{"meta":{"query_hash":"8d9222f38249","filters":{"venue":"Communications Engineering"},"cohort_total":27,"direct_labels_cover":0,"predictions_cover":27,"exported":27,"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/8d9222f38249","api":"https://metacan.xera.ac/api/v1/cohort?venue=Communications+Engineering"},"results":[{"id":"W4366446572","doi":"10.1038/s44172-023-00067-2","title":"Conformal leaky-wave antennas for wireless terahertz communications","year":2023,"lang":"en","type":"article","venue":"Communications Engineering","topic":"Microwave Engineering and Waveguides","field":"Engineering","cited_by":20,"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":"Division of Computer and Network Systems; Air Force Office of Scientific Research; Fonds de recherche du Québec – Nature et technologies; National Science Foundation","keywords":"Terahertz radiation; Conformal antenna; Wireless; Conformal map; Antenna (radio); Transmission (telecommunications); Computer science; Directional antenna; Smart antenna; Physics; Range (aeronautics); Wireless transmission; Wavelength; Slot antenna; Electronic engineering; Optics; Telecommunications; Engineering; Mathematics; Geometry","score_opus":0.049181919085034054,"score_gpt":0.25909603407177256,"score_spread":0.2099141149867385,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366446572","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":[0.08962222,0.011055172,0.85310465,0.002707956,0.0024375545,0.002568716,0.0005835702,0.020108374,0.017811812],"genre_scores_gemma":[0.9704945,0.002130835,0.025814602,0.000028160946,0.00008363231,0.00042647685,0.0004819971,0.00013516865,0.0004045879],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987902,0.000016367703,0.00043576924,0.00016147432,0.00010533049,0.00049088185],"domain_scores_gemma":[0.9964679,0.000449868,0.000033798755,0.0028251212,0.000102523634,0.00012081692],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00030640492,0.0002673602,0.0002643781,0.00034913918,0.0002622439,0.00008563267,0.0013258053,0.00012334011,0.0000078637995],"category_scores_gemma":[0.00008647994,0.0003167402,0.00013515443,0.0006727145,0.00008414894,0.0002088826,0.0003848117,0.0003585775,0.00010643101],"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":[0.000018401259,0.00018819374,0.00025921187,0.0016075372,0.0010110046,0.000011243171,0.0053922385,0.44437173,0.26580304,0.13302761,0.046693664,0.10161612],"study_design_scores_gemma":[0.00023598017,0.000011168928,0.00034663756,0.000082127735,0.000018629567,0.000012546484,0.000102134014,0.7960889,0.0013892672,0.000054787924,0.20135948,0.00029836586],"about_ca_topic_score_codex":0.000007173844,"about_ca_topic_score_gemma":0.000011082039,"teacher_disagreement_score":0.8808723,"about_ca_system_score_codex":0.00009358566,"about_ca_system_score_gemma":0.000021493344,"threshold_uncertainty_score":0.9999285},"labels":[],"label_agreement":null},{"id":"W4380087872","doi":"10.1038/s44172-023-00082-3","title":"Radiative cooling sorbent towards all weather ambient water harvesting","year":2023,"lang":"en","type":"article","venue":"Communications Engineering","topic":"Solar-Powered Water Purification Methods","field":"Energy","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":"Université de Sherbrooke","funders":"David and Lucile Packard Foundation","keywords":"Environmental science; Relative humidity; Cellulose; Materials science; Meteorology; Chemical engineering","score_opus":0.07451868415678786,"score_gpt":0.3163062457629396,"score_spread":0.24178756160615172,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4380087872","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":[0.44381738,0.0039832927,0.4484338,0.014753845,0.003870844,0.0025160916,0.00009472388,0.015263247,0.0672668],"genre_scores_gemma":[0.9042017,0.00022146416,0.093009524,0.000108751134,0.00010180404,0.0002794921,0.00025594875,0.00011185463,0.0017094422],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985066,0.00017890174,0.00040658118,0.0002588492,0.00018658393,0.0004624794],"domain_scores_gemma":[0.9975717,0.0002661957,0.00005909673,0.0018828146,0.00009972423,0.0001204426],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00082369737,0.00020890702,0.00020631513,0.00030937005,0.00021789488,0.00010131713,0.0010033222,0.00009532761,0.00011594271],"category_scores_gemma":[0.00030257454,0.0001937658,0.000093893475,0.0004986246,0.000050308045,0.00020319608,0.000516135,0.0003428912,0.00069465046],"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":[0.0000111538975,0.00010626194,0.00033166533,0.00007290053,0.00029907652,0.000008708049,0.016538795,0.74383295,0.16819146,0.03243359,0.00065539253,0.037518073],"study_design_scores_gemma":[0.0004111802,0.00001783355,0.0060459725,0.000060982606,0.00004583035,0.0000100694315,0.00040747074,0.5345217,0.073186986,0.00054049375,0.3842409,0.0005106035],"about_ca_topic_score_codex":0.00026666495,"about_ca_topic_score_gemma":0.000016245649,"teacher_disagreement_score":0.46038434,"about_ca_system_score_codex":0.00015721946,"about_ca_system_score_gemma":0.000022176057,"threshold_uncertainty_score":0.8928558},"labels":[],"label_agreement":null},{"id":"W4381249596","doi":"10.1038/s44172-023-00088-x","title":"Real-time 4D tracking of airborne virus-laden droplets and aerosols","year":2023,"lang":"en","type":"article","venue":"Communications Engineering","topic":"Viral Infections and Outbreaks Research","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Jewish General Hospital; McGill University","funders":"Environment and Climate Change Canada; Faculty of Medicine and Health, University of Sydney; Canada Foundation for Innovation; McGill University; Faculty of Medicine, McGill University; Natural Sciences and Engineering Research Council of Canada","keywords":"Holography; Tracking (education); Interference (communication); Microfluidics; Microscopy; Virus; Nanoparticle tracking analysis; Materials science; Computer science; Nanotechnology; Optics; Chemistry; Physics; Virology; Biology; Channel (broadcasting); Microvesicles","score_opus":0.04413792699420952,"score_gpt":0.33117505788354384,"score_spread":0.2870371308893343,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381249596","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":[0.99375033,0.0004742539,0.0008102758,0.0011182864,0.000030949966,0.00027869956,0.00001547667,0.00034299347,0.0031787232],"genre_scores_gemma":[0.99366635,0.0022418217,0.0035600152,0.00000726929,0.00002636169,0.00003465603,0.000046041256,0.00002425845,0.00039321848],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99941945,0.000021087184,0.00019235098,0.000097336815,0.00010825355,0.0001615409],"domain_scores_gemma":[0.9989315,0.00016274831,0.000027745426,0.0007190499,0.00008149494,0.00007743848],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021452204,0.00007635709,0.00017078544,0.00022607319,0.000119742916,0.000023525905,0.00015965026,0.000051444455,0.00003596886],"category_scores_gemma":[0.00012531132,0.00007675903,0.000044318538,0.0005821653,0.000083016625,0.00007802976,0.0002311706,0.00019488535,0.000046981946],"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":[0.0000095299065,0.000079482175,0.0014710742,0.00015051896,0.00007796558,0.000006037985,0.00040854843,0.0008207542,0.9851927,0.0023763364,0.00044256466,0.008964471],"study_design_scores_gemma":[0.0017113589,0.0003415001,0.2973263,0.00087438355,0.00015506709,0.00015278698,0.00030790057,0.6120411,0.06995795,0.00009887862,0.016553285,0.0004794871],"about_ca_topic_score_codex":0.00012754713,"about_ca_topic_score_gemma":0.000008024175,"teacher_disagreement_score":0.91523474,"about_ca_system_score_codex":0.000031182783,"about_ca_system_score_gemma":0.000031740798,"threshold_uncertainty_score":0.31301427},"labels":[],"label_agreement":null},{"id":"W4384665564","doi":"10.1038/s44172-023-00097-w","title":"Opportunities and challenges for sweat-based monitoring of metabolic syndrome via wearable technologies","year":2023,"lang":"en","type":"article","venue":"Communications Engineering","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":32,"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":"Wearable computer; Metabolic syndrome; SWEAT; Disease; Computer science; Risk analysis (engineering); Medicine; Key (lock); Intensive care medicine; Diabetes mellitus; Internal medicine; Endocrinology; Embedded system; Computer security","score_opus":0.10969895385960152,"score_gpt":0.2666763482318337,"score_spread":0.1569773943722322,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384665564","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":[0.75964975,0.15964483,0.064846165,0.0014084791,0.0016332518,0.00064792414,0.000092579445,0.01118991,0.0008870887],"genre_scores_gemma":[0.9262491,0.041043423,0.032451153,5.3521427e-7,0.000012016607,0.0001718992,0.000010941783,0.0000403369,0.000020581834],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99948394,0.000008134081,0.00018906406,0.00008342783,0.00004847936,0.00018696142],"domain_scores_gemma":[0.9989982,0.00031601533,0.000025599884,0.0005993793,0.000034025317,0.000026742315],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013367494,0.00011826146,0.00021250991,0.00022451118,0.000069670255,0.0000146465445,0.0002859532,0.00006170269,6.897202e-7],"category_scores_gemma":[0.00010794131,0.00013373684,0.000029369985,0.00016680533,0.00004983519,0.000104933424,0.00008444439,0.00006776153,0.0000016357247],"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":[0.0000028386678,0.000014988474,0.000098367585,0.0011502459,0.000101970625,0.0000029524062,0.00023245593,0.8430333,0.10389691,0.013196925,0.000011064113,0.038257938],"study_design_scores_gemma":[0.00061557733,0.00006598654,0.005946413,0.00084863236,0.00008857284,0.000026078455,0.0019356047,0.7282684,0.20116875,0.0010455868,0.059212703,0.00077773497],"about_ca_topic_score_codex":0.0000029266096,"about_ca_topic_score_gemma":6.6800203e-7,"teacher_disagreement_score":0.16659933,"about_ca_system_score_codex":0.000009691092,"about_ca_system_score_gemma":0.0000049145774,"threshold_uncertainty_score":0.545363},"labels":[],"label_agreement":null},{"id":"W4385240939","doi":"10.1038/s44172-023-00096-x","title":"A symmetry analysis methodology for general energy conversion systems","year":2023,"lang":"en","type":"article","venue":"Communications Engineering","topic":"Advanced Thermodynamics and Statistical Mechanics","field":"Physics and Astronomy","cited_by":10,"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":"Youth Innovation Promotion Association; Youth Innovation Promotion Association of the Chinese Academy of Sciences; National Natural Science Foundation of China","keywords":"Carnot cycle; Symmetry (geometry); Work (physics); Work output; Brayton cycle; Reflection symmetry; Constant (computer programming); Thermodynamic cycle; Rotational symmetry; Energy (signal processing); Theoretical physics; Physics; Statistical physics; Thermodynamics; Mathematics; Mechanics; Computer science; Quantum mechanics; Geometry; Heat exchanger","score_opus":0.04904532824283824,"score_gpt":0.3165746286966541,"score_spread":0.26752930045381584,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385240939","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":[0.0027632494,0.00011017121,0.99637043,0.000053246087,0.000120426,0.00007138177,0.00012287154,0.00007990234,0.00030832173],"genre_scores_gemma":[0.8713809,0.000028212715,0.12762947,0.0000067318024,0.000044223674,0.00013670916,0.0005048183,0.0000165834,0.00025234852],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99951035,0.000038795824,0.00014734051,0.00010818043,0.00003969083,0.00015563417],"domain_scores_gemma":[0.9986882,0.00061197986,0.00003948368,0.0005682841,0.00004816512,0.000043846478],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001540078,0.00007652439,0.0001721717,0.00017477492,0.000104768296,0.00001695453,0.00029027945,0.000026998969,0.0000089593295],"category_scores_gemma":[0.00002388536,0.0000818825,0.000093268376,0.000608106,0.000012163744,0.000028843244,0.00012732329,0.000064251086,0.0000045288134],"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":[0.000001171768,0.000008163547,0.000053881082,0.000006892071,0.00021676645,9.1637204e-8,0.000017897784,0.050417144,0.0009996225,0.9458735,0.000026712287,0.002378153],"study_design_scores_gemma":[0.00009628967,0.0000073853184,0.00008574199,0.000003966092,0.00011241265,1.1803681e-7,0.00006722878,0.9802984,0.00009041741,0.012209901,0.0069397534,0.0000884097],"about_ca_topic_score_codex":0.00007089709,"about_ca_topic_score_gemma":0.0000014723439,"teacher_disagreement_score":0.9336636,"about_ca_system_score_codex":0.00001980201,"about_ca_system_score_gemma":0.000008021104,"threshold_uncertainty_score":0.33390713},"labels":[],"label_agreement":null},{"id":"W4389991213","doi":"10.1038/s44172-023-00135-7","title":"Photonic signal processor based on a Kerr microcomb for real-time video image processing","year":2023,"lang":"en","type":"article","venue":"Communications Engineering","topic":"Advanced Fiber Laser Technologies","field":"Physics and Astronomy","cited_by":56,"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; Chinese Academy of Sciences; Ministère de l'Économie, de la Science et de l'Innovation - Québec","keywords":"Computer science; Signal processing; Image processing; Video processing; Digital signal processing; Photonics; Digital image processing; SIGNAL (programming language); Artificial intelligence; Computer vision; Computer hardware; Optics; Physics; Image (mathematics)","score_opus":0.01461470279379489,"score_gpt":0.27119671727104205,"score_spread":0.25658201447724716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389991213","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":[0.102891,0.0002997607,0.87288857,0.0033795245,0.0000798975,0.0029855121,0.00034787797,0.0067563127,0.010371549],"genre_scores_gemma":[0.8659273,0.000008111697,0.13248032,0.000012512556,0.000026497484,0.0010800461,0.00020354794,0.000056944096,0.00020470549],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999254,0.000008864096,0.00019069089,0.00019436073,0.000072420684,0.00027965422],"domain_scores_gemma":[0.9986637,0.00022170859,0.00007321445,0.0009264386,0.00007979615,0.00003509026],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000106536376,0.00016028825,0.00015755877,0.00017741755,0.00022758797,0.000055688157,0.0007274134,0.00004166064,0.000019801022],"category_scores_gemma":[0.000025980084,0.000173787,0.00007042067,0.0005273117,0.00005314564,0.00015028208,0.00017067594,0.00020179426,0.00006247231],"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":[0.000035193647,0.00032239914,0.00029606646,0.00036550465,0.000083342005,0.000001310308,0.00047052154,0.118799515,0.8193437,0.008012723,0.0017037252,0.050566025],"study_design_scores_gemma":[0.00043210294,0.000033691726,0.00013302623,0.00017659747,0.00001946611,2.492709e-7,0.00012015324,0.91137135,0.07933143,0.0012155377,0.006897976,0.00026840734],"about_ca_topic_score_codex":0.00000515724,"about_ca_topic_score_gemma":4.2410207e-7,"teacher_disagreement_score":0.79257184,"about_ca_system_score_codex":0.00004687684,"about_ca_system_score_gemma":0.000056345718,"threshold_uncertainty_score":0.70868284},"labels":[],"label_agreement":null},{"id":"W4390057178","doi":"10.1038/s44172-023-00150-8","title":"Towards automated sleep-stage classification for adaptive deep brain stimulation targeting sleep in patients with Parkinson’s disease","year":2023,"lang":"en","type":"article","venue":"Communications Engineering","topic":"EEG and Brain-Computer Interfaces","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":"McGill University; York University; University of Toronto","funders":"National Institute of Neurological Disorders and Stroke","keywords":"Deep brain stimulation; Local field potential; Parkinson's disease; Neuroscience; Subthalamic nucleus; Rapid eye movement sleep; Eye movement; Slow-wave sleep; Sleep (system call); Medicine; Psychology; Disease; Audiology; Computer science; Electroencephalography; Pathology","score_opus":0.040980454691535155,"score_gpt":0.2829481112245819,"score_spread":0.24196765653304675,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390057178","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":[0.88705367,0.00006313764,0.10904535,0.0009408918,0.00015541322,0.001070545,0.00008478943,0.0014800519,0.00010614395],"genre_scores_gemma":[0.9873427,0.00000947776,0.011996527,0.00006936123,0.000018260553,0.0002726837,0.00022650784,0.00003852971,0.000025936954],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99886245,0.00009089902,0.00029183106,0.00030614488,0.0001751563,0.0002735328],"domain_scores_gemma":[0.9983519,0.00068803254,0.00010283956,0.000701741,0.00007285662,0.00008263862],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023051331,0.0001595339,0.00013692975,0.00028874044,0.00019202013,0.00007142946,0.0006123699,0.000046457422,0.0000032463763],"category_scores_gemma":[0.00067023566,0.00015938932,0.000039312836,0.0007675162,0.000041960022,0.0003084362,0.00018531438,0.00016410797,0.0000119672795],"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":[0.00010666288,0.00020143983,0.015003834,0.00007659022,0.000015823463,0.000001786384,0.0014699575,0.9643823,0.007443889,0.004082453,0.00022855934,0.0069866977],"study_design_scores_gemma":[0.00048671092,0.00003866622,0.20606905,0.00004661095,0.000005679936,8.2657444e-8,0.000055523455,0.7910258,0.0005717233,0.000028826951,0.0015190715,0.0001522495],"about_ca_topic_score_codex":0.000006663523,"about_ca_topic_score_gemma":0.000009206694,"teacher_disagreement_score":0.19106522,"about_ca_system_score_codex":0.0001236271,"about_ca_system_score_gemma":0.000023159497,"threshold_uncertainty_score":0.64997077},"labels":[],"label_agreement":null},{"id":"W4390782747","doi":"10.1038/s44172-023-00142-8","title":"Time-series forecasting through recurrent topology","year":2024,"lang":"en","type":"article","venue":"Communications Engineering","topic":"Time Series Analysis and Forecasting","field":"Computer Science","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":"Alberta Children's Hospital; University of Calgary","funders":"","keywords":"Interpretability; Computer science; Hyperparameter; Variety (cybernetics); Parameterized complexity; Model selection; Machine learning; Time series; Limit (mathematics); Population; Artificial intelligence; Data mining; Algorithm; Mathematics","score_opus":0.037725514752614285,"score_gpt":0.2587944631805734,"score_spread":0.22106894842795913,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390782747","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":[0.0011195649,0.014117327,0.96120423,0.0040359935,0.0005837427,0.00011780477,0.0000047287035,0.0012414264,0.017575206],"genre_scores_gemma":[0.4157967,0.00043401011,0.5825595,0.00004092552,0.00011925968,0.00004718371,0.000023320285,0.000028831051,0.0009502365],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992421,0.00002466502,0.00023045874,0.00020474337,0.000082006896,0.0002160217],"domain_scores_gemma":[0.9984914,0.00018235398,0.000029776264,0.0012185051,0.000040749463,0.000037220383],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017772996,0.00011558643,0.00013426489,0.00010318643,0.0001883819,0.00022543102,0.0012630025,0.000040464503,0.000027747163],"category_scores_gemma":[0.0000755792,0.00011369407,0.00008505679,0.00062422914,0.000057256344,0.0007313479,0.00080297043,0.00021222848,0.000101871534],"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":[9.198804e-7,0.00002195876,0.000010952627,0.000059213573,0.000087728135,0.000010554632,0.0022756015,0.0059759733,0.00077439967,0.89599067,0.0010059746,0.09378606],"study_design_scores_gemma":[0.000019993773,0.00002196296,0.000012291079,0.00007859901,0.000010068648,0.000053470216,0.00002832851,0.8731972,0.00013276954,0.0013408295,0.12497981,0.00012469348],"about_ca_topic_score_codex":0.000008781095,"about_ca_topic_score_gemma":0.0000048173215,"teacher_disagreement_score":0.8946498,"about_ca_system_score_codex":0.00004610384,"about_ca_system_score_gemma":0.00002630776,"threshold_uncertainty_score":0.46363094},"labels":[],"label_agreement":null},{"id":"W4392880767","doi":"10.1038/s44172-024-00193-5","title":"In-sensor human gait analysis with machine learning in a wearable microfabricated accelerometer","year":2024,"lang":"en","type":"article","venue":"Communications Engineering","topic":"Neural Networks and Reservoir Computing","field":"Computer Science","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Institut interdisciplinaire d'innovation technologique; Centre for Interdisciplinary Research in Rehabilitation; Université de Sherbrooke","funders":"","keywords":"Accelerometer; Wearable computer; Gait analysis; Computer science; Gait; Human–computer interaction; Artificial intelligence; Physical medicine and rehabilitation; Embedded system; Medicine","score_opus":0.020275843599702238,"score_gpt":0.2552019344928341,"score_spread":0.23492609089313188,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392880767","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":[0.44745576,0.013111928,0.5334463,0.0037296256,0.00012225295,0.000307959,0.0000012339461,0.00090438704,0.0009205266],"genre_scores_gemma":[0.95740134,0.00017208052,0.04214252,0.000023671646,0.000012323997,0.000019292696,0.0000064635565,0.0000148176,0.00020747837],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990972,0.000062082334,0.00023915764,0.00025403415,0.00009291997,0.0002545978],"domain_scores_gemma":[0.99880284,0.00018612143,0.000028063483,0.0009201158,0.000021736423,0.000041117397],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023997482,0.00012170801,0.00018630394,0.00082908524,0.00010023144,0.00024238335,0.0012148613,0.000037298254,0.0000062652603],"category_scores_gemma":[0.000011438142,0.00010774968,0.00005741237,0.0042106467,0.00001818024,0.00030654267,0.00056448166,0.0005778988,0.000008197191],"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":[0.0000010797701,0.000045630386,0.007036988,0.000036649988,0.00011651206,0.000053260417,0.0005118068,0.981084,0.0067096595,0.0021525421,0.000022485583,0.0022294044],"study_design_scores_gemma":[0.00009463388,0.000015546299,0.0071529746,0.00014210262,0.00001459555,0.000009743042,0.000007122203,0.9900175,0.00015141182,0.00002238319,0.0022323346,0.0001396698],"about_ca_topic_score_codex":0.00019426661,"about_ca_topic_score_gemma":0.00014546976,"teacher_disagreement_score":0.5099456,"about_ca_system_score_codex":0.000066299974,"about_ca_system_score_gemma":0.000014753081,"threshold_uncertainty_score":0.43939042},"labels":[],"label_agreement":null},{"id":"W4392939242","doi":"10.1038/s44172-024-00194-4","title":"Radar near-field sensing using metasurface for biomedical applications","year":2024,"lang":"en","type":"article","venue":"Communications Engineering","topic":"Antenna Design and Analysis","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 Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Radar; Near and far field; Imaging phantom; Sensitivity (control systems); Poynting vector; Extremely high frequency; SIGNAL (programming language); Computer science; Noise (video); Electronic engineering; Acoustics; Optics; Physics; Engineering; Telecommunications","score_opus":0.03023385798903808,"score_gpt":0.2755449365090459,"score_spread":0.2453110785200078,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392939242","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":[0.00063349336,0.0096342685,0.98801696,0.00031254417,0.00012923017,0.00020163595,0.000019069212,0.00087042927,0.00018236646],"genre_scores_gemma":[0.58634263,0.00033551184,0.41303176,0.000020655054,0.00007625867,0.00004466623,0.0000493818,0.000060124134,0.00003900989],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99932873,0.000010777895,0.00023296787,0.00013608106,0.00008463922,0.00020678321],"domain_scores_gemma":[0.998782,0.00035235524,0.0000110239525,0.0007413011,0.000035782963,0.00007755887],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016994725,0.0001367842,0.00016074306,0.00015943951,0.00016808277,0.00013185121,0.00034735794,0.000075165655,0.000009832613],"category_scores_gemma":[0.00003687644,0.00014892864,0.00012594773,0.0006109905,0.00003993638,0.00011457361,0.000065274086,0.00021520787,0.000021600197],"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":[0.0000034965774,0.00005858935,0.000011642615,0.0010521918,0.0011478107,0.0000072993175,0.0008154754,0.12335629,0.76652277,0.026375657,0.002153431,0.078495316],"study_design_scores_gemma":[0.00004073282,0.0000042404695,0.0000015786094,0.00007246761,0.00009254579,0.000010400902,0.000033700595,0.86657184,0.00055737165,0.00009669989,0.13237731,0.0001410767],"about_ca_topic_score_codex":0.000009236811,"about_ca_topic_score_gemma":0.000001680117,"teacher_disagreement_score":0.7659654,"about_ca_system_score_codex":0.00007513466,"about_ca_system_score_gemma":0.000028123473,"threshold_uncertainty_score":0.60731333},"labels":[],"label_agreement":null},{"id":"W4393336876","doi":"10.1038/s44172-024-00206-3","title":"Curving THz wireless data links around obstacles","year":2024,"lang":"en","type":"article","venue":"Communications Engineering","topic":"Millimeter-Wave Propagation and Modeling","field":"Engineering","cited_by":45,"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":"Army Research Laboratory; Air Force Office of Scientific Research; Fonds de recherche du Québec – Nature et technologies; Cisco Systems; U.S. Department of Defense; National Science Foundation","keywords":"Wireless; Terahertz radiation; Computer science; Telecommunications; Electrical engineering; Optoelectronics; Engineering; Physics","score_opus":0.08461515027682881,"score_gpt":0.2860190765414893,"score_spread":0.20140392626466047,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393336876","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":[0.02432109,0.02498181,0.944587,0.0002895444,0.00064989505,0.0001553155,0.00005259072,0.0022901264,0.0026726131],"genre_scores_gemma":[0.9712613,0.0028775777,0.025284898,0.00002046459,0.00012118254,0.00003260447,0.00026328978,0.00008239952,0.000056282322],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991459,0.000017281913,0.00028935238,0.00020907744,0.00011422186,0.00022414012],"domain_scores_gemma":[0.99723816,0.00020004198,0.000012147312,0.0024397876,0.000035625013,0.00007425885],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025453535,0.0001700836,0.00013891036,0.00019396404,0.00010674063,0.00022539985,0.0013217938,0.00011326735,0.000020167436],"category_scores_gemma":[0.000047727834,0.00018997397,0.000042688465,0.00032508065,0.00002475278,0.0004417608,0.0005365009,0.0006424772,0.00009117473],"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":[0.0000015506523,0.000048252597,0.000073804804,0.001120867,0.0004010729,0.000013992847,0.0018991372,0.6216313,0.14631473,0.011710681,0.0028626325,0.21392198],"study_design_scores_gemma":[0.000043936434,0.0000024531364,0.000021307933,0.00022009402,0.00002292813,0.000010254647,0.00006372682,0.9553296,0.0017402178,0.00007650021,0.04226089,0.00020806979],"about_ca_topic_score_codex":0.000008492128,"about_ca_topic_score_gemma":0.0000113623355,"teacher_disagreement_score":0.9469402,"about_ca_system_score_codex":0.00007703334,"about_ca_system_score_gemma":0.000021523709,"threshold_uncertainty_score":0.77469134},"labels":[],"label_agreement":null},{"id":"W4393903368","doi":"10.1038/s44172-024-00204-5","title":"Meso-scale seabed quantification with geoacoustic inversion","year":2024,"lang":"en","type":"article","venue":"Communications Engineering","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","cited_by":9,"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 Victoria; University of Calgary","funders":"Office of Naval Research; Alliance de recherche numérique du Canada; University of Waterloo; Simon Fraser University; Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Seabed; Geology; Inversion (geology); Scale (ratio); Oceanography; Seismology; Geography; Cartography","score_opus":0.030687229905959883,"score_gpt":0.24776228684570925,"score_spread":0.21707505693974938,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393903368","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":[0.0627573,0.004111918,0.9223594,0.0019216429,0.00027022508,0.00041296496,0.00007535606,0.00080016267,0.007291034],"genre_scores_gemma":[0.97057575,0.0002480582,0.028586412,0.000011736953,0.0000253268,0.000005193678,0.00023014311,0.000008642018,0.0003087621],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993053,0.0000319905,0.00011912831,0.00015945444,0.00019009737,0.00019399969],"domain_scores_gemma":[0.99884003,0.00025925002,0.000011299818,0.00076021533,0.000046333524,0.00008287472],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021352219,0.00008869056,0.00007307122,0.00019486716,0.00014691145,0.00017239951,0.0005240964,0.00003973934,0.00018768621],"category_scores_gemma":[0.000021723725,0.00007353045,0.000021585407,0.0004893353,0.00006706269,0.00020653101,0.000043674707,0.00025235483,0.00036409913],"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":[0.000008763522,0.000022475604,0.0047771963,0.00020126002,0.00005568071,0.0000095152445,0.00067887205,0.9618734,0.008562615,0.00042074476,0.0006299195,0.02275955],"study_design_scores_gemma":[0.000046261895,0.000022364684,0.007505925,0.00006908907,0.000017105023,0.000011353277,0.000068921334,0.9855021,0.00031472667,0.000045203004,0.0062944796,0.00010247223],"about_ca_topic_score_codex":0.00021729265,"about_ca_topic_score_gemma":0.0002546653,"teacher_disagreement_score":0.90781844,"about_ca_system_score_codex":0.000018038594,"about_ca_system_score_gemma":0.000055342512,"threshold_uncertainty_score":0.46798792},"labels":[],"label_agreement":null},{"id":"W4396956461","doi":"10.1038/s44172-024-00215-2","title":"Ex vivo validation of magnetically actuated intravascular untethered robots in a clinical setting","year":2024,"lang":"en","type":"article","venue":"Communications Engineering","topic":"Micro and Nano Robotics","field":"Physics and Astronomy","cited_by":18,"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":"Radboud Universitair Medisch Centrum","keywords":"Robot; Ex vivo; Limiting; Biomedical engineering; Flexibility (engineering); Abdominal aorta; Surgical robot; Computer science; Aorta; Engineering; Simulation; Surgery; Artificial intelligence; In vivo; Mechanical engineering; Medicine; Mathematics","score_opus":0.017284584369124063,"score_gpt":0.29535144806415653,"score_spread":0.2780668636950325,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396956461","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":[0.63664967,0.0025955597,0.35536376,0.00060698227,0.00029667295,0.00044253972,0.000029447192,0.00018916042,0.0038262245],"genre_scores_gemma":[0.9754681,0.00007079644,0.024292381,0.0000038051721,0.00004185902,0.0000104725905,0.000043816923,0.000019155788,0.000049636812],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992096,0.00006182851,0.00042796548,0.0001164749,0.000059619426,0.00012452395],"domain_scores_gemma":[0.9989532,0.00030048552,0.000036487443,0.00063705,0.000038623024,0.000034124772],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003632028,0.00008813792,0.0001502125,0.000106259875,0.000022798482,0.000031560157,0.00032922465,0.000043935448,0.00010306865],"category_scores_gemma":[0.000036740086,0.000093350805,0.00008516854,0.00030360007,0.00003387691,0.00007030798,0.00013049899,0.00026596786,0.000016260266],"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":[0.00001789403,0.0009865151,0.027457366,0.0005139954,0.00073304935,0.0000072256958,0.0037669223,0.34786025,0.23131473,0.17932984,0.00072514836,0.20728706],"study_design_scores_gemma":[0.00066172157,0.00005461621,0.0070100436,0.0007778744,0.00011618389,0.000002434759,0.00020646083,0.9579731,0.024092399,0.0010899839,0.0076042125,0.0004109535],"about_ca_topic_score_codex":0.000033198827,"about_ca_topic_score_gemma":0.0000020654804,"teacher_disagreement_score":0.61011285,"about_ca_system_score_codex":0.00001870901,"about_ca_system_score_gemma":0.00004440849,"threshold_uncertainty_score":0.38067353},"labels":[],"label_agreement":null},{"id":"W4401793377","doi":"10.1038/s44172-024-00267-4","title":"Hybrid graphenic and iron oxide photocatalysts for the decomposition of synthetic chemicals","year":2024,"lang":"en","type":"article","venue":"Communications Engineering","topic":"Per- and polyfluoroalkyl substances research","field":"Environmental Science","cited_by":26,"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 Hospital; University of British Columbia","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Perfluorooctanoic acid; Degradation (telecommunications); Decomposition; Photocatalysis; Environmental chemistry; Oxide; Iron oxide; Catalysis; Carbon fibers; Environmental science; Chemistry; Materials science; Composite number; Computer science; Organic chemistry","score_opus":0.015265521470573926,"score_gpt":0.2885772890570446,"score_spread":0.2733117675864707,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401793377","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":[0.92657906,0.0520428,0.019370701,0.00064036995,0.000044886492,0.00047428304,0.000028867962,0.0000725904,0.00074641145],"genre_scores_gemma":[0.9950322,0.0018400019,0.0029197005,0.0000064751544,0.000005246681,0.00013859355,0.000012845413,0.000009576912,0.00003538242],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995972,0.000011236737,0.00011125148,0.00009508031,0.00007732106,0.00010790781],"domain_scores_gemma":[0.99895996,0.0004545679,0.000012271461,0.0005376018,0.0000042746615,0.000031353684],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016514961,0.00005670831,0.000060586008,0.000028769013,0.00008458413,0.000024081737,0.0003978799,0.000016116534,0.000037051126],"category_scores_gemma":[0.00002374776,0.00004485886,0.00003914112,0.00012497598,0.00013093566,0.00007604982,0.00017809689,0.000091860726,0.000010729916],"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":[0.000007726343,0.00003648278,0.00041687614,0.00015056002,0.00003854396,4.816389e-7,0.00045164002,0.004683761,0.92239094,0.0018143905,0.0005529119,0.06945569],"study_design_scores_gemma":[0.00014755261,0.000026007217,0.004833688,0.00016823028,0.00005722361,0.000026350268,0.00005635507,0.7421262,0.20762712,0.00066619046,0.044069715,0.0001953687],"about_ca_topic_score_codex":0.00003815548,"about_ca_topic_score_gemma":0.000009287312,"teacher_disagreement_score":0.73744243,"about_ca_system_score_codex":0.00003707999,"about_ca_system_score_gemma":0.0000036816548,"threshold_uncertainty_score":0.18292913},"labels":[],"label_agreement":null},{"id":"W4404018703","doi":"10.1038/s44172-024-00301-5","title":"Delay drift compensation of an optoelectronic oscillator over a large temperature range through continuous tuning","year":2024,"lang":"en","type":"article","venue":"Communications Engineering","topic":"Advanced Photonic Communication Systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Nanowave Technologies (Canada); University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; University of Ottawa","keywords":"Compensation (psychology); Optoelectronics; Range (aeronautics); Atmospheric temperature range; Materials science; Frequency drift; Physics; Optics; Local oscillator; Phase noise; Psychology; Meteorology","score_opus":0.011171021556362617,"score_gpt":0.26358585722690203,"score_spread":0.2524148356705394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404018703","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":[0.72378397,0.087577105,0.17248641,0.00022819087,0.001045726,0.0013565776,0.00020124088,0.0046325754,0.008688229],"genre_scores_gemma":[0.97437274,0.0010377162,0.02410255,0.000013509565,0.0000492241,0.00012732841,0.00014959407,0.000107914035,0.000039441486],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987486,0.00007590562,0.0004590664,0.00020319624,0.00018329217,0.00032992032],"domain_scores_gemma":[0.9971094,0.00029332304,0.00005305792,0.0023783564,0.00009358592,0.000072274226],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00031624534,0.00024861094,0.00032531226,0.00019593767,0.00013070935,0.000091765956,0.0010023047,0.00014267844,0.000037955884],"category_scores_gemma":[0.000041263014,0.00028136498,0.00010007778,0.00068665994,0.000046052846,0.0006149962,0.00020154974,0.0006359699,0.000016520537],"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":[0.000017400464,0.00020648427,0.0004274571,0.0011553322,0.000732051,0.000012454889,0.012042138,0.24988809,0.45390618,0.27514738,0.00090398215,0.005561071],"study_design_scores_gemma":[0.00035087627,0.000029608165,0.00030071533,0.0004321945,0.000037602837,0.000040440274,0.00028042798,0.8891453,0.0028881668,0.00009998584,0.106026985,0.00036766243],"about_ca_topic_score_codex":0.000022158896,"about_ca_topic_score_gemma":0.000053096235,"teacher_disagreement_score":0.63925725,"about_ca_system_score_codex":0.00030734792,"about_ca_system_score_gemma":0.000050455932,"threshold_uncertainty_score":0.9999639},"labels":[],"label_agreement":null},{"id":"W4404678103","doi":"10.1038/s44172-024-00319-9","title":"Insights from a multiscale framework on metabolic rate variation driving glioblastoma multiforme growth and invasion","year":2024,"lang":"en","type":"article","venue":"Communications Engineering","topic":"Mathematical Biology Tumor Growth","field":"Mathematics","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":"University of British Columbia; University of Manitoba; University of Victoria","funders":"British Columbia Knowledge Development Fund; BC Cancer Foundation; Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Temozolomide; Glioblastoma; In vitro; Biology; In silico; Spheroid; Cancer cell; Immune system; Cancer research; U87; Biological system; Computational biology; Cancer; Neuroscience; Immunology; Gene; Biochemistry; Genetics","score_opus":0.02488527690742927,"score_gpt":0.27560875053043415,"score_spread":0.2507234736230049,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404678103","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":[0.8003287,0.0020132917,0.19510569,0.0006129174,0.00021846143,0.00039855082,0.0000186039,0.00078847655,0.0005153367],"genre_scores_gemma":[0.8451168,0.0002122067,0.15442005,0.000029621868,0.00005705357,0.00009468191,0.000011940493,0.00004362266,0.000014001829],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99899554,0.00008715187,0.00035551313,0.0002710313,0.00011439988,0.00017637202],"domain_scores_gemma":[0.9928225,0.0059530255,0.00005779968,0.0010549026,0.0000352249,0.00007652291],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018179517,0.0002143148,0.00027298144,0.00023132931,0.00015560702,0.00009892875,0.00044883677,0.00015548903,0.000018052639],"category_scores_gemma":[0.0028483344,0.00018807803,0.000061685394,0.0003514026,0.000059991853,0.00018571762,0.00035137037,0.0005136516,0.0000592648],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000037509774,0.00007038463,0.000051357692,0.00012328399,0.00007679903,0.0000033146605,0.0017624099,0.000031803633,0.021819465,0.9756231,0.0000253534,0.00040902026],"study_design_scores_gemma":[0.00021853692,0.000053633343,0.0059410986,0.0017270447,0.0001277644,0.000009955977,0.00007331709,0.4568055,0.009007719,0.52507454,0.0005436425,0.00041723088],"about_ca_topic_score_codex":0.000012125355,"about_ca_topic_score_gemma":0.000013562657,"teacher_disagreement_score":0.4567737,"about_ca_system_score_codex":0.00003815415,"about_ca_system_score_gemma":0.00001513143,"threshold_uncertainty_score":0.76695997},"labels":[],"label_agreement":null},{"id":"W4405511913","doi":"10.1038/s44172-024-00328-8","title":"Implantable silicon neural probes with nanophotonic phased arrays for single-lobe beam steering","year":2024,"lang":"en","type":"article","venue":"Communications Engineering","topic":"Photoreceptor and optogenetics research","field":"Neuroscience","cited_by":7,"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 Western Hospital; University Health Network; Ontario Brain Institute; Centre for Addiction and Mental Health; University of Toronto","funders":"Fraunhofer-Institut für Zelltherapie und Immunologie; Natural Sciences and Engineering Research Council of Canada; Max-Planck-Gesellschaft","keywords":"Phased-array optics; Optogenetics; Beam steering; Phased array; Materials science; Nanophotonics; Grating; Optics; Beam (structure); Optoelectronics; Computer science; Physics; Telecommunications; Neuroscience","score_opus":0.0676385605832585,"score_gpt":0.30838933381860606,"score_spread":0.24075077323534755,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405511913","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":[0.95875525,0.004563973,0.027066728,0.00040792677,0.0005741584,0.0019696883,0.0001894415,0.0011522342,0.005320591],"genre_scores_gemma":[0.99446607,0.00016631246,0.004643265,0.000019977473,0.000046464,0.0004390775,0.000020832587,0.00005990017,0.00013809645],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989454,0.000023461916,0.00018601866,0.00028943215,0.00016970975,0.00038597453],"domain_scores_gemma":[0.9983875,0.000552952,0.000020789088,0.00090296974,0.000040600255,0.00009515023],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013447947,0.00016124886,0.0001475538,0.00018854426,0.00022319796,0.0002481913,0.0008524658,0.000045522644,0.0000120943205],"category_scores_gemma":[0.00009926676,0.00014884515,0.00006078628,0.0004702789,0.00007421667,0.00019687868,0.00014515154,0.00025337774,0.000011969429],"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":[0.000011327261,0.000052944477,0.000008178189,0.000118357246,0.000009652971,0.0000015172362,0.00017819933,0.009582033,0.9883648,0.00073544437,0.00004266814,0.00089488836],"study_design_scores_gemma":[0.00018118368,0.00010283108,0.0000059893127,0.0000891933,0.000009975922,0.00004262149,0.000019295892,0.22047953,0.75353044,0.000016643204,0.025372868,0.00014943267],"about_ca_topic_score_codex":0.0000090867725,"about_ca_topic_score_gemma":0.0000058980227,"teacher_disagreement_score":0.23483436,"about_ca_system_score_codex":0.00010528,"about_ca_system_score_gemma":0.00006225801,"threshold_uncertainty_score":0.60697293},"labels":[],"label_agreement":null},{"id":"W4407080944","doi":"10.1038/s44172-025-00353-1","title":"Author Correction: Ex vivo validation of magnetically actuated intravascular untethered robots in a clinical setting","year":2025,"lang":"en","type":"article","venue":"Communications Engineering","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 Waterloo","funders":"","keywords":"Ex vivo; Robot; Computer science; Biomedical engineering; Artificial intelligence; Engineering; In vivo; Biology","score_opus":0.019114807870150765,"score_gpt":0.2981959752825568,"score_spread":0.2790811674124061,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407080944","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":[0.21997498,0.001929029,0.76766086,0.0013554629,0.0011653503,0.00084323593,0.00001207977,0.00092276675,0.0061362544],"genre_scores_gemma":[0.96333706,0.0002289719,0.03612842,0.000012564368,0.000020789772,0.00007795495,0.000029601983,0.00002685995,0.00013778465],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988884,0.0000509407,0.0006660206,0.000143121,0.00008297412,0.00016855978],"domain_scores_gemma":[0.9982149,0.00050831435,0.00004701289,0.0010962106,0.00008711373,0.00004643076],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041800525,0.00013300545,0.00022529258,0.00023875778,0.00005020518,0.00002685549,0.00050164585,0.00012723588,0.000021815757],"category_scores_gemma":[0.0003267117,0.00016167041,0.00008013019,0.00081287866,0.000051697116,0.000068212306,0.00012343592,0.00037266678,0.000008191091],"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":[0.0000025439729,0.000105788386,0.001867464,0.000077922865,0.000078367426,4.1452387e-7,0.00020162805,0.96602356,0.010790038,0.005252518,0.00071418047,0.014885593],"study_design_scores_gemma":[0.0002881546,0.000011668856,0.015179803,0.00019996175,0.000038552564,0.0000018891844,0.000066045606,0.97451377,0.0051120482,0.000155892,0.004270678,0.00016153353],"about_ca_topic_score_codex":0.000016454454,"about_ca_topic_score_gemma":0.00001578224,"teacher_disagreement_score":0.74336207,"about_ca_system_score_codex":0.0000745258,"about_ca_system_score_gemma":0.000034209595,"threshold_uncertainty_score":0.6592728},"labels":[],"label_agreement":null},{"id":"W4408963639","doi":"10.1038/s44172-025-00399-1","title":"Author Correction: Insights from a multiscale framework on metabolic rate variation driving glioblastoma multiforme growth and invasion","year":2025,"lang":"en","type":"erratum","venue":"Communications Engineering","topic":"Cancer, Hypoxia, and Metabolism","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":"University of British Columbia; University of Manitoba; University of Victoria","funders":"","keywords":"Glioblastoma; Variation (astronomy); Biology; Cancer research; Physics; Astrophysics","score_opus":0.009257384004035366,"score_gpt":0.2428336575009993,"score_spread":0.23357627349696394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408963639","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":[0.08634748,0.332263,0.31023273,0.0025950556,0.25265986,0.0039542685,0.0008210528,0.001061082,0.010065451],"genre_scores_gemma":[0.7542199,0.121717356,0.051412985,0.00067466125,0.014254463,0.0011167048,0.0059865927,0.00037845102,0.0502389],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986651,0.000100644545,0.00036763077,0.0005039435,0.00013615668,0.00022651699],"domain_scores_gemma":[0.99766856,0.00023776611,0.0001790524,0.0016924754,0.00012665676,0.00009550618],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000116462936,0.00037600903,0.0003998442,0.00027485474,0.0002952007,0.00009093053,0.0006233992,0.0007514499,0.000006307548],"category_scores_gemma":[0.0011644552,0.00041062018,0.00012964691,0.0003074195,0.000056479807,0.000015377731,0.0005941077,0.0009507408,0.0000058187275],"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":[0.0003063099,0.0007679586,0.00020410391,0.0006434201,0.0021917685,0.0000037586829,0.004004498,0.006662879,0.41736504,0.015919343,0.51160306,0.040327862],"study_design_scores_gemma":[0.00040455488,0.00007269838,0.0071769906,0.0010951142,0.00022921774,0.0000045444385,0.00004657332,0.027817437,0.007915003,0.00022131565,0.9543954,0.00062114303],"about_ca_topic_score_codex":0.00013008219,"about_ca_topic_score_gemma":0.0002524781,"teacher_disagreement_score":0.6678724,"about_ca_system_score_codex":0.000037811,"about_ca_system_score_gemma":0.00014447216,"threshold_uncertainty_score":0.99983454},"labels":[],"label_agreement":null},{"id":"W4409286398","doi":"10.1038/s44172-025-00408-3","title":"A photonic crystal receiver for Rydberg atom-based sensing","year":2025,"lang":"en","type":"article","venue":"Communications Engineering","topic":"Photonic and Optical Devices","field":"Engineering","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":"University of Waterloo","funders":"FedDev Ontario; Defence Research and Development Canada; Advanced Research Projects Agency; Defense Advanced Research Projects Agency; U.S. Department of Defense","keywords":"Photonic crystal; Atom (system on chip); Rydberg formula; Photonics; Rydberg atom; Optoelectronics; Physics; Materials science; Atomic physics; Computer science; Quantum mechanics; Ion","score_opus":0.01387082983238374,"score_gpt":0.2455041609367416,"score_spread":0.23163333110435785,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409286398","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":[0.03542831,0.00576182,0.9217096,0.0005572799,0.00054783805,0.00070377596,0.00003770904,0.0016106229,0.033643052],"genre_scores_gemma":[0.9080654,0.0001467555,0.091448024,0.00008222361,0.000014615373,0.00007435015,0.000034335346,0.000033102486,0.00010119783],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993538,0.000010091897,0.0002143018,0.000119472075,0.000055943943,0.0002463526],"domain_scores_gemma":[0.99854964,0.00038823896,0.000014427263,0.00094028993,0.00005447378,0.00005294738],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001144635,0.00014571779,0.00016523324,0.00015316902,0.00011795734,0.00004288502,0.00044690561,0.00008042359,0.000009449004],"category_scores_gemma":[0.000056611076,0.0001683102,0.0000891003,0.00033440563,0.000036934412,0.00008222955,0.00008007518,0.00020065597,0.000009516005],"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":[0.000024682355,0.00010884262,0.000097458294,0.0012532502,0.00043712129,0.0000029974447,0.00036672398,0.7651801,0.09676378,0.11567306,0.002253307,0.017838655],"study_design_scores_gemma":[0.00025540177,0.000005163661,0.00013700646,0.00013051339,0.000027868204,0.0000010093318,0.000017615386,0.84182894,0.006499939,0.0001411935,0.1508085,0.0001468774],"about_ca_topic_score_codex":0.0000062007316,"about_ca_topic_score_gemma":0.000015953994,"teacher_disagreement_score":0.8726371,"about_ca_system_score_codex":0.00012836269,"about_ca_system_score_gemma":0.00003932396,"threshold_uncertainty_score":0.6863491},"labels":[],"label_agreement":null},{"id":"W4409869426","doi":"10.1038/s44172-025-00409-2","title":"Thermal fault detection of lithium-ion battery packs through an integrated physics and deep neural network based model","year":2025,"lang":"en","type":"article","venue":"Communications Engineering","topic":"Advanced Battery Technologies Research","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":"McMaster University","funders":"","keywords":"Artificial neural network; Battery (electricity); Lithium (medication); Fault (geology); Ion; Lithium-ion battery; Computer science; Physics; Engineering physics; Artificial intelligence; Psychology; Geology; Seismology; Thermodynamics; Quantum mechanics","score_opus":0.024940483059757698,"score_gpt":0.2761954118693037,"score_spread":0.251254928809546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409869426","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":[0.098543756,0.0009702678,0.8992545,0.00008343895,0.00006658146,0.00015558983,0.000006127205,0.00064390776,0.00027583446],"genre_scores_gemma":[0.9376915,0.00022859541,0.061909642,0.000017412767,0.000014433925,0.00007138802,0.000028935672,0.000032097476,0.0000059866984],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99931127,0.000030169209,0.00021990231,0.00013188807,0.00007787866,0.00022891944],"domain_scores_gemma":[0.9985663,0.00015715306,0.000026123524,0.0011513202,0.00007309236,0.000025964246],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008617574,0.00015599802,0.00016772663,0.00010147246,0.00009711715,0.000025742032,0.0005292872,0.00011181278,0.0000014210717],"category_scores_gemma":[0.00004914505,0.00016906427,0.000032778193,0.00055900397,0.00008907985,0.00035307123,0.0002060274,0.0004991251,6.7851175e-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":[0.0000038026103,0.000014756534,0.00007227814,0.000054943655,0.000018807294,1.6653405e-7,0.00006301024,0.88672024,0.08519348,0.00049155677,0.0000050837725,0.027361885],"study_design_scores_gemma":[0.00014509843,0.000017041266,0.00028189574,0.000061360515,0.000010460505,5.440518e-7,0.000049416543,0.9683832,0.030317428,0.00025070162,0.00035591575,0.00012692227],"about_ca_topic_score_codex":0.0000077638615,"about_ca_topic_score_gemma":0.000020031204,"teacher_disagreement_score":0.83914775,"about_ca_system_score_codex":0.00008300607,"about_ca_system_score_gemma":0.000010424447,"threshold_uncertainty_score":0.6894241},"labels":[],"label_agreement":null},{"id":"W4410775971","doi":"10.1038/s44172-025-00425-2","title":"Flexible screen-printed SiC-based humidity sensors","year":2025,"lang":"en","type":"article","venue":"Communications Engineering","topic":"Advanced Sensor and Energy Harvesting Materials","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":"Université du Québec à Trois-Rivières; École de Technologie Supérieure","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Institut de Recherche Robert-Sauvé en Santé et en Sécurité du Travail; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Materials science; 3d printed; Humidity; Optoelectronics; Computer science; Biomedical engineering; Engineering; Physics","score_opus":0.02551237374837,"score_gpt":0.26410290237865564,"score_spread":0.23859052863028563,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410775971","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":[0.14098439,0.0014475721,0.80995196,0.00037293555,0.0020240825,0.00030261942,0.00004326604,0.006649502,0.038223688],"genre_scores_gemma":[0.9565621,0.000111242385,0.04287476,0.00003170198,0.000033937813,0.000043575477,0.000056505323,0.000042077223,0.0002440977],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99926513,0.000024877145,0.00026406808,0.00012878703,0.00006593533,0.00025119004],"domain_scores_gemma":[0.9982367,0.00026350762,0.000020078249,0.0013666529,0.00005364119,0.00005942589],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011726915,0.0001760503,0.00018725818,0.00019523971,0.0001290722,0.000047756315,0.0005689361,0.0000754541,0.000028262415],"category_scores_gemma":[0.00018438512,0.000208975,0.000055626082,0.00041240768,0.000043628334,0.00010131659,0.00012095676,0.00020935666,0.000031029405],"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":[0.0000017805752,0.0000134660095,0.000037780002,0.00006289507,0.000026499258,6.5463206e-7,0.000015707177,0.9311502,0.060714383,0.0067786532,0.00031294886,0.0008850199],"study_design_scores_gemma":[0.00027943315,0.0000060684483,0.0011252498,0.00019432629,0.000024038358,0.0000014379791,0.000018938132,0.73558223,0.17956753,0.0001581602,0.08272145,0.00032115914],"about_ca_topic_score_codex":0.000019299745,"about_ca_topic_score_gemma":0.0000072715,"teacher_disagreement_score":0.8155777,"about_ca_system_score_codex":0.00009128333,"about_ca_system_score_gemma":0.000016410295,"threshold_uncertainty_score":0.85217535},"labels":[],"label_agreement":null},{"id":"W4414601203","doi":"10.1038/s44172-025-00504-4","title":"Neural spike compression through salient sample extraction and curve fitting dedicated to high-density brain implants","year":2025,"lang":"en","type":"article","venue":"Communications Engineering","topic":"Neuroscience and Neural Engineering","field":"Neuroscience","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":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Spike (software development); Data compression; Brain implant; Pattern recognition (psychology); Salient; SIGNAL (programming language); Neural decoding; Artificial neural network; Neural engineering","score_opus":0.045796219761451575,"score_gpt":0.3310117164658214,"score_spread":0.2852154967043698,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414601203","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":[0.94125867,0.00010819294,0.053958725,0.003308326,0.0005177095,0.00030888224,0.000019188974,0.00038919816,0.00013112444],"genre_scores_gemma":[0.99287736,0.00013379742,0.0057481066,0.0011117164,0.000021545296,0.000035982626,0.000007902293,0.00001807291,0.00004550077],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988413,0.000069006506,0.00026793368,0.0003625122,0.00015495434,0.00030432877],"domain_scores_gemma":[0.99779314,0.0011797751,0.00005367272,0.0008483843,0.000025908854,0.00009909494],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001498214,0.00017240638,0.0001702767,0.00018930681,0.0004329182,0.00009929376,0.0006376663,0.000053276908,0.0000034666953],"category_scores_gemma":[0.0013817011,0.000179995,0.000032922722,0.00073224516,0.00006188062,0.00036579146,0.00066232216,0.00034792259,0.000006705911],"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":[0.0000061208925,0.00003215752,0.00020575689,0.000024020248,0.0000019441954,0.000003310881,0.00015271788,0.007596454,0.9842537,0.0040840576,0.00020513819,0.0034346308],"study_design_scores_gemma":[0.00034216003,0.00004581103,0.01657638,0.00021019547,0.0000141422115,0.000043865715,0.000044755514,0.31190866,0.6603375,0.00029054133,0.00984407,0.00034193],"about_ca_topic_score_codex":0.00013953909,"about_ca_topic_score_gemma":0.000012058514,"teacher_disagreement_score":0.3239162,"about_ca_system_score_codex":0.000052371895,"about_ca_system_score_gemma":0.00001493625,"threshold_uncertainty_score":0.7339983},"labels":[],"label_agreement":null},{"id":"W4414890903","doi":"10.1038/s44172-025-00506-2","title":"Vanadium dioxide thin films integrated with printed circuit board enables low-cost, reconfigurable millimeter-wave devices","year":2025,"lang":"en","type":"article","venue":"Communications Engineering","topic":"Photonic and Optical Devices","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":"Institut National de la Recherche Scientifique","funders":"Fonds de recherche du Québec – Nature et technologies","keywords":"Printed circuit board; Fabrication; Substrate (aquarium); Thin film; Vanadium dioxide; Power consumption; Broadband; Integrated circuit","score_opus":0.019443292626876822,"score_gpt":0.21711912209409193,"score_spread":0.1976758294672151,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414890903","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":[0.2505485,0.019187978,0.37329546,0.0010412164,0.001233194,0.0025768213,0.00018216959,0.0058454904,0.34608915],"genre_scores_gemma":[0.9818408,0.0006554565,0.016402837,0.000102606115,0.000011336974,0.00022853418,0.000093019305,0.000057997004,0.0006074316],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99882084,0.00003089901,0.0003842458,0.00022864474,0.000111721216,0.00042365096],"domain_scores_gemma":[0.9979145,0.00032709364,0.000038664242,0.0014812892,0.000110533954,0.00012789771],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00016432322,0.0002975522,0.00032744807,0.00027373628,0.00014744246,0.000113410344,0.00088449655,0.00012955912,0.000074887226],"category_scores_gemma":[0.00008447002,0.00027804318,0.00007286428,0.00076794275,0.00007370932,0.00025339864,0.00010560436,0.0005593136,0.000035358134],"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":[0.000056859302,0.00038446274,0.0015008815,0.0025808814,0.0026302298,0.000053683558,0.0020986914,0.8001991,0.09463133,0.06711324,0.0036152531,0.025135402],"study_design_scores_gemma":[0.00041584013,0.000019199259,0.0020941468,0.0010844687,0.00009330596,0.000011360986,0.00035833105,0.86639965,0.036858894,0.00011966096,0.09201026,0.0005349095],"about_ca_topic_score_codex":0.00014481966,"about_ca_topic_score_gemma":0.0003915257,"teacher_disagreement_score":0.73129225,"about_ca_system_score_codex":0.00016875089,"about_ca_system_score_gemma":0.000067648914,"threshold_uncertainty_score":0.99996716},"labels":[],"label_agreement":null},{"id":"W4415949988","doi":"10.1038/s44172-025-00520-4","title":"StarWhisper Telescope: an AI framework for automating end-to-end astronomical observations","year":2025,"lang":"en","type":"article","venue":"Communications Engineering","topic":"Gamma-ray bursts and supernovae","field":"Physics and Astronomy","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":"Simon Fraser University","funders":"Chinese Academy of Sciences; National Natural Science Foundation of China","keywords":"Telescope; Large Synoptic Survey Telescope; Modular design; Amateur; Transient (computer programming); Scalability","score_opus":0.027984246386433088,"score_gpt":0.29415714184967395,"score_spread":0.26617289546324086,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415949988","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":[0.31898943,0.000073943505,0.6781958,0.0017554897,0.000106670464,0.00029762732,0.00005869464,0.00011651283,0.0004058533],"genre_scores_gemma":[0.62979823,8.742644e-7,0.36956346,0.000082536535,0.00007632557,0.00021813595,0.00012661579,0.000019075776,0.00011473987],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99917585,0.000020925201,0.0002905057,0.00019030213,0.000060172548,0.00026222903],"domain_scores_gemma":[0.99825066,0.0002985293,0.000031634416,0.0012309463,0.00009517036,0.000093057424],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014694069,0.00015144664,0.00017849631,0.00012374125,0.00030893896,0.0001259469,0.00075490464,0.00004926273,0.00009824851],"category_scores_gemma":[0.00004548785,0.00017048507,0.00008328354,0.00028695067,0.000028708851,0.00020983553,0.00023095,0.00029447855,0.000012189869],"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":[0.000006640063,0.0002446258,0.09240406,0.0000348722,0.0001686038,6.149931e-8,0.0008483949,0.04547933,0.0033554644,0.80248666,0.00080911926,0.05416219],"study_design_scores_gemma":[0.0007154367,0.00007155241,0.27186662,0.000419924,0.00011965795,3.3449254e-7,0.0011844944,0.46812832,0.0013353343,0.0042433525,0.25114226,0.00077269913],"about_ca_topic_score_codex":0.000073798765,"about_ca_topic_score_gemma":0.000011289383,"teacher_disagreement_score":0.7982433,"about_ca_system_score_codex":0.00005856502,"about_ca_system_score_gemma":0.00009117627,"threshold_uncertainty_score":0.69521797},"labels":[],"label_agreement":null},{"id":"W4416431002","doi":"10.1038/s44172-025-00548-6","title":"Degrees of uncertainty: conformal deep learning for non-invasive core body temperature prediction in extreme environments","year":2025,"lang":"en","type":"article","venue":"Communications Engineering","topic":"Thermal Regulation in Medicine","field":"Medicine","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":"Laurentian University","funders":"","keywords":"Deep learning; Conformal map; Core (optical fiber); Wearable computer; Probabilistic logic; Calibration; Wearable technology","score_opus":0.03187387766867953,"score_gpt":0.2732846760346532,"score_spread":0.24141079836597365,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416431002","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":[0.9697116,0.0016983501,0.02496472,0.00064622815,0.00020706866,0.0013416011,0.000010820196,0.00014846274,0.0012711405],"genre_scores_gemma":[0.993898,0.00022732627,0.0048346994,0.00002803595,0.000026679192,0.00014825613,0.00016866592,0.000020664458,0.00064769154],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992861,0.00001473161,0.00034529777,0.00010587844,0.00010941294,0.00013855485],"domain_scores_gemma":[0.9989236,0.00031023027,0.000073480056,0.0005930986,0.000058658643,0.000040906285],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019036005,0.00010734905,0.00021937474,0.00025127715,0.000057594123,0.000004845543,0.00020803243,0.00010171256,0.00001329362],"category_scores_gemma":[0.00047107373,0.00010814131,0.00004989699,0.00024850486,0.00006925455,0.00007031946,0.0000874233,0.00030528137,0.0000014135906],"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":[0.00016211135,0.00022498233,0.06973476,0.0006223418,0.00020279834,0.0000018947293,0.0018204225,0.4861407,0.43082684,0.004252266,0.00017695174,0.0058339406],"study_design_scores_gemma":[0.0019474615,0.00011247321,0.30923343,0.00097604736,0.00008207761,0.0000058418714,0.0004895573,0.6785108,0.0028544199,0.000012798203,0.00568625,0.000088883215],"about_ca_topic_score_codex":0.000012742532,"about_ca_topic_score_gemma":0.000011972105,"teacher_disagreement_score":0.4279724,"about_ca_system_score_codex":0.00013596847,"about_ca_system_score_gemma":0.000051099498,"threshold_uncertainty_score":0.44098744},"labels":[],"label_agreement":null},{"id":"W4416594530","doi":"10.1038/s44172-025-00532-0","title":"Photonic fully-connected hybrid beamforming using microring weight banks","year":2025,"lang":"en","type":"article","venue":"Communications Engineering","topic":"Advanced Photonic Communication Systems","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":"Huawei Technologies (Canada); Queen's University; University of British Columbia","funders":"","keywords":"Beamforming; Photonics; Resonator; Bandwidth (computing); Wireless; True time delay; Flexibility (engineering); Power consumption; Path loss","score_opus":0.015030840552636227,"score_gpt":0.2518322408392054,"score_spread":0.23680140028656918,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416594530","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":[0.27855644,0.023252662,0.6707219,0.00019608767,0.0014844544,0.0010809514,0.000041567553,0.0038345514,0.020831428],"genre_scores_gemma":[0.920967,0.0008467976,0.07770276,0.000028287157,0.000032485263,0.00016344705,0.000048152277,0.00008724537,0.0001238414],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984405,0.00004736167,0.00066873623,0.00024262638,0.00013411808,0.00046665774],"domain_scores_gemma":[0.995731,0.0003904146,0.00007478999,0.0035955945,0.00011276771,0.00009546152],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00026188782,0.0003322198,0.00036683193,0.00048935105,0.0003323374,0.00008214878,0.0018358316,0.000104058854,0.000029206232],"category_scores_gemma":[0.00009891146,0.00041991603,0.00012443546,0.00093920477,0.00006611269,0.00034164716,0.0006216989,0.0006692588,0.000026815833],"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":[0.0000053226145,0.000057018562,0.0002241286,0.00033959205,0.000324686,0.000003117398,0.0004975565,0.5925732,0.38655216,0.009543827,0.0002153482,0.009664003],"study_design_scores_gemma":[0.0003400925,0.000003728769,0.00013777155,0.0004002501,0.000040894993,0.00003154423,0.00007625075,0.85481703,0.039036904,0.00009905621,0.10462063,0.00039586046],"about_ca_topic_score_codex":0.000028956276,"about_ca_topic_score_gemma":0.000014674855,"teacher_disagreement_score":0.6424106,"about_ca_system_score_codex":0.00060421275,"about_ca_system_score_gemma":0.00006836203,"threshold_uncertainty_score":0.99982524},"labels":[],"label_agreement":null}]}