{"meta":{"query_hash":"99283e8d1ed9","filters":{"venue":"Advanced Intelligent Systems"},"cohort_total":70,"direct_labels_cover":0,"predictions_cover":70,"exported":70,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/99283e8d1ed9","api":"https://metacan.xera.ac/api/v1/cohort?venue=Advanced+Intelligent+Systems"},"results":[{"id":"W2954594665","doi":"10.1002/aisy.201900034","title":"CMOS Compatible Hf<sub>0.5</sub>Zr<sub>0.5</sub>O<sub>2</sub> Ferroelectric Tunnel Junctions for Neuromorphic Devices","year":2019,"lang":"en","type":"article","venue":"Advanced Intelligent Systems","topic":"Advanced Memory and Neural Computing","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada; Bayerische Forschungsallianz; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Neuromorphic engineering; Memristor; Artificial neural network; Materials science; CMOS; Von Neumann architecture; Nucleation; Spiking neural network; Optoelectronics; Computer science; Ferroelectricity; Voltage; Electronic engineering; Artificial intelligence; Electrical engineering; Physics; Engineering","score_opus":0.025578353456723008,"score_gpt":0.2315105384768563,"score_spread":0.20593218502013327,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2954594665","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86704177,0.0024817856,0.11702422,0.00003938594,0.0087872,0.0029807377,0.0000680777,0.0013276936,0.00024911514],"genre_scores_gemma":[0.9968474,0.0010621208,0.00023380466,0.00018075672,0.000667229,0.0004302159,0.00016571814,0.0003446239,0.00006813841],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9944938,0.00019403093,0.0016301234,0.0013416642,0.00065892306,0.0016814831],"domain_scores_gemma":[0.9966925,0.0008014556,0.00054486404,0.0011074304,0.00038098864,0.00047277365],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004472223,0.0011158959,0.0012955919,0.00059933064,0.00058186334,0.00018839704,0.00069316797,0.00033194342,0.000009145393],"category_scores_gemma":[0.00016533687,0.0011874742,0.00050399825,0.0014269389,0.00008648113,0.0009704789,0.00014927132,0.0009804738,0.00089421665],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008628413,0.0000813079,0.00017732667,0.0007943746,0.00011467,0.000016497735,0.00012222391,0.3413831,0.64413255,0.00019386415,0.00038175654,0.012516047],"study_design_scores_gemma":[0.00092396466,0.00048948545,0.0005054466,0.00070098136,0.000119553915,0.00014565553,0.00031326222,0.12577602,0.86463434,0.00020508216,0.0049602706,0.0012259602],"about_ca_topic_score_codex":0.000006420785,"about_ca_topic_score_gemma":0.00005481962,"teacher_disagreement_score":0.22050178,"about_ca_system_score_codex":0.0004971607,"about_ca_system_score_gemma":0.00007456985,"threshold_uncertainty_score":0.9998837},"labels":[],"label_agreement":null},{"id":"W2961410126","doi":"10.1002/aisy.201900019","title":"Toward a Smart Compliant Robotic Gripper Equipped with 3D‐Designed Cellular Fingers","year":2019,"lang":"en","type":"article","venue":"Advanced Intelligent Systems","topic":"Advanced Materials and Mechanics","field":"Engineering","cited_by":62,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Grippers; Soft robotics; Stiffness; Process (computing); 3D printing; Biomimetics; Computer science; Bending; Materials science; Robot; Mechanical engineering; Engineering; Structural engineering; Artificial intelligence","score_opus":0.018416279810359378,"score_gpt":0.21388621709826122,"score_spread":0.19546993728790185,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2961410126","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.107596695,0.0022574395,0.8799498,0.000017368087,0.0051751267,0.001530558,0.000014798789,0.00070548215,0.0027527472],"genre_scores_gemma":[0.9916416,0.00023007925,0.006359245,0.000041569194,0.00010321675,0.00010104384,0.000034248773,0.0001371056,0.0013518998],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99811006,0.00003818171,0.00051642576,0.00041548585,0.00029434141,0.00062548515],"domain_scores_gemma":[0.9990394,0.0000561499,0.000111850495,0.0005421919,0.00008487703,0.00016551554],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00015463102,0.00040740427,0.0006023493,0.000097558426,0.00005580967,0.00006862582,0.0002586697,0.00011535442,0.00016251851],"category_scores_gemma":[0.000011090198,0.00034289036,0.00007876915,0.00018922178,0.00002368183,0.00025365193,0.000041178697,0.00016746526,0.0007740996],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005896564,0.000021898364,0.000024647969,0.00056656695,0.00006848227,0.00002418437,0.00020112246,0.6256733,0.3710416,0.0014865547,0.00007632552,0.00075637014],"study_design_scores_gemma":[0.001934363,0.0010683122,0.000019512468,0.0020044988,0.00012855882,0.00012300676,0.0021692181,0.2893541,0.62698376,0.0003552932,0.07364582,0.0022135826],"about_ca_topic_score_codex":0.000017329758,"about_ca_topic_score_gemma":0.0000036590686,"teacher_disagreement_score":0.8840449,"about_ca_system_score_codex":0.00019490987,"about_ca_system_score_gemma":0.00002214695,"threshold_uncertainty_score":0.9999023},"labels":[],"label_agreement":null},{"id":"W2993612738","doi":"10.1002/aisy.201900105","title":"A Multifunctional Nanocomposite Hydrogel for Endoscopic Tracking and Manipulation","year":2019,"lang":"en","type":"article","venue":"Advanced Intelligent Systems","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Università degli Studi di Verona; Arthritis Society; ReumaNederland; Dutch Arthritis Society","keywords":"Materials science; Nanotechnology; Fabrication; Nanocomposite; Gelatin; Nanoparticle; Nanomaterials; Magnetic nanoparticles; Nanoscopic scale; Iron oxide nanoparticles; Chemistry","score_opus":0.024871170042473984,"score_gpt":0.28233919188125955,"score_spread":0.2574680218387856,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2993612738","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7930963,0.0013303581,0.20177801,0.000015292908,0.0016199987,0.0011850238,0.000007811546,0.00022364665,0.00074357964],"genre_scores_gemma":[0.99701834,0.000066126246,0.0021010987,0.000008307158,0.000095270705,0.00010727835,0.000022009861,0.000033515094,0.00054803735],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990283,0.000012923172,0.00026986096,0.00021101351,0.0002194625,0.00025839187],"domain_scores_gemma":[0.9994141,0.00025993056,0.000032666958,0.00015348908,0.00005859166,0.00008120617],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020103395,0.0001209417,0.00016184137,0.00009873386,0.000047098234,0.000043186803,0.00009246291,0.0000703699,0.000027622773],"category_scores_gemma":[0.000052085463,0.000118157564,0.000039290382,0.00009544265,0.000020886877,0.0001303379,0.000023670103,0.00011388393,0.000107459506],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007332139,0.000052290052,0.02522144,0.002642653,0.00018410444,0.0000032589426,0.00038959738,0.34273937,0.53688514,0.007479072,0.00018523498,0.0841445],"study_design_scores_gemma":[0.0006474025,0.00010992767,0.0027870962,0.00040360005,0.0000094482775,0.000012959147,0.000120439414,0.9010186,0.057686023,0.00028760117,0.03667553,0.00024137959],"about_ca_topic_score_codex":0.000010800424,"about_ca_topic_score_gemma":0.0000016030879,"teacher_disagreement_score":0.5582792,"about_ca_system_score_codex":0.00009692907,"about_ca_system_score_gemma":0.000007673344,"threshold_uncertainty_score":0.48183256},"labels":[],"label_agreement":null},{"id":"W3003478528","doi":"10.1002/aisy.201900165","title":"Textile‐Based Inductive Soft Strain Sensors for Fast Frequency Movement and Their Application in Wearable Devices Measuring Multiaxial Hip Joint Angles during Running","year":2020,"lang":"en","type":"article","venue":"Advanced Intelligent Systems","topic":"Muscle activation and electromyography studies","field":"Engineering","cited_by":52,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Motion capture; Capacitive sensing; Wearable computer; Piezoresistive effect; Match moving; Computer science; Kinematics; Tracking (education); Artificial intelligence; Acoustics; Bending; Simulation; Computer vision; Motion (physics); Engineering; Physics; Electrical engineering; Structural engineering; Embedded system","score_opus":0.030065438294970995,"score_gpt":0.2275939069577788,"score_spread":0.19752846866280782,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3003478528","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.81298524,0.0017098743,0.1832973,0.00008742098,0.00014120871,0.0013834279,0.000026469084,0.00024986468,0.0001191818],"genre_scores_gemma":[0.9981817,0.00008082385,0.0010841154,0.000041985037,0.000096324125,0.0004610223,0.0000108174045,0.000039750143,0.000003452066],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99877906,0.0000247447,0.00041990657,0.0003286942,0.00012524803,0.00032235036],"domain_scores_gemma":[0.999569,0.00005834797,0.00010254575,0.000118981465,0.000068727466,0.00008242295],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012407792,0.00024298576,0.00030471134,0.00015101903,0.000121332276,0.000041891548,0.00008140588,0.000060602724,0.0000020455454],"category_scores_gemma":[0.000036891546,0.0002336287,0.000062061044,0.0002560619,0.00002547676,0.00020954844,0.000016624637,0.00015455199,0.000001006178],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004562543,0.000034864253,0.004709571,0.0011040219,0.00013469512,0.0000010859146,0.004760484,0.30915838,0.642114,0.00022422602,0.000004177694,0.03770885],"study_design_scores_gemma":[0.00136739,0.00016796526,0.020782541,0.00072015834,0.000019979943,0.0000017447595,0.021277545,0.5263796,0.4276945,0.00022041747,0.00059143396,0.0007767724],"about_ca_topic_score_codex":0.00008708997,"about_ca_topic_score_gemma":0.00005771561,"teacher_disagreement_score":0.21722117,"about_ca_system_score_codex":0.00013854356,"about_ca_system_score_gemma":0.000009778764,"threshold_uncertainty_score":0.9527102},"labels":[],"label_agreement":null},{"id":"W3009615583","doi":"10.1002/aisy.201900189","title":"Complementary Metal‐Oxide Semiconductor and Memristive Hardware for Neuromorphic Computing","year":2020,"lang":"en","type":"article","venue":"Advanced Intelligent Systems","topic":"Advanced Memory and Neural Computing","field":"Engineering","cited_by":143,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Institute for Information and Communications Technology Promotion; Engineering and Physical Sciences Research Council; Universität Zürich; Eidgenössische Technische Hochschule Zürich; Leverhulme Trust","keywords":"Neuromorphic engineering; Memristor; CMOS; Computer science; Computer architecture; Spike (software development); Cognitive computing; Noise (video); Electronic engineering; Artificial neural network; Artificial intelligence; Engineering; Cognition; Neuroscience","score_opus":0.07016496878597489,"score_gpt":0.26790065241082667,"score_spread":0.19773568362485178,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3009615583","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6403307,0.0033532968,0.35294843,0.00012337495,0.0011443963,0.0011949154,0.00011516427,0.0006687784,0.0001209587],"genre_scores_gemma":[0.99615526,0.00009444281,0.00300353,0.00030843957,0.00025580756,0.000024555051,0.000054627482,0.00007073901,0.000032601693],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984873,0.000041022307,0.00049939216,0.0004146773,0.00013368748,0.0004239265],"domain_scores_gemma":[0.99915606,0.00029687525,0.000103217826,0.00015732669,0.00006808021,0.00021841718],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00011072292,0.0003008463,0.0004426933,0.000046544897,0.00016074098,0.000038511414,0.00017577378,0.00004446844,0.000009127043],"category_scores_gemma":[0.0000794746,0.00030800505,0.00008372743,0.00014834633,0.000039304625,0.00021648184,0.000079301666,0.00022057368,0.000014559653],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008228124,0.000016427899,0.0003192482,0.0012940011,0.00018370083,0.000032397897,0.0011383404,0.5933253,0.39318052,0.0011134851,0.00078556855,0.008528689],"study_design_scores_gemma":[0.0010648043,0.00037213127,0.00010941386,0.0003670275,0.000096202566,0.00008820394,0.002626044,0.54746157,0.37449983,0.00018006856,0.07216201,0.00097270566],"about_ca_topic_score_codex":0.000004341619,"about_ca_topic_score_gemma":0.0000012117979,"teacher_disagreement_score":0.35582456,"about_ca_system_score_codex":0.00005765646,"about_ca_system_score_gemma":0.0000075452435,"threshold_uncertainty_score":0.9999372},"labels":[],"label_agreement":null},{"id":"W3015876813","doi":"10.1002/aisy.201900181","title":"Modeling and Emulating a Physiotherapist's Role in Robot‐Assisted Rehabilitation","year":2020,"lang":"en","type":"article","venue":"Advanced Intelligent Systems","topic":"Teleoperation and Haptic Systems","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Ministry of Innovation and Advanced Education; Canada Foundation for Innovation","keywords":"Telerehabilitation; Teleoperation; Haptic technology; Rehabilitation; Task (project management); Context (archaeology); Human–computer interaction; Computer science; Robot; Physical medicine and rehabilitation; Impedance control; Psychology; Simulation; Telemedicine; Artificial intelligence; Physical therapy; Health care; Medicine; Engineering","score_opus":0.017076371652633232,"score_gpt":0.24167699478703086,"score_spread":0.22460062313439763,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3015876813","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6015826,0.0059633125,0.38869065,0.00021616358,0.0005728191,0.0010078277,0.000004915973,0.0006125661,0.0013491401],"genre_scores_gemma":[0.9977958,0.00005627938,0.0018822554,0.000048137597,0.00009486857,0.00005608241,0.000005573884,0.000036352856,0.000024633031],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998957,0.00004664986,0.0004712055,0.00022227225,0.00012960764,0.00017328167],"domain_scores_gemma":[0.9996528,0.00006597932,0.000031776788,0.00012325442,0.00004003597,0.00008614287],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010450567,0.00015047428,0.00025284424,0.00006778159,0.0000373752,0.000058196452,0.00006474217,0.00005689198,0.0000068978525],"category_scores_gemma":[0.000058977905,0.00015377947,0.000033587203,0.0001907832,0.000010797803,0.00019429417,0.000010837475,0.000106188934,0.000022855735],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009336772,0.00000763287,0.0003823285,0.00023831878,0.000012071726,9.322277e-7,0.0040584733,0.9504051,0.036273,0.00039398434,0.00000876224,0.008210047],"study_design_scores_gemma":[0.00024852154,0.00004853492,0.0002183768,0.00020082356,0.0000024247424,0.0000030526282,0.0035472384,0.99437547,0.00039786095,0.000021299922,0.0007707334,0.00016569141],"about_ca_topic_score_codex":0.000095705946,"about_ca_topic_score_gemma":0.000029879271,"teacher_disagreement_score":0.3962132,"about_ca_system_score_codex":0.00007953595,"about_ca_system_score_gemma":0.0000064725705,"threshold_uncertainty_score":0.6270945},"labels":[],"label_agreement":null},{"id":"W3022706795","doi":"10.1002/aisy.202000071","title":"Robotics, Smart Wearable Technologies, and Autonomous Intelligent Systems for Healthcare During the COVID‐19 Pandemic: An Analysis of the State of the Art and Future Vision","year":2020,"lang":"en","type":"article","venue":"Advanced Intelligent Systems","topic":"Prosthetics and Rehabilitation Robotics","field":"Engineering","cited_by":308,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Ministry of Economic Development and Trade, Government of Alberta","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; Robotics; Wearable computer; 2019-20 coronavirus outbreak; Artificial intelligence; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Health care; State (computer science); Computer science; State of art; Wearable technology; Human–computer interaction; Robot; Data science; Medicine; Embedded system; Virology; Infectious disease (medical specialty); Political science","score_opus":0.019115616519762617,"score_gpt":0.2649578770272491,"score_spread":0.24584226050748648,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3022706795","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6646371,0.08665302,0.22920112,0.008059426,0.003222781,0.0071107782,0.0005033645,0.0005765053,0.000035898967],"genre_scores_gemma":[0.99438536,0.0050887833,0.0002799303,0.000042653737,0.000030635583,0.000055007753,0.0000063129373,0.000028321885,0.0000830099],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99848086,0.000111324975,0.0006848941,0.00027448335,0.00021819989,0.00023024343],"domain_scores_gemma":[0.9987493,0.00019366619,0.00026322642,0.00054352457,0.0001492294,0.00010105041],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037353951,0.0002007464,0.00045236532,0.000087320775,0.0001894107,0.00004532428,0.00035028483,0.000106285086,7.233905e-7],"category_scores_gemma":[0.00010981838,0.00010874959,0.00012991087,0.00051839004,0.0001900113,0.00007011347,0.00011652156,0.00022044904,4.4446907e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002105654,0.000013833243,0.008228867,0.0013122081,0.00018486162,1.7314483e-7,0.0016975697,0.98356444,0.0011576816,0.0010384388,0.000016401842,0.0027644676],"study_design_scores_gemma":[0.00024855748,0.00023313936,0.0019942317,0.00026394404,0.00023977192,0.000013941342,0.012927754,0.9625869,0.00281123,0.00024889005,0.0181674,0.00026425917],"about_ca_topic_score_codex":0.000074969365,"about_ca_topic_score_gemma":0.00010618392,"teacher_disagreement_score":0.32974824,"about_ca_system_score_codex":0.00013545301,"about_ca_system_score_gemma":0.000036918616,"threshold_uncertainty_score":0.44346794},"labels":[],"label_agreement":null},{"id":"W3036214810","doi":"10.1002/aisy.202000072","title":"Opportunities and Challenges in Soft Robotics","year":2020,"lang":"en","type":"article","venue":"Advanced Intelligent Systems","topic":"Micro and Nano Robotics","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Robotics; Artificial intelligence; Soft robotics; Robot; Computer science; Automation; Conformable matrix; Human–computer interaction; Engineering; Mechanical engineering","score_opus":0.13186500698028958,"score_gpt":0.26846408445205266,"score_spread":0.1365990774717631,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3036214810","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06460002,0.21810918,0.6357395,0.023552062,0.0028774776,0.002998078,0.00011967169,0.00043454382,0.05156949],"genre_scores_gemma":[0.9935949,0.0053312024,0.00052625133,0.000066314955,0.0001757361,0.00000847627,0.000012531749,0.00001998046,0.00026461965],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99922574,0.000030721676,0.00024486126,0.00021656872,0.00008252705,0.00019958941],"domain_scores_gemma":[0.999607,0.000047564587,0.00007360501,0.00012126992,0.000030556697,0.000119995166],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006774362,0.00013653313,0.00023548178,0.000027739268,0.000038657097,0.0000274722,0.00009705012,0.000030597614,0.000054992313],"category_scores_gemma":[0.000005095256,0.00013528255,0.00003329829,0.00004709795,0.000033049546,0.00009318462,0.000045683006,0.00010018294,0.000050352337],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007527653,0.00023361969,0.020100744,0.0009908275,0.00017146803,0.000043634736,0.012623988,0.18809263,0.002174358,0.35956353,0.00096466165,0.41496527],"study_design_scores_gemma":[0.0021542772,0.0006752269,0.00090963417,0.0009956431,0.00009412893,0.000016597085,0.1295638,0.096592724,0.00552734,0.0062451013,0.7551255,0.0021000039],"about_ca_topic_score_codex":0.000041396495,"about_ca_topic_score_gemma":0.0000047667017,"teacher_disagreement_score":0.9289949,"about_ca_system_score_codex":0.000010507128,"about_ca_system_score_gemma":0.000020094894,"threshold_uncertainty_score":0.55166626},"labels":[],"label_agreement":null},{"id":"W3049415719","doi":"10.1002/aisy.202000123","title":"Covalent and Noncovalent Functionalization of Graphene Oxide with DNA for Smart Sensing","year":2020,"lang":"en","type":"article","venue":"Advanced Intelligent Systems","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":87,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biosensor; Graphene; Physisorption; Nanotechnology; Adsorption; Nanomaterials; Surface modification; Oxide; Materials science; DNA; Biomolecule; Interfacing; Covalent bond; Chemistry; Computer science; Organic chemistry; Biochemistry","score_opus":0.017128828146209103,"score_gpt":0.25725234504998895,"score_spread":0.24012351690377984,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3049415719","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34797385,0.00081815076,0.65049803,0.00009949317,0.000063562264,0.00043749635,0.000028444409,0.00003183834,0.000049146198],"genre_scores_gemma":[0.9844988,0.00043024242,0.014577909,0.00016408783,0.000080154576,0.000011198507,0.0001380401,0.000022927292,0.00007661481],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99902475,0.000032089858,0.00030840363,0.00035406312,0.00013618906,0.00014453319],"domain_scores_gemma":[0.9992686,0.000020772102,0.00020405733,0.00017299235,0.00025773654,0.00007582568],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010596834,0.00015835885,0.00023146997,0.000039682942,0.000058147587,0.00001200927,0.000053612326,0.00007212306,3.6477917e-7],"category_scores_gemma":[0.000057920955,0.00012824472,0.00007517101,0.00012807456,0.00007979241,0.000006323901,0.000028846845,0.000036056193,3.5237616e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043045034,0.000027020624,0.0010892238,0.0001916095,0.00013642569,0.0000010180884,0.000030620413,0.0019426559,0.9926448,0.0003153755,0.00013640233,0.003054437],"study_design_scores_gemma":[0.0003118906,0.0007399402,0.000079057114,0.000105552564,0.00006396666,0.000018126048,0.00028300151,0.0022859264,0.97690624,0.000041959043,0.018969791,0.00019456021],"about_ca_topic_score_codex":0.000009832471,"about_ca_topic_score_gemma":0.000009338818,"teacher_disagreement_score":0.636525,"about_ca_system_score_codex":0.000013152909,"about_ca_system_score_gemma":0.00002144266,"threshold_uncertainty_score":0.5229668},"labels":[],"label_agreement":null},{"id":"W3081302630","doi":"10.1002/aisy.202000115","title":"In‐Memory Vector‐Matrix Multiplication in Monolithic Complementary Metal–Oxide–Semiconductor‐Memristor Integrated Circuits: Design Choices, Challenges, and Perspectives","year":2020,"lang":"en","type":"article","venue":"Advanced Intelligent Systems","topic":"Advanced Memory and Neural Computing","field":"Engineering","cited_by":211,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut interdisciplinaire d'innovation technologique; Université de Sherbrooke; University of Toronto","funders":"European Research Council; Natural Sciences and Engineering Research Council of Canada; National Tsing Hua University; Centre National de la Recherche Scientifique; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Von Neumann architecture; Bottleneck; Resistive random-access memory; Matrix multiplication; In-Memory Processing; Computer architecture; Crossbar switch; Key (lock); Memristor; Integrated circuit; Supercomputer; Massively parallel; CMOS; Context (archaeology); Memory bandwidth; Parallel computing; Embedded system; Electronic engineering; Electrical engineering; Engineering; Telecommunications; Search engine","score_opus":0.09113227362423608,"score_gpt":0.2852373357719019,"score_spread":0.19410506214766582,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3081302630","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.73731273,0.19240573,0.0650924,0.00033866666,0.0010073335,0.0027488116,0.000028921158,0.00075177307,0.00031359468],"genre_scores_gemma":[0.9929159,0.0057622097,0.0009039514,0.000056434004,0.00012857141,0.00011911524,0.000018753692,0.0000673466,0.000027669957],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99780154,0.00019599152,0.0007494118,0.0006371396,0.00017887885,0.00043702166],"domain_scores_gemma":[0.99905884,0.00030005543,0.00013736669,0.00027225606,0.000064679596,0.00016677116],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00028323333,0.0003906542,0.0005678787,0.00021859648,0.00005651609,0.00002523885,0.00025206074,0.000111210335,0.0000118840135],"category_scores_gemma":[0.0001326674,0.00041123276,0.000055547356,0.00038232323,0.00005306822,0.00061173405,0.00006978821,0.00053913635,0.000021796279],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000095106014,0.00009433,0.00018621478,0.0009098929,0.00009745514,0.000057821697,0.015758494,0.49830323,0.4633138,0.0011372218,0.00004630521,0.020000128],"study_design_scores_gemma":[0.0042144647,0.00065683393,0.0026019446,0.0019192079,0.00008518406,0.0001323601,0.07478254,0.5834382,0.31468955,0.0007674816,0.013817963,0.00289428],"about_ca_topic_score_codex":0.00007334038,"about_ca_topic_score_gemma":0.00004695692,"teacher_disagreement_score":0.2556032,"about_ca_system_score_codex":0.0004744959,"about_ca_system_score_gemma":0.000021851029,"threshold_uncertainty_score":0.99983394},"labels":[],"label_agreement":null},{"id":"W3089403702","doi":"10.1002/aisy.202000148","title":"Liquid Crystal Polymer‐Based Soft Robots","year":2020,"lang":"en","type":"article","venue":"Advanced Intelligent Systems","topic":"Advanced Materials and Mechanics","field":"Engineering","cited_by":148,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; China Scholarship Council","keywords":"Reconfigurability; Robot; Soft robotics; Adaptability; Computer science; Soft materials; Liquid crystal; Artificial intelligence; Nanotechnology; Materials science; Mechanical engineering; Control engineering; Engineering","score_opus":0.018590830271348915,"score_gpt":0.22380269135144157,"score_spread":0.20521186108009265,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3089403702","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.019342925,0.0046721706,0.9699455,0.00009098944,0.0032495495,0.0004725817,0.000047463207,0.0011508516,0.0010279624],"genre_scores_gemma":[0.99756485,0.00017066026,0.0013095735,0.00026310972,0.0003578658,0.000062613646,0.000031471376,0.0001046246,0.00013521146],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99861187,0.000023600549,0.00045447866,0.0002950939,0.00020314792,0.00041182298],"domain_scores_gemma":[0.99932146,0.000039509767,0.000070789574,0.0002634051,0.00004865146,0.00025620713],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000059294754,0.00028515045,0.00036174429,0.000045260622,0.000055303146,0.00004101268,0.00021358272,0.00009713492,0.00009427619],"category_scores_gemma":[0.00003457098,0.00028525587,0.000088907225,0.00017111881,0.000016813523,0.00018451415,0.00003341176,0.00013609466,0.00024179702],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006286877,0.0000102778895,0.0000012048617,0.00024216699,0.000019938207,0.000011204438,0.0000900331,0.55048406,0.44666243,0.0011535052,0.00020795698,0.0010543566],"study_design_scores_gemma":[0.00029511625,0.00027768547,5.1066274e-7,0.00012755321,0.000015938267,0.000005873314,0.00024812273,0.16076815,0.7707339,0.000032903776,0.067052625,0.00044160348],"about_ca_topic_score_codex":0.000005782595,"about_ca_topic_score_gemma":0.000001296232,"teacher_disagreement_score":0.97822195,"about_ca_system_score_codex":0.00007962279,"about_ca_system_score_gemma":0.0000197893,"threshold_uncertainty_score":0.99995995},"labels":[],"label_agreement":null},{"id":"W3095083641","doi":"10.1002/aisy.202000200","title":"Inverse Pneumatic Artificial Muscles for Application in Low‐Cost Ventilators","year":2020,"lang":"en","type":"article","venue":"Advanced Intelligent Systems","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Mechanical ventilator; Mechanical ventilation; Tidal volume; Volume (thermodynamics); Artificial respiration; Pipeline (software); Ventilation (architecture); Range (aeronautics); Computer science; Automotive engineering; Mechanical engineering; Engineering; Medicine; Anesthesia; Respiratory system; Physics","score_opus":0.031798926854432176,"score_gpt":0.25335539264164636,"score_spread":0.2215564657872142,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3095083641","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.45268813,0.00018225706,0.54391015,0.00003413614,0.001224225,0.001201018,0.000028456752,0.0004698896,0.0002617136],"genre_scores_gemma":[0.9981093,0.000060074144,0.0010740227,0.00004062054,0.000199975,0.00038672664,0.000046150235,0.000058410988,0.000024751376],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988053,0.000020963646,0.0005456504,0.00024459182,0.00010497265,0.000278511],"domain_scores_gemma":[0.9995289,0.00007579844,0.000079182995,0.00017434308,0.00003420302,0.00010758081],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009844982,0.00018397285,0.00029065975,0.00006793931,0.000039700262,0.00003527826,0.00013230859,0.00007024286,0.0000065661475],"category_scores_gemma":[0.000097052936,0.00019751533,0.000056576893,0.00019501135,0.00001921455,0.00017227832,0.0000138043015,0.0000769879,0.00012189406],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024357027,0.000012813353,0.00008258754,0.00054485025,0.00001016467,0.000001653046,0.00030599535,0.92353815,0.06639894,0.0010675413,0.000039446782,0.007973505],"study_design_scores_gemma":[0.00033062664,0.000055001252,0.000088469074,0.00035888696,0.000015493526,0.000002949185,0.0009268198,0.7869352,0.18666005,0.0007125434,0.02341203,0.0005019431],"about_ca_topic_score_codex":0.000016804377,"about_ca_topic_score_gemma":0.000029892306,"teacher_disagreement_score":0.5454211,"about_ca_system_score_codex":0.00009309323,"about_ca_system_score_gemma":0.000007071306,"threshold_uncertainty_score":0.8054441},"labels":[],"label_agreement":null},{"id":"W3098874384","doi":"10.1002/aisy.202000158","title":"Admittance‐Controlled Robotic Assistant for Fibula Osteotomies in Mandible Reconstruction Surgery","year":2020,"lang":"en","type":"article","venue":"Advanced Intelligent Systems","topic":"Reconstructive Surgery and Microvascular Techniques","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Agence Nationale de la Recherche; Canada Foundation for Innovation","keywords":"Fibula; Mandible (arthropod mouthpart); Robot; Computer science; Artificial intelligence; Haptic technology; Surgical planning; Computer vision; Orthodontics; Surgery; Medicine; Tibia","score_opus":0.04121988965911305,"score_gpt":0.28470869631840745,"score_spread":0.2434888066592944,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3098874384","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7112535,0.013180143,0.2589987,0.0009919278,0.0034308834,0.00940201,0.000035925586,0.0006002276,0.002106667],"genre_scores_gemma":[0.99372995,0.00080944557,0.0037520293,0.00020007258,0.0002232795,0.0007337096,0.000045543,0.00005163443,0.00045431606],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9976954,0.00012471901,0.001056159,0.0005270282,0.00019243412,0.00040428602],"domain_scores_gemma":[0.99849296,0.000506424,0.00032311413,0.00028986137,0.00020536166,0.00018230721],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000556776,0.0002884283,0.0013884238,0.00027285435,0.00007167057,0.00003721541,0.00008291199,0.00015047866,0.00005119315],"category_scores_gemma":[0.00064905867,0.00025122578,0.00052880985,0.0003556854,0.000081959166,0.00023330224,0.000018967045,0.00020673413,0.000023427836],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.038212188,0.00086918415,0.2758324,0.011283433,0.0031826235,0.00076300977,0.0018124385,0.015206218,0.2307737,0.0065428247,0.005933617,0.40958837],"study_design_scores_gemma":[0.024459494,0.0025019422,0.005458989,0.0129396925,0.0010886884,0.0032146175,0.008972568,0.045581296,0.7586149,0.0019029285,0.13196555,0.0032993024],"about_ca_topic_score_codex":0.000019411726,"about_ca_topic_score_gemma":0.000008422853,"teacher_disagreement_score":0.5278412,"about_ca_system_score_codex":0.00020061072,"about_ca_system_score_gemma":0.00013315737,"threshold_uncertainty_score":0.999994},"labels":[],"label_agreement":null},{"id":"W3111750080","doi":"10.1002/aisy.202000186","title":"Magnetically Controlled Soft Robotics Utilizing Elastomers and Gels in Actuation: A Review","year":2020,"lang":"en","type":"review","venue":"Advanced Intelligent Systems","topic":"Micro and Nano Robotics","field":"Physics and Astronomy","cited_by":187,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Soft robotics; Actuator; Robotics; Elastomer; Robot; Artificial intelligence; Grippers; Computer science; Soft materials; Artificial muscle; Mechanical engineering; Materials science; Medical robotics; Nanotechnology; Engineering; Composite material","score_opus":0.03224238069842368,"score_gpt":0.3225262260586035,"score_spread":0.2902838453601798,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3111750080","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[3.6344352e-7,0.9668545,0.027107166,0.000055666478,0.00050632877,0.0036229065,0.00003701767,0.000035115874,0.0017809484],"genre_scores_gemma":[0.00014012566,0.99788517,0.00062069035,0.0000623768,0.00024858228,0.0003008644,0.00011760771,0.000080758204,0.0005438454],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99660665,0.0002455767,0.0017836605,0.00064757315,0.0002603364,0.00045622367],"domain_scores_gemma":[0.99802643,0.000502579,0.0007546377,0.00040043893,0.00009952,0.00021638311],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00034847704,0.00066455995,0.003762372,0.00015016498,0.00006449351,0.00008225446,0.00030715903,0.00015488929,0.00013431559],"category_scores_gemma":[0.000078121986,0.0005448442,0.00050485844,0.00044137257,0.000059289403,0.00010233279,0.00011192738,0.0005460233,0.00020290323],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015912497,0.000054054788,0.000008952899,0.029386623,0.0002262539,0.000011356411,0.000043190743,0.0004120553,0.0000021916642,0.005284052,0.00018298981,0.96437234],"study_design_scores_gemma":[0.0005951134,0.00006932144,1.596482e-7,0.059158485,0.000755055,0.000011739364,0.00009697866,0.00036117254,0.0000012684623,0.000047777063,0.93840814,0.0004948223],"about_ca_topic_score_codex":0.000015588206,"about_ca_topic_score_gemma":0.0000015400932,"teacher_disagreement_score":0.96387756,"about_ca_system_score_codex":0.00012000987,"about_ca_system_score_gemma":0.00028604784,"threshold_uncertainty_score":0.9997003},"labels":[],"label_agreement":null},{"id":"W3129382303","doi":"10.1002/aisy.202000229","title":"Human–Machine Collaboration for Automated Driving Using an Intelligent Two‐Phase Haptic Interface","year":2021,"lang":"en","type":"article","venue":"Advanced Intelligent Systems","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"State Key Laboratory of Automotive Safety and Energy; National Natural Science Foundation of China; Nanyang Technological University","keywords":"Haptic technology; Human–machine system; Computer science; Interface (matter); Human–computer interaction; Control (management); Smoothness; Torque; Driving simulator; Human–machine interface; Automation; Steering wheel; Simulation; Engineering; Artificial intelligence; Automotive engineering","score_opus":0.06437668381603019,"score_gpt":0.46047922891818677,"score_spread":0.3961025451021566,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3129382303","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.32208094,0.0012141345,0.6619938,0.00013535254,0.008920868,0.0016367133,0.00010149728,0.0012755797,0.0026411216],"genre_scores_gemma":[0.9915642,0.00001554445,0.0023542568,0.00016855047,0.00031880685,0.00024897986,0.00033885913,0.00010055539,0.0048902263],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9964415,0.00049767917,0.0014121217,0.00081511313,0.00030962515,0.00052398595],"domain_scores_gemma":[0.9972038,0.00021021134,0.0005955704,0.0008022831,0.00094309624,0.00024503862],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005299517,0.00040538266,0.0005610705,0.00028783563,0.00046573646,0.0002817841,0.00028655666,0.00017139377,0.0018339099],"category_scores_gemma":[0.00018221847,0.00043042854,0.00017507188,0.00049952854,0.000062240244,0.00060475554,0.000059674803,0.00026791226,0.000383495],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00061917026,0.004494446,0.00047591876,0.00048942986,0.0011903597,0.00012908412,0.029369289,0.41587403,0.4318872,0.091907345,0.006050149,0.017513571],"study_design_scores_gemma":[0.002544993,0.00064906303,0.00005191603,0.00043507962,0.0001082604,0.00018389123,0.026603987,0.853323,0.033791464,0.00021407547,0.081342645,0.00075165],"about_ca_topic_score_codex":0.0001307002,"about_ca_topic_score_gemma":0.00030056655,"teacher_disagreement_score":0.66948324,"about_ca_system_score_codex":0.0005303022,"about_ca_system_score_gemma":0.000104122104,"threshold_uncertainty_score":0.99981475},"labels":[],"label_agreement":null},{"id":"W3136656899","doi":"10.1002/aisy.202100003","title":"Soft Bionic Sensors and Actuators","year":2021,"lang":"en","type":"article","venue":"Advanced Intelligent Systems","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Actuator; Soft robotics; Computer science; Engineering; Human–computer interaction; Computer vision; Artificial intelligence","score_opus":0.013787720512309034,"score_gpt":0.2290896809416887,"score_spread":0.21530196042937966,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3136656899","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8968204,0.0058060666,0.08885874,0.00002368249,0.0036648533,0.00018377918,0.000019945557,0.00088737975,0.0037351511],"genre_scores_gemma":[0.99552625,0.0012709376,0.0014748488,0.000021113647,0.0001355222,0.000015840196,0.000018480368,0.000058552796,0.0014784462],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99894893,0.0000368439,0.00033131154,0.0002559468,0.00012156296,0.00030541408],"domain_scores_gemma":[0.9994147,0.000094857896,0.000040389292,0.00026403487,0.000063096624,0.00012294318],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000733083,0.00020707551,0.00027911877,0.00005385128,0.000068842266,0.00006687317,0.00006738228,0.00007796681,0.000041281917],"category_scores_gemma":[0.00008973204,0.00020520037,0.000041835887,0.00014864255,0.00003468269,0.00016253274,0.000028160963,0.000093172755,0.00012163961],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009801142,0.000017850203,0.0001853083,0.00035340784,0.00008801529,0.0000857032,0.00027250097,0.82463264,0.1482001,0.0039961343,0.00016366759,0.021994896],"study_design_scores_gemma":[0.00042897457,0.000059198446,0.00016940675,0.00046269278,0.000040635245,0.0004124073,0.0016920245,0.037301768,0.7454388,0.0008836371,0.2121055,0.0010049581],"about_ca_topic_score_codex":0.0000092381815,"about_ca_topic_score_gemma":0.00000471167,"teacher_disagreement_score":0.78733087,"about_ca_system_score_codex":0.00006068582,"about_ca_system_score_gemma":0.000010726451,"threshold_uncertainty_score":0.8367828},"labels":[],"label_agreement":null},{"id":"W3166517841","doi":"10.1002/aisy.202100043","title":"Smart Textiles that Teach: Fabric‐Based Haptic Device Improves the Rate of Motor Learning","year":2021,"lang":"en","type":"article","venue":"Advanced Intelligent Systems","topic":"Tactile and Sensory Interactions","field":"Neuroscience","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"National Centre of Competence in Research Robotics","keywords":"Haptic technology; Motor learning; Motor skill; Work (physics); Control (management); Rehabilitation; Motor control; Motion (physics)","score_opus":0.05800654506675323,"score_gpt":0.29839179969997376,"score_spread":0.24038525463322052,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3166517841","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9643078,0.00068798696,0.02137214,0.00068066013,0.0038528764,0.0010055327,0.000039522987,0.00025648953,0.0077970102],"genre_scores_gemma":[0.9895636,0.00013898325,0.000065112064,0.0004077917,0.00007507416,0.000066116474,0.0000053821714,0.00003454405,0.009643416],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9978729,0.0005520758,0.00048649116,0.00047726574,0.00027245612,0.00033881268],"domain_scores_gemma":[0.99705464,0.0018066517,0.00036920625,0.00052710186,0.00015964783,0.000082728555],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014760766,0.00022290049,0.00031249193,0.000092425376,0.0003143272,0.000111860194,0.00031166774,0.00006393501,0.00009607472],"category_scores_gemma":[0.0014072199,0.00016489827,0.00018312843,0.0003212245,0.000108290624,0.00028837056,0.000057790257,0.00040172087,0.00019520507],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041697716,0.0000827266,0.00031459398,0.0000820962,0.000018421966,0.00002391748,0.00038779646,0.0085742,0.98640126,0.001003202,0.00006413135,0.0030059349],"study_design_scores_gemma":[0.0001329585,0.00010214922,0.00015515814,0.00015846822,0.000025772722,0.000048872032,0.0045003206,0.022543479,0.8716992,0.000029236451,0.10042722,0.00017716506],"about_ca_topic_score_codex":0.00012313217,"about_ca_topic_score_gemma":0.000029089346,"teacher_disagreement_score":0.11470208,"about_ca_system_score_codex":0.00007108086,"about_ca_system_score_gemma":0.00007724839,"threshold_uncertainty_score":0.67243564},"labels":[],"label_agreement":null},{"id":"W3186541188","doi":"10.1002/aisy.202100012","title":"Photoresponsive Biomimetic Soft Robots Enabled by Near‐Infrared‐Driven and Ultrarobust Sandwich‐Structured Nanocomposite Films","year":2021,"lang":"en","type":"article","venue":"Advanced Intelligent Systems","topic":"Advanced Materials and Mechanics","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"National Natural Science Foundation of China; Fundamental Research Funds for the Central Universities; National Science Foundation","keywords":"Creatures; Smart material; Materials science; Nanocomposite; Soft robotics; Soft materials; Nanotechnology; Polyimide; Robot; Biomimetics; Computer science; Artificial intelligence","score_opus":0.0061018262667184705,"score_gpt":0.2070044153141205,"score_spread":0.20090258904740205,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3186541188","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.58866334,0.034738727,0.36313602,0.000035538644,0.008471126,0.0020617219,0.0005795116,0.0011917113,0.0011223154],"genre_scores_gemma":[0.97885454,0.0025573364,0.015935551,0.00010807817,0.000112145426,0.00013648391,0.0002467135,0.00016710932,0.0018820171],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9981292,0.00007504981,0.0005586057,0.00049160584,0.00021757901,0.0005279724],"domain_scores_gemma":[0.99895626,0.000127995,0.00011570718,0.00044360792,0.00015895249,0.0001974906],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00008525409,0.00041747736,0.000581645,0.000068575886,0.00015798213,0.00017886593,0.00017744131,0.00019010894,0.00013862125],"category_scores_gemma":[0.00007254401,0.00041337544,0.0000861497,0.00024658506,0.000052742314,0.00025404157,0.00006643759,0.00017954862,0.00004130069],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048490187,0.00001689016,0.000016322596,0.00024492558,0.00008827476,0.000053217056,0.00022773346,0.16500019,0.83168006,0.00016289743,0.0013594048,0.0011015853],"study_design_scores_gemma":[0.0005973295,0.000075907374,0.000013515543,0.00026054838,0.000045388613,0.00018416755,0.0005358983,0.036269527,0.9209102,0.00020260525,0.040354643,0.0005503013],"about_ca_topic_score_codex":0.0000130805975,"about_ca_topic_score_gemma":0.0000044735025,"teacher_disagreement_score":0.39019123,"about_ca_system_score_codex":0.00010318607,"about_ca_system_score_gemma":0.00004206477,"threshold_uncertainty_score":0.9998318},"labels":[],"label_agreement":null},{"id":"W4213166039","doi":"10.1002/aisy.202100251","title":"A Wirelessly Controlled Shape‐Memory Alloy‐Based Bistable Metal Swimming Device","year":2022,"lang":"en","type":"article","venue":"Advanced Intelligent Systems","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates; University of Alberta","keywords":"Bistability; Actuator; Shape-memory alloy; Morphing; Computer science; STRIPS; Preprint; Materials science; Mechanical engineering; Engineering; Optoelectronics; Computer graphics (images); Artificial intelligence","score_opus":0.019183480088382717,"score_gpt":0.23429212610578573,"score_spread":0.215108646017403,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4213166039","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9323052,0.0061652176,0.04101988,0.000029135275,0.008054161,0.001628577,0.00011012567,0.0022370296,0.008450681],"genre_scores_gemma":[0.9950841,0.000054422686,0.0011620584,0.00010065039,0.00016683395,0.00070680573,0.00007487974,0.00014452418,0.0025057227],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99741524,0.00018581792,0.0008629369,0.00043508562,0.00045593458,0.00064500596],"domain_scores_gemma":[0.9988044,0.00029591017,0.00019194503,0.00046513206,0.00008591218,0.00015670835],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00046356316,0.0004142258,0.0008441617,0.00019960481,0.00035979436,0.000085262975,0.0003709244,0.000064425716,0.00034558566],"category_scores_gemma":[0.000101581056,0.00042505155,0.00019055394,0.00035962378,0.00003532906,0.00026304708,0.000078256366,0.00027801006,0.00010879637],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015812056,0.000041989257,0.000017183234,0.000160801,0.00009907639,0.00003847488,0.00011837899,0.8885819,0.109006904,0.00043056227,0.00006319061,0.0012834357],"study_design_scores_gemma":[0.0031351373,0.00017252147,0.000010535832,0.0001552039,0.00009079402,0.000062891195,0.0017970348,0.80570215,0.059987396,0.000038736303,0.12788886,0.0009587365],"about_ca_topic_score_codex":0.00008656586,"about_ca_topic_score_gemma":0.0000111219815,"teacher_disagreement_score":0.12782566,"about_ca_system_score_codex":0.00034089453,"about_ca_system_score_gemma":0.000037687965,"threshold_uncertainty_score":0.9998201},"labels":[],"label_agreement":null},{"id":"W4220847857","doi":"10.1002/aisy.202200001","title":"Memristors with Initial Low‐Resistive State for Efficient Neuromorphic Systems","year":2022,"lang":"en","type":"article","venue":"Advanced Intelligent Systems","topic":"Advanced Memory and Neural Computing","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Key Laboratory of Advanced Functional Materials of Jiangsu Province; Collaborative Innovation Center of Suzhou Nano Science and Technology; King Abdullah University of Science and Technology; Priority Academic Program Development of Jiangsu Higher Education Institutions; State Administration of Foreign Experts Affairs; Technology Agency of the Czech Republic; Ministry of Science and Technology of the People's Republic of China; National Natural Science Foundation of China","keywords":"Neuromorphic engineering; Memristor; Initialization; Computer science; Artificial neural network; Resistive touchscreen; Process (computing); Electronic engineering; Computer architecture; Artificial intelligence; Engineering","score_opus":0.02395605729753216,"score_gpt":0.24069489455032042,"score_spread":0.21673883725278825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220847857","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5397571,0.0026643144,0.44711247,0.000009962359,0.006613467,0.0023807192,0.0002078489,0.0007741037,0.0004800212],"genre_scores_gemma":[0.9983076,0.00002395912,0.00017424478,0.000023931463,0.0001651499,0.00068599475,0.000041982894,0.000115483024,0.00046168183],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.997936,0.000109416455,0.0005594193,0.0004512478,0.00038762458,0.0005563078],"domain_scores_gemma":[0.99893314,0.00030744215,0.00017357341,0.00033898753,0.0001059877,0.00014089346],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002482706,0.0003453993,0.00043832388,0.00015567122,0.00045056545,0.000047700098,0.0002825421,0.00003193275,0.0000107396345],"category_scores_gemma":[0.000030573403,0.00033048788,0.00009243308,0.00033478288,0.000046135945,0.00010471219,0.00007386842,0.0003500229,0.000015410824],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021137441,0.000036820824,0.0000112394255,0.00037826688,0.00005252409,0.000057573827,0.00031978812,0.9929354,0.0045799227,0.00037660284,0.00014040738,0.00090006134],"study_design_scores_gemma":[0.0013113398,0.0012841284,0.000019891588,0.00039493392,0.000060258586,0.00029474474,0.0031221528,0.8788985,0.044275176,0.00005018462,0.06912659,0.0011621079],"about_ca_topic_score_codex":0.000012762818,"about_ca_topic_score_gemma":0.0000020698608,"teacher_disagreement_score":0.45855048,"about_ca_system_score_codex":0.00038537473,"about_ca_system_score_gemma":0.000030475054,"threshold_uncertainty_score":0.9999147},"labels":[],"label_agreement":null},{"id":"W4241572027","doi":"10.1002/aisy.202170040","title":"Human–Machine Collaboration for Automated Driving Using an Intelligent Two‐Phase Haptic Interface","year":2021,"lang":"en","type":"article","venue":"Advanced Intelligent Systems","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Haptic technology; Computer science; Interface (matter); Human–machine interface; Control (management); Torque; Human–computer interaction; Human–machine system; Automation; Simulation; Engineering; Artificial intelligence; Operating system; Mechanical engineering","score_opus":0.06437668381603019,"score_gpt":0.46047922891818677,"score_spread":0.3961025451021566,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4241572027","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.32208094,0.0012141345,0.6619938,0.00013535254,0.008920868,0.0016367133,0.00010149728,0.0012755797,0.0026411216],"genre_scores_gemma":[0.9915642,0.00001554445,0.0023542568,0.00016855047,0.00031880685,0.00024897986,0.00033885913,0.00010055539,0.0048902263],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9964415,0.00049767917,0.0014121217,0.00081511313,0.00030962515,0.00052398595],"domain_scores_gemma":[0.9972038,0.00021021134,0.0005955704,0.0008022831,0.00094309624,0.00024503862],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005299517,0.00040538266,0.0005610705,0.00028783563,0.00046573646,0.0002817841,0.00028655666,0.00017139377,0.0018339099],"category_scores_gemma":[0.00018221847,0.00043042854,0.00017507188,0.00049952854,0.000062240244,0.00060475554,0.000059674803,0.00026791226,0.000383495],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00061917026,0.004494446,0.00047591876,0.00048942986,0.0011903597,0.00012908412,0.029369289,0.41587403,0.4318872,0.091907345,0.006050149,0.017513571],"study_design_scores_gemma":[0.002544993,0.00064906303,0.00005191603,0.00043507962,0.0001082604,0.00018389123,0.026603987,0.853323,0.033791464,0.00021407547,0.081342645,0.00075165],"about_ca_topic_score_codex":0.0001307002,"about_ca_topic_score_gemma":0.00030056655,"teacher_disagreement_score":0.66948324,"about_ca_system_score_codex":0.0005303022,"about_ca_system_score_gemma":0.000104122104,"threshold_uncertainty_score":0.99981475},"labels":[],"label_agreement":null},{"id":"W4245434960","doi":"10.1002/aisy.201970032","title":"Toward a Smart Compliant Robotic Gripper Equipped with 3D‐Designed Cellular Fingers","year":2019,"lang":"en","type":"article","venue":"Advanced Intelligent Systems","topic":"Modular Robots and Swarm Intelligence","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Actuator; Soft robotics; 3d printed; Puncturing; 3D printing; Computer science; Truss; Robot; Mechanical engineering; Artificial intelligence; Engineering; Structural engineering; Biomedical engineering","score_opus":0.021645268032373186,"score_gpt":0.21890983869395364,"score_spread":0.19726457066158046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4245434960","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06697638,0.00385114,0.914919,0.000036409103,0.0033337967,0.0016725704,0.000008392271,0.0006571964,0.008545111],"genre_scores_gemma":[0.99368477,0.00021916353,0.003129269,0.000056698886,0.00009724073,0.000094872696,0.000029912619,0.00013670608,0.002551339],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974286,0.00006389943,0.0006752187,0.0005755945,0.00048179436,0.0007749215],"domain_scores_gemma":[0.998642,0.00009220653,0.00011652014,0.0007953431,0.00012834814,0.00022557843],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00023250561,0.0005111198,0.0006791085,0.00016441659,0.000080600264,0.00011643334,0.00045865984,0.00014490474,0.00034994737],"category_scores_gemma":[0.000015003047,0.0004222415,0.00012821908,0.0003327199,0.000057796893,0.00027210786,0.00004843823,0.0003129861,0.001798441],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048169466,0.000038696373,0.0005174616,0.00053374586,0.00014360511,0.00004840596,0.00051378267,0.95677143,0.037231266,0.0014215292,0.00023616833,0.0024957499],"study_design_scores_gemma":[0.0009775687,0.00095604936,0.00013151874,0.0018992139,0.000120058,0.00016104116,0.002160849,0.7998957,0.14875078,0.00014300547,0.042440586,0.0023636196],"about_ca_topic_score_codex":0.00007140815,"about_ca_topic_score_gemma":0.000009245628,"teacher_disagreement_score":0.9267084,"about_ca_system_score_codex":0.00022485404,"about_ca_system_score_gemma":0.000030395886,"threshold_uncertainty_score":0.9998229},"labels":[],"label_agreement":null},{"id":"W4280547844","doi":"10.1002/aisy.202100284","title":"Efficient and Explainable Deep Neural Networks for Airway Symptom Detection in Support of Wearable Health Technology","year":2022,"lang":"en","type":"article","venue":"Advanced Intelligent Systems","topic":"Voice and Speech Disorders","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research; Canada Research Chairs; Centre for Research on Brain, Language and Music","keywords":"Computer science; Wearable computer; Microphone; Wearable technology; Artificial neural network; Deep neural networks; Software deployment; Transparency (behavior); Artificial intelligence; Machine learning; Speech recognition; Human–computer interaction; Embedded system; Computer security","score_opus":0.012260570767436148,"score_gpt":0.27964790187922545,"score_spread":0.2673873311117893,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4280547844","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83403677,0.014514908,0.14539865,0.0012021533,0.0010519524,0.0034614142,0.000011445932,0.000116321324,0.00020639117],"genre_scores_gemma":[0.9986072,0.00024334145,0.00015685629,0.00016800157,0.000023213797,0.0004695323,0.000014097603,0.000023722756,0.0002940325],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985997,0.00004970855,0.0004976942,0.00029259527,0.00017412234,0.00038617264],"domain_scores_gemma":[0.999391,0.00006152855,0.000189232,0.00022083845,0.00006558335,0.00007179114],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042463216,0.00012880891,0.00041510476,0.0003320679,0.0001482663,0.0000054371903,0.00007639025,0.00006145178,0.00001884207],"category_scores_gemma":[0.000047968326,0.00012856482,0.000055908116,0.00047086424,0.000042896398,0.00003140763,0.000052119292,0.00022025351,0.0000011838202],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044868363,0.00027079153,0.0034321034,0.00058839837,0.000034989655,0.000010276255,0.0006070232,0.93922204,0.0014892474,0.00045067095,0.00008919963,0.053356554],"study_design_scores_gemma":[0.0021574267,0.004631145,0.00017818676,0.00013006473,0.000028899587,0.00020302553,0.021465497,0.9450854,0.004980674,0.000063949774,0.02083898,0.00023675417],"about_ca_topic_score_codex":0.00015174529,"about_ca_topic_score_gemma":0.000076535616,"teacher_disagreement_score":0.16457044,"about_ca_system_score_codex":0.00023706593,"about_ca_system_score_gemma":0.00004374878,"threshold_uncertainty_score":0.5242721},"labels":[],"label_agreement":null},{"id":"W4283754586","doi":"10.1002/aisy.202200093","title":"Robots as Energy Systems: Advances in Robotics across Scales and Technologies","year":2022,"lang":"en","type":"article","venue":"Advanced Intelligent Systems","topic":"Dielectric materials and actuators","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Robot; Robotics; Key (lock); Computer science; Artificial intelligence; Energy (signal processing); Human–computer interaction; Systems engineering; Data science; Engineering; Computer security; Physics","score_opus":0.0059159021345556425,"score_gpt":0.2282001678091039,"score_spread":0.22228426567454826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283754586","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3983135,0.51328784,0.06463976,0.0001113345,0.01304553,0.0016399246,0.00014600535,0.0033416748,0.0054743984],"genre_scores_gemma":[0.9884167,0.0108570475,0.0001081661,0.000008444207,0.000038407357,0.00028889868,0.000010682269,0.000043446285,0.00022820965],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985007,0.000048496146,0.00048341102,0.00028748848,0.00022711625,0.00045280973],"domain_scores_gemma":[0.99951017,0.00008167522,0.00008682582,0.0002504843,0.00002451355,0.000046314784],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019197066,0.00023686765,0.00039384278,0.00014402895,0.00013669599,0.00009275523,0.0002551362,0.000073196876,0.000007713102],"category_scores_gemma":[0.00003593075,0.00023182962,0.000032946646,0.0003507539,0.000046464724,0.00024524052,0.00013692187,0.00016296186,0.000008356199],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011725092,0.000020056705,0.00013379504,0.00023875436,0.00001682124,0.00002174704,0.00012483497,0.9586522,0.00093512004,0.007899622,0.0000578393,0.031887494],"study_design_scores_gemma":[0.0010811696,0.0007121079,0.00007909473,0.00079692586,0.000029345852,0.00043853885,0.04453637,0.29569745,0.04998582,0.0042757313,0.6000665,0.0023009651],"about_ca_topic_score_codex":0.00011155339,"about_ca_topic_score_gemma":0.00003325357,"teacher_disagreement_score":0.66295475,"about_ca_system_score_codex":0.00018995498,"about_ca_system_score_gemma":0.000008889454,"threshold_uncertainty_score":0.9453737},"labels":[],"label_agreement":null},{"id":"W4307676274","doi":"10.1002/aisy.202200189","title":"Novel Grasping Mechanisms of 3D‐Printed Prosthetic Hands","year":2022,"lang":"en","type":"article","venue":"Advanced Intelligent Systems","topic":"Muscle activation and electromyography studies","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Prosthetic hand; Gesture; Function (biology); Motion (physics); Human–computer interaction; Computer science; Artificial limbs; Amputation; 3d printed; Prosthesis; Artificial intelligence; Engineering; Biomedical engineering; Medicine","score_opus":0.014526542363217628,"score_gpt":0.22383048681382225,"score_spread":0.20930394445060463,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4307676274","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.076675855,0.001267153,0.91608423,0.000024833345,0.0013885872,0.00079866045,0.000013280814,0.0004471507,0.003300258],"genre_scores_gemma":[0.9987298,0.00006897515,0.00066599296,0.000019452733,0.000017229948,0.00023392997,0.000010494718,0.000034783137,0.00021933137],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99892676,0.000022230512,0.00037446947,0.00017402547,0.0002549383,0.00024754845],"domain_scores_gemma":[0.9995555,0.00003546613,0.00008925577,0.00022029632,0.000060338403,0.000039098417],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013460011,0.0001547755,0.00024979908,0.00019145927,0.00013747874,0.000011342266,0.00016352265,0.000024001676,0.000048506867],"category_scores_gemma":[0.000014085916,0.00016183467,0.0000772697,0.00040770296,0.000020467822,0.00007011848,0.00005546605,0.00016101247,0.0000023480293],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034443696,0.00011323449,0.00017188463,0.0003391534,0.00024474028,0.0000020073635,0.0007063298,0.49964765,0.45442078,0.01817616,0.00024219017,0.025901426],"study_design_scores_gemma":[0.002060588,0.0013597233,0.0015955118,0.00041540942,0.00008650201,0.00011864647,0.009175409,0.18080454,0.75588757,0.0019059463,0.04513602,0.0014541368],"about_ca_topic_score_codex":0.000023845703,"about_ca_topic_score_gemma":0.000002727642,"teacher_disagreement_score":0.92205393,"about_ca_system_score_codex":0.00010558345,"about_ca_system_score_gemma":0.000011147769,"threshold_uncertainty_score":0.6599427},"labels":[],"label_agreement":null},{"id":"W4308909100","doi":"10.1002/aisy.202200229","title":"Adaptive 3D Printing for In Situ Adjustment of Mechanical Properties","year":2022,"lang":"en","type":"article","venue":"Advanced Intelligent Systems","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Extrusion; 3D printing; Consistency (knowledge bases); Convolutional neural network; Computer science; Fused deposition modeling; Deep learning; Artificial intelligence; Variance (accounting); Engineering drawing; Mechanical engineering; Materials science; Engineering; Composite material","score_opus":0.034003736113956046,"score_gpt":0.23745783840133008,"score_spread":0.20345410228737404,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4308909100","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7433572,0.003829163,0.24591653,0.00003114138,0.0019824158,0.0022383123,0.00004789718,0.001066047,0.0015312955],"genre_scores_gemma":[0.9951595,0.000054895638,0.0038813963,0.00000406921,0.000028317114,0.0007283899,0.0000053045724,0.000031641248,0.00010645126],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989206,0.00003545705,0.00041223137,0.00020965263,0.00015956438,0.0002624994],"domain_scores_gemma":[0.9995398,0.00009724163,0.00008930113,0.00021710547,0.000036143327,0.00002039122],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024257581,0.00015071886,0.00027861595,0.00014310746,0.000061158906,0.000006426327,0.00023599814,0.000041768682,0.000009427654],"category_scores_gemma":[0.0000787566,0.00014396549,0.0000634849,0.00012485536,0.00002728911,0.000053666492,0.00016749703,0.00021550669,0.0000033199024],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000074268435,0.000071783856,0.000035247635,0.00043697347,0.00007894132,0.0000030788756,0.000604612,0.87371063,0.049213544,0.0073482418,0.00007983445,0.06834284],"study_design_scores_gemma":[0.0002737108,0.0002842666,0.00008518615,0.00023401872,0.000010614198,0.000006464119,0.0065848455,0.07158505,0.9123376,0.0005663293,0.007759585,0.00027230347],"about_ca_topic_score_codex":0.000021310792,"about_ca_topic_score_gemma":0.0000067637397,"teacher_disagreement_score":0.8631241,"about_ca_system_score_codex":0.00022036559,"about_ca_system_score_gemma":0.000010251822,"threshold_uncertainty_score":0.5870742},"labels":[],"label_agreement":null},{"id":"W4321443790","doi":"10.1002/aisy.202200361","title":"Artificial‐Intelligence‐Powered Lower Limb Assistive Devices: Future of Home Care Technologies","year":2023,"lang":"en","type":"article","venue":"Advanced Intelligent Systems","topic":"Prosthetics and Rehabilitation Robotics","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Canada Foundation for Innovation","keywords":"Robotics; Motion (physics); Human–computer interaction; Exoskeleton; Computer science; Artificial intelligence; Robot; Simulation","score_opus":0.015565151277926003,"score_gpt":0.2548603450810198,"score_spread":0.23929519380309378,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4321443790","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3639987,0.12826057,0.43303323,0.0010249336,0.045737263,0.0059835804,0.0007193661,0.013845097,0.007397244],"genre_scores_gemma":[0.9968328,0.0019030399,0.0009064292,0.000004358424,0.000085059364,0.000072751136,0.000039296414,0.00005498753,0.00010129753],"study_design_codex":"simulation_or_modeling","study_design_gemma":"qualitative","domain_scores_codex":[0.9983509,0.000026153315,0.0006884217,0.00028819064,0.00028510133,0.00036121072],"domain_scores_gemma":[0.99889046,0.00015697698,0.00012146729,0.00048471542,0.00028948646,0.000056871555],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000134689,0.00025789085,0.00039258867,0.00031019878,0.00007243154,0.00003495795,0.0003232119,0.00021435946,0.000012492799],"category_scores_gemma":[0.000060494396,0.00022671912,0.00014582585,0.00083869917,0.00011472302,0.00009878414,0.00005872675,0.00020508646,0.00022064845],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036119545,0.000053176285,0.000411386,0.0013302856,0.00012453452,0.000015479114,0.0016977494,0.8559008,0.0038587525,0.014877299,0.00018974043,0.12150468],"study_design_scores_gemma":[0.00026286216,0.0022465268,0.001659044,0.0025956265,0.00016646484,0.000024958843,0.35229626,0.17457588,0.30318055,0.013742969,0.14629748,0.0029513526],"about_ca_topic_score_codex":0.0000047564927,"about_ca_topic_score_gemma":0.00001162008,"teacher_disagreement_score":0.6813249,"about_ca_system_score_codex":0.00012662953,"about_ca_system_score_gemma":0.000022490658,"threshold_uncertainty_score":0.9245337},"labels":[],"label_agreement":null},{"id":"W4327590907","doi":"10.1002/aisy.202200370","title":"Fluid‐Driven High‐Performance Bionic Artificial Muscle with Adjustable Muscle Architecture","year":2023,"lang":"en","type":"article","venue":"Advanced Intelligent Systems","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"Innovation and Technology Commission - Hong Kong; Innovation and Technology Fund; Tianjin University","keywords":"Muscle architecture; Artificial muscle; Sarcomere; Skeletal muscle; Exoskeleton; Myofilament; Robotics; Computer science; Artificial intelligence; Biomedical engineering; Actuator; Robot; Anatomy; Simulation; Engineering; Myocyte; Biology","score_opus":0.01613794616984892,"score_gpt":0.21546037640053742,"score_spread":0.1993224302306885,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4327590907","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9667056,0.00030289017,0.027206423,0.000022501159,0.0023146956,0.00040520573,0.000041788808,0.0020773294,0.0009235216],"genre_scores_gemma":[0.99645716,0.0004185824,0.0012616734,0.000015979853,0.00035828902,0.000119238335,0.00012427977,0.00013742107,0.001107406],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9980097,0.00004215112,0.0005048219,0.00041022972,0.00030007339,0.0007330594],"domain_scores_gemma":[0.99909383,0.000087841065,0.000083426676,0.00050605746,0.000077433426,0.00015138561],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00014452483,0.0003676296,0.00041611306,0.00021529444,0.00017876743,0.00008177992,0.0002554391,0.0001150988,0.000040160176],"category_scores_gemma":[0.00003123395,0.0003162342,0.00005395177,0.0006973451,0.00006435028,0.0002892803,0.00004474302,0.0001970476,0.0009475436],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021595262,0.000011215234,0.00002536349,0.0002224614,0.000029138737,0.000015006529,0.0001444421,0.8366293,0.14723717,0.00041628905,0.000118962525,0.015129065],"study_design_scores_gemma":[0.0009270435,0.00063376897,0.0035714894,0.001539224,0.00008409697,0.00007814367,0.0013077368,0.34693494,0.48636127,0.00059901545,0.15563679,0.0023264815],"about_ca_topic_score_codex":0.000051740317,"about_ca_topic_score_gemma":0.000033255776,"teacher_disagreement_score":0.48969433,"about_ca_system_score_codex":0.0001224746,"about_ca_system_score_gemma":0.000019594097,"threshold_uncertainty_score":0.99992895},"labels":[],"label_agreement":null},{"id":"W4366429764","doi":"10.1002/aisy.202300008","title":"Efficient Memristive Stochastic Differential Equation Solver","year":2023,"lang":"en","type":"article","venue":"Advanced Intelligent Systems","topic":"Advanced Memory and Neural Computing","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Solver; Computer science; Backward Euler method; Linearization; Memristor; Applied mathematics; Stochastic differential equation; Path (computing); Mathematical optimization; Algorithm; Mathematics; Euler equations; Nonlinear system; Mathematical analysis; Electronic engineering; Physics","score_opus":0.03153170485912957,"score_gpt":0.2594757090707506,"score_spread":0.22794400421162106,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366429764","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.32285216,0.00025598312,0.6720875,0.000005090142,0.0030427852,0.00035998886,0.0000078244375,0.0010030773,0.00038559953],"genre_scores_gemma":[0.99912447,0.000024073155,0.00008582777,0.000006093846,0.00022955381,0.000052779404,0.000031670632,0.00004945627,0.00039606678],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998677,0.000029891004,0.00036923436,0.00026932402,0.00024490044,0.00040963566],"domain_scores_gemma":[0.99937713,0.00019520835,0.000061915925,0.00021778992,0.00005393817,0.00009401216],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000103056314,0.00022173575,0.00024004879,0.00014868226,0.00012494175,0.00002966786,0.00013799388,0.000059545626,0.000022745391],"category_scores_gemma":[0.000059699676,0.00021363106,0.000075300944,0.00038784303,0.000025419393,0.00006373654,0.000045166405,0.00017854504,0.0006295834],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012650987,0.000009024882,0.000003861604,0.00007242911,0.000021525986,0.0000070201377,0.00024746585,0.97433275,0.02033142,0.0007433944,0.00007833982,0.004140129],"study_design_scores_gemma":[0.00016635215,0.00003798996,0.00005183466,0.00014556437,0.00001234348,0.000005771624,0.00039413155,0.98072857,0.017571775,0.0001355862,0.0004937055,0.0002563991],"about_ca_topic_score_codex":0.000002320059,"about_ca_topic_score_gemma":6.55652e-7,"teacher_disagreement_score":0.67627233,"about_ca_system_score_codex":0.00012630536,"about_ca_system_score_gemma":0.0000063600764,"threshold_uncertainty_score":0.87116224},"labels":[],"label_agreement":null},{"id":"W4366721636","doi":"10.1002/aisy.202200284","title":"Energy in Robotics: An Interdisciplinary Challenge","year":2023,"lang":"en","type":"article","venue":"Advanced Intelligent Systems","topic":"Modular Robots and Swarm Intelligence","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canada Research Chairs; University of Toronto; University of New Brunswick","funders":"","keywords":"Robot; Robotics; Artificial intelligence; Software deployment; Computer science; Metric (unit); Energy (signal processing); Matching (statistics); Human–computer interaction; Engineering; Operations management; Mathematics; Software engineering","score_opus":0.02764084665304784,"score_gpt":0.28872577556798523,"score_spread":0.2610849289149374,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366721636","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.077143945,0.0114372475,0.86130273,0.00027006152,0.012339218,0.0011401701,0.000032290416,0.0042310636,0.03210327],"genre_scores_gemma":[0.99634564,0.0021978486,0.00023902378,0.000012982559,0.00016741193,0.000105491374,0.000046827055,0.00008334721,0.000801439],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982606,0.000052695876,0.00056111754,0.00037460844,0.00022301127,0.0005279776],"domain_scores_gemma":[0.9991964,0.000056552897,0.00004152342,0.0005162088,0.000041588966,0.00014769632],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00021988314,0.00027056993,0.00033791835,0.0003581424,0.000063357875,0.000045988,0.00036606836,0.00012149193,0.00003466729],"category_scores_gemma":[0.000008704163,0.00026770035,0.00006907208,0.0005186515,0.000031194882,0.0002967859,0.000120345925,0.00019339411,0.0004008723],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000075171606,0.000035804358,0.0000630915,0.00010163249,0.000019292926,0.00007286677,0.0008984856,0.93720067,0.0006646144,0.012057349,0.00023557118,0.04864314],"study_design_scores_gemma":[0.0001256394,0.00015947901,0.00008837747,0.00029920076,0.0000053425256,0.000017188173,0.0028503642,0.9783151,0.0035391331,0.0033254868,0.010754753,0.00051993155],"about_ca_topic_score_codex":0.00005641008,"about_ca_topic_score_gemma":0.00019605194,"teacher_disagreement_score":0.9192017,"about_ca_system_score_codex":0.00014741672,"about_ca_system_score_gemma":0.000009474952,"threshold_uncertainty_score":0.9999775},"labels":[],"label_agreement":null},{"id":"W4367367779","doi":"10.1002/aisy.202300015","title":"A 3D‐Printed Computer","year":2023,"lang":"en","type":"article","venue":"Advanced Intelligent Systems","topic":"Neural Networks and Reservoir Computing","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; CMC Microsystems","keywords":"Computer science; Computation; Context (archaeology); 3d printed; Data stream mining; Computer hardware; Artificial intelligence; Data mining; Engineering","score_opus":0.02445448199373834,"score_gpt":0.2672090180352963,"score_spread":0.24275453604155794,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4367367779","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01823387,0.0003786487,0.97296715,0.00033866835,0.005315035,0.00037679556,9.49765e-7,0.0013740024,0.0010148989],"genre_scores_gemma":[0.9775412,0.000173398,0.019081702,0.00026044188,0.0005000079,0.000039158767,0.000008752257,0.000033235236,0.002362117],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99799097,0.000094809046,0.00044155715,0.000557066,0.00034520053,0.0005703966],"domain_scores_gemma":[0.9986906,0.00019997379,0.00013361173,0.0007154312,0.000112244794,0.00014815782],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00031432207,0.00020806976,0.0002679587,0.0001802719,0.00018297748,0.00022799513,0.0010933308,0.00006330614,0.000005696141],"category_scores_gemma":[0.00001859627,0.00017147926,0.00010659258,0.0011608178,0.000028389259,0.0003105471,0.0006296794,0.00019668613,0.0010812284],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000067936344,0.000039911214,0.00037083312,0.000082059254,0.000046952435,0.00015741854,0.000351716,0.7894458,0.0008104025,0.027960788,0.006555851,0.17417146],"study_design_scores_gemma":[0.00011350046,0.00007396472,0.00030452924,0.00014480243,0.0000016676966,0.000035773774,0.000035965477,0.93385935,0.00046296453,0.00029825207,0.06444768,0.00022157331],"about_ca_topic_score_codex":0.00002076005,"about_ca_topic_score_gemma":0.0000020301668,"teacher_disagreement_score":0.9593073,"about_ca_system_score_codex":0.000050763883,"about_ca_system_score_gemma":0.000020935891,"threshold_uncertainty_score":0.99969655},"labels":[],"label_agreement":null},{"id":"W4367679094","doi":"10.1002/aisy.202300052","title":"3D Printing of Multilayer Magnetic Miniature Soft Robots with Programmable Magnetization","year":2023,"lang":"en","type":"article","venue":"Advanced Intelligent Systems","topic":"Micro and Nano Robotics","field":"Physics and Astronomy","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Robot; Magnetization; Magnetic nanoparticles; 3D printing; Robustness (evolution); Actuator; Computer science; Magnetic field; Soft robotics; Planar; Torque; Nanotechnology; Mechanical engineering; Nanoparticle; Composite material; Engineering; Physics; Artificial intelligence; Computer graphics (images)","score_opus":0.009846834829985024,"score_gpt":0.2391173351298533,"score_spread":0.22927050029986829,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4367679094","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5311121,0.0019328193,0.45214337,0.00007358511,0.0015837991,0.003609568,0.00006063912,0.00048182977,0.009002341],"genre_scores_gemma":[0.9847025,0.000023650193,0.0070042727,0.0000053239382,0.00013412988,0.00007123329,0.000086800086,0.000044966677,0.007927095],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99873215,0.000034393728,0.00039729866,0.00028495965,0.00020108887,0.00035013337],"domain_scores_gemma":[0.9991798,0.000063090636,0.00023498431,0.0002842177,0.00017117955,0.00006672193],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000122062556,0.00019384222,0.0002733706,0.00010138346,0.00007218156,0.00003871231,0.00014913692,0.000050227452,0.00008611413],"category_scores_gemma":[0.000009215489,0.00015933054,0.000061240855,0.00050973037,0.000037199658,0.00010322228,0.000046068093,0.00011592753,0.00011073516],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010026904,0.00027462846,0.06827966,0.0006712448,0.000137246,0.00000767832,0.0013892776,0.7532542,0.03247426,0.0042386455,0.00058583624,0.13858707],"study_design_scores_gemma":[0.005248891,0.002961675,0.008630941,0.004363365,0.00051464426,0.000028192933,0.015054121,0.43378025,0.26899055,0.0008467335,0.2560701,0.0035105047],"about_ca_topic_score_codex":0.00006766942,"about_ca_topic_score_gemma":0.0000041488984,"teacher_disagreement_score":0.45359048,"about_ca_system_score_codex":0.000018088345,"about_ca_system_score_gemma":0.00003566061,"threshold_uncertainty_score":0.6497311},"labels":[],"label_agreement":null},{"id":"W4377966199","doi":"10.1002/aisy.202200345","title":"Recent Progress of Optical Imaging Approaches for Noncontact Physiological Signal Measurement: A Review","year":2023,"lang":"en","type":"review","venue":"Advanced Intelligent Systems","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Biotechnology and Biological Sciences Research Council; Medical Research Council; Directorate for Biological Sciences; National Natural Science Foundation of China; British Heart Foundation; Young Scientists Fund; Hope Foundation","keywords":"Hyperspectral imaging; Optical imaging; Computer science; SIGNAL (programming language); Signal processing; Medical imaging; Computer vision; Artificial intelligence; Optics; Telecommunications; Physics","score_opus":0.2333515545378397,"score_gpt":0.3496160007520423,"score_spread":0.1162644462142026,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4377966199","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[4.6135065e-7,0.9692702,0.022261012,0.000004830019,0.0016761124,0.006049193,0.000075697724,0.00041441835,0.00024802337],"genre_scores_gemma":[0.00014995689,0.99421763,0.0008661834,0.0000032739222,0.0005445267,0.0038303784,0.00011592193,0.0002503461,0.000021773105],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99577415,0.00016509909,0.0019357876,0.0007036314,0.00069900346,0.00072230067],"domain_scores_gemma":[0.99800634,0.0003767941,0.0005158879,0.0005854872,0.00032617972,0.00018928897],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0010488566,0.0008331854,0.0032303303,0.00019781884,0.000057620222,0.00004524249,0.0006283148,0.00022978196,0.000008485676],"category_scores_gemma":[0.00028782856,0.0006613735,0.00085853215,0.0005912945,0.00008712772,0.00014255143,0.00011309649,0.00045995053,0.00010215349],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000049399546,0.000041281564,0.0000013279356,0.2328879,0.00038733686,0.000008549226,0.0000099847475,0.0005262658,0.000077608674,0.00016295805,0.00028852935,0.7656033],"study_design_scores_gemma":[0.0001242647,0.00011229802,2.1860998e-7,0.24660474,0.00065704016,0.000022602206,0.00004401234,0.00044109978,0.00048541132,0.000032955457,0.75074303,0.0007322971],"about_ca_topic_score_codex":0.0000013947757,"about_ca_topic_score_gemma":5.604062e-7,"teacher_disagreement_score":0.764871,"about_ca_system_score_codex":0.000796379,"about_ca_system_score_gemma":0.00010618724,"threshold_uncertainty_score":0.9995837},"labels":[],"label_agreement":null},{"id":"W4378070985","doi":"10.1002/aisy.202300025","title":"Hybrid Piezoelectric–Magnetic Self‐Sensing Actuator using Novel Dual‐Alignment Magnetic/Mechanical Processing for Vibration Control of Whole‐Body Vibrations","year":2023,"lang":"en","type":"article","venue":"Advanced Intelligent Systems","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Piezoelectricity; Vibration; Crystallinity; Polyvinylidene fluoride; Actuator; Acoustics; Nanogenerator; Nanotechnology; Optoelectronics; Composite material; Polymer; Electrical engineering; Engineering; Physics","score_opus":0.020078687359042297,"score_gpt":0.24955768123934383,"score_spread":0.22947899388030152,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378070985","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12302906,0.0005369398,0.87334657,0.000018892393,0.0011571248,0.0009915321,0.000095303265,0.00076157,0.000063002364],"genre_scores_gemma":[0.9710306,0.00007386961,0.02819461,0.00002102678,0.0002743318,0.00008574353,0.000086339016,0.000125297,0.00010817732],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99766326,0.000051810737,0.0009934921,0.00039879998,0.00031525083,0.0005773809],"domain_scores_gemma":[0.9988511,0.00026815772,0.0002290251,0.00030553294,0.00021556718,0.00013062201],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00028563783,0.000354417,0.00055289455,0.000247433,0.00020848097,0.00010972174,0.00013183683,0.00010587087,0.000008646484],"category_scores_gemma":[0.00017711896,0.0003713624,0.00011028355,0.00044409875,0.000032784803,0.00035192206,0.000025302741,0.00010681052,0.000021998521],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021252219,0.000023135975,0.0000011234516,0.0002782275,0.000023195918,0.0000021069764,0.000080228085,0.4194242,0.5744236,0.00052702916,0.000013237069,0.0051826737],"study_design_scores_gemma":[0.0005326581,0.00019036408,0.0000049856662,0.00024615813,0.00006536261,0.000029519642,0.00015642497,0.70662165,0.29004383,0.00023249011,0.0015844145,0.00029212295],"about_ca_topic_score_codex":0.000013294825,"about_ca_topic_score_gemma":0.00000199535,"teacher_disagreement_score":0.84800154,"about_ca_system_score_codex":0.00019611094,"about_ca_system_score_gemma":0.00004962507,"threshold_uncertainty_score":0.9998738},"labels":[],"label_agreement":null},{"id":"W4382515262","doi":"10.1002/aisy.202300050","title":"EmoSense: Revealing True Emotions Through Microgestures","year":2023,"lang":"en","type":"article","venue":"Advanced Intelligent Systems","topic":"Emotion and Mood Recognition","field":"Psychology","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"Hong Kong Government; Hong Kong Polytechnic University","keywords":"Stress (linguistics); Emotion detection; Capacitive sensing; Computer science; Random forest; Wearable computer; Artificial intelligence; Emotion recognition; Embedded system","score_opus":0.06817276192545263,"score_gpt":0.36913025681407313,"score_spread":0.3009574948886205,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382515262","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6716692,0.0060856324,0.09514286,0.0016969241,0.03805584,0.0030849145,0.00020985781,0.0035445828,0.18051022],"genre_scores_gemma":[0.96672213,0.0004365202,0.00047926136,0.000339838,0.0004585291,0.00013125606,0.0002135205,0.00006143051,0.03115754],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981973,0.00020097147,0.00051773037,0.00044733213,0.00019101542,0.00044563037],"domain_scores_gemma":[0.9990266,0.00015797939,0.00016780793,0.0004330036,0.00012326732,0.000091373935],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00026964615,0.00020799875,0.00026702898,0.0001669454,0.00020423184,0.000042436415,0.00015675282,0.00016145602,0.00045260627],"category_scores_gemma":[0.0000761726,0.00019816258,0.00014053026,0.0005769972,0.000052780935,0.00012882234,0.000032951793,0.00021628736,0.007872995],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030867592,0.0010916725,0.002454937,0.00090628024,0.0012619906,0.00055901695,0.0385853,0.013153216,0.09047141,0.20954067,0.47298068,0.16868614],"study_design_scores_gemma":[0.001345525,0.0003362865,0.0040019583,0.0008837278,0.00010093965,0.00047539276,0.0348223,0.00041780298,0.02082445,0.005454608,0.9302788,0.0010582267],"about_ca_topic_score_codex":0.00012333768,"about_ca_topic_score_gemma":0.000021637086,"teacher_disagreement_score":0.4572981,"about_ca_system_score_codex":0.00005851545,"about_ca_system_score_gemma":0.0000143631305,"threshold_uncertainty_score":0.9928995},"labels":[],"label_agreement":null},{"id":"W4382515298","doi":"10.1002/aisy.202300093","title":"Soft Bio‐Microrobots: Toward Biomedical Applications","year":2023,"lang":"en","type":"article","venue":"Advanced Intelligent Systems","topic":"Micro and Nano Robotics","field":"Physics and Astronomy","cited_by":45,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"European Research Council; China Scholarship Council; European Commission","keywords":"Biomimetics; Flexibility (engineering); Creatures; Nanotechnology; Biological motion; Soft materials; Computer science; Engineering; Biochemical engineering; Human–computer interaction; Artificial intelligence; Motion (physics); Biology; Natural (archaeology); Materials science; Mathematics","score_opus":0.022012590593875222,"score_gpt":0.2884388511102048,"score_spread":0.26642626051632956,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382515298","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004452367,0.00062595395,0.9881152,0.00023581041,0.0012548493,0.000916251,0.00012390065,0.00036449227,0.003911169],"genre_scores_gemma":[0.9921793,0.000086941,0.0007932357,0.00004171892,0.0007043457,0.00031503517,0.00045751932,0.00004798579,0.0053739715],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99857575,0.000030761657,0.00043698205,0.00034685814,0.00019196996,0.00041767734],"domain_scores_gemma":[0.9991762,0.000088843546,0.00012312071,0.00037294909,0.00007758628,0.00016128653],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00014283585,0.00019401695,0.00025732987,0.00014529613,0.00013310467,0.000049969054,0.00028737533,0.00006064892,0.00019156425],"category_scores_gemma":[0.0000056676463,0.00017609369,0.000121672,0.00065340014,0.00007324802,0.00008614762,0.00008202711,0.00013995254,0.003825255],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006398428,0.0011630412,0.018762425,0.0007679086,0.00086370314,0.000023857072,0.0029518977,0.044040732,0.17665449,0.23319006,0.06944837,0.45206955],"study_design_scores_gemma":[0.00029799732,0.00005367907,0.00008089072,0.000099830315,0.00003141894,0.000003585675,0.0019327695,0.0035103417,0.014934073,0.0016819319,0.9769674,0.00040609963],"about_ca_topic_score_codex":0.00006819826,"about_ca_topic_score_gemma":5.332883e-7,"teacher_disagreement_score":0.98772687,"about_ca_system_score_codex":0.000044797423,"about_ca_system_score_gemma":0.00005146455,"threshold_uncertainty_score":0.9969504},"labels":[],"label_agreement":null},{"id":"W4383621304","doi":"10.1002/aisy.202300168","title":"Actuation of Mobile Microbots: A Review","year":2023,"lang":"en","type":"review","venue":"Advanced Intelligent Systems","topic":"Micro and Nano Robotics","field":"Physics and Astronomy","cited_by":58,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hyperion Technologies (Canada)","funders":"","keywords":"Miniaturization; Computer science; Robotics; Actuator; Focus (optics); Human–computer interaction; Robot; Systems engineering; Nanotechnology; Artificial intelligence; Engineering; Materials science; Physics","score_opus":0.06394426723293903,"score_gpt":0.38029695344115333,"score_spread":0.31635268620821433,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4383621304","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[4.225597e-7,0.9851421,0.010228235,0.0000014266031,0.0009323402,0.0028371173,0.00020434629,0.00005149556,0.0006024933],"genre_scores_gemma":[0.0000069075986,0.9949155,0.00012323359,0.000005875032,0.00023606264,0.00056397973,0.0006719101,0.00009670742,0.0033798337],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99736094,0.00012080432,0.0016069448,0.00041187432,0.00020121117,0.0002982062],"domain_scores_gemma":[0.9976375,0.00021788226,0.0012815605,0.00063737755,0.00015032187,0.00007535077],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00030718715,0.00044861733,0.0024121848,0.00015188764,0.00004318889,0.000019693642,0.00038530162,0.00011570044,0.00017523594],"category_scores_gemma":[0.000013842973,0.0003612116,0.00073279743,0.00056121463,0.000031937754,0.00007106128,0.00008292682,0.00024295619,0.0011006631],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[8.4437755e-7,0.00005393431,9.665463e-7,0.12663686,0.00031479026,9.3612624e-7,0.000026954,0.0002306082,0.000010090715,0.0009357048,0.0024254983,0.86936283],"study_design_scores_gemma":[0.000038345937,0.00003160051,1.1901686e-8,0.15488876,0.0005353644,0.0000024140043,0.000053920823,0.000008327557,0.00004814017,0.000039510793,0.8440853,0.00026830632],"about_ca_topic_score_codex":0.000046208334,"about_ca_topic_score_gemma":5.421801e-7,"teacher_disagreement_score":0.8690945,"about_ca_system_score_codex":0.00008774077,"about_ca_system_score_gemma":0.00017866713,"threshold_uncertainty_score":0.999884},"labels":[],"label_agreement":null},{"id":"W4385496344","doi":"10.1002/aisy.202300136","title":"A Review of Graphene‐Based Memristive Neuromorphic Devices and Circuits","year":2023,"lang":"en","type":"review","venue":"Advanced Intelligent Systems","topic":"Advanced Memory and Neural Computing","field":"Engineering","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Neuromorphic engineering; Memristor; Graphene; Computer science; Computer architecture; Electronic circuit; Nanotechnology; Fabrication; Electronic engineering; Materials science; Artificial neural network; Artificial intelligence; Electrical engineering; Engineering","score_opus":0.12243179940503678,"score_gpt":0.3364787428254537,"score_spread":0.2140469434204169,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385496344","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000005373147,0.99053746,0.0058264267,0.0000018154694,0.0012477875,0.0016883991,0.0000799352,0.00045424912,0.00015856275],"genre_scores_gemma":[0.00015794084,0.99917513,0.000057404228,0.000039206087,0.000099340614,0.00018222709,0.00007535431,0.0001662636,0.00004710987],"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","domain_scores_codex":[0.9972404,0.00018001247,0.0014275407,0.00052396837,0.00024115662,0.00038687777],"domain_scores_gemma":[0.9979283,0.0007673515,0.00056564034,0.0004908955,0.00010909611,0.00013871999],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00031871675,0.0006409664,0.0025169905,0.00028282133,0.000064587446,0.000019481779,0.000341073,0.00016504434,0.0000063270527],"category_scores_gemma":[0.00015700521,0.00056214916,0.00038019769,0.000883155,0.00006423808,0.00011220164,0.00006558429,0.0004572853,0.000049890958],"study_design_candidate":"systematic_review","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[8.659363e-7,0.000007139515,4.6354072e-7,0.6066885,0.00012294023,0.00002473512,0.000010166806,0.0032414084,0.000008607119,0.0000803799,0.00009037177,0.38972443],"study_design_scores_gemma":[0.000049524235,0.000047340047,2.3228677e-7,0.40052593,0.00033033016,0.000046822337,0.000014240897,0.0007013809,0.00006753063,0.000014003459,0.59778214,0.00042054703],"about_ca_topic_score_codex":0.0000030571807,"about_ca_topic_score_gemma":0.0000015108004,"teacher_disagreement_score":0.5976917,"about_ca_system_score_codex":0.000073126714,"about_ca_system_score_gemma":0.000045731525,"threshold_uncertainty_score":0.999683},"labels":[],"label_agreement":null},{"id":"W4386022625","doi":"10.1002/aisy.202300204","title":"An Intelligent Wristband for Simultaneous Multiparameter Measurement during Fumigation and Washing Therapy of Traditional Chinese Medicine","year":2023,"lang":"en","type":"article","venue":"Advanced Intelligent Systems","topic":"Advanced Chemical Sensor Technologies","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministry of Agriculture","funders":"National Natural Science Foundation of China","keywords":"Traditional Chinese medicine; Computer science; Wearable computer; Biomedical engineering; Traditional medicine; Materials science; Nanotechnology; Artificial intelligence; Medicine; Embedded system; Alternative medicine","score_opus":0.05172835312640675,"score_gpt":0.2805459648640276,"score_spread":0.22881761173762086,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386022625","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9363569,0.0024588872,0.058854148,0.000028241215,0.00052616285,0.00087380665,0.000032983084,0.00082462735,0.000044220833],"genre_scores_gemma":[0.9965908,0.0019201424,0.0010445692,0.000005752707,0.00013750099,0.00016920733,0.000055723274,0.00006080196,0.00001548921],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99834377,0.000020357695,0.00061459356,0.0003307245,0.0003738354,0.0003167082],"domain_scores_gemma":[0.99875546,0.0005443737,0.00011652968,0.0003013457,0.00019176131,0.000090533285],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017883608,0.00027860128,0.00040626383,0.00018811089,0.00007507032,0.000018555114,0.00018919919,0.00011749011,0.000005552137],"category_scores_gemma":[0.0005571076,0.00022863787,0.000060087084,0.00029346155,0.0001129347,0.00021153702,0.000015784373,0.00014719304,0.0000039495644],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000056472403,0.000023388246,0.000100988276,0.0002528827,0.000051803472,0.000001999068,0.00037296713,0.41514912,0.57327545,0.000113694325,0.000017611359,0.010583625],"study_design_scores_gemma":[0.00061756675,0.00026628523,0.00018562165,0.0003174704,0.000009934605,0.000010969027,0.0010970439,0.32034698,0.67394584,0.0020393736,0.0008627046,0.0003001741],"about_ca_topic_score_codex":0.000009003527,"about_ca_topic_score_gemma":0.0000044506423,"teacher_disagreement_score":0.10067042,"about_ca_system_score_codex":0.0001869528,"about_ca_system_score_gemma":0.000002791076,"threshold_uncertainty_score":0.9323582},"labels":[],"label_agreement":null},{"id":"W4386933618","doi":"10.1002/aisy.202300381","title":"An Aerial–Aquatic Hitchhiking Robot with Remora‐Inspired Tactile Sensors and Thrust Vectoring Units","year":2023,"lang":"en","type":"article","venue":"Advanced Intelligent Systems","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Robot; Underwater; Thrust; Computer science; Artificial intelligence; Drone; Engineering; Simulation; Aerospace engineering; Geology; Biology","score_opus":0.028748558902616513,"score_gpt":0.24770929691315827,"score_spread":0.21896073801054175,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386933618","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97791797,0.00032929817,0.01577318,0.0000069747803,0.0022968098,0.00038988047,0.00001566957,0.0021062423,0.0011639673],"genre_scores_gemma":[0.99755144,0.00032758308,0.0011532207,0.0000074388063,0.00033605995,0.000055254317,0.000054233504,0.00015725152,0.00035754446],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99818784,0.00008099904,0.00047919314,0.0004204708,0.0002537491,0.0005777338],"domain_scores_gemma":[0.99899226,0.00015434802,0.00011053888,0.00045684705,0.00007735527,0.00020867091],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00020879971,0.0003741916,0.00047530403,0.0001964755,0.00018040252,0.00014892664,0.00016625201,0.00009981102,0.000013453107],"category_scores_gemma":[0.000100792706,0.00034410803,0.000025429465,0.00067083444,0.00005138043,0.00048419664,0.000028691602,0.00015349686,0.00008686247],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028633896,0.0000065006875,0.00017731768,0.00019669023,0.000040545292,0.000045808818,0.0004711557,0.83322185,0.1623983,0.00019752706,0.000016608608,0.00319907],"study_design_scores_gemma":[0.0013448956,0.00055653893,0.0012343344,0.0021417532,0.000117818876,0.0002613156,0.007171231,0.5118055,0.45461792,0.0001963035,0.018221986,0.002330414],"about_ca_topic_score_codex":0.00013294227,"about_ca_topic_score_gemma":0.000031988435,"teacher_disagreement_score":0.32141635,"about_ca_system_score_codex":0.00011305713,"about_ca_system_score_gemma":0.000016015145,"threshold_uncertainty_score":0.9999011},"labels":[],"label_agreement":null},{"id":"W4388342252","doi":"10.1002/aisy.202300352","title":"A Multiobjective Collaborative Deep Reinforcement Learning Algorithm for Jumping Optimization of Bipedal Robot","year":2023,"lang":"en","type":"article","venue":"Advanced Intelligent Systems","topic":"Reinforcement Learning in Robotics","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Government of Jiangsu Province; Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"Reinforcement learning; Computer science; Markov decision process; Convergence (economics); Robot; Jumping; Artificial intelligence; Q-learning; Nonlinear system; Robotics; Mathematical optimization; Machine learning; Markov process; Mathematics","score_opus":0.020510999090521592,"score_gpt":0.28889894933451854,"score_spread":0.268387950243997,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388342252","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000043432177,0.00018570806,0.9957889,0.000029611554,0.0013510198,0.0016748908,0.0000027332383,0.00040978083,0.00051393],"genre_scores_gemma":[0.4048792,0.0005286456,0.5892338,0.000042909833,0.00018827732,0.00071287714,0.00019149149,0.000084128646,0.004138645],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99751353,0.00013468119,0.0008376179,0.00051036285,0.00051207247,0.0004917468],"domain_scores_gemma":[0.9974212,0.00048996194,0.0007004862,0.00042618674,0.0008680056,0.00009413905],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006121793,0.00026274813,0.00040996884,0.0004109449,0.0002643362,0.00012631236,0.0005544971,0.00010014166,0.000004850736],"category_scores_gemma":[0.00038383057,0.00026732293,0.00011678896,0.0015521462,0.00005284964,0.0006581635,0.00020349926,0.00017760744,0.000042879536],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012709668,0.000012577406,0.00003596405,0.00009142965,0.00008115228,0.0000020312507,0.002291591,0.98028755,0.00046821957,0.002697453,0.0000400501,0.01397929],"study_design_scores_gemma":[0.0004941155,0.0005045191,0.000009198601,0.00018684528,0.000014069879,0.000002557438,0.0024149586,0.98635375,0.008029197,0.000025276751,0.0016944817,0.0002710313],"about_ca_topic_score_codex":0.000024584795,"about_ca_topic_score_gemma":0.0000011961442,"teacher_disagreement_score":0.4065551,"about_ca_system_score_codex":0.00024479855,"about_ca_system_score_gemma":0.00010042754,"threshold_uncertainty_score":0.9999779},"labels":[],"label_agreement":null},{"id":"W4389071108","doi":"10.1002/aisy.202370053","title":"An Intelligent Wristband for Simultaneous Multiparameter Measurement during Fumigation and Washing Therapy of Traditional Chinese Medicine","year":2023,"lang":"en","type":"article","venue":"Advanced Intelligent Systems","topic":"Traditional Chinese Medicine Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministry of Agriculture","funders":"","keywords":"Fumigation; Traditional Chinese medicine; Wearable computer; Medicine; Traditional medicine; Computer science; Embedded system; Alternative medicine; Pathology; Biology","score_opus":0.09603799636285004,"score_gpt":0.33867878520642924,"score_spread":0.2426407888435792,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389071108","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98207045,0.0040407684,0.009900725,0.0004926182,0.0009860081,0.0021077595,0.00006732998,0.00018841146,0.00014595834],"genre_scores_gemma":[0.9963185,0.0015665017,0.00052066596,0.00006923443,0.00082759385,0.00028963826,0.0002679264,0.00005670128,0.000083208695],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9972968,0.00007076312,0.00089188915,0.00050057255,0.0009179701,0.0003219827],"domain_scores_gemma":[0.99750364,0.0010140284,0.00025958617,0.00031995412,0.00069216074,0.00021064965],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007509652,0.00034632298,0.00075455446,0.0003631661,0.00017479241,0.00001459974,0.00011295581,0.00007766822,0.000018311803],"category_scores_gemma":[0.0014495631,0.00024290312,0.000115055416,0.000392743,0.0002181389,0.00018226868,0.00001675942,0.00016927806,0.0000061967035],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.006773882,0.001637779,0.03349992,0.0064788843,0.0021433802,0.00012315686,0.019424181,0.08068274,0.8040994,0.0030171913,0.0012281053,0.040891398],"study_design_scores_gemma":[0.032469876,0.022621537,0.31927758,0.014025446,0.00077692745,0.0011506306,0.024918266,0.41274536,0.14403722,0.012440345,0.012654308,0.0028825083],"about_ca_topic_score_codex":0.000049611983,"about_ca_topic_score_gemma":0.000013036521,"teacher_disagreement_score":0.66006213,"about_ca_system_score_codex":0.00018154223,"about_ca_system_score_gemma":0.00004070678,"threshold_uncertainty_score":0.99053013},"labels":[],"label_agreement":null},{"id":"W4390197831","doi":"10.1002/aisy.202300862","title":"Advancing into the Future with Intelligent Systems","year":2023,"lang":"en","type":"article","venue":"Advanced Intelligent Systems","topic":"Modular Robots and Swarm Intelligence","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Impact factor; Neuromorphic engineering; Computer science; Declaration; Reputation; Analytics; Citation; Commit; Artificial intelligence; Table of contents; Data science; Engineering management; World Wide Web; Engineering; Artificial neural network; Political science","score_opus":0.008798756690915337,"score_gpt":0.2311102380866032,"score_spread":0.22231148139568785,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390197831","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09146202,0.053625755,0.8166007,0.0005406451,0.023293115,0.004086671,0.000032007327,0.0046202005,0.005738888],"genre_scores_gemma":[0.98876214,0.0065096784,0.00046520153,0.000059776892,0.0010740658,0.00048235277,0.000048679434,0.00020736943,0.0023907558],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9966661,0.000113583745,0.0008924768,0.00060802745,0.00072007376,0.0009997457],"domain_scores_gemma":[0.9980213,0.00021978335,0.00015229985,0.0011280697,0.00021496149,0.0002635527],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006676597,0.0005985523,0.00059027626,0.0002761361,0.00035411515,0.00024507273,0.00081381045,0.0001756799,0.000039735525],"category_scores_gemma":[0.000037321402,0.0003890162,0.00014553481,0.0012753274,0.00010758057,0.0003334199,0.000101765465,0.00054533134,0.0012089597],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022889313,0.00001650801,0.00020447515,0.000419612,0.00014851375,0.000054477212,0.0021532804,0.95263225,0.00094892865,0.0068242354,0.0025902076,0.033984613],"study_design_scores_gemma":[0.00017597734,0.000216344,0.000060097493,0.0007939426,0.000052405478,0.0001655292,0.0230565,0.3498025,0.011181992,0.00025651613,0.6132379,0.0010002677],"about_ca_topic_score_codex":0.00017439022,"about_ca_topic_score_gemma":0.00013826437,"teacher_disagreement_score":0.8973001,"about_ca_system_score_codex":0.0003320942,"about_ca_system_score_gemma":0.000041742125,"threshold_uncertainty_score":0.9998562},"labels":[],"label_agreement":null},{"id":"W4390430303","doi":"10.1002/aisy.202300879","title":"Soft Robotics Across Scales: Fundamentals to Applications","year":2023,"lang":"en","type":"article","venue":"Advanced Intelligent Systems","topic":"Soft Robotics and Applications","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Soft robotics; Artificial intelligence; Robotics; Computer science; Psychology; Robot","score_opus":0.025007040696776478,"score_gpt":0.30656845719557924,"score_spread":0.28156141649880273,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390430303","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012380544,0.0005361506,0.9819524,0.00015574877,0.0008032218,0.001385548,0.00010079047,0.0016470538,0.0010385304],"genre_scores_gemma":[0.9937166,0.00024625138,0.002717401,0.00006073392,0.0001906594,0.00141417,0.00009382506,0.00008049475,0.0014798867],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99872255,0.000008079066,0.00038615277,0.0002653062,0.00018343568,0.00043450057],"domain_scores_gemma":[0.99912167,0.000106264706,0.000035590412,0.0004853723,0.00006323663,0.00018789338],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00011691036,0.00018129972,0.00020367115,0.00008734349,0.00016373696,0.00008561065,0.00027608077,0.000064397216,0.000008677147],"category_scores_gemma":[0.000014428024,0.00019383611,0.000063904154,0.00083099556,0.000027936147,0.000073329546,0.00006337453,0.00010165699,0.00422535],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[9.2799627e-7,0.000015874992,0.000257143,0.000075695316,0.000023394956,7.931719e-7,0.00020828616,0.9794758,0.00481618,0.0046495716,0.0018627751,0.008613569],"study_design_scores_gemma":[0.00024787177,0.000060467737,0.0010865446,0.0001940477,0.000024139661,0.000015248337,0.0050991043,0.2798106,0.012410895,0.0011521763,0.6989039,0.0009949789],"about_ca_topic_score_codex":0.000008011127,"about_ca_topic_score_gemma":0.00001146778,"teacher_disagreement_score":0.98133606,"about_ca_system_score_codex":0.00012931912,"about_ca_system_score_gemma":0.0000063668454,"threshold_uncertainty_score":0.99654996},"labels":[],"label_agreement":null},{"id":"W4391965177","doi":"10.1002/aisy.202470012","title":"3D Printing of Multilayer Magnetic Miniature Soft Robots with Programmable Magnetization","year":2024,"lang":"en","type":"article","venue":"Advanced Intelligent Systems","topic":"Micro and Nano Robotics","field":"Physics and Astronomy","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Magnetization; Materials science; Robot; Computer science; Nanotechnology; Physics; Magnetic field; Artificial intelligence","score_opus":0.007014140285798247,"score_gpt":0.2356699771505355,"score_spread":0.22865583686473726,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391965177","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09631422,0.011197182,0.88017464,0.000047384598,0.0016008101,0.002033379,0.000039558432,0.00024673695,0.008346099],"genre_scores_gemma":[0.9813515,0.000026038457,0.011467946,0.0000046976684,0.0001844834,0.000054646644,0.000043405802,0.000046325516,0.006820976],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988013,0.000029631155,0.00038806602,0.00031579964,0.00018022963,0.00028499498],"domain_scores_gemma":[0.99937713,0.00006243642,0.00012541832,0.00024236862,0.00013118322,0.00006146099],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009987556,0.00020231269,0.00024916325,0.00008480145,0.000050176466,0.00008598586,0.00012634072,0.000050390998,0.00013812503],"category_scores_gemma":[0.0000050303343,0.00015790372,0.000070049035,0.00031046383,0.000037197224,0.00013881525,0.00003233151,0.00014860691,0.00006024989],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011612895,0.00042038067,0.022512,0.002457647,0.00032059336,0.000019121555,0.0023370483,0.48146942,0.046862792,0.02113162,0.00062450924,0.42172873],"study_design_scores_gemma":[0.0016580828,0.0018710402,0.0006958944,0.00711649,0.00052359456,0.00004410776,0.004928918,0.40073976,0.17520264,0.00065860583,0.4044497,0.002111152],"about_ca_topic_score_codex":0.00006393754,"about_ca_topic_score_gemma":0.0000034237605,"teacher_disagreement_score":0.88503724,"about_ca_system_score_codex":0.000025189025,"about_ca_system_score_gemma":0.000051889878,"threshold_uncertainty_score":0.6439127},"labels":[],"label_agreement":null},{"id":"W4392727348","doi":"10.1002/aisy.202300792","title":"Self‐Powered Smart Vibration Absorber for In Situ Sensing and Energy Harvesting","year":2024,"lang":"en","type":"article","venue":"Advanced Intelligent Systems","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Jiangsu Provincial Key Research and Development Program; China Scholarship Council; National Natural Science Foundation of China","keywords":"Triboelectric effect; Vibration; Energy harvesting; Impulse (physics); Acoustics; SIGNAL (programming language); Shock absorber; Smart material; Materials science; Energy (signal processing); Computer science; Structural engineering; Engineering; Nanotechnology; Physics; Composite material","score_opus":0.014752188980891414,"score_gpt":0.238251545856724,"score_spread":0.22349935687583258,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392727348","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13248111,0.006340155,0.8494649,0.000023113875,0.0046942555,0.00034935688,0.000016405482,0.0016093733,0.005021356],"genre_scores_gemma":[0.9896164,0.0004615203,0.008686619,0.00001753746,0.00021949172,0.000041703377,0.00003392853,0.00009131085,0.0008315247],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987551,0.000033611177,0.00047182167,0.000315252,0.0000972683,0.0003269458],"domain_scores_gemma":[0.9994501,0.0002507207,0.00003666656,0.00015236903,0.000038174803,0.00007200892],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018149597,0.0002288755,0.00027849336,0.00015908823,0.000056429824,0.0001785253,0.000054197935,0.00009148274,0.000002404536],"category_scores_gemma":[0.00006454269,0.00023276873,0.000040802985,0.00017369469,0.00001715955,0.0003920924,0.000016614904,0.0000819957,0.000011509095],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022530277,0.000011411804,0.000031956453,0.0015904126,0.00006832639,0.000034182674,0.0006899372,0.4518334,0.47859192,0.007688766,0.00006242287,0.059374735],"study_design_scores_gemma":[0.0002417371,0.000045812158,0.00003800642,0.0011060023,0.000022017215,0.0000727865,0.00029398818,0.7158577,0.14710741,0.0007670284,0.13392903,0.000518478],"about_ca_topic_score_codex":0.00007925103,"about_ca_topic_score_gemma":0.00012104852,"teacher_disagreement_score":0.85713524,"about_ca_system_score_codex":0.00012240869,"about_ca_system_score_gemma":0.000010336826,"threshold_uncertainty_score":0.9492034},"labels":[],"label_agreement":null},{"id":"W4392783419","doi":"10.1002/aisy.202300660","title":"Active Whisker‐Inspired Food Material Surface Property Measurement Using Deep‐Learned Mechanosensor","year":2024,"lang":"en","type":"article","venue":"Advanced Intelligent Systems","topic":"Tactile and Sensory Interactions","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Nexen (Canada)","funders":"Defense Acquisition Program Administration","keywords":"Whisker; Property (philosophy); Materials science; Composite material; Philosophy","score_opus":0.13369714407166214,"score_gpt":0.3176321172926805,"score_spread":0.18393497322101834,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392783419","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.932649,0.0004911446,0.032884177,0.00034041223,0.024106262,0.0029345234,0.0002472327,0.0013097469,0.0050375047],"genre_scores_gemma":[0.9971104,0.00013335288,0.00024383244,0.000089814195,0.00030131347,0.000043229735,0.0000058059923,0.0000957591,0.001976476],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.996658,0.0003410439,0.00064138876,0.0009577957,0.00080852455,0.00059320906],"domain_scores_gemma":[0.9987573,0.00016953234,0.00017895077,0.0005032745,0.00021467247,0.0001762912],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00014896868,0.00040053038,0.000405003,0.00017493877,0.00032099223,0.00038647925,0.00029999384,0.00013362014,0.0001961544],"category_scores_gemma":[0.00037936127,0.00029437788,0.00018745277,0.00044307162,0.00006603646,0.00075992884,0.00007173436,0.0003437236,0.00058798236],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021314871,0.000094971794,0.0000017822741,0.00015045729,0.000066397115,0.000055828754,0.00070746033,0.013048894,0.9800739,0.0011544094,0.000086589695,0.004346133],"study_design_scores_gemma":[0.00014214894,0.0002732662,0.0000013184226,0.0004100079,0.000044030534,0.00015555872,0.0012467096,0.03673273,0.90322274,0.000107732594,0.057293806,0.0003699436],"about_ca_topic_score_codex":0.00015952374,"about_ca_topic_score_gemma":0.000044234654,"teacher_disagreement_score":0.07685118,"about_ca_system_score_codex":0.0007638064,"about_ca_system_score_gemma":0.0001146612,"threshold_uncertainty_score":0.9999508},"labels":[],"label_agreement":null},{"id":"W4399854519","doi":"10.1002/aisy.202400244","title":"Double‐Layered Metal‐Organic‐Frameworks‐Based Microswimmers for Adaptive Dual‐Drug Anti‐Cancer Therapy Using Artemisinin‐Based Compounds","year":2024,"lang":"en","type":"article","venue":"Advanced Intelligent Systems","topic":"Micro and Nano Robotics","field":"Physics and Astronomy","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Basic and Applied Basic Research Foundation of Guangdong Province; Southern University of Science and Technology; National Natural Science Foundation of China","keywords":"Artemisinin; Dual (grammatical number); Drug; Cancer therapy; Cancer; Medicine; Pharmacology; Malaria; Internal medicine; Pathology; Plasmodium falciparum; Philosophy","score_opus":0.04829588847468886,"score_gpt":0.32615410226976094,"score_spread":0.2778582137950721,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399854519","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11619064,0.010141807,0.8666349,0.0001550544,0.0037508698,0.0021597936,0.00041223803,0.00020543874,0.0003492463],"genre_scores_gemma":[0.9925745,0.000087575434,0.004547335,0.00015273283,0.0006723238,0.00020276521,0.00019022732,0.00016077637,0.0014117722],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99738526,0.00009035006,0.00078004575,0.00077267486,0.00028918203,0.00068249257],"domain_scores_gemma":[0.9984257,0.00035437965,0.00029593418,0.00049834803,0.0002595055,0.00016613139],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00030338758,0.0005601438,0.00073233584,0.00019056747,0.00027646634,0.00028405993,0.00028979778,0.00016978283,0.00025218623],"category_scores_gemma":[0.0000035507214,0.00049843173,0.0004704508,0.00049959484,0.000100992074,0.00025525206,0.000033999146,0.00046829667,0.000054059623],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00059934024,0.00036871267,0.0006316102,0.000350134,0.0011143473,0.0000072452185,0.00071028917,0.27753475,0.70351017,0.0066488297,0.0024939314,0.0060306396],"study_design_scores_gemma":[0.0018167974,0.00013153642,0.0000042353,0.00100344,0.00015009497,0.0000021830715,0.0014067084,0.18249613,0.759009,0.00023932097,0.052944243,0.00079632405],"about_ca_topic_score_codex":0.00022751579,"about_ca_topic_score_gemma":0.000004959987,"teacher_disagreement_score":0.87638384,"about_ca_system_score_codex":0.00023031553,"about_ca_system_score_gemma":0.00033953425,"threshold_uncertainty_score":0.99974674},"labels":[],"label_agreement":null},{"id":"W4400291538","doi":"10.1002/aisy.202400292","title":"High‐Performance Textile‐Based Capacitive Strain Sensors via Enhanced Vapor Phase Polymerization of Pyrrole and Their Application to Machine Learning‐Assisted Hand Gesture Recognition","year":2024,"lang":"en","type":"article","venue":"Advanced Intelligent Systems","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Capacitive sensing; Polymerization; Textile; Pyrrole; Materials science; Vapor phase; Gesture; Phase (matter); Computer science; Composite material; Chemistry; Artificial intelligence; Polymer; Organic chemistry; Physics","score_opus":0.01183641464671392,"score_gpt":0.2344473411075737,"score_spread":0.22261092646085978,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400291538","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5445797,0.00054752006,0.45347077,0.000008303726,0.00042247042,0.00037138513,0.00021395728,0.0003035565,0.00008236955],"genre_scores_gemma":[0.9977895,0.00018458405,0.0009250239,0.00001255696,0.00010888358,0.0001482879,0.0006136008,0.00008095168,0.00013658714],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998648,0.0000648822,0.00052623113,0.00036161044,0.00013997906,0.0002593215],"domain_scores_gemma":[0.9993658,0.00011918824,0.000114782626,0.00018572796,0.00010675722,0.00010773891],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00013969242,0.00030538882,0.0003749691,0.00020323315,0.00009736481,0.00006477801,0.000075154676,0.00011330567,0.000017176511],"category_scores_gemma":[0.00004636626,0.000276502,0.000042166863,0.0003510656,0.000058493806,0.0002293004,0.000011815423,0.00016023515,0.000026525711],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047192356,0.000015951564,0.0000022693328,0.00034110894,0.000025891462,9.323931e-7,0.00034209123,0.3741548,0.5466116,0.000020871994,0.0000012424089,0.07843603],"study_design_scores_gemma":[0.0002590708,0.00018367766,0.00003578657,0.00044329185,0.00001756248,0.000009617547,0.00018916615,0.2820346,0.71585214,0.00003013025,0.0007148587,0.00023009801],"about_ca_topic_score_codex":0.000062528874,"about_ca_topic_score_gemma":0.000010119152,"teacher_disagreement_score":0.45320985,"about_ca_system_score_codex":0.000084219464,"about_ca_system_score_gemma":0.00001150603,"threshold_uncertainty_score":0.9999687},"labels":[],"label_agreement":null},{"id":"W4403659195","doi":"10.1002/aisy.202400043","title":"A Gecko‐Inspired Robot Using Novel Variable‐Stiffness Adhesive Paw Can Climb on Rough/Smooth Surfaces in Microgravity","year":2024,"lang":"en","type":"article","venue":"Advanced Intelligent Systems","topic":"Adhesion, Friction, and Surface Interactions","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"National Natural Science Foundation of China","keywords":"Gecko; Climb; Stiffness; Robot; Adhesive; Materials science; Computer science; Nanotechnology; Aerospace engineering; Engineering; Artificial intelligence; Composite material; Biology; Layer (electronics); Ecology","score_opus":0.027615600324933827,"score_gpt":0.2729781427820329,"score_spread":0.2453625424570991,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403659195","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8234868,0.0060786153,0.14975329,0.00006117788,0.014806007,0.0014156458,0.00026202714,0.0013834962,0.0027529246],"genre_scores_gemma":[0.9964637,0.00052524375,0.0019043874,0.000029464207,0.00019412613,0.000079386715,0.000044012788,0.00012501035,0.0006346505],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976285,0.000080317215,0.0007978166,0.00058564387,0.00030475107,0.0006029328],"domain_scores_gemma":[0.99886364,0.00034110108,0.00008770729,0.00042816132,0.00012653311,0.00015283021],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002598931,0.00046019058,0.00051119993,0.00036753743,0.0001710724,0.00020731417,0.0002384081,0.0002070702,0.000053565884],"category_scores_gemma":[0.000056541674,0.0004558047,0.00014463924,0.0008640195,0.000044268585,0.00041765027,0.000031373696,0.0004953117,0.00009965645],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003475996,0.00010106985,0.00043287067,0.00036784692,0.000101251324,0.00002414916,0.0010300247,0.9096547,0.085691415,0.0013125284,0.00011486996,0.0011345579],"study_design_scores_gemma":[0.00055772153,0.00018074861,0.0016174637,0.00432012,0.00010717151,0.000126934,0.0041651875,0.8608958,0.024349704,0.0002602119,0.10199805,0.0014208542],"about_ca_topic_score_codex":0.0020990388,"about_ca_topic_score_gemma":0.00066741515,"teacher_disagreement_score":0.1729769,"about_ca_system_score_codex":0.00094280194,"about_ca_system_score_gemma":0.000086805485,"threshold_uncertainty_score":0.99978936},"labels":[],"label_agreement":null},{"id":"W4404451726","doi":"10.1002/aisy.202470050","title":"High‐Performance Textile‐Based Capacitive Strain Sensors via Enhanced Vapor Phase Polymerization of Pyrrole and Their Application to Machine Learning‐Assisted Hand Gesture Recognition","year":2024,"lang":"en","type":"article","venue":"Advanced Intelligent Systems","topic":"Conducting polymers and applications","field":"Materials Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Capacitive sensing; Polymerization; Textile; Pyrrole; Materials science; Gesture; Vapor phase; Phase (matter); Computer science; Composite material; Chemistry; Artificial intelligence; Organic chemistry; Polymer; Physics; Operating system","score_opus":0.01748096646080063,"score_gpt":0.2699736511292128,"score_spread":0.2524926846684122,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404451726","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.70537794,0.00066410296,0.29237804,0.00008541475,0.00029163423,0.0006895594,0.00034496497,0.00012540692,0.000042939926],"genre_scores_gemma":[0.998281,0.000057270532,0.0005862523,0.000030520867,0.00008613765,0.00030785828,0.00038678705,0.000036450918,0.00022773267],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99852645,0.00008391883,0.00048856705,0.0005013212,0.00017059695,0.00022912002],"domain_scores_gemma":[0.99914384,0.00013581393,0.00023399232,0.00023735125,0.00014433917,0.00010467602],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023338544,0.00023012918,0.00029027235,0.00016360155,0.00019923145,0.00009445247,0.000110165776,0.00008484698,0.000060408365],"category_scores_gemma":[0.00004059577,0.00019688351,0.00004343776,0.00042818947,0.000110084715,0.00019127359,0.000022648535,0.00013928232,0.000056229026],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060292372,0.00006272889,0.000005127016,0.0001747592,0.000012686117,3.8540455e-7,0.0008971976,0.006028899,0.86732346,0.000052110547,0.0000042020815,0.12537816],"study_design_scores_gemma":[0.0002693666,0.00026192007,0.00003591977,0.00031072836,0.000024402756,0.000009276801,0.00070463656,0.04220682,0.9550039,0.00003765443,0.00092124625,0.00021410994],"about_ca_topic_score_codex":0.00022980242,"about_ca_topic_score_gemma":0.00001717422,"teacher_disagreement_score":0.29290307,"about_ca_system_score_codex":0.000062369945,"about_ca_system_score_gemma":0.000036500456,"threshold_uncertainty_score":0.80286765},"labels":[],"label_agreement":null},{"id":"W4405416023","doi":"10.1002/aisy.202400193","title":"The Risks and Rewards of Embodying Artificial Intelligence with Cloud‐Based Laboratories","year":2024,"lang":"en","type":"article","venue":"Advanced Intelligent Systems","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Cloud computing; Computer science; Artificial intelligence; Operating system","score_opus":0.08776528949348657,"score_gpt":0.3224791289004691,"score_spread":0.23471383940698254,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405416023","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21884674,0.04751284,0.7035965,0.002191598,0.01663336,0.0026782802,0.000118864,0.0011374287,0.00728441],"genre_scores_gemma":[0.9981468,0.00035610306,0.00023057403,0.00008423122,0.0009136561,0.00006382015,0.000023934215,0.000048637394,0.00013224852],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9979237,0.000024205465,0.0006837765,0.0005005941,0.00047534207,0.00039242787],"domain_scores_gemma":[0.9984188,0.00033720103,0.0002654548,0.00050430687,0.00044937845,0.000024850407],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006858901,0.0003119303,0.00032893883,0.00020736216,0.00035119813,0.0009318372,0.00044210974,0.00009066163,0.000033982367],"category_scores_gemma":[0.00021572439,0.00019561626,0.00006055435,0.0012865401,0.00039951186,0.0010168395,0.00013327452,0.00024442,0.000096528514],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004073732,0.0000887345,0.0029434515,0.0027688984,0.00015770816,0.000036326812,0.0001971722,0.010484616,0.0022959567,0.7837233,0.00085465866,0.1960418],"study_design_scores_gemma":[0.00012682535,0.0001674985,0.00033758458,0.004240339,0.00027626994,0.000031079362,0.0071680676,0.16493782,0.03760965,0.017460806,0.76637006,0.0012739768],"about_ca_topic_score_codex":0.0005681032,"about_ca_topic_score_gemma":0.0001774838,"teacher_disagreement_score":0.77930003,"about_ca_system_score_codex":0.000040493152,"about_ca_system_score_gemma":0.00007840885,"threshold_uncertainty_score":0.89857274},"labels":[],"label_agreement":null},{"id":"W4405822979","doi":"10.1002/aisy.202400521","title":"SuperResNET: Model‐Free Single‐Molecule Network Analysis Software Achieves Molecular Resolution of Nup96","year":2024,"lang":"en","type":"article","venue":"Advanced Intelligent Systems","topic":"Advanced Fluorescence Microscopy Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; University of British Columbia","funders":"","keywords":"Computer science; Segmentation; Artificial intelligence; Software; Visualization; Resolution (logic); Modularity (biology); Pattern recognition (psychology); Biological system; Biology","score_opus":0.010917632145384621,"score_gpt":0.2752340149472008,"score_spread":0.2643163828018162,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405822979","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.048182864,0.025989484,0.9243767,0.000026266196,0.00032139357,0.0004893922,0.0001000868,0.00018584348,0.00032794283],"genre_scores_gemma":[0.90004677,0.0008386876,0.09763213,0.000060533774,0.00014896072,0.00010240705,0.00037307493,0.00009860531,0.0006988589],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9975867,0.00010969409,0.0006777216,0.0007937725,0.0003198454,0.00051223376],"domain_scores_gemma":[0.9983706,0.00003220678,0.00016176344,0.0011299268,0.00019318765,0.00011231465],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00026339057,0.00036100805,0.0004607499,0.00021749755,0.000079145575,0.000058219426,0.0005571533,0.0002603962,0.000008892082],"category_scores_gemma":[0.00016224517,0.0003573813,0.000379523,0.0008030969,0.00016417287,0.000024818717,0.00024845055,0.00018994222,0.000010003059],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060057486,0.000042874646,0.00020457803,0.00010720293,0.00032479572,0.000007406705,0.000035605008,0.3506287,0.64595085,0.001036838,0.0007614275,0.0008396784],"study_design_scores_gemma":[0.00011041488,0.00036867126,0.000013463579,0.00031564056,0.0002634535,0.000012423453,0.00008274709,0.053861465,0.93564516,0.0008649777,0.008010424,0.00045115527],"about_ca_topic_score_codex":0.000028499511,"about_ca_topic_score_gemma":0.000025347788,"teacher_disagreement_score":0.85186386,"about_ca_system_score_codex":0.00009853579,"about_ca_system_score_gemma":0.00007249753,"threshold_uncertainty_score":0.9998878},"labels":[],"label_agreement":null},{"id":"W4406917602","doi":"10.1002/aisy.202400802","title":"Bioinspired Tactile Object Identification Leveraging Deep Learning and Soft Body Compliance","year":2025,"lang":"en","type":"article","venue":"Advanced Intelligent Systems","topic":"Tactile and Sensory Interactions","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mila - Quebec Artificial Intelligence Institute","funders":"Engineering and Physical Sciences Research Council","keywords":"Identification (biology); Compliance (psychology); Object (grammar); Artificial intelligence; Computer science; Computer vision; Human–computer interaction; Psychology; Social psychology; Biology","score_opus":0.042620126885668866,"score_gpt":0.3255851717250526,"score_spread":0.28296504483938373,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406917602","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5856301,0.0021536674,0.37490103,0.00044125266,0.008848824,0.0017907033,0.000021948073,0.0010109342,0.025201503],"genre_scores_gemma":[0.98913574,0.00049248186,0.000057729314,0.0001537313,0.000051898503,0.00006762516,0.0000062814634,0.000021122742,0.010013376],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99823916,0.00016262154,0.0004929783,0.000600705,0.00019583236,0.00030869534],"domain_scores_gemma":[0.99880534,0.00049619225,0.00024216167,0.00029386109,0.00009011396,0.00007235037],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000080338505,0.00020029346,0.0002452256,0.00022001032,0.00052277476,0.000165125,0.00018459682,0.00006269015,0.000027641521],"category_scores_gemma":[0.00060913624,0.00020691898,0.000067048284,0.00039459855,0.000080904014,0.00047796185,0.000053751683,0.00030925762,0.00019936454],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043811382,0.000060555038,0.0014476427,0.00012887192,0.000017165705,0.0000105791705,0.00048114828,0.0053939437,0.96833974,0.0021643692,0.00010419762,0.021807993],"study_design_scores_gemma":[0.00023542423,0.00005391059,0.00064171356,0.0003776144,0.000024567824,0.00006499906,0.0027304713,0.06767129,0.79809153,0.0001892306,0.12960804,0.00031121224],"about_ca_topic_score_codex":0.000063067266,"about_ca_topic_score_gemma":0.000008560637,"teacher_disagreement_score":0.40350562,"about_ca_system_score_codex":0.00013164846,"about_ca_system_score_gemma":0.000022547623,"threshold_uncertainty_score":0.84379107},"labels":[],"label_agreement":null},{"id":"W4408499399","doi":"10.1002/aisy.202570014","title":"SuperResNET: Model‐Free Single‐Molecule Network Analysis Software Achieves Molecular Resolution of Nup96","year":2025,"lang":"en","type":"article","venue":"Advanced Intelligent Systems","topic":"Advanced Fluorescence Microscopy Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; University of British Columbia","funders":"","keywords":"Resolution (logic); Computer science; Software; Molecule; Chemistry; Artificial intelligence; Programming language","score_opus":0.008497399479144121,"score_gpt":0.2740545839919839,"score_spread":0.2655571845128398,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408499399","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.056372926,0.00942269,0.9325151,0.0000305713,0.00022117642,0.0005664238,0.000058837213,0.000096228374,0.0007160442],"genre_scores_gemma":[0.8764016,0.00054997276,0.121217415,0.00014872177,0.00006228591,0.00011605073,0.00029800853,0.000054846485,0.0011511117],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99769074,0.00012758598,0.0007257752,0.0007051852,0.00025370176,0.000497011],"domain_scores_gemma":[0.99797034,0.000029813582,0.00026758737,0.0013537115,0.00029419796,0.00008433719],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00024015864,0.0003445464,0.0005254644,0.00023609043,0.000107183594,0.000029234165,0.000672751,0.00027319582,0.000004745199],"category_scores_gemma":[0.0002743423,0.0003581513,0.00032811606,0.0008859191,0.00017931507,0.000016690692,0.00032331582,0.0001606187,0.0000031132656],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011029939,0.000070856724,0.0010798016,0.00006313658,0.00030970783,0.0000017449402,0.0000164942,0.37489808,0.6208749,0.0012682049,0.00072564336,0.00058115466],"study_design_scores_gemma":[0.00022520262,0.00024824205,0.000055754143,0.00021432574,0.00024444473,0.0000026162472,0.00009253315,0.016303755,0.97689766,0.0010674791,0.004283924,0.00036408505],"about_ca_topic_score_codex":0.000036075195,"about_ca_topic_score_gemma":0.000039229373,"teacher_disagreement_score":0.82002866,"about_ca_system_score_codex":0.00009881502,"about_ca_system_score_gemma":0.00008081805,"threshold_uncertainty_score":0.99988705},"labels":[],"label_agreement":null},{"id":"W4409711694","doi":"10.1002/aisy.202500198","title":"Artificial Intelligence‐Driven Robotic Sensing System for Noninvasive Crop Health Monitoring and Autonomous Irrigation Management","year":2025,"lang":"en","type":"article","venue":"Advanced Intelligent Systems","topic":"Plant and Biological Electrophysiology Studies","field":"Agricultural and Biological Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Irrigation; Agricultural engineering; Computer science; Artificial intelligence; Irrigation management; Environmental science; Systems engineering; Environmental resource management; Engineering; Agronomy; Biology","score_opus":0.03782601448334911,"score_gpt":0.27765781265308653,"score_spread":0.23983179816973743,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409711694","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9404739,0.00635824,0.042973652,0.0017135891,0.0034260454,0.003752281,0.000057530768,0.0004699298,0.000774841],"genre_scores_gemma":[0.9980944,0.0005021638,0.0008195935,0.00005336784,0.00020303192,0.000067969835,0.00004912088,0.0000014896729,0.0002088712],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9984124,0.000092769726,0.00050490286,0.00046714832,0.00009678802,0.0004260409],"domain_scores_gemma":[0.99927276,0.00031102513,0.00019240432,0.00006155321,0.0000945956,0.000067684305],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020696409,0.00021539112,0.00041384684,0.00003464589,0.0005477431,0.000065636974,0.00014146615,0.00009341534,0.000001066325],"category_scores_gemma":[0.000028070004,0.00009560662,0.00008124959,0.0002466364,0.00007635587,0.00006170643,0.000079382764,0.0001008926,0.000008733518],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023621705,0.00009086828,0.0005353469,0.00067560514,0.00029786327,0.00001582995,0.00017843272,0.010181098,0.1936403,0.047589984,0.00007841023,0.74648005],"study_design_scores_gemma":[0.0009896613,0.012461542,0.039344955,0.014190644,0.00077649654,0.0002787173,0.101894364,0.12650992,0.6166231,0.05010886,0.031211592,0.005610148],"about_ca_topic_score_codex":0.000104879546,"about_ca_topic_score_gemma":0.00004994445,"teacher_disagreement_score":0.7408699,"about_ca_system_score_codex":0.00019086033,"about_ca_system_score_gemma":0.00000976129,"threshold_uncertainty_score":0.42128524},"labels":[],"label_agreement":null},{"id":"W4412378850","doi":"10.1002/aisy.202500282","title":"Optimized DeepLabV3+ for Clinical Data Analysis through Advanced Particle Swarm Optimization‐Based Channel Selection","year":2025,"lang":"en","type":"article","venue":"Advanced Intelligent Systems","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; York University; Ontario Centre of Innovation","keywords":"Particle swarm optimization; Selection (genetic algorithm); Computer science; Channel (broadcasting); Mathematical optimization; Psychology; Statistics; Artificial intelligence; Algorithm; Mathematics; Telecommunications","score_opus":0.13000119812494526,"score_gpt":0.4542502165788098,"score_spread":0.32424901845386456,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412378850","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0014519305,0.0021022207,0.98574954,0.005963244,0.0014973241,0.002663512,0.00009515094,0.00038305877,0.00009402337],"genre_scores_gemma":[0.6095126,0.0033981716,0.357518,0.020906402,0.00060297304,0.0017921195,0.0029975164,0.0001880646,0.0030841485],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9960911,0.00022381125,0.0014784975,0.0012777571,0.0003859379,0.0005428437],"domain_scores_gemma":[0.99521893,0.0017728588,0.00044721144,0.0016732309,0.0007015277,0.00018623879],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011181853,0.00036149562,0.0011720604,0.00034416877,0.00024878894,0.00008312287,0.00046332562,0.00021859704,0.00005007656],"category_scores_gemma":[0.0025411276,0.00034850274,0.0004073484,0.0024336474,0.00009915206,0.00041430854,0.00013319134,0.00025063512,0.000023888873],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012438485,0.0006140154,0.0018582218,0.00033191437,0.001257144,0.0000035202295,0.000057134795,0.98686355,0.00011094639,0.0001978576,0.005842493,0.0016193701],"study_design_scores_gemma":[0.0037768732,0.0003291079,0.00009539257,0.00037726175,0.0023446584,0.0000021520766,0.00019223687,0.91670084,0.0069882097,0.000040313156,0.068859525,0.00029343803],"about_ca_topic_score_codex":0.00011787568,"about_ca_topic_score_gemma":0.00003026651,"teacher_disagreement_score":0.6282315,"about_ca_system_score_codex":0.00040471047,"about_ca_system_score_gemma":0.00035700237,"threshold_uncertainty_score":0.9998967},"labels":[],"label_agreement":null},{"id":"W4412566594","doi":"10.1002/aisy.70071","title":"Artificial Intelligence‐Driven Robotic Sensing System for Noninvasive Crop Health Monitoring and Autonomous Irrigation Management","year":2025,"lang":"en","type":"article","venue":"Advanced Intelligent Systems","topic":"Smart Agriculture and AI","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Artificial intelligence; Computer science; Crop management; Irrigation management; Agricultural engineering; Irrigation; Systems engineering; Crop; Environmental science; Engineering; Agronomy; Biology","score_opus":0.031748973881379025,"score_gpt":0.2752794059137349,"score_spread":0.24353043203235586,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412566594","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7474379,0.008466133,0.21280752,0.004085713,0.013390807,0.009658409,0.0000714053,0.0010316637,0.0030504332],"genre_scores_gemma":[0.99742347,0.00013956333,0.0013318472,0.000051428295,0.00042542795,0.00008040135,0.000047605452,0.0000025179481,0.0004977173],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9982662,0.00007598949,0.00060552504,0.00048626176,0.00016663416,0.00039938165],"domain_scores_gemma":[0.9992462,0.00020436631,0.00022125809,0.00008814218,0.00013398855,0.0001060849],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025525497,0.0002311917,0.00036369837,0.00004205417,0.000486149,0.00016458853,0.00015663105,0.00008735519,0.000002106044],"category_scores_gemma":[0.000018862947,0.00010673568,0.0000966348,0.0003587706,0.00003672955,0.0001281015,0.00006516523,0.00009742752,0.00001563906],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000089405425,0.00010883046,0.00082942913,0.0011749191,0.00021684144,0.000016836435,0.0006257756,0.031653192,0.042023685,0.059138313,0.00024943837,0.86387336],"study_design_scores_gemma":[0.0008058739,0.0038587402,0.02033733,0.021010082,0.000695766,0.00028394038,0.20144446,0.093864396,0.54483193,0.0151517615,0.093148604,0.004567139],"about_ca_topic_score_codex":0.00018901269,"about_ca_topic_score_gemma":0.000086875414,"teacher_disagreement_score":0.8593062,"about_ca_system_score_codex":0.00026670427,"about_ca_system_score_gemma":0.000013421708,"threshold_uncertainty_score":0.43525547},"labels":[],"label_agreement":null},{"id":"W4412935878","doi":"10.1002/aisy.202500051","title":"Advances in 3D Printing Technologies for Fabricating Magnetic Soft Microrobots","year":2025,"lang":"en","type":"article","venue":"Advanced Intelligent Systems","topic":"Micro and Nano Robotics","field":"Physics and Astronomy","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Robot; Magnetism; 3D printing; Nanotechnology; Fabrication; Computer science; Soft robotics; Soft materials; Process (computing); Systems engineering; Engineering; Mechanical engineering; Materials science; Artificial intelligence; Physics","score_opus":0.008067782685438249,"score_gpt":0.27306966000380684,"score_spread":0.2650018773183686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412935878","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011138137,0.017084552,0.961923,0.00008716352,0.00082442985,0.0013603303,0.0000140314105,0.00018362403,0.0073847347],"genre_scores_gemma":[0.9844388,0.00026395012,0.013278585,0.000015112875,0.000055639077,0.0002940316,0.000015492544,0.000022501896,0.0016159011],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985546,0.0000241806,0.00055368757,0.0003798253,0.00007422287,0.00041350385],"domain_scores_gemma":[0.99917376,0.00022158583,0.0001853528,0.00030731183,0.00009034708,0.000021659627],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016098349,0.00020847913,0.00032649378,0.00018252524,0.00011287079,0.00004929306,0.00029738338,0.000061156374,0.000009787853],"category_scores_gemma":[0.00005230834,0.00019980903,0.00008422892,0.00036463165,0.00004893741,0.00015962253,0.00009381037,0.00015407288,0.00001779987],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023906718,0.0001107349,0.031075941,0.00036286024,0.00003482992,7.4351647e-7,0.00015596345,0.034659762,0.017324088,0.037480906,0.00008606406,0.8786842],"study_design_scores_gemma":[0.0027959878,0.0003704661,0.0005934182,0.004484299,0.0001549324,0.0000049308933,0.025323573,0.06469296,0.34036145,0.029956883,0.52925277,0.0020083522],"about_ca_topic_score_codex":0.00004023638,"about_ca_topic_score_gemma":0.000006680431,"teacher_disagreement_score":0.97330064,"about_ca_system_score_codex":0.00006867646,"about_ca_system_score_gemma":0.000040183764,"threshold_uncertainty_score":0.8147976},"labels":[],"label_agreement":null},{"id":"W4413189697","doi":"10.1002/aisy.202500263","title":"A Literature Survey on Potential Private User Information Leakage in Metaverse Applications","year":2025,"lang":"en","type":"article","venue":"Advanced Intelligent Systems","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique; Université du Québec en Outaouais","funders":"","keywords":"Metaverse; Leakage (economics); Information leakage; Computer science; Data science; Human–computer interaction; Computer security; Economics; Virtual reality","score_opus":0.018692920291321923,"score_gpt":0.282826807464481,"score_spread":0.2641338871731591,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413189697","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4656407,0.0005530434,0.5179455,0.00030199398,0.0039955187,0.003772844,0.0003061031,0.0003751034,0.0071091624],"genre_scores_gemma":[0.99695027,0.000109940935,0.00016092743,0.0006383859,0.000033639804,0.00015066708,0.00005867912,0.000009514589,0.0018879955],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983931,0.00024326358,0.00052820006,0.0003449304,0.00023005383,0.00026043676],"domain_scores_gemma":[0.9990349,0.00026905214,0.00015536459,0.00041077784,0.00008155995,0.000048356836],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030577468,0.00019227504,0.0002302759,0.00038216604,0.00009781757,0.00023646986,0.00039629758,0.0000907376,0.000008405799],"category_scores_gemma":[0.0002050118,0.00016536572,0.00006426401,0.00088502397,0.00003914054,0.00065617485,0.00008002934,0.0002637599,0.00026514882],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011147857,0.0011158963,0.005659423,0.0013106037,0.00012425677,0.00006814781,0.0045801783,0.50242156,0.17604601,0.24042392,0.0081682885,0.058966942],"study_design_scores_gemma":[0.0010276394,0.00020212101,0.0056954133,0.0012667642,0.000015774276,0.000018076129,0.00035375715,0.017749708,0.47160396,0.0009332008,0.50049144,0.00064216607],"about_ca_topic_score_codex":0.000050977575,"about_ca_topic_score_gemma":0.00001917409,"teacher_disagreement_score":0.53130955,"about_ca_system_score_codex":0.000099114746,"about_ca_system_score_gemma":0.000024330262,"threshold_uncertainty_score":0.6743418},"labels":[],"label_agreement":null},{"id":"W4413381273","doi":"10.1002/aisy.202500478","title":"Robotic Needle Steering for Percutaneous Interventions: Sensing, Modeling, and Control","year":2025,"lang":"en","type":"article","venue":"Advanced Intelligent Systems","topic":"Soft Robotics and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Fundamental Research Funds for the Central Universities; National Key Research and Development Program of China","keywords":"Percutaneous; Psychological intervention; Control (management); Computer science; Medicine; Physical medicine and rehabilitation; Artificial intelligence; Surgery; Nursing","score_opus":0.01970877007187473,"score_gpt":0.27305397124345554,"score_spread":0.2533452011715808,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413381273","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0077684033,0.007085704,0.982717,0.00004119131,0.0008186001,0.000837537,0.000010187397,0.00026652604,0.00045486432],"genre_scores_gemma":[0.99383473,0.00027046836,0.00508673,0.000024346766,0.0000457594,0.00008438897,0.000009783105,0.000031827443,0.0006119895],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99913627,0.0000092756245,0.00038621982,0.00019481787,0.00005942733,0.00021398618],"domain_scores_gemma":[0.99949986,0.0001164391,0.000031572356,0.00021589594,0.000082783,0.000053440162],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008696148,0.00015323119,0.00024324685,0.00010623036,0.00009769429,0.00007027151,0.00008750415,0.000058764123,0.0000022651284],"category_scores_gemma":[0.000040073115,0.00016223657,0.000097898665,0.00011104695,0.000016902766,0.000059356327,0.000016587015,0.000086114684,0.0000079854835],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000042275788,0.00001014354,0.000014790874,0.00047694877,0.00007342318,9.080394e-7,0.0000659955,0.9867695,0.0028580816,0.0053095855,0.00007849842,0.0043378794],"study_design_scores_gemma":[0.00016940529,0.00002327655,0.0000025325628,0.00047857146,0.00005576108,0.000025178479,0.0004693193,0.9949564,0.00036660332,0.0006691606,0.0026352487,0.00014855192],"about_ca_topic_score_codex":0.00002064339,"about_ca_topic_score_gemma":0.000010123661,"teacher_disagreement_score":0.9860663,"about_ca_system_score_codex":0.00008199219,"about_ca_system_score_gemma":0.000007806582,"threshold_uncertainty_score":0.6615815},"labels":[],"label_agreement":null},{"id":"W4413856082","doi":"10.1002/aisy.202500357","title":"DePerio: Deep Learning‐Based Oral Inflammatory Load Quantification for Periodontal Applications","year":2025,"lang":"en","type":"article","venue":"Advanced Intelligent Systems","topic":"Oral microbiology and periodontitis research","field":"Dentistry","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University Health Network; University of Toronto; York University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada First Research Excellence Fund; York University","keywords":"Medicine; Dentistry; Computer science; Artificial intelligence","score_opus":0.022283525994389354,"score_gpt":0.335284779320084,"score_spread":0.3130012533256946,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413856082","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1840071,0.006412347,0.8019569,0.00010524901,0.0020574408,0.0032957376,0.00009586787,0.0003227769,0.0017466178],"genre_scores_gemma":[0.9830228,0.00008580642,0.0007777576,0.00005774319,0.00009087511,0.0017924985,0.00033165741,0.000032716856,0.013808151],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981087,0.00018720285,0.0005796417,0.0005332591,0.00017415456,0.0004170327],"domain_scores_gemma":[0.99856335,0.00023800351,0.0001683452,0.00047971937,0.0004689689,0.00008162027],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047497722,0.00022544026,0.0003424749,0.00017335864,0.000495166,0.00014360288,0.0003819729,0.00024028907,0.00013751397],"category_scores_gemma":[0.00020719896,0.00022875673,0.00018146251,0.00030697865,0.00015932892,0.00015833603,0.00005342212,0.00031570593,0.0007414471],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001989899,0.0007792573,0.19474484,0.003707501,0.0006719315,0.00003613707,0.0006516467,0.06313939,0.5453261,0.048975013,0.004923018,0.13505527],"study_design_scores_gemma":[0.0008662965,0.00012820456,0.004258226,0.00016257785,0.00003745831,0.000018237131,0.00092465186,0.010642068,0.037056424,0.00009486942,0.9454376,0.00037337176],"about_ca_topic_score_codex":0.00012290444,"about_ca_topic_score_gemma":0.000630421,"teacher_disagreement_score":0.9405146,"about_ca_system_score_codex":0.00032208924,"about_ca_system_score_gemma":0.00019537764,"threshold_uncertainty_score":0.95300496},"labels":[],"label_agreement":null},{"id":"W4414213194","doi":"10.1002/aisy.202500147","title":"Computational Models of Multisensory Integration with Recurrent Neural Networks: A Critical Review and Future Directions","year":2025,"lang":"en","type":"article","venue":"Advanced Intelligent Systems","topic":"Multisensory perception and integration","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Computational model; Probabilistic logic; Recurrent neural network; Multisensory integration; Robustness (evolution); Spiking neural network; Computational neuroscience; Neuroinformatics","score_opus":0.049076026757904484,"score_gpt":0.36892861848778336,"score_spread":0.3198525917298789,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414213194","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008060113,0.09403332,0.8816051,0.0017280048,0.004279238,0.001927682,0.00005942914,0.00017221017,0.008134933],"genre_scores_gemma":[0.98523307,0.010190138,0.0020463446,0.0005452732,0.00016739327,0.00024682804,0.00010493474,0.00002163776,0.0014443959],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985141,0.0002477287,0.0005718225,0.0003487891,0.00014650973,0.00017105891],"domain_scores_gemma":[0.9989512,0.00019426858,0.00013972017,0.000224856,0.00042214556,0.000067819885],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014577995,0.00019106884,0.00036230322,0.00014488246,0.00010012466,0.000023091075,0.00007372651,0.000095481766,0.00019724018],"category_scores_gemma":[0.00004484761,0.00014990049,0.00006582144,0.00028268478,0.00012617082,0.00018742938,0.000013044659,0.00022623985,0.000011058841],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047324758,0.0006387393,0.00044425653,0.001709843,0.00028187133,0.000006138412,0.0027059712,0.14035185,0.00022319207,0.34835884,0.006549429,0.49825662],"study_design_scores_gemma":[0.0006212191,0.00033874373,0.0022228134,0.0026617502,0.00023079105,0.000075366384,0.005032381,0.9601029,0.000026385285,0.00036529583,0.027973903,0.00034842655],"about_ca_topic_score_codex":0.000055486566,"about_ca_topic_score_gemma":0.000027201673,"teacher_disagreement_score":0.977173,"about_ca_system_score_codex":0.00006528256,"about_ca_system_score_gemma":0.000016312726,"threshold_uncertainty_score":0.61127645},"labels":[],"label_agreement":null},{"id":"W4414265524","doi":"10.1002/aisy.202500505","title":"From Origami to Bistable and Laminate Structures: A Review for Multifunctional Applications from Structural Perspective of Shape‐Changing Structures","year":2025,"lang":"en","type":"review","venue":"Advanced Intelligent Systems","topic":"Advanced Materials and Mechanics","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Faculty of Engineering, McGill University","keywords":"Adaptability; Control reconfiguration; Key (lock); Bistability; Perspective (graphical); Adaptation (eye); Variety (cybernetics)","score_opus":0.022315325484149173,"score_gpt":0.32670712013806946,"score_spread":0.3043917946539203,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414265524","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000010086107,0.7947964,0.19401439,0.0000030286176,0.001764924,0.0039434154,0.005300108,0.00011730589,0.00005033995],"genre_scores_gemma":[0.00010419392,0.9837646,0.012603052,0.000020650225,0.00044316638,0.0017141865,0.0010622499,0.000103176586,0.0001847482],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99763155,0.000049961494,0.0010240794,0.0007073217,0.00020257098,0.00038449216],"domain_scores_gemma":[0.99827015,0.0004465439,0.0003654838,0.0005276191,0.00026580517,0.00012437321],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00010506532,0.0006324496,0.0020801818,0.000265487,0.00010915295,0.000047017726,0.0003276666,0.0002335021,0.000059604605],"category_scores_gemma":[0.00012372814,0.000542337,0.00026540793,0.00039018234,0.00002709449,0.00011668669,0.00010952418,0.00020413536,0.0000045365687],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027034324,0.000008881447,1.1793575e-7,0.1280656,0.0007367242,0.0000015309189,0.00031821418,0.0064817406,0.00046183274,0.04355731,0.0002121649,0.82012886],"study_design_scores_gemma":[0.00018045561,0.000040790837,1.581323e-7,0.04400383,0.0008392314,0.000006687092,0.00070215564,0.0013751317,0.00051194086,0.012806485,0.93886364,0.0006694959],"about_ca_topic_score_codex":0.00009690025,"about_ca_topic_score_gemma":0.000011632665,"teacher_disagreement_score":0.9386515,"about_ca_system_score_codex":0.00035354056,"about_ca_system_score_gemma":0.00007776196,"threshold_uncertainty_score":0.9997028},"labels":[],"label_agreement":null},{"id":"W4414737811","doi":"10.1002/aisy.202501159","title":"Adversarial Erasing Enhanced Multiple Instance Learning (siMILe): Discriminative Identification of Oligomeric Protein Structures in Single Molecule Localization Microscopy","year":2025,"lang":"en","type":"preprint","venue":"Advanced Intelligent Systems","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Alliance de recherche numérique du Canada; Western Canada Research Grid","keywords":"Discriminative model; Identification (biology); Pattern recognition (psychology); Deep learning; Microscopy; Protein structure","score_opus":0.009518245259676188,"score_gpt":0.2922229686196174,"score_spread":0.2827047233599412,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414737811","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.32422757,0.001968953,0.6718488,0.0000036190977,0.00021101987,0.0013432172,0.00002518602,0.000037092854,0.00033454763],"genre_scores_gemma":[0.9948232,0.00049240544,0.0027078055,0.000014581092,0.00007644364,0.00028221734,0.00094225816,0.00004116267,0.0006198891],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9970716,0.00032852602,0.0011583499,0.0009011226,0.00025978306,0.0002805755],"domain_scores_gemma":[0.99770385,0.000032296008,0.0011111202,0.0006667896,0.0004441692,0.000041754],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00027762546,0.00039443292,0.0005806809,0.00032945265,0.00007413862,0.0000648882,0.00040830136,0.00037135778,0.0000031060986],"category_scores_gemma":[0.00060180825,0.00044091843,0.00018228785,0.00035239971,0.00012331114,0.000018963978,0.00035675822,0.00036281507,0.000001041904],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014474298,0.00009311923,0.00023583099,0.0005438906,0.000078403944,0.0000011616943,0.00031865074,0.16651377,0.82972324,0.000039897895,0.00001641547,0.0022908663],"study_design_scores_gemma":[0.00026637726,0.000112707945,0.000042105727,0.00089392863,0.000046940193,5.471426e-7,0.00076126674,0.01025277,0.9863408,0.00016005625,0.00076804863,0.00035445226],"about_ca_topic_score_codex":0.00030189,"about_ca_topic_score_gemma":0.0001288441,"teacher_disagreement_score":0.6705957,"about_ca_system_score_codex":0.00024329533,"about_ca_system_score_gemma":0.00012237321,"threshold_uncertainty_score":0.99980426},"labels":[],"label_agreement":null},{"id":"W4415096499","doi":"10.1002/aisy.202500668","title":"Effective Material Stiffness in Curved Actuators","year":2025,"lang":"en","type":"article","venue":"Advanced Intelligent Systems","topic":"Advanced Materials and Mechanics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Curvature; Actuator; Stiffness; Radius of curvature; RADIUS; Stress (linguistics); Material properties","score_opus":0.005002310970676064,"score_gpt":0.23652254536862427,"score_spread":0.2315202343979482,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415096499","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6941729,0.0010332078,0.2833418,0.000008295818,0.016728492,0.0016212357,0.000047352514,0.00058356975,0.0024631391],"genre_scores_gemma":[0.9987134,0.00025786465,0.00030298866,0.000014508952,0.00008873479,0.0003072594,0.000019042805,0.000040121737,0.00025611537],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988354,0.00004726166,0.00042531476,0.0002486038,0.00010164645,0.0003417818],"domain_scores_gemma":[0.9995239,0.000077143006,0.000044345456,0.00026200822,0.000040426014,0.00005219163],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014809256,0.00023759845,0.0003864962,0.0001683866,0.0000341718,0.000043925033,0.0001630666,0.00010834553,0.000026988604],"category_scores_gemma":[0.000044448087,0.00023157857,0.00004462142,0.00026347922,0.000015488033,0.00016989499,0.00003998906,0.00011330941,0.00004756101],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032372342,0.00010526871,0.00013603547,0.001922075,0.0001480797,0.000041368334,0.00048391137,0.32966927,0.40645108,0.041217834,0.0003217595,0.21917962],"study_design_scores_gemma":[0.0011566782,0.00008042696,0.0004774974,0.0013528037,0.000030156261,0.000007724272,0.0008931708,0.020906132,0.90241826,0.0042962227,0.06756613,0.00081478123],"about_ca_topic_score_codex":0.000030603176,"about_ca_topic_score_gemma":0.000018169527,"teacher_disagreement_score":0.4959672,"about_ca_system_score_codex":0.00026373347,"about_ca_system_score_gemma":0.000013890531,"threshold_uncertainty_score":0.94435},"labels":[],"label_agreement":null},{"id":"W4416402924","doi":"10.1002/aisy.202500327","title":"Spikoder: Dual‐Mode Graphene Neuron Circuit for Hardware Intelligence","year":2025,"lang":"en","type":"article","venue":"Advanced Intelligent Systems","topic":"Advanced Memory and Neural Computing","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Neuromorphic engineering; Scalability; Spiking neural network; Realization (probability); Encoder; Artificial neural network; Encoding (memory); Efficient energy use","score_opus":0.02673545954498137,"score_gpt":0.2830981653412295,"score_spread":0.25636270579624815,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416402924","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015543233,0.0048094164,0.9691153,0.00003134912,0.0052521285,0.0011776047,0.000043224994,0.00091646984,0.003111269],"genre_scores_gemma":[0.9963859,0.00056365156,0.00090562156,0.00010578178,0.000195251,0.00020392447,0.00002545475,0.00007618553,0.0015382462],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99790615,0.000038322807,0.00071513455,0.00052617706,0.00017848812,0.0006357469],"domain_scores_gemma":[0.99874955,0.00037461607,0.000093835064,0.0005261588,0.000137663,0.00011817367],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00016010541,0.00039578232,0.00046277867,0.000227027,0.0002043155,0.000064831234,0.00034050312,0.00011429512,0.000012003692],"category_scores_gemma":[0.00012381897,0.00041291703,0.00019355906,0.00047250456,0.000047416383,0.00027551354,0.000060055725,0.00028223815,0.000038690687],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003376815,0.000024299354,0.000043661137,0.0006790802,0.000056906265,0.00000935863,0.00012819255,0.86973774,0.031680763,0.020490415,0.00035880916,0.07675702],"study_design_scores_gemma":[0.0004476257,0.00022698613,0.000051396346,0.0014903562,0.00007763499,0.000041775416,0.00086923834,0.27637258,0.5966053,0.017759342,0.10492758,0.0011301519],"about_ca_topic_score_codex":0.00000482249,"about_ca_topic_score_gemma":0.0000059634262,"teacher_disagreement_score":0.98084265,"about_ca_system_score_codex":0.00015341854,"about_ca_system_score_gemma":0.000021319018,"threshold_uncertainty_score":0.9998323},"labels":[],"label_agreement":null},{"id":"W4416407516","doi":"10.1002/aisy.202500745","title":"Design of a Reconfigurable Microfluidic System Enabled by Magnetic Miniature Robots","year":2025,"lang":"en","type":"article","venue":"Advanced Intelligent Systems","topic":"Innovative Microfluidic and Catalytic Techniques Innovation","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Universidade de Macau; National Natural Science Foundation of China; Fundo para o Desenvolvimento das Ciências e da Tecnologia; United Mitochondrial Disease Foundation","keywords":"Microfluidics; Scalability; Microchannel; Robot; Actuator; Magnetic nanoparticles; Control reconfiguration; Fluidics; Flow control (data)","score_opus":0.00948345100239337,"score_gpt":0.22615888420749036,"score_spread":0.216675433205097,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416407516","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0019555215,0.043161027,0.93980443,0.0000158806,0.0013648788,0.0011134646,0.0000342387,0.00056112895,0.011989413],"genre_scores_gemma":[0.9921426,0.0011568165,0.0018452065,0.000045000335,0.0000346414,0.00023738899,0.000087257446,0.00006131944,0.0043897284],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99818945,0.000060992057,0.00093021354,0.00029840035,0.00016675316,0.00035416242],"domain_scores_gemma":[0.9989699,0.00008281621,0.00014576934,0.000456187,0.00031095083,0.000034341258],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004038716,0.00030106422,0.0004914673,0.00034227342,0.000058473113,0.000030230767,0.00031242112,0.00021326652,0.00002409541],"category_scores_gemma":[0.00002825565,0.00029965513,0.00005752934,0.0011281616,0.000058607147,0.00012850309,0.000020078542,0.00022197883,0.000030809377],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028860062,0.000023444329,0.000013361345,0.0011391126,0.0000771701,0.000002604784,0.00009356548,0.0029587573,0.918528,0.005883031,0.06546675,0.005785313],"study_design_scores_gemma":[0.00024123791,0.000083964376,0.0000029271105,0.0009916566,0.000026909314,0.000012847223,0.0005388235,0.0044610673,0.9274602,0.00005800879,0.06587635,0.00024601174],"about_ca_topic_score_codex":0.000025244795,"about_ca_topic_score_gemma":5.7287618e-8,"teacher_disagreement_score":0.9901871,"about_ca_system_score_codex":0.00036676292,"about_ca_system_score_gemma":0.00004944066,"threshold_uncertainty_score":0.9999456},"labels":[],"label_agreement":null},{"id":"W7114991867","doi":"10.1002/aisy.70165","title":"Advances in 3D Printing Technologies for Fabricating Magnetic Soft Microrobots","year":2025,"lang":"en","type":"article","venue":"Advanced Intelligent Systems","topic":"Micro and Nano Robotics","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Grippers; Process (computing); 3D printing; Fabrication; Crawling; 3d printed","score_opus":0.008067782685438249,"score_gpt":0.27306966000380684,"score_spread":0.2650018773183686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7114991867","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011138137,0.017084552,0.961923,0.00008716352,0.00082442985,0.0013603303,0.0000140314105,0.00018362403,0.0073847347],"genre_scores_gemma":[0.9844388,0.00026395012,0.013278585,0.000015112875,0.000055639077,0.0002940316,0.000015492544,0.000022501896,0.0016159011],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985546,0.0000241806,0.00055368757,0.0003798253,0.00007422287,0.00041350385],"domain_scores_gemma":[0.99917376,0.00022158583,0.0001853528,0.00030731183,0.00009034708,0.000021659627],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016098349,0.00020847913,0.00032649378,0.00018252524,0.00011287079,0.00004929306,0.00029738338,0.000061156374,0.000009787853],"category_scores_gemma":[0.00005230834,0.00019980903,0.00008422892,0.00036463165,0.00004893741,0.00015962253,0.00009381037,0.00015407288,0.00001779987],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023906718,0.0001107349,0.031075941,0.00036286024,0.00003482992,7.4351647e-7,0.00015596345,0.034659762,0.017324088,0.037480906,0.00008606406,0.8786842],"study_design_scores_gemma":[0.0027959878,0.0003704661,0.0005934182,0.004484299,0.0001549324,0.0000049308933,0.025323573,0.06469296,0.34036145,0.029956883,0.52925277,0.0020083522],"about_ca_topic_score_codex":0.00004023638,"about_ca_topic_score_gemma":0.000006680431,"teacher_disagreement_score":0.97330064,"about_ca_system_score_codex":0.00006867646,"about_ca_system_score_gemma":0.000040183764,"threshold_uncertainty_score":0.8147976},"labels":[],"label_agreement":null},{"id":"W7117305100","doi":"10.1002/aisy.202500786","title":"Contact Force Estimation of Continuum Robots without Embedded Sensors: A Review","year":2025,"lang":"en","type":"article","venue":"Advanced Intelligent Systems","topic":"Soft Robotics and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Rehabilitation Institute; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Contact force; Robot; Haptic technology; Estimation; Robotics","score_opus":0.010572460706525583,"score_gpt":0.28365206114567176,"score_spread":0.2730796004391462,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7117305100","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009031919,0.026776759,0.9539229,0.000065924556,0.00073891657,0.0015338489,0.0000135434275,0.00031166576,0.007604502],"genre_scores_gemma":[0.9917101,0.0032254402,0.0030384406,0.000048152946,0.000023451332,0.00018328594,0.000027886881,0.000025308318,0.0017179062],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99900734,0.000020369796,0.0005479198,0.00015580331,0.000109588895,0.000158954],"domain_scores_gemma":[0.99928516,0.000102750135,0.000106424086,0.00035277492,0.00011189698,0.00004098872],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001219658,0.00014903158,0.00038208519,0.00006821072,0.000030780386,0.000015278667,0.0001290554,0.00005024706,0.0000115467265],"category_scores_gemma":[0.00007850907,0.00014391131,0.00007474705,0.0002612298,0.000015565236,0.000076650846,0.000014275936,0.000084269275,0.000041898464],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000048379134,0.000023220939,0.00013933067,0.003316403,0.00008957077,5.1979254e-7,0.000069432004,0.9703396,0.008747123,0.009668231,0.0022989637,0.0053027677],"study_design_scores_gemma":[0.00045190053,0.000055182005,0.00022683985,0.015096735,0.00017463978,0.0000100813295,0.00026697005,0.8913216,0.069195986,0.00073657173,0.022003317,0.00046016256],"about_ca_topic_score_codex":0.000011072275,"about_ca_topic_score_gemma":0.0000037876398,"teacher_disagreement_score":0.98267823,"about_ca_system_score_codex":0.00006412181,"about_ca_system_score_gemma":0.0000141509445,"threshold_uncertainty_score":0.58685327},"labels":[],"label_agreement":null}]}