{"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":"65f8e9146fd0","filters":{"venue":"Iranian Journal of Science and Technology Transactions of Electrical Engineering"}},"results":[{"id":"W3120672047","doi":"10.1007/s40998-020-00398-2","title":"Automated Plant Species Identification Using Leaf Shape-Based Classification Techniques: A Case Study on Iranian Maples","year":2021,"lang":"en","type":"article","venue":"Iranian Journal of Science and Technology Transactions of Electrical Engineering","topic":"Botanical Research and Applications","field":"Agricultural and Biological Sciences","cited_by":8,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Guelph","funders":"","keywords":"Preprocessor; Petiole (insect anatomy); Support vector machine; Plant taxonomy; Feature extraction; Plant identification; Pattern recognition (psychology); Artificial intelligence; Identification (biology); Classifier (UML); Computer science; Botany; Biology; Taxonomy (biology); Genus","authors":[{"name":"Mojgansadat Mohtashamian","is_ca":false},{"name":"Mahmood Karimian","is_ca":false},{"name":"Faisal Moola","is_ca":true},{"name":"Kaveh Kavousi","is_ca":false},{"name":"Ali Masoudi‐Nejad","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04006436519391227,"gpt":0.2766582983840029,"spread":0.2365939331900906,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005396936,0.0001035098,0.0001942631,0.0002674922,0.0003247318,0.00006317492,0.0002750639,0.00009689466,0.00001647712],"category_scores_gemma":[0.0002803582,0.00005639348,0.00005255769,0.003274627,0.000308389,0.0001840668,0.000008986321,0.0003403581,5.903223e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008247105,"about_ca_system_score_gemma":0.0001243837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001305514,"about_ca_topic_score_gemma":0.00002142996,"domain_scores_codex":[0.9986995,0.00002608291,0.0004163847,0.0002267852,0.0003924966,0.0002387527],"domain_scores_gemma":[0.9989344,0.0001660009,0.0001469447,0.00009346826,0.0005414161,0.0001177271],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001188821,0.0003019575,0.0002524889,0.000005226495,0.00001172582,0.0001339383,0.00002578969,0.0001051973,0.9636093,0.0002502849,0.000002474013,0.03528972],"study_design_scores_gemma":[0.0006045058,0.002574635,0.0269537,0.0001636625,0.0001068436,0.004913245,0.004260176,0.2420494,0.7173997,0.0001852996,0.0004266977,0.0003622241],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914685,0.0000783112,0.006788203,0.001352866,0.00002546013,0.0001618864,0.00001360703,0.0001025372,0.000008645961],"genre_scores_gemma":[0.9983816,0.00003039977,0.001540852,0.000011609,0.0000208062,0.000008148418,8.363207e-7,0.000001637065,0.00000409121],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2462097,"threshold_uncertainty_score":0.2497608,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4406274801","doi":"10.1007/s40998-024-00782-2","title":"Robust $${H}_{\\infty }$$ Output Consensus in Heterogeneous Multi-agent Discrete-Time Systems Using Q-Learning Algorithm","year":2025,"lang":"en","type":"article","venue":"Iranian Journal of Science and Technology Transactions of Electrical Engineering","topic":"Adaptive Dynamic Programming Control","field":"Computer Science","cited_by":4,"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":"Robustness (evolution); Computer science; Upper and lower bounds; Discrete time and continuous time; Multi-agent system; Stability theory; Control theory (sociology); Stability (learning theory); System dynamics; Algorithm; Mathematical optimization; Mathematics; Control (management); Nonlinear system; Artificial intelligence; Machine learning","authors":[{"name":"Amir Parviz Valadbeigi","is_ca":true},{"name":"‪Farzad Soltanian‬‏","is_ca":true},{"name":"Mokhtar Shasadeghi","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.009852557882422003,"gpt":0.2227283394231707,"spread":0.2128757815407487,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007726835,0.0001461657,0.0003642447,0.002140722,0.0001619686,0.0000661591,0.0006827425,0.0001206128,3.526317e-7],"category_scores_gemma":[0.000239197,0.0001382246,0.00006068153,0.003404866,0.0004389036,0.0002669578,0.00003437475,0.0006035594,2.830664e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002254286,"about_ca_system_score_gemma":0.0002924877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001497275,"about_ca_topic_score_gemma":8.165532e-7,"domain_scores_codex":[0.9984988,0.0000295159,0.0005285466,0.000256882,0.0002861209,0.0004001178],"domain_scores_gemma":[0.9990746,0.0001117859,0.0001782387,0.0001753012,0.0003716088,0.0000884189],"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":[0.00001073745,0.0001195714,0.0002904404,0.00002848792,0.00008062466,0.0001312832,0.0001277156,0.802746,0.04712089,0.001265272,5.30095e-7,0.1480785],"study_design_scores_gemma":[0.0005805338,0.0002136213,0.0001171668,0.0001214917,0.0000226929,0.0005420335,0.00004693285,0.9962397,0.0019194,0.00004445398,0.00003929909,0.0001126351],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04823488,0.001060521,0.9501036,0.0002275469,0.0001805312,0.0001236543,8.804982e-7,0.00006472808,0.000003616846],"genre_scores_gemma":[0.8519253,0.00002128609,0.1480229,0.000004614662,0.000005596975,0.000002604818,3.025936e-8,0.000005441446,0.00001214539],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8036904,"threshold_uncertainty_score":0.5636634,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2914497378","doi":"10.1007/s40998-019-00174-x","title":"Efficient Design of Reflectarrays Using Planar Microstrip and 3D All-Metal Unit Cells for 5G Applications","year":2019,"lang":"en","type":"article","venue":"Iranian Journal of Science and Technology Transactions of Electrical Engineering","topic":"Advanced Antenna and Metasurface Technologies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"","keywords":"Microstrip; Broadband; Bandwidth (computing); Planar; Microstrip antenna; Materials science; Cuboid; High-gain antenna; Concentric; Optics; Optoelectronics; Antenna (radio); Physics; Telecommunications; Engineering; Computer science; Mathematics; Geometry","authors":[{"name":"Rania R. Elsharkawy","is_ca":false},{"name":"Moataza A. Hindy","is_ca":false},{"name":"Abdel-Razik Sebak","is_ca":true},{"name":"Adel Saleeb","is_ca":false},{"name":"El‐Sayed M. El‐Rabaie","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01527783306897629,"gpt":0.2368801785897503,"spread":0.221602345520774,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000268487,0.0001107815,0.0002756016,0.0009303803,0.00006024046,0.000007363477,0.0002135267,0.0001085348,9.971864e-7],"category_scores_gemma":[0.0000426533,0.0001026561,0.00003541914,0.001303368,0.000332298,0.0001089709,0.00000324497,0.0002490576,1.501544e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003567214,"about_ca_system_score_gemma":0.00005318359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":6.457255e-7,"about_ca_topic_score_gemma":9.626715e-8,"domain_scores_codex":[0.9991905,0.000002986417,0.0003138833,0.0001214537,0.000131694,0.0002394939],"domain_scores_gemma":[0.9994561,0.00008202945,0.00008985054,0.0001135186,0.0002090679,0.00004940261],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000007319835,0.00001437143,0.00001303747,0.00004144453,0.00002356904,5.126236e-7,0.0000213328,0.2699144,0.7256446,0.000161735,2.243882e-7,0.004157413],"study_design_scores_gemma":[0.000358955,0.0003435728,0.00001721891,0.00004979109,0.00005718334,0.0001139222,0.0001085118,0.3257401,0.6728194,0.0001710632,0.0001133856,0.000106876],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3698723,0.001062434,0.628782,0.00002550812,0.00004561508,0.0001582862,0.000004047604,0.00004650378,0.000003228633],"genre_scores_gemma":[0.8881199,0.0002367448,0.111622,0.000001629865,0.000003570549,0.000004121238,7.061122e-8,0.00001031891,0.000001605209],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5182476,"threshold_uncertainty_score":0.4186193,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4410094289","doi":"10.1007/s40998-025-00819-0","title":"A Novel Differential Flatness Control Approach of an Electric Vehicle Using Energy Management Methodology","year":2025,"lang":"en","type":"article","venue":"Iranian Journal of Science and Technology Transactions of Electrical Engineering","topic":"Electric and Hybrid Vehicle Technologies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Flatness (cosmology); Differential (mechanical device); Electric vehicle; Automotive engineering; Computer science; Control engineering; Materials science; Mechanical engineering; Engineering; Physics; Aerospace engineering","authors":[{"name":"S Poorani","is_ca":false},{"name":"P. Kathirvel","is_ca":false},{"name":"P. Josephin Shermila","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01206423420959695,"gpt":0.2289163623987198,"spread":0.2168521281891228,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004160222,0.0001591817,0.0004663763,0.003056007,0.00009386719,0.00001284733,0.0005154075,0.0002232839,0.000001369298],"category_scores_gemma":[0.00006014854,0.0001512538,0.00006683747,0.004420858,0.0003878953,0.0002377737,0.00001223576,0.0005346093,2.438111e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009316837,"about_ca_system_score_gemma":0.00008640249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007042045,"about_ca_topic_score_gemma":4.837927e-7,"domain_scores_codex":[0.9987001,0.00001326256,0.0005100432,0.0001776753,0.0002314763,0.0003674467],"domain_scores_gemma":[0.9993269,0.0000807961,0.0001080104,0.0001809386,0.0002449058,0.00005843314],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002673865,0.000118575,0.00006340792,0.00007718171,0.0001633494,0.000005214079,0.00001513731,0.04068111,0.8532168,0.0114636,7.800824e-7,0.0941681],"study_design_scores_gemma":[0.0008627639,0.0003075399,0.0005645906,0.00004114406,0.0001541924,0.0002068011,0.00004584916,0.6595358,0.3375241,0.0006214437,0.00001197273,0.0001238897],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3748525,0.0008478946,0.62405,0.00003022274,0.0000632838,0.0000498124,9.263054e-7,0.00007949455,0.00002594882],"genre_scores_gemma":[0.9572817,0.0002116218,0.04247405,0.00000465631,0.000008547605,0.000004443468,7.903891e-8,0.00001159695,0.000003307224],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6188546,"threshold_uncertainty_score":0.6167953,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4308744807","doi":"10.1007/s40998-022-00566-6","title":"Reliability Assessment of Cyber-Physical Generation System","year":2022,"lang":"en","type":"article","venue":"Iranian Journal of Science and Technology Transactions of Electrical Engineering","topic":"Power System Reliability and Maintenance","field":"Engineering","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 Calgary","funders":"","keywords":"Reliability engineering; Reliability (semiconductor); Cyber-physical system; Computer science; Probabilistic logic; Monte Carlo method; Vulnerability assessment; Electric power system; Nonlinear system; Component (thermodynamics); Vulnerability (computing); Wind power; Bayesian probability; Random variable; Power (physics); Engineering; Computer security; Artificial intelligence; Statistics; Mathematics","authors":[{"name":"Amir Rostami","is_ca":false},{"name":"Mohammad Mohammadi","is_ca":false},{"name":"Hadis Karimipour","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.004784235975320972,"gpt":0.2077376710888875,"spread":0.2029534351135665,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007954601,0.00008506141,0.0002836827,0.0006346559,0.0001138437,0.000006419431,0.0002746731,0.00004471189,0.000002822505],"category_scores_gemma":[0.00006364662,0.00008008746,0.00006047584,0.001769981,0.0002440711,0.0001954092,0.00001076857,0.0004276746,6.737773e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002678255,"about_ca_system_score_gemma":0.0001340733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002734392,"about_ca_topic_score_gemma":2.700565e-7,"domain_scores_codex":[0.9988932,0.00001433254,0.0004188293,0.0001151386,0.0003738286,0.0001846894],"domain_scores_gemma":[0.9993783,0.00004511168,0.00009678175,0.0001520071,0.0002700947,0.00005767606],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000007281612,0.0001058664,0.000127091,0.0001598648,0.00003409418,0.000006079863,0.0001552324,0.410777,0.5768082,0.005216307,0.000008109835,0.006594854],"study_design_scores_gemma":[0.0003302856,0.0006814308,0.0006782475,0.0000513579,0.00004267646,0.0003551612,0.0002700097,0.9241217,0.07302655,0.00008314298,0.0002390893,0.0001203551],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7385725,0.0002207094,0.2606432,0.00007178139,0.0002916883,0.0000799345,0.000004766146,0.00005376543,0.00006160783],"genre_scores_gemma":[0.9969015,0.00002150517,0.00304325,0.000001162688,0.00001568525,0.000008050585,8.688067e-8,0.000006846327,0.000001903725],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5133446,"threshold_uncertainty_score":0.3265872,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4412046879","doi":"10.1007/s40998-025-00844-z","title":"CF-mMIMO Performance Analysis Under Central Processor Configuration Using Independent Precoding Sub-Units","year":2025,"lang":"en","type":"article","venue":"Iranian Journal of Science and Technology Transactions of Electrical Engineering","topic":"Advanced MIMO Systems Optimization","field":"Engineering","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":"Precoding; Computer science; Parallel computing; Computer architecture; Telecommunications; MIMO","authors":[{"name":"Reza Roshanghias","is_ca":false},{"name":"Reza Saadat","is_ca":false},{"name":"Saeed Gazor","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.00703119606851966,"gpt":0.2124296587672337,"spread":0.205398462698714,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002636295,0.0001136476,0.0002594401,0.002525971,0.0001295467,0.00002552208,0.0001944029,0.0001123631,0.00000234709],"category_scores_gemma":[0.00007292003,0.0001144399,0.00003607434,0.007634214,0.0001476168,0.0006091851,0.000004144979,0.0003255442,9.105828e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002024705,"about_ca_system_score_gemma":0.0001759175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001381909,"about_ca_topic_score_gemma":0.000001894764,"domain_scores_codex":[0.998991,0.000005223469,0.0004247443,0.0001230262,0.0001915572,0.0002644127],"domain_scores_gemma":[0.9992267,0.00002937378,0.000099549,0.0000925183,0.0004923209,0.00005947916],"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":[0.000005021696,0.00001045631,0.0004420956,0.00004908557,0.00009894528,9.124892e-7,0.00005571984,0.8340384,0.1594613,0.000205201,2.702477e-7,0.005632616],"study_design_scores_gemma":[0.0002308481,0.00006041898,0.0009855886,0.00009447455,0.0001719652,0.000045856,0.00009718497,0.7859045,0.2122822,0.00002965235,0.000005344193,0.00009197094],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3980011,0.0003077268,0.6014553,0.00002525782,0.00009340675,0.00005495983,6.782381e-7,0.0000429029,0.00001866512],"genre_scores_gemma":[0.9948222,0.0001899761,0.004961341,0.000002388273,0.000009093656,0.000002356284,2.099299e-7,0.000007917582,0.000004490437],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5968211,"threshold_uncertainty_score":0.4666723,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2556203306","doi":"10.1007/s40998-016-0011-3","title":"Semi-Automatic Rule Learning Method Enabling Information Extraction for Ontology Population","year":2016,"lang":"en","type":"article","venue":"Iranian Journal of Science and Technology Transactions of Electrical Engineering","topic":"Semantic Web and Ontologies","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":"University of New Brunswick","funders":"","keywords":"Computer science; Semantics of Business Vocabulary and Business Rules; Ontology; Information extraction; Business rule; Ontology learning; Domain (mathematical analysis); Information retrieval; Artificial intelligence; Semantic Web; Upper ontology; Business process; Suggested Upper Merged Ontology; Engineering","authors":[{"name":"Girish R. Ranganathan","is_ca":true},{"name":"Yevgen Biletskiy","is_ca":true},{"name":"Ismail Akbari","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.006942704471639155,"gpt":0.2482058464059338,"spread":0.2412631419342946,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008433118,0.00007793101,0.0001972154,0.001345649,0.0001551847,0.00003348888,0.0003411546,0.0001027411,0.000001433196],"category_scores_gemma":[0.0008093454,0.00005692953,0.00004287548,0.001248505,0.0001100014,0.001831096,0.000008631,0.0001796123,3.559115e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007243549,"about_ca_system_score_gemma":0.00008291114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004860912,"about_ca_topic_score_gemma":7.181627e-7,"domain_scores_codex":[0.9990577,0.00001251721,0.0003945769,0.0001107975,0.000202501,0.0002218687],"domain_scores_gemma":[0.9989719,0.0002775126,0.0002300574,0.00009930127,0.0003737036,0.00004747249],"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":[0.000007128222,0.00001812383,0.0003390164,0.00002393125,0.00001608179,0.000001353641,0.0001240198,0.002084096,0.1322222,0.007661487,0.000001197645,0.8575013],"study_design_scores_gemma":[0.001534274,0.001421244,0.007698643,0.0002271705,0.00007147275,0.001581422,0.000259889,0.8012527,0.175821,0.009030058,0.0007918222,0.0003102878],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1124362,0.0001259199,0.8861545,0.0009895925,0.0001496402,0.00006262085,2.441792e-7,0.00007481463,0.000006453345],"genre_scores_gemma":[0.8431556,0.00004846072,0.156771,0.000006930162,0.000009282805,0.000003381373,5.033796e-8,0.000002318688,0.000002997605],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8571911,"threshold_uncertainty_score":0.2321519,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4415241747","doi":"10.1007/s40998-025-00915-1","title":"A Triboelectric Sensor for Detecting Extremely Low Airflow","year":2025,"lang":"en","type":"article","venue":"Iranian Journal of Science and Technology Transactions of Electrical Engineering","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Heritage College","funders":"","keywords":"Triboelectric effect; Airflow; Sensitivity (control systems); SIGNAL (programming language); Voltage; Flow (mathematics); Power (physics); Current (fluid)","authors":[{"name":"Suvobrata Sil","is_ca":true},{"name":"Arunangshu Ghosh","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.006046813386298501,"gpt":0.2130063422041935,"spread":0.206959528817895,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003617901,0.000125045,0.0002966703,0.001622342,0.0001297946,0.00002114562,0.0002202819,0.0001070966,0.000001986171],"category_scores_gemma":[0.0005974381,0.0001196396,0.00005683046,0.002798278,0.0001805534,0.0002264368,0.000003689223,0.0002587843,1.200948e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007929169,"about_ca_system_score_gemma":0.00008208727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":7.871192e-7,"about_ca_topic_score_gemma":4.503537e-7,"domain_scores_codex":[0.9989904,0.00000409807,0.0004121105,0.0001247149,0.0001373282,0.0003313087],"domain_scores_gemma":[0.9992827,0.0001713651,0.00006660031,0.00009920853,0.0003160248,0.00006416124],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001732656,0.00001566891,0.00001090425,0.00007645747,0.00003201603,0.000003275786,0.00001961651,0.08276878,0.8336546,0.0003811062,0.000003698174,0.08301655],"study_design_scores_gemma":[0.0006226129,0.0002897014,0.00006955888,0.000145239,0.00005521346,0.0001355876,0.00004083426,0.1517902,0.8457994,0.0004820763,0.0004211513,0.0001484336],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3590846,0.0005957138,0.6396295,0.00007868943,0.0004039261,0.00006569918,0.000001633768,0.0001098766,0.00003041262],"genre_scores_gemma":[0.9790529,0.0001228125,0.02076551,0.000004611351,0.00002354733,0.000005560629,5.714875e-8,0.00001268429,0.00001230655],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6199683,"threshold_uncertainty_score":0.487876,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}