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18254821,0.0015567915,0.7908189,0.0007548467,0.0002551864,0.00008303524,0.0004334431,0.00030571336,0.02324384],"genre_scores_gemma":[0.9054004,0.0008200452,0.08512186,0.00013759543,0.00023332781,0.0001096154,0.00040486155,0.000076254124,0.007695979],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.998362,0.0003054049,0.00012325664,0.0003507624,0.0006326187,0.00022595622],"domain_scores_gemma":[0.9962871,0.0015883063,0.00047089386,0.0006810256,0.00059378555,0.00037885952],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016449373,0.0006150716,0.0014917268,0.00294926,0.00143177,0.00565799,0.0012792759,0.0009394,0.004623578],"category_scores_gemma":[0.0073393174,0.0007802931,0.001206596,0.0021735271,0.0036003892,0.004891522,0.0025721448,0.0016812074,0.00033027958],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008324837,0.000017263492,0.00045661544,0.000061023013,0.0000355825,0.00021188609,0.00035793224,0.02402991,0.002068711,0.9586894,0.0006109316,0.0133774765],"study_design_scores_gemma":[0.000018254183,0.000022170818,0.0004750073,0.00002423541,0.000021133985,0.000119102515,0.00015345821,0.15319373,0.00087270327,0.8420647,0.0030104385,0.00002514018],"about_ca_topic_score_codex":0.0024641682,"about_ca_topic_score_gemma":0.0013105059,"teacher_disagreement_score":0.00565799,"about_ca_system_score_codex":0.0021039916,"about_ca_system_score_gemma":0.0008025962,"threshold_uncertainty_score":0.015467465},"labels":[],"label_agreement":null},{"id":"W2794004794","doi":"10.1007/s41066-018-0078-5","title":"A new approach to control of multivariable systems through a hierarchical aggregation of fuzzy controllers","year":2018,"lang":"en","type":"article","venue":"Granular Computing","topic":"Fuzzy Logic and Control Systems","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Multivariable calculus; Benchmark (surveying); Fuzzy logic; Fuzzy control system; Controller (irrigation); Control theory (sociology); Computer science; Control (management); Control engineering; Control system; Hierarchical control system; Engineering; Artificial intelligence","score_opus":0.01920976678524223,"score_gpt":0.23781035967825306,"score_spread":0.21860059289301084,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2794004794","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005361898,0.0002306317,0.9918894,0.000112966394,0.00005356774,0.000022608021,0.00002070067,0.00011393614,0.0021942884],"genre_scores_gemma":[0.6147549,0.0005675555,0.3814898,0.00013471191,0.00018718849,0.00011633643,0.00007057238,0.000056075576,0.0026228735],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99947613,0.00010363243,0.000048247406,0.000097115524,0.00022142645,0.00005346035],"domain_scores_gemma":[0.9995421,0.00014326026,0.000057569083,0.00011627023,0.00010107649,0.000039785198],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00072935043,0.00049799186,0.0010422196,0.0007929032,0.00077419827,0.0017345225,0.0011390857,0.000680083,0.0018623149],"category_scores_gemma":[0.0014841732,0.0003393474,0.0008355723,0.0010515287,0.00088556646,0.0016931712,0.0016782896,0.0013605944,0.00020131604],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012678491,0.00011768549,0.00059673155,0.00021778546,0.00015741422,0.00023091614,0.00039210715,0.55195874,0.017792355,0.31568763,0.0021116796,0.110610195],"study_design_scores_gemma":[0.000010068821,0.00003978367,0.00015050959,0.000013364857,0.00002297232,0.000024385878,0.000020020252,0.9425499,0.00084958563,0.054718457,0.001589173,0.000011968214],"about_ca_topic_score_codex":0.0031866038,"about_ca_topic_score_gemma":0.0033895338,"teacher_disagreement_score":0.0031866038,"about_ca_system_score_codex":0.00073556026,"about_ca_system_score_gemma":0.00061521353,"threshold_uncertainty_score":0.0063361526},"labels":[],"label_agreement":null},{"id":"W2808354012","doi":"10.1007/s41066-018-0104-7","title":"Granular cognitive maps: a review","year":2018,"lang":"en","type":"review","venue":"Granular Computing","topic":"Cognitive Science and Mapping","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Larus Technologies (Canada); University of Ottawa","funders":"","keywords":"Granular computing; Fuzzy cognitive map; Cognitive map; Cluster analysis; Rough set; Computer science; Inference; Field (mathematics); Cognition; Variety (cybernetics); Set (abstract data type); Artificial intelligence; Fuzzy set; Fuzzy logic; Data mining; Data science; Mathematics; Membership function; Psychology","score_opus":0.06876122356658772,"score_gpt":0.34225566904897275,"score_spread":0.27349444548238505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2808354012","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0001362782,0.99790037,0.0003519486,0.0005713134,0.00018541682,0.00000633977,0.00003535305,0.000008045871,0.0008050085],"genre_scores_gemma":[0.0015426832,0.9969618,0.00057203206,0.00032520515,0.00027637678,0.000014606298,0.000042418247,0.000003039046,0.0002617669],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996617,0.000075302625,0.00005629057,0.00007444917,0.00010414879,0.000028145003],"domain_scores_gemma":[0.9984274,0.0010772643,0.00014159297,0.00004672987,0.00023521594,0.00007179984],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010729138,0.001201089,0.0018908891,0.004325308,0.0004148629,0.0025149577,0.001529929,0.001975573,0.0052741645],"category_scores_gemma":[0.0042054076,0.00044997016,0.0006361524,0.0061613373,0.0013188337,0.0039218883,0.0016389232,0.0014829965,0.001330441],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009918372,0.00007622062,0.0004429915,0.043220464,0.00020754705,0.00019121883,0.00019082497,0.00075611495,0.00035162893,0.0152040655,0.047242202,0.89201754],"study_design_scores_gemma":[0.000047099715,0.00006933386,0.0014343761,0.025509495,0.00048581455,0.0011440136,0.00033094842,0.00036425702,0.00031200427,0.029405063,0.9408216,0.00007592471],"about_ca_topic_score_codex":0.003472157,"about_ca_topic_score_gemma":0.0046119248,"teacher_disagreement_score":0.0052741645,"about_ca_system_score_codex":0.0011360402,"about_ca_system_score_gemma":0.0036504397,"threshold_uncertainty_score":0.017643869},"labels":[],"label_agreement":null},{"id":"W2947078126","doi":"10.1007/s41066-019-00178-2","title":"Algebraic approaches to granular computing","year":2019,"lang":"en","type":"article","venue":"Granular Computing","topic":"Rough Sets and Fuzzy Logic","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"Natural Science Foundation of Hebei Province; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Granular computing; Rough set; Algebraic structure; Granular material; Algebraic number; Interpretation (philosophy); Mathematics; Closure (psychology); Set (abstract data type); Algebraic analysis; Algebra over a field; Computer science; Theoretical computer science; Pure mathematics; Artificial intelligence; Physics; Mathematical analysis","score_opus":0.057211922919904554,"score_gpt":0.22560449952191483,"score_spread":0.1683925766020103,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2947078126","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0076532727,0.01235869,0.9473844,0.0037249855,0.0005443242,0.000047701025,0.00018255266,0.00013513028,0.027968887],"genre_scores_gemma":[0.5342454,0.022264617,0.42424285,0.0011260874,0.003209759,0.00031406494,0.00045680537,0.000109043416,0.0140314475],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99831116,0.00056343793,0.00016565913,0.00021259412,0.000647436,0.00009969837],"domain_scores_gemma":[0.9971865,0.00155238,0.00023253477,0.00042709528,0.00046809422,0.00013334566],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023311567,0.00085930416,0.0015964729,0.003635097,0.001421397,0.006493611,0.0015984161,0.0012911527,0.0036653068],"category_scores_gemma":[0.0068761017,0.000690149,0.0013464802,0.004977459,0.005067162,0.006873377,0.0025784418,0.0040858807,0.00055130874],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000040098357,0.0000051226116,0.000034901226,0.000037327816,0.000008350372,0.000012420027,0.000042463347,0.0027063994,0.000059487662,0.99333376,0.00039059928,0.0033651714],"study_design_scores_gemma":[0.0000030360327,0.0000030197868,0.000031948595,0.000011783152,0.0000051366146,0.000011705959,0.00001836371,0.009433344,0.000036784535,0.98775136,0.0026878056,0.000005618627],"about_ca_topic_score_codex":0.0022343113,"about_ca_topic_score_gemma":0.0018373171,"teacher_disagreement_score":0.006493611,"about_ca_system_score_codex":0.0024019422,"about_ca_system_score_gemma":0.0012445464,"threshold_uncertainty_score":0.017427444},"labels":[],"label_agreement":null},{"id":"W2974292426","doi":"10.1007/s41066-019-00198-y","title":"Measures and approximations using empirical structures","year":2019,"lang":"en","type":"article","venue":"Granular Computing","topic":"Rough Sets and Fuzzy Logic","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Mathematics; Applied mathematics; Computer science; Econometrics","score_opus":0.04571320757990478,"score_gpt":0.2825390386737648,"score_spread":0.23682583109386002,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2974292426","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01772058,0.0049032024,0.9691594,0.0016154564,0.00027181418,0.000036920268,0.00012103762,0.00014876967,0.0060227015],"genre_scores_gemma":[0.57370305,0.0066360105,0.41355738,0.0003535137,0.00084012724,0.00021603245,0.00030760057,0.00009405636,0.0042922273],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9945439,0.0022184765,0.0005960284,0.00058964815,0.0018464159,0.00020554097],"domain_scores_gemma":[0.9848261,0.0103743775,0.0013258621,0.002174506,0.0010083212,0.0002907523],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0073902044,0.0009349443,0.0020258722,0.00587108,0.0009992394,0.009124633,0.0016084977,0.0019349377,0.0027373885],"category_scores_gemma":[0.03502513,0.0010027441,0.0016577928,0.006172302,0.005378085,0.012545139,0.0032121409,0.0033124858,0.00033461498],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015710475,0.000011174625,0.00026805163,0.00008401431,0.000034347173,0.00003788252,0.00014817652,0.012171653,0.0001418194,0.9722625,0.00036081954,0.014463902],"study_design_scores_gemma":[0.0000056343515,0.00001103144,0.00016619683,0.000048661397,0.00002035848,0.000037948383,0.00006273922,0.060127415,0.00014504726,0.9376297,0.0017316694,0.00001354594],"about_ca_topic_score_codex":0.0017117701,"about_ca_topic_score_gemma":0.0010980337,"teacher_disagreement_score":0.009124633,"about_ca_system_score_codex":0.0026076636,"about_ca_system_score_gemma":0.0011043083,"threshold_uncertainty_score":0.0390836},"labels":[],"label_agreement":null},{"id":"W2984121413","doi":"10.1007/s41066-019-00207-0","title":"Overlapping community detection in social networks with Voronoi and tolerance neighborhood-based method","year":2019,"lang":"en","type":"article","venue":"Granular Computing","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Winnipeg","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Voronoi diagram; Clique percolation method; Cluster analysis; Partition (number theory); Intersection (aeronautics); Computer science; Data mining; Community structure; Hierarchical clustering of networks; Mathematics; Theoretical computer science; Algorithm; Correlation clustering; Artificial intelligence; CURE data clustering algorithm; Combinatorics; Geography","score_opus":0.009183566836904078,"score_gpt":0.25447295311976414,"score_spread":0.24528938628286007,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2984121413","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02970845,0.00027130154,0.9689344,0.000094220464,0.000030356885,0.000054757573,0.00006406507,0.00016136072,0.0006809744],"genre_scores_gemma":[0.7098714,0.0002862121,0.28800282,0.0000642881,0.00006517544,0.0001403117,0.00020439994,0.000059682025,0.0013057285],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99878055,0.00038429847,0.0000693874,0.00022702182,0.00040557102,0.00013322705],"domain_scores_gemma":[0.9961945,0.002392755,0.00037606162,0.00031793263,0.00050861796,0.00021009677],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016618202,0.00042708227,0.0013560937,0.0031408423,0.000968439,0.0017450799,0.001907407,0.0010601297,0.0010681724],"category_scores_gemma":[0.008033837,0.00041984097,0.0008976198,0.0027072923,0.0010163264,0.0018640602,0.0020015656,0.00073439506,0.00020714707],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005456081,0.00018664681,0.009553037,0.00030702946,0.00020861533,0.0002771889,0.0004833454,0.69658357,0.005431665,0.08730224,0.0025158855,0.19660525],"study_design_scores_gemma":[0.0000062077515,0.000009505721,0.00030773977,0.0000066616863,0.0000078239445,0.000024274357,0.00002827152,0.99221426,0.00033431558,0.0068020904,0.00025276447,0.0000061137243],"about_ca_topic_score_codex":0.00785535,"about_ca_topic_score_gemma":0.005485954,"teacher_disagreement_score":0.00785535,"about_ca_system_score_codex":0.00086072425,"about_ca_system_score_gemma":0.00088888366,"threshold_uncertainty_score":0.015619278},"labels":[],"label_agreement":null},{"id":"W4210293606","doi":"10.1007/s41066-021-00311-0","title":"A perceptual computer for hierarchical portfolio selection based on interval type-2 fuzzy sets","year":2022,"lang":"en","type":"article","venue":"Granular Computing","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Portfolio; Selection (genetic algorithm); Rank (graph theory); Set (abstract data type); Computer science; Perception; Interval (graph theory); Fuzzy set; Fuzzy logic; Artificial intelligence; Machine learning; Data mining; Mathematics; Psychology; Finance","score_opus":0.12159274920586506,"score_gpt":0.3953482125052738,"score_spread":0.27375546329940875,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210293606","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.030919079,0.00012806352,0.95805645,0.00016647387,0.00008828848,0.00014228241,0.0001559057,0.005011645,0.005331837],"genre_scores_gemma":[0.3942511,0.00016402174,0.6018937,0.00016227417,0.00003363215,0.00020824844,0.00018535933,0.0002758858,0.002825716],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996754,0.00008674071,0.000028539034,0.00007371142,0.00010873157,0.000027040787],"domain_scores_gemma":[0.9988771,0.00073313876,0.00004494556,0.00013286801,0.00013782542,0.00007416754],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00091841095,0.00041945453,0.00074372836,0.0007581161,0.00044991955,0.001737653,0.001027083,0.0006745922,0.013395811],"category_scores_gemma":[0.0036555196,0.00027780255,0.00053230237,0.0006391774,0.0005007593,0.0013467061,0.0011529202,0.0005378072,0.0009723693],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016664194,0.0002945654,0.0019428609,0.00051888096,0.00013161008,0.00062555517,0.0007956315,0.13567108,0.053113602,0.07576673,0.012683776,0.7167893],"study_design_scores_gemma":[0.00007407402,0.00013189806,0.00058621384,0.000039579718,0.00004019473,0.0001143411,0.00007726265,0.9640929,0.006641299,0.022531344,0.005643731,0.00002707525],"about_ca_topic_score_codex":0.0020375154,"about_ca_topic_score_gemma":0.0018506936,"teacher_disagreement_score":0.013395811,"about_ca_system_score_codex":0.00048372385,"about_ca_system_score_gemma":0.0004897411,"threshold_uncertainty_score":0.044813454},"labels":[],"label_agreement":null},{"id":"W4391166932","doi":"10.1007/s41066-023-00428-4","title":"Pythagorean fuzzy aczel-alsina power bonferroni mean operators for multi-attribute decision-making","year":2024,"lang":"en","type":"article","venue":"Granular Computing","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Pythagorean theorem; Bonferroni correction; Mathematics; Fuzzy logic; Statistics; Artificial intelligence; Computer science","score_opus":0.13787061863298264,"score_gpt":0.43617993167964686,"score_spread":0.2983093130466642,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391166932","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009022223,0.0010340384,0.98617435,0.000353989,0.00010458518,0.000043782,0.00005169162,0.000051944044,0.0031634062],"genre_scores_gemma":[0.38976413,0.0017135753,0.602691,0.000252966,0.0002748021,0.00038999526,0.000116151765,0.0000631222,0.0047341995],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99655724,0.0015948212,0.00023745175,0.0004960302,0.000915057,0.00019933432],"domain_scores_gemma":[0.9946295,0.0037642529,0.00028009323,0.000350592,0.0008397914,0.00013578516],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006684034,0.00093066227,0.0017779557,0.001603228,0.001335205,0.0023325523,0.0013886357,0.0012865467,0.0027050765],"category_scores_gemma":[0.016060509,0.00039031685,0.0017194591,0.0025050128,0.0023966932,0.0029203533,0.002539177,0.003313838,0.00039059494],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020674976,0.00006446405,0.0005069151,0.00041299645,0.000126143,0.00014334582,0.00040137168,0.088265516,0.0024689583,0.76272845,0.0019604957,0.14271453],"study_design_scores_gemma":[0.00003018102,0.00011740403,0.000428468,0.00007987018,0.00006744608,0.00012458906,0.00007324947,0.4029132,0.0019691132,0.59007335,0.0040787067,0.00004440204],"about_ca_topic_score_codex":0.0018987645,"about_ca_topic_score_gemma":0.0015088437,"teacher_disagreement_score":0.006684034,"about_ca_system_score_codex":0.0019380446,"about_ca_system_score_gemma":0.0019893963,"threshold_uncertainty_score":0.03534895},"labels":[],"label_agreement":null},{"id":"W4396768995","doi":"10.1007/s41066-024-00477-3","title":"Multi-level state evaluation in complex systems: information granules and evidence theory approach","year":2024,"lang":"en","type":"article","venue":"Granular Computing","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Ambiguity; Vagueness; Computer science; Context (archaeology); State (computer science); Complex system; Task (project management); Domain (mathematical analysis); Component (thermodynamics); Artificial intelligence; Mathematics; Fuzzy logic; Systems engineering; Engineering; Algorithm","score_opus":0.43403508438861904,"score_gpt":0.45029309413445323,"score_spread":0.01625800974583419,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396768995","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.022032082,0.00414396,0.96887666,0.0013419823,0.00011568517,0.00013194814,0.00015779118,0.00010453358,0.0030954075],"genre_scores_gemma":[0.73082584,0.0033213063,0.2639376,0.00023021213,0.0002994607,0.00035670408,0.00018095563,0.000031473515,0.00081647735],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99465805,0.0025112375,0.0006843633,0.0005704994,0.0013205764,0.000255304],"domain_scores_gemma":[0.9704132,0.024886115,0.0017761027,0.001047476,0.001481031,0.0003960046],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010583168,0.0011898244,0.0034628606,0.006567254,0.0008129033,0.007820472,0.0017704833,0.0021321187,0.0015806117],"category_scores_gemma":[0.034997214,0.000803025,0.001934436,0.0046572955,0.003391838,0.0069259643,0.0032301687,0.0022946016,0.00012970564],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003026654,0.00020324964,0.0039313203,0.0012995149,0.00074701203,0.00040735287,0.0006359204,0.34319496,0.0016400086,0.52845025,0.0014009248,0.11778681],"study_design_scores_gemma":[0.00003563292,0.00007319521,0.001070178,0.00026188925,0.00018856043,0.000068923095,0.00016032497,0.5356752,0.00062289427,0.4608247,0.00096027344,0.000058204794],"about_ca_topic_score_codex":0.0025236644,"about_ca_topic_score_gemma":0.0014138462,"teacher_disagreement_score":0.010583168,"about_ca_system_score_codex":0.0021174436,"about_ca_system_score_gemma":0.0015835877,"threshold_uncertainty_score":0.055969775},"labels":[],"label_agreement":null}]}