{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":58,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":58,"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"},"query_hash":"7b9998e41e44","filters":{"venue":"IEEE Internet of Things Magazine"}},"results":[{"id":"W3153970166","doi":"10.1109/iotm.0001.2100012","title":"A Lightweight Concept Drift Detection and Adaptation Framework for IoT Data Streams","year":2021,"lang":"en","type":"article","venue":"IEEE Internet of Things Magazine","topic":"Data Stream Mining Techniques","field":"Computer Science","cited_by":152,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University","funders":"","keywords":"Concept drift; Adaptation (eye); Internet of Things; Anomaly detection; Big data; Analytics; Data stream mining; Data analysis","retraction":null,"screen_n_in":null,"score":{"opus":0.03850152748969257,"gpt":0.2891220454494537,"spread":0.2506205179597611,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002915262,0.0001529091,0.0002274195,0.00008759194,0.00003326243,0.0001738481,0.001170354,0.0001170796,0.00001164187],"category_scores_gemma":[0.0005208179,0.0001510974,0.00004021207,0.0001975368,0.00006917316,0.0008217937,0.0006499626,0.0001669419,0.000006396265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002424479,"about_ca_system_score_gemma":0.00005628945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006120018,"about_ca_topic_score_gemma":0.00004573382,"domain_scores_codex":[0.9986252,0.0000447399,0.0003538832,0.0005877785,0.000207841,0.0001806042],"domain_scores_gemma":[0.9980709,0.0003023842,0.0002779857,0.001101938,0.0001872567,0.00005952355],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005984343,0.0001799553,0.0001149321,0.0001330977,0.000126554,0.00003418139,0.005041709,0.000008332493,0.03127545,0.05535529,0.01976078,0.8879099],"study_design_scores_gemma":[0.0004287984,0.0004471618,0.000144109,0.0004425305,0.00004274434,0.00007273875,0.00006046972,0.4592238,0.4754947,0.04154332,0.0217952,0.0003044393],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01068837,0.0001930097,0.9872318,0.0006305515,0.0005351337,0.0001703735,0.00005865586,0.0002337367,0.000258394],"genre_scores_gemma":[0.3652934,0.0000164634,0.6341034,0.0001785712,0.0000672705,0.0000125064,0.0000575217,0.00001225957,0.0002586771],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8876054,"threshold_uncertainty_score":0.6161574,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3005998138","doi":"10.1109/iotm.0001.1900033","title":"Precision Aquaculture","year":2019,"lang":"en","type":"article","venue":"IEEE Internet of Things Magazine","topic":"Water Quality Monitoring Technologies","field":"Environmental Science","cited_by":101,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Dalhousie University","funders":"","keywords":"Aquaculture; Standardization; Interoperability; Internet of Things; Work (physics); Computer science; Cloud computing; Business; Environmental resource management; Data science; Fish <Actinopterygii>; Engineering; Environmental science; Fishery; World Wide Web","retraction":null,"screen_n_in":null,"score":{"opus":0.01483367711597306,"gpt":0.2480073747284655,"spread":0.2331736976124925,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000244111,0.0001252045,0.000174291,0.00003639839,0.000009929188,0.00002096413,0.0006484902,0.0001101636,0.001145693],"category_scores_gemma":[0.00006783694,0.0000974719,0.00008134001,0.0001180998,0.0001081121,0.0003309192,0.0003705019,0.0001793615,0.005678104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008076924,"about_ca_system_score_gemma":0.000001836976,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000259195,"about_ca_topic_score_gemma":0.000003456902,"domain_scores_codex":[0.9989579,0.0000235182,0.0002420875,0.0002685657,0.000328399,0.0001795348],"domain_scores_gemma":[0.9993864,0.00003876686,0.0001374184,0.0003954904,0.00001068103,0.00003125672],"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":[0.00007261504,0.0001257597,0.1441495,0.00004934183,0.00003297554,0.000005663613,0.002026594,0.0001957792,0.7691921,0.000214219,0.07283039,0.01110513],"study_design_scores_gemma":[0.000465903,0.000377123,0.0540598,0.0001703147,0.00001571689,0.00001043383,0.00007396792,0.001046496,0.876324,0.004687772,0.06243499,0.0003334678],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9827622,0.00001499029,0.000439415,0.0002932897,0.0006163831,0.0001498753,0.000001332634,0.0001733674,0.0155491],"genre_scores_gemma":[0.9714901,0.000004528971,0.005296807,0.00007655622,0.00001921286,0.000003572561,0.000001733716,0.00001243414,0.02309505],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1071319,"threshold_uncertainty_score":0.9997674,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4400070936","doi":"10.1109/iotm.001.2300174","title":"Beyond Reality: The Pivotal Role of Generative AI in the Metaverse","year":2024,"lang":"en","type":"article","venue":"IEEE Internet of Things Magazine","topic":"AI in Service Interactions","field":"Computer Science","cited_by":77,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Carleton University","funders":"","keywords":"Metaverse; Generative grammar; Epistemology; Computer science; Virtual reality; Philosophy; Human–computer interaction; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.01502971942471352,"gpt":0.2795555788354355,"spread":0.264525859410722,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007770204,0.0001472483,0.0002095004,0.000145994,0.00002717955,0.0001670996,0.001785765,0.00005160227,0.00005313655],"category_scores_gemma":[0.0000513894,0.00008533718,0.0001472633,0.0005105408,0.0001238456,0.0008804649,0.0002705581,0.000442729,0.0001177776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004641763,"about_ca_system_score_gemma":0.0000544412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001071698,"about_ca_topic_score_gemma":0.0003226608,"domain_scores_codex":[0.9985186,0.000185338,0.0004430695,0.0002881818,0.0003890366,0.0001757862],"domain_scores_gemma":[0.9985997,0.0004497891,0.0001523983,0.000645313,0.00012819,0.00002462936],"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":[0.00008322398,0.0005854293,0.0002041823,0.0002425863,0.0006246403,0.0001468879,0.2394586,0.001339047,0.1553069,0.3976826,0.1731137,0.03121221],"study_design_scores_gemma":[0.0003500599,0.0004373641,0.001005254,0.0004211481,0.0001108219,0.0002424921,0.002259771,0.6822698,0.1275679,0.09275854,0.09220804,0.0003688376],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4640027,0.002126136,0.2855425,0.1160097,0.008083216,0.001400344,0.00005282873,0.0004170949,0.1223655],"genre_scores_gemma":[0.993342,0.0000121201,0.002704226,0.00259048,0.00009594014,0.00002032533,0.000002302422,0.00001081263,0.001221774],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6809307,"threshold_uncertainty_score":0.3479949,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3015914955","doi":"10.1109/iotm.0001.1900073","title":"BLE Beacons in the Smart City: Applications, Challenges, and Research Opportunities","year":2020,"lang":"en","type":"article","venue":"IEEE Internet of Things Magazine","topic":"Bluetooth and Wireless Communication Technologies","field":"Computer Science","cited_by":65,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto; University of Guelph","funders":"","keywords":"Beacon; Internet of Things; Bluetooth; Wireless; Bluetooth Low Energy; Broadcasting (networking); Identifier; Unique identifier","retraction":null,"screen_n_in":null,"score":{"opus":0.2299384740015886,"gpt":0.3306882863785253,"spread":0.1007498123769367,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009494602,0.0000848079,0.0001498573,0.000153067,0.00004504555,0.00008594108,0.002299349,0.00006625637,0.000004191973],"category_scores_gemma":[0.0001072778,0.00006626294,0.00002523357,0.0002734359,0.0002762898,0.0003439581,0.0006292317,0.0004253592,0.00001679156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001149304,"about_ca_system_score_gemma":0.00003523492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007360262,"about_ca_topic_score_gemma":0.00002212898,"domain_scores_codex":[0.9989434,0.0001380301,0.0002431457,0.000230069,0.0002673675,0.0001779294],"domain_scores_gemma":[0.9987461,0.0003330748,0.00008938221,0.0006774586,0.0001078186,0.00004617068],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001322415,0.0001217698,0.0003016587,0.0001305312,0.00001975203,0.00001067436,0.01702213,0.00000150052,0.0009480274,0.4801199,0.01082264,0.4904882],"study_design_scores_gemma":[0.0008763666,0.0006856495,0.003827261,0.000255507,0.00001146236,0.00005198734,0.006159768,0.02451956,0.01641586,0.08395715,0.8627554,0.0004840524],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.09971232,0.04545566,0.09692495,0.6698903,0.0001980566,0.001778998,0.000008676321,0.0009663322,0.08506468],"genre_scores_gemma":[0.9881027,0.00520813,0.005127636,0.001221945,0.00001697161,0.00009472643,0.000001732273,0.000005502362,0.0002206033],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8883904,"threshold_uncertainty_score":0.4272801,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4313855337","doi":"10.1109/iotm.001.2200152","title":"Collaborative Inference for AI-Empowered IoT Devices","year":2022,"lang":"en","type":"article","venue":"IEEE Internet of Things Magazine","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":50,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Simon Fraser University","funders":"","keywords":"Inference; Computer science; Cloud computing; Edge device; Server; Enhanced Data Rates for GSM Evolution; Edge computing; Key (lock); Latency (audio); Data science; The Internet; Artificial intelligence; Machine learning; Distributed computing; Human–computer interaction; World Wide Web; Computer security; Telecommunications","retraction":null,"screen_n_in":null,"score":{"opus":0.01368884786333571,"gpt":0.2799494476478807,"spread":0.266260599784545,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005302771,0.0001782745,0.0002903631,0.0001717575,0.0001375568,0.0001353677,0.001586553,0.00003914114,0.00002381459],"category_scores_gemma":[0.0001297806,0.0001790469,0.00009905374,0.0005149806,0.00005156926,0.0003817832,0.0007265105,0.0002453092,0.00002694892],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007988128,"about_ca_system_score_gemma":0.0001420596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005460161,"about_ca_topic_score_gemma":0.000004323871,"domain_scores_codex":[0.998452,0.00007734339,0.0004066261,0.0004069626,0.0003440413,0.0003130097],"domain_scores_gemma":[0.9985769,0.0003085675,0.0003456363,0.0003610263,0.0003436279,0.00006420692],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005188216,0.0008982862,0.005604512,0.000517252,0.0004533004,0.00008645568,0.0654086,0.002325397,0.04206625,0.02907299,0.7595526,0.0934955],"study_design_scores_gemma":[0.001562615,0.001699302,0.001198488,0.0001602052,0.00003051772,0.00003600654,0.0001537202,0.510107,0.03805369,0.009417329,0.4368185,0.0007625896],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1989033,0.0002777296,0.7712381,0.003197904,0.01989697,0.0006551375,0.000007161451,0.0003199328,0.005503819],"genre_scores_gemma":[0.9637696,0.000001447297,0.03196637,0.001695646,0.0003578738,0.00005153713,0.000006539061,0.00001735024,0.002133709],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7648662,"threshold_uncertainty_score":0.730132,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4280593903","doi":"10.1109/iotm.003.2100091","title":"Leveraging Urban Computing with the Internet of Drones","year":2022,"lang":"en","type":"article","venue":"IEEE Internet of Things Magazine","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa","funders":"","keywords":"Drone; Leverage (statistics); The Internet; Computer science; Data science; Work (physics); Computer security; World Wide Web; Engineering; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.007153770721565061,"gpt":0.1924654528208375,"spread":0.1853116820992724,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001795855,0.0001038897,0.0001525162,0.00007641571,0.00003132238,0.00001665412,0.0003345576,0.00001721177,0.0001244981],"category_scores_gemma":[0.000004227727,0.00008198794,0.00004022552,0.000189114,0.00004745598,0.00008240385,0.00009490726,0.0001816005,0.000005640299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004394046,"about_ca_system_score_gemma":0.000006944302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009095783,"about_ca_topic_score_gemma":0.000004151632,"domain_scores_codex":[0.9993328,0.00001929882,0.0002411765,0.0001164102,0.0001738824,0.0001163741],"domain_scores_gemma":[0.9995954,0.00004847176,0.00009689944,0.000191667,0.00004954957,0.00001798014],"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":[0.00007763934,0.0001235607,0.003722117,0.0002351922,0.000271673,0.000005005252,0.02392598,0.871484,0.02417907,0.002203508,0.06678672,0.006985507],"study_design_scores_gemma":[0.0003105376,0.0001140113,0.0007697509,0.00006167341,0.00003137885,0.00002108222,0.000291809,0.9686363,0.01821047,0.00004879665,0.01135608,0.0001481166],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6941683,0.000144254,0.3004579,0.0001766501,0.0002017187,0.0001555811,0.00000319615,0.0001080396,0.004584429],"genre_scores_gemma":[0.9958179,0.000003437213,0.003076846,0.00006993178,0.0000302848,0.00001358047,0.00001073644,0.00002745379,0.0009498333],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3016497,"threshold_uncertainty_score":0.3343371,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4401806263","doi":"10.1109/iotm.001.2300274","title":"Enabling Trustworthy Federated Learning in Industrial IoT: Bridging the Gap Between Interpretability and Robustness","year":2024,"lang":"en","type":"article","venue":"IEEE Internet of Things Magazine","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Interpretability; Computer science; Robustness (evolution); Bridging (networking); Trustworthiness; Industrial Internet; Federated learning; Risk analysis (engineering); Computer security; Data science; Knowledge management; Distributed computing; Internet of Things; Artificial intelligence; Business","retraction":null,"screen_n_in":null,"score":{"opus":0.04159522377933147,"gpt":0.276934217757444,"spread":0.2353389939781126,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","open_science"],"consensus_categories":["open_science"],"category_scores_codex":[0.002263109,0.0002584012,0.000404828,0.0003521962,0.00007467323,0.0007129589,0.008543837,0.000219339,0.00001416559],"category_scores_gemma":[0.01021744,0.0002028874,0.00007677972,0.0008938378,0.0002492027,0.0009842794,0.0194166,0.001581638,0.00001022324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00013009,"about_ca_system_score_gemma":0.0000820776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000291787,"about_ca_topic_score_gemma":0.00002764361,"domain_scores_codex":[0.9976134,0.0002310126,0.0006512828,0.0007495617,0.0003409668,0.0004137815],"domain_scores_gemma":[0.997008,0.000868813,0.0001963528,0.001799273,0.00007305176,0.00005445689],"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":[0.0001024415,0.00009394348,0.04132821,0.000475386,0.0002856365,0.0002095788,0.00353352,0.001735659,0.006812363,0.0009049692,0.04054398,0.9039743],"study_design_scores_gemma":[0.0003344627,0.0001010729,0.0009143587,0.0009347104,0.00001853896,0.00003335719,0.00005316396,0.9796954,0.01035873,0.005702845,0.001594682,0.0002586294],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7008406,0.0005119304,0.2854642,0.01100847,0.0008850791,0.0002364528,0.000004629694,0.0007542457,0.0002944267],"genre_scores_gemma":[0.9913657,0.00002503164,0.008246392,0.00005918417,0.0001341833,0.00001223325,0.000005430163,0.0000227727,0.0001291002],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9779598,"threshold_uncertainty_score":0.99812,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4312885611","doi":"10.1109/iotm.001.2200065","title":"Towards a Novel Architectural Design for IoT-Based Smart Marine Aquaculture","year":2022,"lang":"en","type":"article","venue":"IEEE Internet of Things Magazine","topic":"Water Quality Monitoring Technologies","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa; Concordia University","funders":"","keywords":"Architecture; Internet of Things; Sustainability; Cloud computing; Computer science; Aquaculture; Control (management); Systems engineering; Engineering; Embedded system; Fish <Actinopterygii>; Artificial intelligence; Ecology","retraction":null,"screen_n_in":null,"score":{"opus":0.03723416278221022,"gpt":0.2597450564301745,"spread":0.2225108936479643,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006214407,0.0002154727,0.0002619127,0.00008455369,0.00008039608,0.00002878206,0.001012992,0.00006772243,0.0005617986],"category_scores_gemma":[0.0001663186,0.0001887198,0.0001742694,0.0002022944,0.0002091271,0.00008696731,0.0008331799,0.0003264755,0.00004263374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002819572,"about_ca_system_score_gemma":0.00001857584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001165173,"about_ca_topic_score_gemma":0.00002112991,"domain_scores_codex":[0.9984053,0.00005844087,0.0003457444,0.0003909548,0.0004651716,0.0003343386],"domain_scores_gemma":[0.9992363,0.0001104579,0.0002127944,0.0003727226,0.00001684814,0.00005086357],"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":[0.001492979,0.0009120373,0.01231357,0.0001953941,0.0001825826,0.00002393198,0.003972321,0.04626219,0.8294089,0.000452302,0.06149924,0.0432846],"study_design_scores_gemma":[0.002729465,0.002453226,0.01595278,0.00006345826,0.00008919062,0.00006472268,0.000156785,0.05685028,0.8600425,0.00988814,0.05082797,0.0008815259],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8424918,0.00001160716,0.1515103,0.003018124,0.0008211599,0.0007430291,0.00004726931,0.0004040523,0.0009526078],"genre_scores_gemma":[0.8312972,2.625108e-7,0.1650558,0.0003099052,0.00003028172,0.0001594443,0.00001563858,0.00002761939,0.003103793],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04240307,"threshold_uncertainty_score":0.7695771,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3119102954","doi":"10.1109/iotm.0001.2000024","title":"LTE-U WiFi HetNets: Enabling Spectrum Sharing for 5G/Beyond 5G Systems","year":2020,"lang":"en","type":"article","venue":"IEEE Internet of Things Magazine","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Lakehead University; Simon Fraser University","funders":"","keywords":"Heterogeneous network; Computer science; Computer network; Spectrum management; Femtocell; Software deployment; Cellular network; Spectral efficiency; Macrocell; Wireless; Wireless network; Telecommunications; Base station; Cognitive radio; Channel (broadcasting)","retraction":null,"screen_n_in":null,"score":{"opus":0.01665804059919183,"gpt":0.2271556597588425,"spread":0.2104976191596507,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002109243,0.0003071212,0.0005119538,0.0001796389,0.00002853669,0.0000995594,0.0004686405,0.0001301075,0.00002724947],"category_scores_gemma":[0.0001265995,0.0003297886,0.0001307606,0.0002826842,0.00002936775,0.0006369108,0.00003708923,0.0002308633,0.00008352722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000137749,"about_ca_system_score_gemma":0.00001060436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003510002,"about_ca_topic_score_gemma":0.000003894321,"domain_scores_codex":[0.9982493,0.00001376753,0.000737305,0.0004103219,0.0001983288,0.0003909863],"domain_scores_gemma":[0.999144,0.00007979037,0.0002313361,0.0003021091,0.0001025949,0.0001401887],"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":[0.00008326789,0.00002121459,0.0001622951,0.002233004,0.0001433895,0.0000116725,0.002339199,0.87602,0.1092275,0.001430642,0.007972131,0.0003556708],"study_design_scores_gemma":[0.0007337925,0.0001450705,0.000005050144,0.0004832165,0.00003697742,0.0000198765,0.00008370874,0.9040102,0.08481523,0.0002231231,0.009072039,0.0003717149],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01861742,0.001265075,0.9639645,0.0002414157,0.002703748,0.0009215872,0.00002516572,0.0008636722,0.01139745],"genre_scores_gemma":[0.992249,0.00004320973,0.004683597,0.0001295257,0.0005683667,0.00005837267,0.00003085214,0.0001441736,0.002092978],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9736315,"threshold_uncertainty_score":0.9999154,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3201813997","doi":"10.1109/iotm.0101.2000182","title":"A Multistage Blockchain-Based Secure and Trustworthy Smart Healthcare System Using ECG Characteristic","year":2021,"lang":"en","type":"article","venue":"IEEE Internet of Things Magazine","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"National Natural Science Foundation of China","keywords":"Computer science; Encryption; Computer security; Blockchain; Secure transmission; Computer network","retraction":null,"screen_n_in":null,"score":{"opus":0.01331444893138013,"gpt":0.2409222151815346,"spread":0.2276077662501545,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003295405,0.0002174154,0.000407722,0.000162349,0.00008983874,0.00007546419,0.0006126905,0.0002007371,0.000008964044],"category_scores_gemma":[0.00004801448,0.0002238622,0.00008647617,0.0003896536,0.0001270886,0.00006772014,0.0002483496,0.0003489845,0.00001049706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000869619,"about_ca_system_score_gemma":0.0001092423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002109145,"about_ca_topic_score_gemma":0.00004985434,"domain_scores_codex":[0.9983396,0.00009239227,0.0004743808,0.0005771983,0.0002165845,0.0002998477],"domain_scores_gemma":[0.9984305,0.00009347538,0.000331585,0.0007498776,0.0002811483,0.0001133951],"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":[0.000343893,0.002443081,0.03711477,0.01207656,0.0008821704,0.003475025,0.02036789,0.0008733704,0.2499619,0.502367,0.002974338,0.16712],"study_design_scores_gemma":[0.0005359082,0.00009057381,0.0008453163,0.0003808961,0.00002410596,0.0002727486,0.00006659723,0.9754772,0.02014508,0.0004733758,0.001429928,0.0002582583],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7048574,0.0004756881,0.2920041,0.00172632,0.0003410174,0.0002075456,0.00001807094,0.0002799293,0.00008989115],"genre_scores_gemma":[0.9549109,0.000005212873,0.04434478,0.0005065833,0.00003229199,0.00002075913,0.000006298992,0.00001720111,0.0001559523],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9746038,"threshold_uncertainty_score":0.9128836,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4409985446","doi":"10.1109/iotm.001.2400125","title":"Generative AI for Energy Harvesting Internet of Things Network: Fundamental, Applications, and Opportunities","year":2025,"lang":"en","type":"article","venue":"IEEE Internet of Things Magazine","topic":"Energy Harvesting in Wireless Networks","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Generative grammar; Internet of Things; Energy harvesting; Computer science; The Internet; Artificial intelligence; Energy (signal processing); World Wide Web; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.02022197594845296,"gpt":0.245355092050098,"spread":0.225133116101645,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003654048,0.000315647,0.0005134109,0.0001921579,0.00004433504,0.00008647608,0.0004077975,0.0001640005,0.00001821106],"category_scores_gemma":[0.00004876894,0.0003376933,0.0001055851,0.0001736322,0.0002264191,0.0004679742,0.0001618714,0.0002419496,0.000001142715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007568858,"about_ca_system_score_gemma":0.00003485636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002206599,"about_ca_topic_score_gemma":0.00003911449,"domain_scores_codex":[0.9983492,0.00004290808,0.0007758896,0.0003226878,0.0001603383,0.0003489068],"domain_scores_gemma":[0.9987803,0.0003814274,0.0002835956,0.0002841678,0.000191929,0.00007857839],"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":[0.0002678546,0.0002463174,0.002372863,0.003917541,0.001899577,0.00001504258,0.003912438,0.1813488,0.03876137,0.2777463,0.2600543,0.2294576],"study_design_scores_gemma":[0.0007517971,0.0001635827,0.0001031252,0.001689466,0.000125523,0.00001480736,0.00008510985,0.8317179,0.05285859,0.004718848,0.1073083,0.0004629009],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02495887,0.002833298,0.9579898,0.0003040718,0.0009142312,0.0003484322,0.00001750353,0.0003362814,0.01229752],"genre_scores_gemma":[0.9477921,0.0003946571,0.03299529,0.001352059,0.0002460497,0.0002508437,0.00009238952,0.0000862359,0.01679035],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9249945,"threshold_uncertainty_score":0.9999075,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4386885136","doi":"10.1109/iotm.001.2200260","title":"Security in the Industrial Internet of Drones","year":2023,"lang":"en","type":"article","venue":"IEEE Internet of Things Magazine","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa","funders":"","keywords":"Drone; Industrial Internet; Computer security; The Internet; Context (archaeology); Process (computing); Computer science; Industry 4.0; Key (lock); Internet of Things; Risk analysis (engineering); Business; World Wide Web","retraction":null,"screen_n_in":null,"score":{"opus":0.01860018549034128,"gpt":0.2329547287022808,"spread":0.2143545432119395,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000298925,0.0000892712,0.0001533829,0.0001492342,0.000004630856,0.0000142918,0.0003194824,0.00007965192,0.00006043986],"category_scores_gemma":[0.00003469231,0.00007283335,0.00004466074,0.0004127528,0.00003931377,0.0001143659,0.00003524749,0.0001742345,0.00005827555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002001698,"about_ca_system_score_gemma":0.000005869314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001662969,"about_ca_topic_score_gemma":0.00003778904,"domain_scores_codex":[0.9993076,0.00002088165,0.0003233992,0.00009641456,0.0001367123,0.0001150376],"domain_scores_gemma":[0.9996437,0.00007086754,0.00005391525,0.000182389,0.0000339059,0.00001517066],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002735585,0.0006524902,0.01888694,0.000984503,0.000392161,0.00003527705,0.06860884,0.1444649,0.05724874,0.01833342,0.6604557,0.02966341],"study_design_scores_gemma":[0.00112133,0.0001442386,0.004052919,0.0002690811,0.00003519587,0.000008844086,0.0003028942,0.9189883,0.05487679,0.002385837,0.01753312,0.0002813917],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9878035,0.00003860587,0.005187771,0.0001860292,0.0003711495,0.0001993475,0.00000725511,0.0001132163,0.006093134],"genre_scores_gemma":[0.9993083,0.00003125955,0.0001773592,0.00002576858,0.00005493213,0.00002009211,0.00002159955,0.0000148809,0.0003457866],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7745234,"threshold_uncertainty_score":0.2970058,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4389921965","doi":"10.1109/iotm.001.2200268","title":"Intelligent and Decentralized Resource Allocation in Vehicular Edge Computing Networks","year":2023,"lang":"en","type":"article","venue":"IEEE Internet of Things Magazine","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Queen's University; Memorial University of Newfoundland","funders":"","keywords":"Computer science; Enhanced Data Rates for GSM Evolution; Resource allocation; Distributed computing; Edge computing; Resource (disambiguation); Computer network; Computer security; Telecommunications","retraction":null,"screen_n_in":null,"score":{"opus":0.01740674476235128,"gpt":0.2514465210024256,"spread":0.2340397762400743,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009990985,0.0001734035,0.000277608,0.0002797102,0.00004109912,0.0001220565,0.0006962675,0.00009032754,0.000001629716],"category_scores_gemma":[0.00009445265,0.0001740045,0.00006390308,0.0007023637,0.00005707442,0.0002681811,0.0005077947,0.0002597475,0.00004920762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005481084,"about_ca_system_score_gemma":0.00001874908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007629982,"about_ca_topic_score_gemma":0.00000339509,"domain_scores_codex":[0.9983453,0.00009451451,0.0005116172,0.0004060341,0.0002326056,0.0004099724],"domain_scores_gemma":[0.9991267,0.0002094491,0.0002031406,0.0003031665,0.00007561891,0.00008192538],"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":[0.0001722568,0.0003674004,0.02210997,0.000516699,0.0002051551,0.0003599658,0.0454563,0.07344788,0.01209706,0.006688399,0.1409216,0.6976573],"study_design_scores_gemma":[0.0003551263,0.00005528312,0.004178212,0.0002970791,0.000005073728,0.00001735265,0.0000198976,0.9803416,0.003053332,0.0004190585,0.01108129,0.0001767352],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5141053,0.0002789977,0.4808493,0.0007570305,0.002995545,0.0001682766,4.607926e-8,0.0002399066,0.0006056657],"genre_scores_gemma":[0.9928972,0.00004870823,0.005979822,0.0003473396,0.0003161209,0.000002442827,0.000006861456,0.00001811097,0.0003834056],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9068937,"threshold_uncertainty_score":0.7095699,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3184844027","doi":"10.1109/iotm.0001.2100028","title":"An IoT-Based Secure Vaccine Distribution System through a Blockchain Network","year":2021,"lang":"en","type":"article","venue":"IEEE Internet of Things Magazine","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":11,"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":"Fonds de recherche du Québec – Nature et technologies; Tomsk Polytechnic University","keywords":"Blockchain; Computer science; Internet of Things; Computer network; Computer security","retraction":null,"screen_n_in":null,"score":{"opus":0.007998392216479638,"gpt":0.2341991543047976,"spread":0.226200762088318,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004722054,0.0002189672,0.0003668944,0.00004837634,0.00008836338,0.00008157454,0.001358829,0.0002419635,0.00002004574],"category_scores_gemma":[0.00003697575,0.0002151254,0.0001205908,0.0007489221,0.00006006833,0.0001427579,0.0002097451,0.0003516227,0.00003678531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009408442,"about_ca_system_score_gemma":0.00008023105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006444885,"about_ca_topic_score_gemma":0.00003526688,"domain_scores_codex":[0.9981716,0.000111935,0.0004940032,0.0005934579,0.0002779379,0.0003510371],"domain_scores_gemma":[0.9979814,0.00007803493,0.0003151193,0.00120706,0.0003396125,0.00007882447],"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":[0.0000758263,0.0009889705,0.0009915256,0.0004039645,0.0001727052,0.0002151959,0.001573077,0.005988946,0.01405521,0.9147763,0.04991729,0.01084098],"study_design_scores_gemma":[0.0008221632,0.0002590374,0.000341331,0.0002816963,0.00003641866,0.0001426385,0.00004823628,0.8926135,0.07824222,0.009811343,0.01704303,0.000358361],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.122166,0.0003407796,0.8734841,0.002343879,0.0004669551,0.0001809105,0.00001698654,0.0005745052,0.0004259189],"genre_scores_gemma":[0.9495559,0.00000393414,0.04955556,0.0005221916,0.0001160708,0.00003626757,0.00005031831,0.00001468017,0.0001450588],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.904965,"threshold_uncertainty_score":0.8772558,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4280541453","doi":"10.1109/iotm.002.2200022","title":"Touchless Control of Heavy Equipment Using Low-Cost Hand Gesture Recognition","year":2022,"lang":"en","type":"article","venue":"IEEE Internet of Things Magazine","topic":"Hand Gesture Recognition Systems","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Queen's University","funders":"","keywords":"Loader; Gesture; Gesture recognition; Laptop; Computer science; Process (computing); Artificial intelligence; Operating system","retraction":null,"screen_n_in":null,"score":{"opus":0.02785372782514195,"gpt":0.2544352912104833,"spread":0.2265815633853414,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008099292,0.0002003889,0.0004598537,0.0002507415,0.00008701574,0.00008731642,0.0008285499,0.0000705731,0.0001339808],"category_scores_gemma":[0.00005405068,0.0001956788,0.0001580379,0.0003467744,0.00007624978,0.0004527013,0.0002779738,0.0003034378,0.00003662239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001310666,"about_ca_system_score_gemma":0.00007896919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001405988,"about_ca_topic_score_gemma":0.000008133916,"domain_scores_codex":[0.9977605,0.0002324842,0.0006916528,0.0003968872,0.0006444491,0.0002740458],"domain_scores_gemma":[0.9984125,0.0001430938,0.0006522833,0.0003925915,0.0003106068,0.00008887784],"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":[0.001062189,0.00196264,0.001990132,0.001291693,0.0007098383,0.0002528507,0.02352739,0.00409038,0.750958,0.001093476,0.01492251,0.1981389],"study_design_scores_gemma":[0.00875604,0.001418637,0.0009511249,0.001968803,0.0001897183,0.0009294428,0.0004640672,0.2255578,0.7311931,0.003046815,0.02415344,0.001371094],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3578026,0.0002123147,0.6371886,0.000475131,0.002297834,0.0006510406,0.00006690009,0.00007878439,0.001226817],"genre_scores_gemma":[0.9953651,0.000004506212,0.003523035,0.0005112588,0.00009800836,0.00005136502,0.0000149166,0.00001828384,0.0004135019],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6375625,"threshold_uncertainty_score":0.7979551,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4396597331","doi":"10.1109/iotm.001.2200276","title":"Dynamic Artificial Neural Network-Assisted GPS-Less Navigation for IoT-Enabled Drones","year":2024,"lang":"en","type":"article","venue":"IEEE Internet of Things Magazine","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Drone; Global Positioning System; Internet of Things; Artificial neural network; Computer science; Real-time computing; Artificial intelligence; Embedded system; Telecommunications; Biology","retraction":null,"screen_n_in":null,"score":{"opus":0.01233146787439783,"gpt":0.2425451064037961,"spread":0.2302136385293982,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000150955,0.0001541703,0.0001854872,0.00009192235,0.00002928472,0.0001020684,0.0001591117,0.00009580341,0.00003164514],"category_scores_gemma":[0.000009328328,0.00015464,0.00009413898,0.0002567246,0.00002996985,0.0001928842,0.00001785932,0.0001337614,0.00003663636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007659933,"about_ca_system_score_gemma":0.00001313215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002160047,"about_ca_topic_score_gemma":0.0000312037,"domain_scores_codex":[0.9990913,0.00001002349,0.0003804748,0.0002015368,0.0001121773,0.0002044709],"domain_scores_gemma":[0.9995925,0.00006772597,0.00005873547,0.0001608382,0.00008304723,0.00003717741],"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":[0.00006817395,0.00005632665,0.00003478421,0.0008537899,0.0001603233,0.000005642217,0.0006453211,0.8260843,0.07551525,0.00556937,0.01626319,0.07474359],"study_design_scores_gemma":[0.0001267138,0.00004200191,0.0001520113,0.0001887225,0.00004979873,0.000008866281,0.00001051947,0.9906317,0.004150576,0.002222307,0.002264161,0.0001526001],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3768395,0.0004722351,0.6182448,0.0002929549,0.00198506,0.0004840029,0.0000229117,0.0006257898,0.00103272],"genre_scores_gemma":[0.9857213,0.00001468103,0.01262365,0.00002791842,0.0001806471,0.0000912974,0.0001609064,0.00005846146,0.001121136],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6088818,"threshold_uncertainty_score":0.6306036,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4408016667","doi":"10.1109/iotm.001.2400204","title":"Artificial Intelligence, Ambient Backscatter Communication and Non-Terrestrial Networks: A 6G Commixture","year":2025,"lang":"en","type":"article","venue":"IEEE Internet of Things Magazine","topic":"Energy Harvesting in Wireless Networks","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Carleton University","funders":"","keywords":"Backscatter (email); Environmental science; Remote sensing; Computer science; Telecommunications; Geography; Wireless","retraction":null,"screen_n_in":null,"score":{"opus":0.0101202958771934,"gpt":0.2323045001169622,"spread":0.2221842042397688,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030783,0.0002382501,0.0003365715,0.0001613562,0.0000393323,0.00009379361,0.0005098439,0.0002015993,0.00003078518],"category_scores_gemma":[0.00003834379,0.0002443258,0.0000754369,0.00027181,0.0001759963,0.0002005374,0.0001643024,0.0005428426,0.00001628884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005555793,"about_ca_system_score_gemma":0.00001086644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009818446,"about_ca_topic_score_gemma":0.00009250386,"domain_scores_codex":[0.9987164,0.00005697653,0.0006062401,0.0002223054,0.0001368496,0.0002612877],"domain_scores_gemma":[0.9990421,0.0002436963,0.0001228155,0.0004764756,0.00005487813,0.00006005857],"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":[0.0002600357,0.0001893026,0.00201032,0.0003703158,0.000442395,0.00001593413,0.001737451,0.7835683,0.00655759,0.003845296,0.1055832,0.09541988],"study_design_scores_gemma":[0.0001607871,0.00005234177,0.0006071937,0.0009485849,0.00005037785,0.000006304689,0.00002255628,0.9829227,0.009801844,0.001589276,0.003590619,0.0002474634],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4015847,0.001238093,0.5807804,0.0005707653,0.003423534,0.0003558983,0.000003852764,0.0003842327,0.01165849],"genre_scores_gemma":[0.9955507,0.0001958516,0.003123548,0.0002534941,0.000188943,0.00002168953,0.00002394976,0.00003531799,0.0006065167],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.593966,"threshold_uncertainty_score":0.9963319,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3082186992","doi":"10.1109/iotm.0001.1900056","title":"A Garden of Cyber Physical Systems: Requirements, Challenges, and Implementation Aspects","year":2020,"lang":"en","type":"article","venue":"IEEE Internet of Things Magazine","topic":"Wireless Body Area Networks","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa","funders":"","keywords":"Cyber-physical system; Popularity; Computer science; Perspective (graphical); Computer security; Focus (optics); Systems engineering; Set (abstract data type); Risk analysis (engineering); Engineering; Business","retraction":null,"screen_n_in":null,"score":{"opus":0.02392406589379731,"gpt":0.2519024542869461,"spread":0.2279783883931488,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009830284,0.000154414,0.0003288311,0.00004703335,0.000005858088,0.00001406866,0.000160946,0.000049563,0.00002271743],"category_scores_gemma":[0.00001286536,0.0001568657,0.00004942024,0.00005998527,0.00003950887,0.0001949751,0.00005937033,0.0001256021,0.00001709131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003405642,"about_ca_system_score_gemma":0.000006144889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002944781,"about_ca_topic_score_gemma":0.000009570099,"domain_scores_codex":[0.9990687,0.00002365723,0.0003421901,0.0001812845,0.0002177975,0.0001663909],"domain_scores_gemma":[0.9995719,0.00003927522,0.000125115,0.0001348316,0.00005464412,0.00007429696],"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":[0.000396111,0.0003636779,0.0009069457,0.012027,0.002481956,0.0001254576,0.1205627,0.01867373,0.6254973,0.02118103,0.1126044,0.08517966],"study_design_scores_gemma":[0.0043686,0.00145309,0.005604129,0.001916162,0.0003525084,0.00004452053,0.002605491,0.7722173,0.1956144,0.0007525898,0.01389154,0.001179734],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9720381,0.004190127,0.002453331,0.0003549193,0.0005690243,0.0004446458,0.00001550513,0.0002482581,0.01968604],"genre_scores_gemma":[0.9991859,0.000279175,0.0001838429,0.00003088999,0.0002189366,0.00001128253,0.000008432437,0.00003600018,0.00004560543],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7535436,"threshold_uncertainty_score":0.6396796,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4379740689","doi":"10.1109/iotm.001.2200256","title":"RIS-IoE for Data-Driven Networks: New Mentalities, Trends and Preliminary Solutions","year":2023,"lang":"en","type":"article","venue":"IEEE Internet of Things Magazine","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Computer science; Wireless; Implementation; Physical layer; Constructive; Wireless network; Internet of Things; Computer architecture; Process (computing); Telecommunications; Embedded system","retraction":null,"screen_n_in":null,"score":{"opus":0.052943918396016,"gpt":0.2849319600617099,"spread":0.2319880416656939,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001288356,0.0001464019,0.000210967,0.0002115624,0.00003666254,0.00002345173,0.0007970123,0.00008969483,0.000021909],"category_scores_gemma":[0.00005932732,0.000155714,0.00003832724,0.0002578447,0.0001035723,0.0004175381,0.0005256897,0.000165081,0.00001428166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004264534,"about_ca_system_score_gemma":0.000007491315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003984355,"about_ca_topic_score_gemma":0.00002260103,"domain_scores_codex":[0.9991661,0.00001009791,0.000293832,0.0001942169,0.00009144957,0.0002443478],"domain_scores_gemma":[0.9989387,0.0001707835,0.00008333071,0.0007380592,0.00002542332,0.00004370974],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005254104,0.00003252236,0.0001103579,0.0001690389,0.0001995821,0.000003043985,0.0009252503,0.1240503,0.003194843,0.00223943,0.6024948,0.2665283],"study_design_scores_gemma":[0.0003648392,0.0001021888,0.0003039975,0.0001109707,0.00002464625,0.000006158942,0.00012843,0.9651603,0.001660734,0.00127748,0.03069233,0.0001679043],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02176133,0.004776283,0.9627391,0.002245018,0.001054963,0.0004565884,0.0002180113,0.004265768,0.002482952],"genre_scores_gemma":[0.9673978,0.001408231,0.02537178,0.00003936891,0.00006129462,0.00005146324,0.0004296152,0.00005580579,0.005184624],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9456365,"threshold_uncertainty_score":0.6349832,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4403826538","doi":"10.1109/iotm.001.2300199","title":"Blockchain-as-a-Service: Architecture, Opportunities and Challenges","year":2024,"lang":"en","type":"article","venue":"IEEE Internet of Things Magazine","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia; École de Technologie Supérieure; Brandon University","funders":"","keywords":"Blockchain; Architecture; Service (business); Business; Computer science; Computer security; Geography; Archaeology; Marketing","retraction":null,"screen_n_in":null,"score":{"opus":0.03354758453578359,"gpt":0.2514444753604504,"spread":0.2178968908246668,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003106573,0.0001686659,0.0002086935,0.0002686525,0.00003269033,0.00008431759,0.0008778146,0.000137036,0.00002126685],"category_scores_gemma":[0.000018559,0.0001489155,0.00005256152,0.0002085425,0.0001495426,0.000122264,0.0003545415,0.0002965149,0.00005436082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001375022,"about_ca_system_score_gemma":0.00003797492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007373522,"about_ca_topic_score_gemma":0.00002308544,"domain_scores_codex":[0.998931,0.00002568054,0.0002551478,0.000416726,0.0001731536,0.0001982869],"domain_scores_gemma":[0.999163,0.0001207489,0.00007341704,0.0004895524,0.00008318004,0.00007010375],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000005123188,0.00004649283,0.000003212187,0.0003336672,0.00005986191,0.00004739401,0.005627227,0.000004625379,0.001518025,0.7737586,0.001474025,0.2171218],"study_design_scores_gemma":[0.0003796064,0.0004570762,0.0001582862,0.00061304,0.00004504399,0.0008592501,0.0003196987,0.15866,0.02456382,0.3928246,0.4204973,0.0006222525],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4028355,0.05860798,0.2312975,0.2621242,0.001708761,0.0007098536,0.00001561312,0.003059989,0.03964065],"genre_scores_gemma":[0.9873311,0.001818292,0.008421292,0.001013572,0.00005178537,0.00003292386,0.00000132958,0.00001655578,0.001313129],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5844956,"threshold_uncertainty_score":0.6072598,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2972841135","doi":"10.1109/iotm.2019.1900008","title":"Cognitive Dynamic System for Future RACE Vehicles in Smart Cities: A Risk Control Perspective","year":2019,"lang":"en","type":"article","venue":"IEEE Internet of Things Magazine","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"","keywords":"Computer security; Control (management); Perspective (graphical); Risk analysis (engineering); Race (biology); The Internet; Class (philosophy); Supervisor; Cognition; Computer science; Function (biology); Cognitive radio; Business; Telecommunications; Political science; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.00336493791497396,"gpt":0.2072861023445466,"spread":0.2039211644295727,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004392116,0.0003218916,0.0006391951,0.0002095517,0.00001741811,0.00004164409,0.0003009896,0.0002045105,0.00003262663],"category_scores_gemma":[0.00007060834,0.000323269,0.0002072287,0.0001727753,0.00005593009,0.0002808977,0.00003180792,0.0004945634,0.0001437032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004843798,"about_ca_system_score_gemma":0.00002511923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001649394,"about_ca_topic_score_gemma":0.0001864382,"domain_scores_codex":[0.9984149,0.00007564888,0.0004723947,0.0003645707,0.0002283962,0.0004440521],"domain_scores_gemma":[0.9988803,0.0003594237,0.000199045,0.000247871,0.0002377338,0.0000756309],"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":[0.003978698,0.0003761796,0.02067382,0.005576282,0.003786242,0.0002000641,0.04991682,0.8628302,0.03044658,0.003695238,0.01072451,0.007795385],"study_design_scores_gemma":[0.003813169,0.0002430296,0.002601926,0.001128933,0.000117686,0.00003149054,0.004687166,0.9843498,0.001798562,0.0001801905,0.0006701594,0.0003778141],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.965485,0.001481506,0.02655945,0.00008960782,0.001682796,0.00130452,0.0001364974,0.0003000652,0.002960578],"genre_scores_gemma":[0.9981536,0.00005050941,0.0004654797,0.00006170332,0.0001733212,0.00009319397,0.00001789401,0.00009288773,0.0008913671],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1215197,"threshold_uncertainty_score":0.9999219,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4389919956","doi":"10.1109/iotm.001.2300082","title":"Enabling Massive IoT Services in the Future Horizontal 6G Network: From Use Cases to a Flexible System Architecture","year":2023,"lang":"en","type":"article","venue":"IEEE Internet of Things Magazine","topic":"Telecommunications and Broadcasting Technologies","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Architecture; Internet of Things; Computer science; Network architecture; Computer architecture; Telecommunications; Embedded system; Computer network; Geography","retraction":null,"screen_n_in":null,"score":{"opus":0.01725043580961914,"gpt":0.2311729589571771,"spread":0.213922523147558,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002131054,0.0001951403,0.0002582655,0.0002405838,0.00004239606,0.000111937,0.0009885131,0.0001277824,0.000008893498],"category_scores_gemma":[0.00004845937,0.000146604,0.00006863778,0.0007523235,0.00002784847,0.0001212182,0.000222943,0.0004354526,0.00005882869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006375091,"about_ca_system_score_gemma":0.00000688072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008710434,"about_ca_topic_score_gemma":0.0008706329,"domain_scores_codex":[0.9989613,0.00004233974,0.0003254791,0.00019378,0.0001641815,0.0003129073],"domain_scores_gemma":[0.9988645,0.0004068671,0.00008361589,0.0005753502,0.00003955382,0.00003016716],"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":[0.0003080837,0.0001616642,0.01097979,0.001898424,0.0006169192,0.0009103614,0.03946884,0.6449901,0.05039752,0.002223185,0.08796611,0.160079],"study_design_scores_gemma":[0.00233123,0.00118348,0.04680425,0.009454911,0.0002659796,0.000539051,0.0406728,0.5442617,0.0480047,0.002516318,0.3012746,0.002690954],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950051,0.0006122041,0.001230734,0.0007057789,0.0005938438,0.000242024,0.00003731637,0.001308395,0.000264635],"genre_scores_gemma":[0.9908547,0.00005150645,0.008565878,0.00008446769,0.0002416195,0.00004424774,0.000030466,0.00003456351,0.00009259835],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2133085,"threshold_uncertainty_score":0.5978337,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4324134902","doi":"10.1109/iotm.001.2200156","title":"A Layered and Grid-Based Methodology to Characterize and Simulate IoT Traffic on Advanced Cellular Networks","year":2023,"lang":"en","type":"article","venue":"IEEE Internet of Things Magazine","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Ericsson (Canada); Polytechnique Montréal","funders":"","keywords":"Computer science; Scalability; Granularity; Distributed computing; Grid; Throughput; RSS; Network simulation; Scale (ratio); Software; Wireless; Telecommunications","retraction":null,"screen_n_in":null,"score":{"opus":0.02676919429038778,"gpt":0.2547749187592419,"spread":0.2280057244688541,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003101594,0.0002240449,0.0004023403,0.0002403545,0.0000177028,0.00002121773,0.0001240558,0.000119399,0.00001096104],"category_scores_gemma":[0.0001108731,0.0002303979,0.00004006816,0.0002551644,0.00003450188,0.0001029226,0.00003767056,0.0001735306,0.0000257229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003480475,"about_ca_system_score_gemma":0.000004249021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005782163,"about_ca_topic_score_gemma":0.000004835965,"domain_scores_codex":[0.9989173,0.00006352885,0.0003609268,0.0002941475,0.00009355595,0.0002705119],"domain_scores_gemma":[0.999239,0.0003103282,0.00009723345,0.000204049,0.00004667589,0.0001027471],"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":[0.0001196029,0.000008231723,0.00001391417,0.0001224007,0.00002384518,0.00001393393,0.0004389983,0.8634465,0.1288061,0.000009854074,0.0003223843,0.006674212],"study_design_scores_gemma":[0.0007408796,0.000215421,0.0002293566,0.0002206625,0.00001440069,0.000004474473,0.00001420149,0.9741626,0.0230898,0.00001730239,0.001077275,0.0002136215],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6613779,0.00008759929,0.3369941,0.00009216183,0.0007326507,0.0002866652,0.000008645691,0.0003579663,0.00006237267],"genre_scores_gemma":[0.983388,0.00003490023,0.01584766,0.0001691667,0.00009501956,0.00002545226,0.00002684915,0.00006987171,0.0003430771],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3220101,"threshold_uncertainty_score":0.9395353,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4312841610","doi":"10.1109/iotm.001.2100130","title":"Evolution and Trends in Artificial Intelligence of Things Security: When Good Enough is Not Good Enough!","year":2022,"lang":"en","type":"article","venue":"IEEE Internet of Things Magazine","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa; Royal Military College of Canada","funders":"","keywords":"Computer security; Computer science; Scope (computer science); Countermeasure; Internet of Things; Government (linguistics); Cloud computing security; Big data; Cloud computing; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.01826832764298944,"gpt":0.2410349826353406,"spread":0.2227666549923512,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001020706,0.0002358577,0.0004203244,0.0006201409,0.00009928878,0.0000901926,0.001097822,0.0001150809,0.0003493624],"category_scores_gemma":[0.00004840856,0.0002577162,0.0001339531,0.0009033923,0.0001333676,0.0012722,0.0008706889,0.0006418066,0.00001495854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001577452,"about_ca_system_score_gemma":0.00003778139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001332056,"about_ca_topic_score_gemma":0.00009978438,"domain_scores_codex":[0.9973655,0.0001856679,0.0008414797,0.0006017518,0.0006644669,0.0003411635],"domain_scores_gemma":[0.9986941,0.000118121,0.0005265221,0.000468005,0.000116651,0.00007657078],"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":[0.001025129,0.001568771,0.0003562852,0.0002797609,0.0001473326,0.00006731945,0.1761131,0.0009842291,0.04529315,0.2659231,0.00880334,0.4994384],"study_design_scores_gemma":[0.0005569258,0.002171889,0.0005986636,0.0002363591,0.000041584,0.0001504722,0.0004931123,0.6723665,0.1634012,0.1409287,0.01838027,0.000674275],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7929929,0.0009096211,0.1863559,0.007242745,0.00378207,0.0004954165,0.00003475417,0.0002784951,0.007908155],"genre_scores_gemma":[0.9949749,0.00003417083,0.003559543,0.000591274,0.00008766895,0.00001720469,0.000005067434,0.00001605505,0.0007141865],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6713823,"threshold_uncertainty_score":0.9999875,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4399951357","doi":"10.1109/iotm.001.2300285","title":"Efficient Transformer-Based Hyper-Parameter Optimization for Resource-Constrained IoT Environments","year":2024,"lang":"en","type":"article","venue":"IEEE Internet of Things Magazine","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University","funders":"","keywords":"Computer science; Transformer; Internet of Things; Mathematical optimization; Distributed computing; Electrical engineering; Embedded system; Engineering; Mathematics; Voltage","retraction":null,"screen_n_in":null,"score":{"opus":0.01411798135094935,"gpt":0.2394669604499392,"spread":0.2253489790989899,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001880539,0.0001514279,0.0001645771,0.0001104426,0.00003466956,0.0001145206,0.0005129788,0.00006081719,0.00004026285],"category_scores_gemma":[0.00001364714,0.0001311442,0.0001514241,0.0001998712,0.00007574615,0.00008773857,0.00002596391,0.0001146482,0.00003125312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003601545,"about_ca_system_score_gemma":0.00002138069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004623269,"about_ca_topic_score_gemma":3.926422e-7,"domain_scores_codex":[0.998854,0.00001853463,0.0003273791,0.0003852946,0.0001984703,0.0002163504],"domain_scores_gemma":[0.999339,0.0002150346,0.00007790269,0.0002835543,0.0000202119,0.00006422358],"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":[0.00005556481,0.0002547533,0.000007453512,0.0001585024,0.0000619623,0.000005960747,0.0006956461,0.8439056,0.04589549,0.005960191,0.007635192,0.09536366],"study_design_scores_gemma":[0.0002797852,0.000143419,0.000006541632,0.0001029095,0.00001882965,0.000006188258,0.000002264744,0.9479561,0.02572122,0.0002361512,0.02539688,0.0001297101],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02771704,0.00008468329,0.9689637,0.00172497,0.0003005081,0.0004020534,0.00001067307,0.0001207553,0.000675552],"genre_scores_gemma":[0.8697283,0.000002822013,0.1285009,0.0005122785,0.00005790352,0.00007268476,0.00001422102,0.00002028303,0.001090638],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8420113,"threshold_uncertainty_score":0.5347906,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4212871838","doi":"10.1109/miot.2021.9712460","title":"Guest Editorial: Internet of Drones: Novel Applications, Recent Deployments, and Integration","year":2021,"lang":"en","type":"editorial","venue":"IEEE Internet of Things Magazine","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Carleton University","funders":"","keywords":"Drone; Internet of Things; Variety (cybernetics); The Internet; Computer science; Computer security; World Wide Web; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.007258202532761272,"gpt":0.2301386495882708,"spread":0.2228804470555095,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002969833,0.0003980933,0.000625931,0.0002393371,0.00001694139,0.00008223671,0.0004469223,0.0005966873,0.0000469759],"category_scores_gemma":[0.0001832233,0.0004207149,0.00009144756,0.0002858111,0.00009408525,0.0002634373,0.0001168364,0.0006143121,0.00001863617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001812619,"about_ca_system_score_gemma":0.00007393847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002324744,"about_ca_topic_score_gemma":0.0000608252,"domain_scores_codex":[0.9977412,0.00002483591,0.0009951346,0.000451364,0.0005838396,0.000203663],"domain_scores_gemma":[0.997961,0.0002137206,0.0003891808,0.0004959569,0.0008580185,0.00008212498],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003382096,0.0001576963,0.0000055419,0.0004934307,0.0001527757,3.7699e-7,0.0002613435,0.0002433892,0.01135752,0.0001099498,0.9846167,0.00256744],"study_design_scores_gemma":[0.0005676149,0.0001183287,0.000003763085,0.0005903618,0.000138866,0.000001840077,0.00002146405,0.008937309,0.01949899,0.00005115791,0.9697441,0.0003262206],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0001601556,0.001000934,0.218861,0.00002804427,0.7782179,0.0005513915,0.0001366907,0.0001673632,0.0008765962],"genre_scores_gemma":[0.002985036,0.005328198,0.01161525,0.00001642262,0.9748926,0.0003959669,0.002867325,0.0001994749,0.001699756],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.2072457,"threshold_uncertainty_score":0.9998245,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3100903226","doi":"10.1109/iotm.0001.1900077","title":"Modern Development Technologies and Health Informatics: Area Transformation and Future Trends","year":2020,"lang":"en","type":"article","venue":"IEEE Internet of Things Magazine","topic":"Biomedical and Engineering Education","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa","funders":"","keywords":"Informatics; Health informatics; Transformation (genetics); Development (topology); Data science; Computer science; Political science; Health care; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.01468408985571269,"gpt":0.2143966443490477,"spread":0.199712554493335,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007232233,0.00009532737,0.0001363044,0.00008977074,0.00001053366,0.00001635052,0.00006880765,0.00006570295,0.000006509033],"category_scores_gemma":[0.000003693909,0.00008212863,0.00001158525,0.00009733847,0.00002530511,0.0002048382,0.00001368876,0.0001232234,0.00000290202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002317445,"about_ca_system_score_gemma":0.000007833582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003250083,"about_ca_topic_score_gemma":0.000001688694,"domain_scores_codex":[0.9994758,0.000001626333,0.0002804898,0.00005455425,0.00008492514,0.000102541],"domain_scores_gemma":[0.9998421,0.00000473127,0.00003925598,0.00004404499,0.00001179242,0.00005805027],"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":[0.000004765848,0.000007152985,0.00002785291,0.001310128,0.00002661585,1.98489e-7,0.03198002,0.0001593605,0.0008063698,0.0000754163,0.004048091,0.9615541],"study_design_scores_gemma":[0.000613388,0.000191735,0.002684867,0.0003032752,0.00001399683,0.00002368597,0.001658903,0.8456263,0.01283555,0.0002057989,0.1354991,0.0003434278],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6096123,0.003852485,0.354782,0.02570472,0.0008652303,0.00023377,0.00001051912,0.001777159,0.003161813],"genre_scores_gemma":[0.9911137,0.000444369,0.008179251,0.0001714276,0.00003371312,0.00000579171,0.00001479924,0.000009301266,0.00002770235],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9612106,"threshold_uncertainty_score":0.3349108,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4212931582","doi":"10.1109/iotm.001.2100088","title":"Unmanned Aerial Multi-Object Dynamic Frame Detection and Skipping Using Deep Learning on the Internet of Drones","year":2021,"lang":"en","type":"article","venue":"IEEE Internet of Things Magazine","topic":"Video Surveillance and Tracking Methods","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Brandon University","funders":"","keywords":"Drone; Computer science; Frame (networking); Software deployment; Real-time computing; Deep learning; Artificial intelligence; The Internet; Process (computing); Object detection; Computer vision; Telecommunications; World Wide Web; Pattern recognition (psychology)","retraction":null,"screen_n_in":null,"score":{"opus":0.02346996202038674,"gpt":0.283216060584466,"spread":0.2597460985640793,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009641063,0.000191967,0.0003476235,0.0001414883,0.000055771,0.0001266442,0.0004809675,0.0001000601,0.00001453357],"category_scores_gemma":[0.0005873058,0.0001573627,0.0001159177,0.0002877969,0.0001063009,0.0003458066,0.0002689017,0.0003872451,0.00000711017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000479327,"about_ca_system_score_gemma":0.00002671651,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002137083,"about_ca_topic_score_gemma":0.0001091526,"domain_scores_codex":[0.9982837,0.0003881038,0.000432253,0.0004064067,0.0002567589,0.0002327045],"domain_scores_gemma":[0.9986498,0.000468692,0.000312815,0.000351917,0.0001763648,0.00004035754],"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":[0.0001614611,0.0001717515,0.002921579,0.0002047549,0.0002336113,0.00005203596,0.00821531,0.003207239,0.87878,0.001113344,0.00001570884,0.1049232],"study_design_scores_gemma":[0.0004430978,0.000217394,0.004797062,0.000355428,0.00001679539,0.00007104258,0.00006207047,0.7316428,0.261579,0.0005130892,0.0001319481,0.0001702198],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.520066,0.00009851866,0.4789109,0.00009145859,0.0006523594,0.00005807295,2.927587e-7,0.00004162162,0.00008074941],"genre_scores_gemma":[0.9607407,0.00002233512,0.03883598,0.0001254141,0.00004742916,0.0000030668,0.000001056965,0.00001854171,0.0002054993],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7284356,"threshold_uncertainty_score":0.6417065,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4386885168","doi":"10.1109/iotm.001.2300073","title":"Blockchain and Machine Learning in Internet of Vehicles: Applications, Challenges, and Opportunities","year":2023,"lang":"en","type":"article","venue":"IEEE Internet of Things Magazine","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":"University of Windsor","funders":"","keywords":"Scalability; Computer science; Transparency (behavior); The Internet; Intelligent transportation system; Blockchain; Distributed computing; Computer security; Computer network; Artificial intelligence; Database; World Wide Web; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.03569321540316348,"gpt":0.2456718104776407,"spread":0.2099785950744772,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006520497,0.0001342364,0.0002752717,0.0004094566,0.00001966744,0.00001765196,0.0005541813,0.0001167696,0.000003434021],"category_scores_gemma":[0.00003241547,0.0001349801,0.00002818089,0.0002372423,0.0002206287,0.0001041974,0.0004524282,0.0002786267,0.000006405988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001277576,"about_ca_system_score_gemma":0.00001513174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001316983,"about_ca_topic_score_gemma":0.00003207604,"domain_scores_codex":[0.9989217,0.00005139351,0.0003874528,0.0003364706,0.0001314637,0.0001715458],"domain_scores_gemma":[0.9992096,0.0001449988,0.0002163561,0.000319409,0.00006217219,0.00004750074],"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":[0.00001937137,0.0001479624,0.001715936,0.0003766112,0.00005115192,0.00001702265,0.01013204,0.00001844965,0.00324692,0.2989894,0.0004555835,0.6848296],"study_design_scores_gemma":[0.001391907,0.0005513286,0.008237593,0.0004910651,0.00002598341,0.0001177941,0.000695271,0.8593775,0.01691356,0.0611317,0.050477,0.0005893045],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9067391,0.01487063,0.06644756,0.008745681,0.00009750616,0.0005723647,0.000006334172,0.0006039696,0.00191683],"genre_scores_gemma":[0.9921609,0.003786031,0.003041036,0.00008371703,0.000008818718,0.00006414491,0.000004310973,0.000010701,0.0008403729],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.859359,"threshold_uncertainty_score":0.5504329,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4404035144","doi":"10.1109/iotm.001.2400045","title":"Resource Optimization in UAV-Assisted IoT Networks: The Role of Generative AI","year":2024,"lang":"en","type":"article","venue":"IEEE Internet of Things Magazine","topic":"IoT and Edge/Fog Computing","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":"Lakehead University","funders":"","keywords":"Generative grammar; Computer science; Resource (disambiguation); Artificial intelligence; Internet of Things; Computer network; World Wide Web","retraction":null,"screen_n_in":null,"score":{"opus":0.009105365571330163,"gpt":0.2338269851407662,"spread":0.224721619569436,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005544028,0.0001382509,0.0002084341,0.0001714208,0.00002662141,0.0001430446,0.0008358638,0.00007006812,0.000006577558],"category_scores_gemma":[0.00004112488,0.0001028621,0.00008529316,0.0005957492,0.00006702976,0.0002569755,0.0002433046,0.0002789937,0.000009040798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000474501,"about_ca_system_score_gemma":0.00003757922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008621022,"about_ca_topic_score_gemma":0.000004608787,"domain_scores_codex":[0.9987478,0.0001002513,0.0004356578,0.000290033,0.0002180465,0.0002081722],"domain_scores_gemma":[0.999231,0.0001831878,0.0001527462,0.0003106539,0.00009294735,0.00002950038],"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":[0.00007664495,0.0002026231,0.0006251111,0.0001379555,0.000173902,0.00005966253,0.03078526,0.6771314,0.0105683,0.005749639,0.1031755,0.171314],"study_design_scores_gemma":[0.0001140789,0.00007186233,0.0001456361,0.0003001755,0.000007694574,0.00001482468,0.00002111291,0.9798225,0.007104564,0.0006013805,0.0116958,0.0001004013],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02554965,0.001325326,0.9623867,0.002025351,0.003381531,0.0001690812,2.053162e-7,0.0001282443,0.005033896],"genre_scores_gemma":[0.9717087,0.0000110275,0.02547725,0.0007320566,0.0008001038,0.0000064347,0.00000398269,0.00002067444,0.001239792],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.946159,"threshold_uncertainty_score":0.4194597,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4403826532","doi":"10.1109/iotm.001.2400061","title":"Merging Threat Modeling with Threat Hunting for Dynamic Cybersecurity Defense","year":2024,"lang":"en","type":"article","venue":"IEEE Internet of Things Magazine","topic":"Information and Cyber 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":"Research Canada; Ericsson (Canada)","funders":"Türkiye Bilimsel ve Teknolojik Araştırma Kurumu; European Commission","keywords":"Computer security; Cyber threats; Computer science; Threat assessment; Business; Internet privacy","retraction":null,"screen_n_in":null,"score":{"opus":0.01239017136449039,"gpt":0.2498152625837679,"spread":0.2374250912192775,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005194759,0.0002369045,0.000278326,0.0002275538,0.00007269791,0.0003374327,0.0007242071,0.0000821814,0.00001591862],"category_scores_gemma":[0.00003065204,0.0001946481,0.0001649583,0.0002939411,0.00005018052,0.001965878,0.0001637882,0.0002591861,0.00006160427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008473376,"about_ca_system_score_gemma":0.00006414761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001504877,"about_ca_topic_score_gemma":0.00006062688,"domain_scores_codex":[0.998427,0.00002086443,0.0004648778,0.000396397,0.0003388129,0.0003520805],"domain_scores_gemma":[0.9990805,0.0001012555,0.0001417873,0.0003923789,0.0002092588,0.00007484973],"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":[0.0002361546,0.0001888101,0.0001891762,0.001857816,0.0004845523,0.00009361389,0.07559901,0.01131569,0.004113313,0.8446747,0.003007383,0.05823979],"study_design_scores_gemma":[0.0003235753,0.0001108934,0.000009926057,0.0004544941,0.00002918285,0.00006326927,0.00008446824,0.9866905,0.002796171,0.008174115,0.001022951,0.0002404803],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1225494,0.0002949514,0.8673482,0.0005589384,0.0007461961,0.0002426361,0.000004891831,0.0003907756,0.007864049],"genre_scores_gemma":[0.9550741,0.00001602105,0.04398316,0.000281955,0.0000442478,0.00002104412,0.000008651479,0.00002362174,0.0005471819],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9753748,"threshold_uncertainty_score":0.7937517,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4408016884","doi":"10.1109/iotm.001.2400149","title":"Quantum Machine Learning for Multi-Robot-Assisted Tactical Augmented Reality","year":2025,"lang":"en","type":"article","venue":"IEEE Internet of Things Magazine","topic":"Quantum Computing Algorithms and Architecture","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":"Université du Québec","funders":"","keywords":"Augmented reality; Computer science; Robot; Human–computer interaction; Quantum machine learning; Quantum; Artificial intelligence; Physics; Quantum computer; Quantum mechanics","retraction":null,"screen_n_in":null,"score":{"opus":0.03154644432809695,"gpt":0.305289798237203,"spread":0.273743353909106,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006912296,0.000263246,0.0004413231,0.0002333783,0.0001072319,0.0001354633,0.001119409,0.0001158701,0.000008875564],"category_scores_gemma":[0.0004329231,0.0002297329,0.0002261383,0.0004042764,0.00009426247,0.0002240354,0.0003992519,0.0005010006,0.00001324586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000610792,"about_ca_system_score_gemma":0.00006526204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002640423,"about_ca_topic_score_gemma":0.00001695578,"domain_scores_codex":[0.9980245,0.0001387633,0.0005914362,0.0005856365,0.0002601685,0.0003995004],"domain_scores_gemma":[0.998522,0.000376782,0.0003112502,0.000482676,0.0002134354,0.00009385707],"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":[0.0009160155,0.003751894,0.003715819,0.002016346,0.001350162,0.000148975,0.005939855,0.02191716,0.115504,0.1139466,0.03235172,0.6984415],"study_design_scores_gemma":[0.001112383,0.0002589738,0.003766509,0.0002536102,0.00002552205,0.0000208133,0.00000535382,0.977755,0.007379114,0.001478663,0.007737107,0.0002069989],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02482599,0.000124386,0.9701402,0.002613695,0.001247926,0.0002707334,0.000004650192,0.0003324108,0.000440049],"genre_scores_gemma":[0.8178279,0.000005571263,0.1780219,0.0004963352,0.00005534942,0.00001517982,0.00001332117,0.0000182784,0.00354613],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9558378,"threshold_uncertainty_score":0.9368237,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4386885117","doi":"10.1109/iotm.001.2200164","title":"SD6LoWPAN Security: Issues, Solutions, Research Challenges, and Trends","year":2023,"lang":"en","type":"article","venue":"IEEE Internet of Things Magazine","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"6LoWPAN; IPv6; Computer science; Protocol stack; Reconfigurability; Computer network; Routing protocol; IPv4; Context (archaeology); Enterprise information security architecture; The Internet; Computer security; Routing (electronic design automation); Wireless sensor network; Telecommunications; World Wide Web","retraction":null,"screen_n_in":null,"score":{"opus":0.09542254978048845,"gpt":0.3312547146919615,"spread":0.2358321649114731,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001819029,0.0001703196,0.0002837822,0.0006104122,0.0000844383,0.0001181297,0.001020827,0.00012485,0.00004239688],"category_scores_gemma":[0.0001337171,0.0001600215,0.00007382318,0.0009087461,0.0001663884,0.0005092465,0.0008262454,0.0004134482,0.0004312647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003528882,"about_ca_system_score_gemma":0.0000228656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001860616,"about_ca_topic_score_gemma":0.00005577862,"domain_scores_codex":[0.9978307,0.0001457992,0.0003284017,0.0005362626,0.0005720296,0.000586739],"domain_scores_gemma":[0.9986663,0.0003063875,0.00009759417,0.0006181761,0.0001763524,0.0001351334],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002824485,0.0001162153,0.00009230692,0.0001217713,0.00006890351,0.00009157386,0.01382024,0.00001843657,0.000460639,0.07397339,0.5164513,0.394757],"study_design_scores_gemma":[0.001380959,0.001099294,0.005806827,0.0006978895,0.00002481939,0.0001404847,0.0002933026,0.2143711,0.001614529,0.1135341,0.6602422,0.0007945266],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.389993,0.2052303,0.05458357,0.1902445,0.01453211,0.001740351,0.00007048,0.009780234,0.1338255],"genre_scores_gemma":[0.9720734,0.007583087,0.004063978,0.0002467049,0.0003519999,0.00003062951,0.00001833815,0.00003890483,0.0155929],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5820805,"threshold_uncertainty_score":0.6525487,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4401809155","doi":"10.1109/iotm.001.2400032","title":"Advancing IIoT with Over-the-Air Federated Learning: The Role of Iterative Magnitude Pruning","year":2024,"lang":"en","type":"article","venue":"IEEE Internet of Things Magazine","topic":"Privacy-Preserving Technologies in Data","field":"Computer 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":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Pruning; Magnitude (astronomy); Computer science; Artificial intelligence; Machine learning; Biology; Physics","retraction":null,"screen_n_in":null,"score":{"opus":0.00858909796587739,"gpt":0.2477140539278404,"spread":0.239124955961963,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["open_science"],"consensus_categories":["open_science"],"category_scores_codex":[0.0007609407,0.0002381945,0.000276856,0.0001656169,0.0001030211,0.0003106639,0.01124292,0.00008191916,0.00002300034],"category_scores_gemma":[0.00309518,0.0001375743,0.00007637993,0.0006876619,0.0002840986,0.001087494,0.01256272,0.0008153859,0.00002518514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007143054,"about_ca_system_score_gemma":0.00008148395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001445483,"about_ca_topic_score_gemma":0.00003124076,"domain_scores_codex":[0.9981861,0.0001262294,0.0004105661,0.0004773222,0.0004663625,0.0003334332],"domain_scores_gemma":[0.9967716,0.0005610591,0.0002997213,0.00214653,0.0001865677,0.00003456573],"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":[0.0003999006,0.0004501799,0.006640075,0.00101258,0.001733752,0.0004273524,0.03392209,0.004483084,0.4095419,0.03396622,0.2669031,0.2405197],"study_design_scores_gemma":[0.0002352526,0.0005037414,0.0004622105,0.001048393,0.00003093859,0.00008556703,0.0002577204,0.7775967,0.1775818,0.02098006,0.02096581,0.0002518299],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4298804,0.002441197,0.5342515,0.02174557,0.0009514043,0.0006406308,0.00001100342,0.001677185,0.008401193],"genre_scores_gemma":[0.9569362,0.00002574795,0.04212052,0.0001909796,0.00003349585,0.00001660187,0.000003687807,0.00002599221,0.0006467303],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7731136,"threshold_uncertainty_score":0.9954235,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4411599688","doi":"10.1109/iotm.001.2400162","title":"Leveraging Edge Intelligence and LLMs to Advance 6G-Enabled Internet of Automated Defense Vehicles","year":2025,"lang":"en","type":"article","venue":"IEEE Internet of Things Magazine","topic":"Anomaly Detection Techniques and Applications","field":"Computer 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":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Enhanced Data Rates for GSM Evolution; The Internet; Computer security; Business intelligence; Computer science; Business; Telecommunications; World Wide Web; Knowledge management","retraction":null,"screen_n_in":null,"score":{"opus":0.01284820026532324,"gpt":0.2665939369413274,"spread":0.2537457366760041,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002790306,0.0001671052,0.0002861352,0.0002932431,0.00002941887,0.00006762097,0.0008965411,0.00006786034,0.00001163469],"category_scores_gemma":[0.00007696934,0.0001636797,0.00006839493,0.0005832643,0.0000966419,0.0003442649,0.0004643523,0.0001572312,0.00002228077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004485146,"about_ca_system_score_gemma":0.00003089062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001784045,"about_ca_topic_score_gemma":0.000006163514,"domain_scores_codex":[0.9986895,0.00003258817,0.0005147829,0.0004136648,0.0001534941,0.0001960097],"domain_scores_gemma":[0.9989111,0.0001101228,0.0002338463,0.0004661481,0.0002095364,0.00006924315],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00022392,0.0005651924,0.002437457,0.0007916252,0.0002501966,0.00002317718,0.01082987,0.001145831,0.367926,0.1533788,0.04776576,0.4146622],"study_design_scores_gemma":[0.000150475,0.0002025872,0.0009741907,0.0004763405,0.00001428225,0.00001755589,0.00003958304,0.2973486,0.685934,0.006478717,0.008157709,0.0002060094],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1537377,0.000131434,0.8425097,0.0005388983,0.0001897149,0.0002209136,0.000001433104,0.0004346456,0.002235516],"genre_scores_gemma":[0.9199877,0.00002853954,0.07636777,0.0005104197,0.000009458938,0.00003014914,8.152568e-7,0.000009287685,0.003055882],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.76625,"threshold_uncertainty_score":0.6674663,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4389879593","doi":"10.1109/iotm.001.2300004","title":"Data-Driven Methods and Challenges for Intelligent Transportation Systems in Smart Cities","year":2023,"lang":"en","type":"article","venue":"IEEE Internet of Things Magazine","topic":"Traffic Prediction and Management Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"York University","funders":"","keywords":"Intelligent transportation system; Computer science; Smart city; Transport engineering; Data science; Internet of Things; Engineering; Computer security","retraction":null,"screen_n_in":null,"score":{"opus":0.07339112069153057,"gpt":0.3148015069591183,"spread":0.2414103862675878,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004675344,0.00009644432,0.0001809028,0.0002383838,0.000005748993,0.00001694524,0.0001938316,0.00005130791,0.000002191335],"category_scores_gemma":[0.00001766818,0.00009860905,0.00002353871,0.00008293093,0.00002372489,0.0002113663,0.00002070362,0.00006921597,0.000003782087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001798425,"about_ca_system_score_gemma":0.000002299797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003882196,"about_ca_topic_score_gemma":0.00008995528,"domain_scores_codex":[0.9993462,0.00001857097,0.0002854983,0.0001591078,0.00007531529,0.0001153328],"domain_scores_gemma":[0.9996684,0.00007653746,0.00004138118,0.0001702749,0.00002049786,0.00002295512],"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":[0.0001627053,0.0001285267,0.0005875661,0.01355546,0.0006917954,0.00003049806,0.02289877,0.03630235,0.0164953,0.02302638,0.2606282,0.6254925],"study_design_scores_gemma":[0.0002430844,0.00007394401,0.001940958,0.0002913256,0.00002828928,0.000001405137,0.0005100096,0.8793643,0.002711696,0.0002019035,0.1144964,0.0001367648],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05113016,0.003255551,0.9361125,0.0004019544,0.001933625,0.0008553575,0.0001338367,0.004080542,0.002096435],"genre_scores_gemma":[0.982987,0.00551253,0.01094221,0.00001735363,0.00003355939,0.00008508078,0.0001198793,0.00002744148,0.0002749497],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9318568,"threshold_uncertainty_score":0.402116,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3119472426","doi":"10.1109/iotm.0001.2000012","title":"IoT Ecosystem on Exploiting Dynamic VNF Orchestration and Service Chaining: AI to the Rescue?","year":2020,"lang":"en","type":"article","venue":"IEEE Internet of Things Magazine","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Lakehead University","funders":"","keywords":"Chaining; Orchestration; Computer science; Internet of Things; Service (business); Network Functions Virtualization; Ecosystem services; Distributed computing; Cloud computing; Ecosystem; Computer security; Business; Operating system; Ecology","retraction":null,"screen_n_in":null,"score":{"opus":0.02559257940637995,"gpt":0.2464094941763523,"spread":0.2208169147699723,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003925862,0.0001735172,0.0002207076,0.00006177016,0.00005427469,0.0001818203,0.0008536062,0.00006160552,0.000005970584],"category_scores_gemma":[0.000129684,0.0001313122,0.0000470784,0.0003799843,0.00001344269,0.0002437447,0.0002591372,0.0002580191,0.00009927158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003136081,"about_ca_system_score_gemma":0.00002414154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005775805,"about_ca_topic_score_gemma":0.0001095947,"domain_scores_codex":[0.9986541,0.00006942642,0.0003459395,0.0004217931,0.0002800619,0.0002287276],"domain_scores_gemma":[0.9990756,0.0001851667,0.0001534686,0.0003501842,0.0001119061,0.0001236638],"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":[0.001283607,0.0004914802,0.002267034,0.002219986,0.0005869965,0.0003301484,0.2700328,0.1088295,0.06687752,0.05759769,0.1032896,0.3861936],"study_design_scores_gemma":[0.0003224536,0.0005164746,0.0006477098,0.0003865566,0.00001016217,0.00002275216,0.000117571,0.9902337,0.003152624,0.0003141973,0.004067351,0.0002084443],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6189522,0.00007560963,0.3244196,0.05471309,0.0005977774,0.0003229498,0.000003633586,0.0002721484,0.0006430138],"genre_scores_gemma":[0.9779037,0.000004966164,0.005232578,0.01655102,0.0001588352,0.00001405812,0.000002128119,0.00001778892,0.0001149558],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8814042,"threshold_uncertainty_score":0.5354759,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4416148746","doi":"10.1109/miot.2025.3612374","title":"Aerial RIS for Enhancing IoT Connectivity: Opportunities and Challenges","year":2025,"lang":"","type":"article","venue":"IEEE Internet of Things Magazine","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa; McMaster University","funders":"","keywords":"LPWAN; Software deployment; Reliability (semiconductor); Resilience (materials science); Adaptability; Internet of Things; Drone; Flexibility (engineering)","retraction":null,"screen_n_in":null,"score":{"opus":0.03454013667759262,"gpt":0.2506222183609276,"spread":0.216082081683335,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004300025,0.000299189,0.0005162664,0.0002838281,0.00006264711,0.00009015252,0.0002167434,0.0002166541,0.00006867364],"category_scores_gemma":[0.0001368594,0.000344674,0.0001095273,0.0001190042,0.000122043,0.0002366396,0.00009429869,0.0001664369,0.000005665326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008074964,"about_ca_system_score_gemma":0.00005391703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009196375,"about_ca_topic_score_gemma":0.0001229975,"domain_scores_codex":[0.9985737,0.00003026964,0.0006245842,0.0003689623,0.0001195814,0.0002829373],"domain_scores_gemma":[0.9988444,0.0003468785,0.0002163378,0.0002925111,0.0002288392,0.00007105088],"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":[0.001043987,0.0007094654,0.00008518712,0.01830122,0.002359096,0.000009997857,0.02087802,0.01647815,0.1170314,0.2108583,0.02016653,0.5920786],"study_design_scores_gemma":[0.002891275,0.0005713841,0.0002908892,0.002277456,0.0005709078,0.0000140747,0.001241777,0.6741899,0.1470388,0.0052198,0.1648173,0.0008764059],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1380102,0.01756408,0.8095309,0.005577758,0.00378167,0.0015405,0.00009002248,0.000267768,0.02363709],"genre_scores_gemma":[0.975221,0.01157426,0.008443736,0.0001190503,0.0002340234,0.0001299938,0.00001521728,0.0000539017,0.004208852],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8372107,"threshold_uncertainty_score":0.9999005,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4409985442","doi":"10.1109/iotm.001.2400123","title":"Dual Function of Sensing and Backscatter Communication in Cellular Networks","year":2025,"lang":"en","type":"article","venue":"IEEE Internet of Things Magazine","topic":"Energy Harvesting in Wireless Networks","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Dual function; Dual (grammatical number); Backscatter (email); Function (biology); Remote sensing; Computer science; Telecommunications; Biology; Cell biology; Geology; Art; Computer graphics (images)","retraction":null,"screen_n_in":null,"score":{"opus":0.005421756089550573,"gpt":0.1957234148027372,"spread":0.1903016587131867,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002622169,0.0001208718,0.0002275122,0.0001551639,0.000009507354,0.00001575217,0.0001179508,0.000117458,0.000008287544],"category_scores_gemma":[0.00002382264,0.0001346457,0.0000321498,0.000195552,0.00007799658,0.0001391145,0.00006725779,0.0002714915,0.000001686397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003438651,"about_ca_system_score_gemma":0.000004798198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001272525,"about_ca_topic_score_gemma":0.00008176703,"domain_scores_codex":[0.9992272,0.00004462793,0.0003954191,0.0001216556,0.00007604143,0.0001350983],"domain_scores_gemma":[0.9994343,0.0001506232,0.00009160494,0.0002531784,0.00005101686,0.00001931218],"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":[0.00009205566,0.00005365157,0.006693105,0.0005908394,0.0001650013,0.000007485663,0.0008815741,0.8433454,0.09436684,0.001024547,0.009086386,0.04369309],"study_design_scores_gemma":[0.0003578716,0.00002703262,0.005177206,0.001146601,0.00002786286,0.000002830324,0.00001709152,0.9719911,0.02024119,0.0003128512,0.0005766807,0.0001216386],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8197005,0.001095685,0.1731565,0.0000635069,0.0005942752,0.00007607919,4.605637e-7,0.00008518638,0.005227813],"genre_scores_gemma":[0.9970069,0.00009441759,0.00232569,0.00006874671,0.00003380573,0.000001762305,0.000009233555,0.000020242,0.0004391973],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1773064,"threshold_uncertainty_score":0.5490692,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4379740382","doi":"10.1109/iotm.001.2200185","title":"Large-Scale Environmental Sensing of Remote Areas on a Budget","year":2023,"lang":"en","type":"article","venue":"IEEE Internet of Things Magazine","topic":"IoT Networks and Protocols","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto; Advanced Micro Devices (Canada)","funders":"","keywords":"Scalability; Cloud computing; Modular design; Computer science; Default gateway; Internet of Things; Architecture; Computer network; Node (physics); The Internet; Mesh networking; Wireless sensor network; Satellite; Telecommunications; Remote sensing; Embedded system; Engineering; Geography; Wireless; Database; World Wide Web","retraction":null,"screen_n_in":null,"score":{"opus":0.009012508971779104,"gpt":0.2252645138612882,"spread":0.2162520048895091,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002394511,0.0001541001,0.0002538118,0.000112622,0.0000120639,0.0000111233,0.0001565682,0.00008689158,0.0000974011],"category_scores_gemma":[0.00001038622,0.0001519204,0.000100604,0.0001284793,0.00003581064,0.00007755634,0.00005185423,0.0001879023,0.0002656986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003581552,"about_ca_system_score_gemma":0.000003262924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001100749,"about_ca_topic_score_gemma":0.000004582022,"domain_scores_codex":[0.9990664,0.00001841244,0.0003118863,0.0001522537,0.0002015095,0.0002495625],"domain_scores_gemma":[0.9995776,0.00005071876,0.00008193055,0.0002313482,0.00001059265,0.00004781426],"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":[0.0006177082,0.000260725,0.001133855,0.00141149,0.0005139954,0.0002345507,0.01565242,0.07052325,0.5220168,0.0001671127,0.2560846,0.1313835],"study_design_scores_gemma":[0.0007678486,0.0002458323,0.001138732,0.0007032804,0.00002178376,0.00001816484,0.00006990624,0.7782118,0.1795491,0.0005449446,0.0384435,0.0002851263],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9692194,0.00004968153,0.01427142,0.00007499189,0.0008728828,0.001266452,0.00003225361,0.0003401575,0.01387272],"genre_scores_gemma":[0.9959328,0.00002207935,0.001744029,0.00008084522,0.0001261489,0.000009998312,0.00001926725,0.00004943676,0.00201535],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7076885,"threshold_uncertainty_score":0.6195132,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4400070982","doi":"10.1109/iotm.001.2300247","title":"Workload Allocation for Distributed Coded Machine Learning: From Offline Model-Based to Online Model-Free","year":2024,"lang":"en","type":"article","venue":"IEEE Internet of Things Magazine","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Ericsson (Canada); Dalhousie University","funders":"","keywords":"Computer science; Workload; Online and offline; Artificial intelligence; Machine learning; Distributed computing; Operating system","retraction":null,"screen_n_in":null,"score":{"opus":0.0283204362006109,"gpt":0.2686853066713935,"spread":0.2403648704707826,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005712064,0.0003681283,0.0005157989,0.0002371739,0.00005533743,0.0003216538,0.00215034,0.0001543327,0.00001047814],"category_scores_gemma":[0.000285613,0.0003456807,0.0002476326,0.000550208,0.00004253271,0.0003903382,0.0003428504,0.000367653,0.00005347205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000131044,"about_ca_system_score_gemma":0.0001677893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002133953,"about_ca_topic_score_gemma":0.00004330225,"domain_scores_codex":[0.9973848,0.00007207662,0.0008117094,0.0008192988,0.0004775238,0.0004345267],"domain_scores_gemma":[0.9979855,0.0003301711,0.0002536731,0.0008672623,0.0003635552,0.0001998686],"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":[0.0001409388,0.0001966519,0.00003143142,0.0001651979,0.00009881165,0.000008545449,0.0006973944,0.9503791,0.007282759,0.002598444,0.03338475,0.005015987],"study_design_scores_gemma":[0.00084085,0.0002605613,0.00001464064,0.0007858455,0.00004119224,0.000003498939,0.000003405272,0.9828967,0.003490044,0.004681555,0.006634036,0.0003477],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01871068,0.0004513427,0.9743716,0.003434277,0.0009478268,0.0004781512,0.0007209057,0.0007078401,0.0001773699],"genre_scores_gemma":[0.8500436,0.000004916466,0.1458955,0.0004898824,0.0001551995,0.0000354828,0.001119643,0.00004041591,0.002215388],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8313329,"threshold_uncertainty_score":0.9998995,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4411232033","doi":"10.1109/miot.2025.3578949","title":"Revolutionizing Patient Care with Medical IoT and Generative AI","year":2025,"lang":"en","type":"article","venue":"IEEE Internet of Things Magazine","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Internet of Things; Generative grammar; Computer science; Data science; Artificial intelligence; World Wide Web","retraction":null,"screen_n_in":null,"score":{"opus":0.01689051900539492,"gpt":0.2595047957201738,"spread":0.2426142767147788,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001268405,0.0001652549,0.0002242927,0.0002002282,0.00006062669,0.0001274777,0.0002790077,0.0000838399,0.0001993],"category_scores_gemma":[0.0001709673,0.0001259218,0.0000335705,0.0003284891,0.0001761575,0.0005748913,0.0002478461,0.0001957547,0.00003587608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002887235,"about_ca_system_score_gemma":0.00004123009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005506863,"about_ca_topic_score_gemma":0.0001839628,"domain_scores_codex":[0.9989429,0.000007097486,0.0002644886,0.0002881387,0.0003242227,0.0001731396],"domain_scores_gemma":[0.9991809,0.00003398353,0.0001725077,0.0001887289,0.0004097326,0.00001417879],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001004572,0.000484785,0.06519625,0.004656604,0.0005142416,0.000182317,0.003512479,0.00020664,0.006028629,0.06981593,0.3546915,0.493706],"study_design_scores_gemma":[0.002845728,0.0004039796,0.008210141,0.01433419,0.0005324364,0.00007368591,0.001793861,0.08342043,0.03902789,0.005097493,0.8426217,0.001638486],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8440655,0.002223229,0.0952268,0.008932794,0.002133367,0.0005491479,0.00001121262,0.0002105995,0.04664738],"genre_scores_gemma":[0.9927439,0.00002195645,0.0009030252,0.005081571,0.0002040581,0.00001005296,0.00003066711,0.00001257025,0.0009922017],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4920675,"threshold_uncertainty_score":0.5134943,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4408016741","doi":"10.1109/iotm.001.2400163","title":"Holographic Video Communication: Principle, Applications and Open Issues","year":2025,"lang":"en","type":"article","venue":"IEEE Internet of Things Magazine","topic":"Advanced Optical Imaging Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université Laval","funders":"Henan Provincial Science and Technology Research Project; China Postdoctoral Science Foundation","keywords":"Holography; Computer science; Computer graphics (images); Multimedia; Optics; Physics","retraction":null,"screen_n_in":null,"score":{"opus":0.01265365707212539,"gpt":0.3026485311184909,"spread":0.2899948740463655,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001267348,0.0001175336,0.0002120264,0.0001519701,0.00002656681,0.00006359272,0.001021258,0.00007067963,0.00001116069],"category_scores_gemma":[0.00007533577,0.0001175105,0.000026166,0.0002837581,0.0002773777,0.0003220858,0.0005634057,0.0002245254,0.0000165429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002177029,"about_ca_system_score_gemma":0.000004814797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002056294,"about_ca_topic_score_gemma":0.000006817045,"domain_scores_codex":[0.9993923,0.00001089893,0.0002515788,0.0001611877,0.00005828982,0.0001257649],"domain_scores_gemma":[0.9991807,0.00009504805,0.00004996226,0.0005876665,0.00006403682,0.0000226117],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008745491,0.0003529674,0.01108475,0.001380656,0.0007292512,0.00001081299,0.001147826,0.002697108,0.07973701,0.6332313,0.08130404,0.1882369],"study_design_scores_gemma":[0.001207463,0.0001070067,0.006971057,0.0009100293,0.0001102261,0.00002397384,0.0001329942,0.04915177,0.1161901,0.2501843,0.5743231,0.0006879409],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09849301,0.01572685,0.6987009,0.01051378,0.0004292692,0.002248797,0.00001673173,0.003803655,0.170067],"genre_scores_gemma":[0.8688552,0.0008223198,0.1278294,0.0001695542,0.000006636744,0.0001565311,0.000005237545,0.00001825537,0.002136861],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7703622,"threshold_uncertainty_score":0.4791939,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4403826572","doi":"10.1109/iotm.001.2400002","title":"Connected Internet of Things for Monitoring and Tracking of Endangered Whales","year":2024,"lang":"en","type":"article","venue":"IEEE Internet of Things Magazine","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa; Concordia University","funders":"","keywords":"Endangered species; Whale; Tracking (education); Fishery; Internet of Things; The Internet; Geography; Environmental science; Internet privacy; Computer science; World Wide Web; Biology; Ecology; Sociology; Habitat","retraction":null,"screen_n_in":null,"score":{"opus":0.02557513881874779,"gpt":0.2664681967940628,"spread":0.240893057975315,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003798507,0.0001881507,0.0004203443,0.00006927038,0.00001426107,0.00003030782,0.0003231149,0.00006603662,0.0003085515],"category_scores_gemma":[0.0001812101,0.0001673,0.0001297483,0.0001504938,0.0002248412,0.0004629832,0.0003895948,0.0001366406,0.00001581869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006732158,"about_ca_system_score_gemma":0.00000564464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002677307,"about_ca_topic_score_gemma":0.00009405873,"domain_scores_codex":[0.9986449,0.00002491138,0.0005393401,0.0003292066,0.00025749,0.000204144],"domain_scores_gemma":[0.9992166,0.0002796286,0.0002601001,0.0001539653,0.00004224818,0.0000474399],"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":[0.0004594715,0.0002600595,0.08804394,0.005020673,0.0006407723,0.00002973431,0.02797197,0.0000255315,0.6510542,0.001098412,0.01170614,0.2136891],"study_design_scores_gemma":[0.001054084,0.001292477,0.06301918,0.003696046,0.0002700585,0.00004239368,0.0004381811,0.0190214,0.8868022,0.001663427,0.02212043,0.0005801506],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909634,0.001569985,0.001892414,0.0001142789,0.000444632,0.0002812184,0.00001072068,0.00005229802,0.004671073],"genre_scores_gemma":[0.9942901,0.0001835756,0.004180823,0.0000369585,0.00004249768,0.0000129273,0.000002555062,0.00002687908,0.001223661],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.235748,"threshold_uncertainty_score":0.6822296,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4313855988","doi":"10.1109/miot.2022.10012403","title":"Guest Editorial: Pervasive, Efficient, and Smart Signal Processing for IoT","year":2022,"lang":"en","type":"editorial","venue":"IEEE Internet of Things Magazine","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Agence Nationale de la Recherche","keywords":"Internet of Things; Wearable computer; Computer science; Digital signal processing; Factory (object-oriented programming); Wearable technology; Telecommunications; Data science; Computer security; Embedded system; Computer hardware","retraction":null,"screen_n_in":null,"score":{"opus":0.01086616420199157,"gpt":0.2521903214783381,"spread":0.2413241572763465,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00140529,0.0005379296,0.0008220564,0.0003601564,0.0002193781,0.0005087381,0.002244138,0.0005192611,0.000007770565],"category_scores_gemma":[0.0005410736,0.0005418497,0.0002538548,0.0003142859,0.000136445,0.0003026882,0.001224701,0.001182167,0.00001406361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001792134,"about_ca_system_score_gemma":0.0005510711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001064873,"about_ca_topic_score_gemma":0.000002065865,"domain_scores_codex":[0.996003,0.00009159886,0.0008334075,0.001103391,0.001345265,0.0006233843],"domain_scores_gemma":[0.9963995,0.001167612,0.0009744637,0.000496114,0.0008146562,0.0001476634],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007586067,0.00009216536,0.000007134336,0.0006611848,0.00005281996,0.0000113365,0.001787337,0.00003155558,0.0004416394,0.00001787288,0.991779,0.005042146],"study_design_scores_gemma":[0.0007879992,0.0005062158,0.000002287862,0.0005019019,0.00005992846,0.000009426119,0.000009832755,0.0483814,0.0006506629,0.0001915489,0.9483851,0.0005137378],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0003105844,0.0003895041,0.05211036,0.000120133,0.9458724,0.0004154413,0.00001065695,0.0002160327,0.0005548924],"genre_scores_gemma":[0.0003988143,0.00000913817,0.008558533,0.00005686288,0.9885247,0.00004935573,0.00007014576,0.00007891373,0.002253476],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.04834985,"threshold_uncertainty_score":0.9997033,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4411599597","doi":"10.1109/iotm.001.2400140","title":"Vehicle Sound Recognition Assistance in IoT Systems for Hearing-Impaired Drivers","year":2025,"lang":"en","type":"article","venue":"IEEE Internet of Things Magazine","topic":"Vehicle Noise and Vibration Control","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Sound (geography); Internet of Things; Speech recognition; Computer science; Hearing impaired; Audiology; Internet privacy; Acoustics; Medicine","retraction":null,"screen_n_in":null,"score":{"opus":0.0187683119904882,"gpt":0.2403579817963803,"spread":0.2215896698058921,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000208429,0.0001215742,0.0002417427,0.0001785181,0.0000155176,0.00005579798,0.0001404614,0.00008965519,0.00001181413],"category_scores_gemma":[0.00005189571,0.0001344095,0.00007191729,0.0001596822,0.00002156966,0.0001423178,0.00001266481,0.000124202,0.00002361816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001083167,"about_ca_system_score_gemma":0.00001564771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008557767,"about_ca_topic_score_gemma":0.00007430319,"domain_scores_codex":[0.9991722,0.00001933249,0.0003715826,0.0001593432,0.00009781357,0.0001796938],"domain_scores_gemma":[0.9995843,0.0001038598,0.000065739,0.0001329995,0.00008250827,0.00003061946],"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":[0.001615738,0.0005829076,0.03403444,0.007658236,0.001072146,0.00004188411,0.005222118,0.235256,0.5353028,0.004343525,0.1256645,0.04920577],"study_design_scores_gemma":[0.001747997,0.00008282324,0.002345951,0.0005518002,0.00002927228,0.000001556252,0.00005537109,0.9716499,0.01915535,0.0009304761,0.003267256,0.0001821973],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9307515,0.0003228005,0.06377296,0.000170352,0.001163929,0.0004113638,0.00001646197,0.0001763803,0.003214274],"genre_scores_gemma":[0.9981585,0.00001288611,0.000426673,0.0001227135,0.00005426195,0.00006245705,0.000008044274,0.00001873794,0.001135711],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.736394,"threshold_uncertainty_score":0.548106,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4411599595","doi":"10.1109/iotm.001.2400202","title":"Edge-IoT and MLLMs for Education and Scene Understanding: Assisting Vision and Hearing-Impaired Individuals","year":2025,"lang":"en","type":"article","venue":"IEEE Internet of Things Magazine","topic":"Robotics and Automated Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Hearing impaired; Enhanced Data Rates for GSM Evolution; Internet of Things; Low vision; Visually impaired; Psychology; Audiology; Computer vision; Artificial intelligence; Computer science; Optometry; Human–computer interaction; Medicine; Internet privacy","retraction":null,"screen_n_in":null,"score":{"opus":0.023525539045221,"gpt":0.2712807627315207,"spread":0.2477552236862997,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000289928,0.0001395466,0.0002451801,0.0001780378,0.00004322967,0.000125311,0.0000677706,0.00008583779,0.000002030614],"category_scores_gemma":[0.00006590382,0.0001329346,0.00002443828,0.00008722589,0.00004789214,0.0001194462,0.00004772712,0.00008639708,6.317833e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005594128,"about_ca_system_score_gemma":0.00001677269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003208203,"about_ca_topic_score_gemma":0.000004856747,"domain_scores_codex":[0.999285,0.00001276271,0.0002954249,0.0001832005,0.00008015931,0.0001434932],"domain_scores_gemma":[0.9996174,0.0001163443,0.0000781979,0.00009707253,0.00003937918,0.00005163626],"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":[0.0002141622,0.0006289125,0.08444887,0.02373233,0.001716752,0.000009496468,0.01813272,0.006633796,0.456532,0.03110978,0.1372847,0.2395565],"study_design_scores_gemma":[0.001748938,0.0003228085,0.02761732,0.004881393,0.0001519819,0.00004515795,0.0006602283,0.9371464,0.01712244,0.006189146,0.003596137,0.0005180585],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9192973,0.001940002,0.07353375,0.0004423375,0.001242551,0.0004294183,0.000007224007,0.0001899657,0.002917482],"genre_scores_gemma":[0.9948657,0.0000426232,0.004241494,0.00005014429,0.00003833115,0.000009118134,0.000005208522,0.00002011189,0.0007273065],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9305126,"threshold_uncertainty_score":0.5420917,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4390806111","doi":"10.1109/miot.2024.10397562","title":"Call for Papers","year":2024,"lang":"en","type":"paratext","venue":"IEEE Internet of Things Magazine","topic":"Military Strategy and Technology","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Thales (Canada); Royal Military College of Canada","funders":"","keywords":"Computer science","retraction":null,"screen_n_in":null,"score":{"opus":0.009496980190993529,"gpt":0.2299612257459518,"spread":0.2204642455549583,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001016882,0.0003640971,0.0005434418,0.0002470361,0.000008613613,0.00001901719,0.0004971698,0.000640124,0.001517949],"category_scores_gemma":[0.00001817594,0.0003487158,0.0002536708,0.0001019391,0.00008698019,0.00006893255,0.00004645701,0.0006766794,0.005485021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006478767,"about_ca_system_score_gemma":0.00002478117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004817556,"about_ca_topic_score_gemma":0.00002661597,"domain_scores_codex":[0.9987872,0.000007275069,0.0004577491,0.0003247334,0.0001140507,0.0003089892],"domain_scores_gemma":[0.9994473,0.00007176428,0.00006453829,0.0003191026,0.0000488985,0.00004839036],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002287395,0.00001174145,2.927833e-7,0.002442973,0.0003632421,0.00001347543,0.0001839904,0.0006099038,0.008043122,0.000583811,0.9844502,0.003274348],"study_design_scores_gemma":[0.0001910455,0.000187211,0.000001114649,0.0005518076,0.00009444673,0.000019922,0.000007170885,0.008263828,0.01723546,0.0007579148,0.9723436,0.0003465135],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00389459,0.01510139,0.006783708,0.0002579335,0.01925374,0.0006429412,0.0004327244,0.0008226666,0.9528103],"genre_scores_gemma":[0.2099567,0.0009064436,0.001464473,0.0001359261,0.0004876824,0.0001067505,0.0003156138,0.0002033276,0.7864231],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2060621,"threshold_uncertainty_score":0.9998965,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4390738522","doi":"10.1109/miot.2024.10397576","title":"Call for Papers","year":2024,"lang":"en","type":"paratext","venue":"IEEE Internet of Things Magazine","topic":"Human auditory perception and evaluation","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":"Concordia University","funders":"","keywords":"Computer science","retraction":null,"screen_n_in":null,"score":{"opus":0.02244743825996572,"gpt":0.2786025806395063,"spread":0.2561551423795406,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002001604,0.0002974622,0.0003952621,0.0002225116,0.00001146015,0.00005942865,0.0002731574,0.0003135218,0.0415335],"category_scores_gemma":[0.00002270587,0.0002933832,0.0002516226,0.00006468978,0.00004328821,0.00009315967,0.00002538573,0.0003759047,0.1081355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001641531,"about_ca_system_score_gemma":0.00002693387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002722537,"about_ca_topic_score_gemma":0.000009672013,"domain_scores_codex":[0.9988154,0.00001460446,0.000457643,0.0002639393,0.0002364401,0.0002120134],"domain_scores_gemma":[0.9994926,0.00004713695,0.00009207472,0.0002187049,0.00008885372,0.00006065555],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001319564,0.00000920298,1.05205e-7,0.001522716,0.000135202,0.000001110729,0.0008300454,0.002622371,0.02135745,0.000006041195,0.9708444,0.002658141],"study_design_scores_gemma":[0.0002088596,0.00007652599,0.00000516724,0.0005867983,0.00009078976,0.000003534607,0.000008864728,0.03404554,0.00241076,0.0000511783,0.9622294,0.0002825405],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003702594,0.001529995,0.01227334,0.0001809678,0.05093247,0.0007682208,0.0002372571,0.0005136435,0.9298615],"genre_scores_gemma":[0.02180966,0.0002465322,0.0005646274,0.0001889141,0.001921141,0.00008464617,0.0003777248,0.0001601952,0.9746466],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06660201,"threshold_uncertainty_score":0.9999518,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4411055134","doi":"10.1109/miot.2025.3569146","title":"StrawberryTalk-v2: Edged-IoT System for Detection of Strawberry Anthracnose","year":2025,"lang":"en","type":"article","venue":"IEEE Internet of Things Magazine","topic":"Smart Agriculture and AI","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Internet of Things; Computer science; Embedded system","retraction":null,"screen_n_in":null,"score":{"opus":0.009533917577593505,"gpt":0.2245803979684325,"spread":0.215046480390839,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002203431,0.0001648823,0.0003289586,0.00003122181,0.00004880118,0.0000276389,0.0003210159,0.00014272,0.00004054373],"category_scores_gemma":[0.00006037652,0.00006597372,0.0002170518,0.0002707005,0.00006886747,0.000123382,0.0000476547,0.0001147821,0.0000114525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003314895,"about_ca_system_score_gemma":0.000007691002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003391154,"about_ca_topic_score_gemma":0.000258472,"domain_scores_codex":[0.9988929,0.00002987121,0.0004520446,0.0002613031,0.0001633893,0.0002004643],"domain_scores_gemma":[0.9992194,0.000187328,0.0002705166,0.00006958239,0.0002090075,0.00004412832],"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":[0.0001129163,0.0001053299,0.0003889541,0.0002002216,0.00005544804,0.000001195228,0.00009424952,0.000004051674,0.9630162,0.0004145514,0.003915036,0.03169185],"study_design_scores_gemma":[0.0003375802,0.0005566555,0.0175735,0.0004763577,0.00006971139,0.000009187977,0.0003485747,0.0004240883,0.9646513,0.0002152298,0.01516634,0.0001714303],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934826,0.0001990182,0.0004768465,0.0002856577,0.001052115,0.0003424664,0.0000380674,0.00008109157,0.004042102],"genre_scores_gemma":[0.9968286,0.000008053236,0.0001602454,0.00007171657,0.0002007769,0.00001852718,0.0000190926,0.000001304116,0.002691695],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03152042,"threshold_uncertainty_score":0.269033,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}