{"meta":{"query_hash":"0118f55610d7","filters":{"venue":"Advances in Multidisciplinary & Scientific Research Journal Publication"},"cohort_total":5,"direct_labels_cover":0,"predictions_cover":5,"exported":5,"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/0118f55610d7","api":"https://metacan.xera.ac/api/v1/cohort?venue=Advances+in+Multidisciplinary+%26+Scientific+Research+Journal+Publication"},"results":[{"id":"W4289546082","doi":"10.22624/aims/maths/v10n2p1","title":"A Price-Based Grid Resources Pricing Approach for NonStorable Real Assets","year":2022,"lang":"en","type":"article","venue":"Advances in Multidisciplinary & Scientific Research Journal Publication","topic":"Stochastic processes and financial applications","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Western Canada Research Grid","keywords":"Computer science; Grid; Grid computing; Valuation (finance); Distributed computing; Quality of service; Scheduling (production processes); Operations research; Mathematical optimization; Finance; Computer network; Economics","score_opus":0.07073608051356975,"score_gpt":0.3487339785850632,"score_spread":0.27799789807149344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4289546082","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03727876,0.0063209543,0.93517965,0.003984621,0.0011343976,0.0020088921,0.00044668608,0.00006196772,0.013584095],"genre_scores_gemma":[0.922689,0.0002726189,0.07041903,0.000036038586,0.0005106832,0.0038142228,0.00048178044,0.000055263234,0.0017213385],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99683607,0.00007876069,0.0009516858,0.00090391154,0.00043587483,0.0007936714],"domain_scores_gemma":[0.9975685,0.00039611905,0.0006601,0.0005607428,0.0006271118,0.00018745234],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.01164182,0.00015523595,0.00030032502,0.0016883306,0.004022586,0.00070773193,0.0011724483,0.000059541286,0.00007623501],"category_scores_gemma":[0.0010216928,0.00017133744,0.000119050696,0.0037136301,0.00032689463,0.0013685656,0.00036692893,0.0008365961,0.000027548349],"study_design_candidate":"theoretical_or_conceptual","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":[0.00066991546,0.0039644507,0.05611035,0.00039658908,0.000037826143,0.000010051628,0.004995448,0.09011018,0.0010226478,0.81153435,0.0096696,0.021478599],"study_design_scores_gemma":[0.0020544957,0.00045614524,0.01985098,0.000042222917,0.000005458706,0.000040358304,0.0026228607,0.2941654,0.000060502094,0.3334945,0.34663492,0.00057215727],"about_ca_topic_score_codex":0.00004567933,"about_ca_topic_score_gemma":0.0000156415,"teacher_disagreement_score":0.88541025,"about_ca_system_score_codex":0.00084915524,"about_ca_system_score_gemma":0.00034072652,"threshold_uncertainty_score":0.99727404},"labels":[],"label_agreement":null},{"id":"W4388580346","doi":"10.22624/aims/maths/v11n4p2","title":"Survey of the Influence of Routing Protocols to Network Performance Enhancement","year":2023,"lang":"en","type":"article","venue":"Advances in Multidisciplinary & Scientific Research Journal Publication","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Routing protocol; Computer network; Routing domain; Policy-based routing; Scalability; Link-state routing protocol; Interior gateway protocol; Hierarchical routing; Zone Routing Protocol; Distributed computing; Network performance; Reliability (semiconductor); Routing (electronic design automation); Database","score_opus":0.08086976986689175,"score_gpt":0.41320932116737674,"score_spread":0.332339551300485,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388580346","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9785229,0.00020432188,0.0147717595,0.0014927364,0.00057238346,0.004200287,0.0000050602844,0.00003647425,0.00019408099],"genre_scores_gemma":[0.9934086,0.00013958939,0.0050191055,0.000010450742,0.000054068332,0.0009510827,0.000007671617,0.000008776999,0.00040061053],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9952249,0.000791121,0.00089224614,0.0005204834,0.0018085929,0.0007626831],"domain_scores_gemma":[0.9949776,0.00083098665,0.00045265403,0.0010668443,0.0025257915,0.00014612572],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.022876551,0.000120589284,0.00021732121,0.0006146191,0.0009543347,0.00039418472,0.0030089286,0.000046896916,0.000006296139],"category_scores_gemma":[0.002428138,0.00008578468,0.000055710643,0.013394399,0.00036862167,0.0023301141,0.0016779338,0.00053039,0.000030648465],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005429188,0.00015014381,0.52756476,0.00007350255,0.00000560896,0.0000013897638,0.001175025,0.3861414,0.0024707126,0.0010800113,0.002354035,0.078929104],"study_design_scores_gemma":[0.00020168665,0.00013752609,0.87948495,0.00053376827,5.6674054e-7,0.0000033701085,0.000042598607,0.1150926,0.0010771396,0.001582864,0.0017459338,0.00009699156],"about_ca_topic_score_codex":0.000021594808,"about_ca_topic_score_gemma":0.00007581907,"teacher_disagreement_score":0.35192016,"about_ca_system_score_codex":0.00013861775,"about_ca_system_score_gemma":0.00046717352,"threshold_uncertainty_score":0.79286015},"labels":[],"label_agreement":null},{"id":"W4388585111","doi":"10.22624/aims/digital/v11n3p4","title":"Dynamics of a Decision Support System for Online Tendering","year":2023,"lang":"en","type":"article","venue":"Advances in Multidisciplinary & Scientific Research Journal Publication","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Procurement; Decision support system; Unified Modeling Language; Computer science; Work (physics); Process (computing); Process management; Systems engineering; Knowledge management; Engineering; Business; Software; Data mining","score_opus":0.14007661359016305,"score_gpt":0.437633590568862,"score_spread":0.29755697697869893,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388585111","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8612574,0.0008198516,0.11393294,0.010802057,0.006660818,0.0022377186,0.00027081903,0.0003066483,0.0037117556],"genre_scores_gemma":[0.99177504,0.00025979267,0.005167387,0.0000080584905,0.0006088421,0.000085167994,0.0012092781,0.000029468896,0.0008569887],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9969413,0.000034900375,0.00077006995,0.00049436063,0.0011589156,0.0006004008],"domain_scores_gemma":[0.9959372,0.0003731546,0.00039784232,0.0004805383,0.0027739299,0.000037321854],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008349923,0.00013225105,0.00021305573,0.0027162803,0.00087006675,0.00094722724,0.001077813,0.000069430556,0.000048651138],"category_scores_gemma":[0.0019365539,0.00011028198,0.00008449935,0.00592428,0.00033518134,0.0062150164,0.00064439455,0.0003608832,0.000113585746],"study_design_candidate":"design_other","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":[0.0005998678,0.0008056419,0.03715695,0.0024457797,0.00002091995,0.00004970363,0.00027014542,0.012064816,0.004821431,0.055929787,0.013440039,0.8723949],"study_design_scores_gemma":[0.0008540591,0.000049909588,0.022499219,0.000827763,0.000011882069,0.000041268275,0.0059963036,0.8505992,0.00028673222,0.0405359,0.077998385,0.00029933738],"about_ca_topic_score_codex":0.000019815754,"about_ca_topic_score_gemma":0.00033232733,"teacher_disagreement_score":0.8720956,"about_ca_system_score_codex":0.00022470576,"about_ca_system_score_gemma":0.00014366923,"threshold_uncertainty_score":0.9134134},"labels":[],"label_agreement":null},{"id":"W4416206447","doi":"10.22624/aims/digital/v13n3p3","title":"A Resilient Machine Learning-Driven Multi-Layered Security Model for Modern Cyberspace","year":2025,"lang":"","type":"article","venue":"Advances in Multidisciplinary & Scientific Research Journal Publication","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Intrusion detection system; Cyberspace; Flexibility (engineering); Anomaly detection; Access control; Network security; Data security; Computer security model; Encryption","score_opus":0.0559574914526237,"score_gpt":0.3984370208197575,"score_spread":0.34247952936713383,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416206447","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021990571,0.020320015,0.92975855,0.019911274,0.004132683,0.0030074234,0.00006345978,0.00012850987,0.0006875086],"genre_scores_gemma":[0.93290323,0.009125787,0.040066265,0.00004737576,0.00028021284,0.00044679508,0.00008985696,0.00004688612,0.016993618],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9878594,0.0025158275,0.0019537113,0.002670605,0.0027185904,0.0022818157],"domain_scores_gemma":[0.98901266,0.0011448797,0.0009737537,0.00177944,0.0063959695,0.0006933124],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.02075314,0.0005945617,0.00069020386,0.004240945,0.007876446,0.005264701,0.003998837,0.00044812466,0.000033067932],"category_scores_gemma":[0.0041779797,0.00059194706,0.00042469884,0.008643852,0.0015067678,0.009410399,0.002678363,0.004490519,0.000049611048],"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":[0.001050492,0.0025171658,0.0026808316,0.00039109364,0.00006035122,0.000018374156,0.014734805,0.7838141,0.0032041536,0.0154361,0.00430739,0.17178516],"study_design_scores_gemma":[0.002450147,0.00034083307,0.00034755113,0.00061187753,0.000015347374,0.000029041661,0.0006554107,0.89108497,0.00044159012,0.085561424,0.017995713,0.0004661054],"about_ca_topic_score_codex":0.00003589332,"about_ca_topic_score_gemma":0.0012538633,"teacher_disagreement_score":0.91091263,"about_ca_system_score_codex":0.0017842271,"about_ca_system_score_gemma":0.0021027317,"threshold_uncertainty_score":0.9996532},"labels":[],"label_agreement":null},{"id":"W7160860312","doi":"10.22624/aims/accrabespoke2025p39","title":"Digital Drivers and Economic Performance in Nigeria: A Disaggregated Analysis of ICT Value-Added, Mobile Broadband and Internet Penetration (2005-2024)","year":2025,"lang":"","type":"article","venue":"Advances in Multidisciplinary & Scientific Research Journal Publication","topic":"Economic Growth and Development","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Capital Commission","funders":"","keywords":"Broadband; Information and Communications Technology; The Internet; Internet access; Mobile broadband; Digital divide; Panel data; Mobile telephony","score_opus":0.015602599718247186,"score_gpt":0.3215302020540703,"score_spread":0.3059276023358231,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7160860312","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9854874,0.0059715584,0.0037414692,0.0008189262,0.0010961443,0.00079125946,0.000030817697,0.000010227955,0.0020521698],"genre_scores_gemma":[0.98830134,0.0072496226,0.0010444828,0.0000061212854,0.00002689189,0.00007513177,0.00006228427,0.000008646642,0.0032255102],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9952182,0.00040882686,0.0015994606,0.001314956,0.0005990904,0.00085942645],"domain_scores_gemma":[0.9974432,0.0004899176,0.0005847894,0.00061921263,0.00053259276,0.0003302755],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0073673283,0.00028591414,0.0005749632,0.0061044246,0.00064233807,0.003263266,0.0011165466,0.00013796244,0.00006100939],"category_scores_gemma":[0.00032594448,0.00028577086,0.000096762626,0.0048481724,0.0013125275,0.009614886,0.0011763966,0.0007697363,0.000010819754],"study_design_candidate":"observational","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":[0.00021203313,0.00029092835,0.8264783,0.00013660584,0.00013832019,0.000007056054,0.0044134376,0.016095055,0.00015797772,0.0011074848,0.00021911961,0.15074368],"study_design_scores_gemma":[0.0009880998,0.0001894928,0.43591213,0.00028884746,0.000023141558,0.000013433636,0.0014494567,0.55726206,0.00021269282,0.0012402915,0.0021962253,0.00022411394],"about_ca_topic_score_codex":0.000031747055,"about_ca_topic_score_gemma":0.001092146,"teacher_disagreement_score":0.541167,"about_ca_system_score_codex":0.0009966488,"about_ca_system_score_gemma":0.001165441,"threshold_uncertainty_score":0.99995947},"labels":[],"label_agreement":null}]}