{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":3,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":3,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"757cac9a8c6f","filters":{"venue":"Journal of Soft Computing Paradigm"}},"results":[{"id":"W3002382881","doi":"10.36548/jscp.2019.2.001","title":"PERFORMANCE ENHANCEMENTS OF COGNITIVE RADIO NETWORKS USING THE IMPROVED FUZZY LOGIC","year":2019,"lang":"en","type":"article","venue":"Journal of Soft Computing Paradigm","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":30,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Carbon Engineering (Canada)","funders":"","keywords":"Cognitive radio; Computer network; Computer science; Fuzzy logic; Throughput; Channel (broadcasting); Transmission (telecommunications); Wireless; Service (business); Spectrum management; Genetic algorithm; Channel allocation schemes; Telecommunications; Artificial intelligence; Machine learning","authors":[{"name":"P. Ebby Darney","is_ca":true},{"name":"I. Jeena Jacob","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01701483151726205,"gpt":0.2558906280732207,"spread":0.2388757965559586,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001079559,0.0002196253,0.0004959653,0.0001375182,0.0002154398,0.000122109,0.0007258735,0.0000739478,0.000007109216],"category_scores_gemma":[0.00005867276,0.0001563095,0.0002134683,0.0005376464,0.0001051692,0.00040442,0.0001996842,0.0005148502,0.000003613213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008633334,"about_ca_system_score_gemma":0.0001393624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006932959,"about_ca_topic_score_gemma":6.401629e-7,"domain_scores_codex":[0.9979629,0.0001519095,0.0007805512,0.0002562868,0.0003976093,0.0004507621],"domain_scores_gemma":[0.9973301,0.000733247,0.001274602,0.0002783954,0.0002902398,0.00009341342],"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":[0.0004694159,0.0004923334,0.05786596,0.0001476542,0.001025382,0.0001136274,0.005164407,0.5840391,0.006805213,0.005492225,0.000197751,0.3381869],"study_design_scores_gemma":[0.0009170011,0.0004481888,0.01162063,0.0006705212,0.00004724261,0.0004297782,0.00006705675,0.9845877,0.0005933378,0.0003744893,0.00004844371,0.0001955879],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.521991,0.0006249557,0.4759442,0.00007976188,0.000859185,0.000143694,2.799823e-7,0.0000130158,0.0003439616],"genre_scores_gemma":[0.9925497,0.00007776899,0.006598553,0.0002377341,0.0005003493,1.938837e-7,4.950439e-7,0.0000147194,0.00002051252],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4705587,"threshold_uncertainty_score":0.6374115,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4407236541","doi":"10.36548/jscp.2024.4.007","title":"A Scalable and Secure Data Analytics Framework for Decentralized Autonomous Healthcare Systems using Fuzzy Logic, Blockchain Sharding, Dynamic Network Slicing, and ECC","year":2025,"lang":"en","type":"article","venue":"Journal of Soft Computing Paradigm","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"PotashCorp (Canada)","funders":"","keywords":"Blockchain; Scalability; Slicing; Computer science; Fuzzy logic; Distributed computing; Computer security; Database; Artificial intelligence; World Wide Web","authors":[{"name":"Venkata Surya Bhavana Harish Gollavilli","is_ca":false},{"name":"Kalyan Gattupalli","is_ca":true},{"name":"Harikumar Nagarajan","is_ca":false},{"name":"Poovendran Alagarsundaram","is_ca":false},{"name":"Surendar Rama Sitaraman","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03607975417298814,"gpt":0.3231184689491979,"spread":0.2870387147762098,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001594172,0.0002315835,0.0006346361,0.0002392289,0.0006152332,0.0003177811,0.00120605,0.0002935217,3.094094e-7],"category_scores_gemma":[0.000170829,0.0002170314,0.00007142437,0.0006742858,0.0001221923,0.0001207776,0.0007195103,0.0006005106,1.939097e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001392176,"about_ca_system_score_gemma":0.0002564394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004815355,"about_ca_topic_score_gemma":0.0000129715,"domain_scores_codex":[0.9978932,0.0001044015,0.0007961487,0.0005151,0.0001785105,0.0005126925],"domain_scores_gemma":[0.9975311,0.0006051558,0.0007645884,0.0007682398,0.0001745374,0.0001563532],"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":[0.00003762037,0.0001070675,0.01229191,0.0004436238,0.0003354717,0.00002549016,0.0005799277,0.07696047,0.0000182301,0.8894752,0.0009999336,0.01872504],"study_design_scores_gemma":[0.000478638,0.00007552431,0.0005503921,0.0005794912,0.00007270252,0.0002764903,0.00006529644,0.8738703,0.000003082687,0.121773,0.002089408,0.0001657638],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06864227,0.01556954,0.910807,0.003975444,0.0005049512,0.0003840505,0.00001238877,0.00009669701,0.00000769824],"genre_scores_gemma":[0.7393881,0.0001839461,0.2599552,0.0003322405,0.0001175603,0.000002236017,0.000002909137,0.00001133868,0.000006457529],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7969098,"threshold_uncertainty_score":0.8850282,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4388100099","doi":"10.36548/jscp.2023.3.007","title":"Fuel Sales Forecasting with SARIMA-GARCH and Rolling Window","year":2023,"lang":"en","type":"article","venue":"Journal of Soft Computing Paradigm","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Mean absolute percentage error; Autoregressive conditional heteroskedasticity; Mean squared error; Econometrics; Term (time); Autoregressive integrated moving average; Statistics; Variance (accounting); Sample (material); Moving average; Computer science; Economics; Time series; Mathematics; Volatility (finance)","authors":[{"name":"Ramneet Singh Chadha","is_ca":false},{"name":"Jugesh","is_ca":false},{"name":"Shahzadi Parveen","is_ca":false},{"name":"Jasmehar Singh","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04849548533764557,"gpt":0.2379490608984641,"spread":0.1894535755608185,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001817812,0.000133513,0.0004387907,0.0002999686,0.0001543788,0.0001258067,0.0001656784,0.00005851639,0.00001005842],"category_scores_gemma":[0.0001669575,0.0001256639,0.00008752771,0.0003276345,0.00005922353,0.0001541379,0.0000715791,0.0002971111,0.000009227611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000453744,"about_ca_system_score_gemma":0.00003262352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002391551,"about_ca_topic_score_gemma":0.000009241371,"domain_scores_codex":[0.9986885,0.00001958959,0.0007186613,0.0002103433,0.0000698713,0.0002930028],"domain_scores_gemma":[0.9985843,0.0003847794,0.000746662,0.0001306878,0.00004665355,0.0001069118],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007922761,0.00003415903,0.9808486,0.0001223272,0.0001044328,0.00005815211,0.0008224203,0.005273359,0.000005550383,0.005986969,0.0001038758,0.006560967],"study_design_scores_gemma":[0.0007401214,0.0001473363,0.2295517,0.0001229729,0.00000978665,0.0001736279,0.00006354003,0.7389454,0.000001497543,0.02768485,0.002375665,0.0001835609],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9696733,0.001219538,0.02676395,0.0004169025,0.0002495512,0.00007527967,0.00001014005,0.00002788572,0.001563494],"genre_scores_gemma":[0.9956744,0.00008372472,0.003879244,0.00004988099,0.0002169024,3.613893e-7,0.000002795094,0.00002123202,0.00007139866],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7512969,"threshold_uncertainty_score":0.5124424,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}