{"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":"b8e74d13eceb","filters":{"venue":"Transactions on Electrical and Electronic Materials"}},"results":[{"id":"W2026391935","doi":"10.4313/teem.2014.15.5.235","title":"Structural and Dielectric Studies of LLDPE/O-MMT Nanocomposites","year":2014,"lang":"en","type":"article","venue":"Transactions on Electrical and Electronic Materials","topic":"Polymer Nanocomposites and Properties","field":"Materials Science","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Linear low-density polyethylene; Materials science; Nanocomposite; Masterbatch; Crystallinity; Montmorillonite; Composite material; Scanning electron microscope; Microstructure; Transmission electron microscopy; Dielectric; Fourier transform infrared spectroscopy; Polyethylene; Chemical engineering; Nanotechnology","authors":[{"name":"Bouchaib Zazoum","is_ca":true},{"name":"Éric David","is_ca":true},{"name":"Anh Dung Ngô","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01284782892510399,"gpt":0.2412257565739832,"spread":0.2283779276488792,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000121145,0.0002431088,0.0001579023,0.0002029517,0.0001239364,0.0001759791,0.0001359558,0.0001748222,0.0008076764],"category_scores_gemma":[0.0002477589,0.0001520675,0.0001610862,0.0001959957,0.000177246,0.0001787735,0.0001102736,0.0002749334,0.0001261673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001537875,"about_ca_system_score_gemma":0.00008626373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007191748,"about_ca_topic_score_gemma":0.001049348,"domain_scores_codex":[0.9999081,0.000007342416,0.000007096026,0.00002823249,0.00002801685,0.00002118761],"domain_scores_gemma":[0.9998394,0.00004398573,0.00004760802,0.000008255055,0.00003731255,0.00002339899],"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":[0.00003543573,0.000005230465,0.00009264734,0.00002053162,0.000002057554,0.00003011194,0.00001471954,0.00006072421,0.9994285,0.00001522043,0.000004536331,0.0002904349],"study_design_scores_gemma":[0.00000348404,0.00008338158,0.001824639,0.000002588808,0.000007902661,0.00006791784,0.00002693674,0.0006465869,0.9970329,0.000007486708,0.0002936751,0.000002587445],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981499,0.000272344,0.0009485378,0.000010669,0.000004674413,0.000005156498,0.00008992591,0.00001542524,0.0005035959],"genre_scores_gemma":[0.9977826,0.0002088559,0.00131344,0.000008959239,0.000002424726,0.000008641658,0.00008851487,0.00001120028,0.0005753245],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008076764,"threshold_uncertainty_score":0.002701938,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4405228848","doi":"10.1007/s42341-024-00581-w","title":"Supervised Machine Learning Assisted-Modeling for Prediction of Geometrical and Electrical Parameters of Printed Antennas","year":2024,"lang":"en","type":"article","venue":"Transactions on Electrical and Electronic Materials","topic":"Antenna Design and Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Antenna (radio); Lasso (programming language); Machine learning; Mean squared error; Random forest; Computer science; Artificial intelligence; Mean absolute error; Ridge; Regression; Algorithm; Radiation pattern; Mathematics; Statistics; Telecommunications","authors":[{"name":"Anjani Kumar","is_ca":false},{"name":"Debanjali Sarkar","is_ca":false},{"name":"Taimoor Khan","is_ca":false},{"name":"S.R. Rengarajan","is_ca":false},{"name":"Yahia M. M. Antar","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0158091455909039,"gpt":0.2216740112019983,"spread":0.2058648656110944,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004448105,0.0005036573,0.0005077111,0.0003107921,0.0001741387,0.0004656378,0.0009587444,0.000823052,0.00141168],"category_scores_gemma":[0.001604987,0.0003287435,0.0006378213,0.0003189688,0.0002704315,0.0005055484,0.0003443668,0.0007873549,0.0006450907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004320086,"about_ca_system_score_gemma":0.0004401246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002712816,"about_ca_topic_score_gemma":0.003635876,"domain_scores_codex":[0.9997926,0.00007801175,0.000009936997,0.00004521139,0.00005363592,0.00002057482],"domain_scores_gemma":[0.9989022,0.0006594187,0.00009952373,0.0001164592,0.0002037121,0.00001861262],"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":[0.00005519519,0.00005238399,0.0007735144,0.00003783094,0.00002430735,0.00002549787,0.00001640692,0.9604636,0.002852182,0.001015663,0.000665943,0.03401743],"study_design_scores_gemma":[5.078654e-7,0.000002839234,0.00005225182,5.401711e-7,6.381071e-7,0.000002316505,5.669281e-7,0.9994093,0.0003178625,0.000175386,0.00003719438,6.41406e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0834766,0.0002437941,0.9126356,0.0001291736,0.00003979218,0.00002940526,0.0002620002,0.00171622,0.0014675],"genre_scores_gemma":[0.9249337,0.0001027462,0.07171942,0.00005405024,0.00002819107,0.00007468321,0.0004897329,0.0001028059,0.002494583],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002712816,"threshold_uncertainty_score":0.005393982,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3035386776","doi":"10.1007/s42341-020-00211-1","title":"Effective Work Function of Screen Printable Graphene-Decorated Conductive Nanocomposites","year":2020,"lang":"en","type":"article","venue":"Transactions on Electrical and Electronic Materials","topic":"Quantum Dots Synthesis And Properties","field":"Materials 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 Waterloo","funders":"","keywords":"Materials science; Nanocomposite; Work function; Electrical conductor; Conductor; Graphene; Nanotechnology; Electrode; Electronics; Work (physics); Optoelectronics; Composite material; Electrical engineering; Mechanical engineering","authors":[{"name":"N. Bakhshizadeh","is_ca":true},{"name":"Roohollah Samadzadeh Tarighat","is_ca":true},{"name":"S. Sivoththaman","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01319090531303274,"gpt":0.2084852113068315,"spread":0.1952943059937987,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008087149,0.0002806805,0.0001234494,0.000286246,0.0001227253,0.0003193333,0.0002470493,0.0002717437,0.001792472],"category_scores_gemma":[0.0001928464,0.0001164736,0.0001043182,0.0001521633,0.0001536717,0.0002628188,0.0001468699,0.0002350668,0.0002708505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001970168,"about_ca_system_score_gemma":0.00007046595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002482737,"about_ca_topic_score_gemma":0.0006560523,"domain_scores_codex":[0.9999324,0.000006361968,0.000003290931,0.00001605842,0.00002355693,0.00001824997],"domain_scores_gemma":[0.9999194,0.00002884269,0.00001474993,0.000008144133,0.00001468957,0.000014145],"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":[0.0000796821,0.00002101819,0.00006939492,0.00004133979,0.000003856087,0.00006901252,0.00002673474,0.0004248421,0.9953342,0.0003535713,0.0001621501,0.003414178],"study_design_scores_gemma":[0.000004191027,0.00006173704,0.0006510951,0.000002910405,0.00000604143,0.00003003471,0.00001397442,0.002608507,0.9957317,0.00007281412,0.0008110606,0.000005924759],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9907913,0.000492834,0.003119346,0.00006328431,0.00003534648,0.000005568219,0.0001335959,0.0001453869,0.005213442],"genre_scores_gemma":[0.9958742,0.0001425569,0.001442716,0.00001494003,0.000004319934,0.000005335857,0.00006494939,0.0000289885,0.002421935],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001792472,"threshold_uncertainty_score":0.005996406,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}