{"meta":{"query_hash":"709ebe2ad5fb","filters":{"venue":"IEEE Journal of Oceanic Engineering"},"cohort_total":92,"direct_labels_cover":0,"predictions_cover":92,"exported":92,"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/709ebe2ad5fb","api":"https://metacan.xera.ac/api/v1/cohort?venue=IEEE+Journal+of+Oceanic+Engineering"},"results":[{"id":"W1965380876","doi":"10.1109/joe.2013.2239812","title":"Robust Spatial Reuse Scheduling in Underwater Acoustic Communication Networks","year":2013,"lang":"en","type":"article","venue":"IEEE Journal of Oceanic Engineering","topic":"Underwater Vehicles and Communication Systems","field":"Engineering","cited_by":49,"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":"Network topology; Computer science; Reuse; Robustness (evolution); Distributed computing; Computer network; Scheduling (production processes); Underwater acoustic communication; Underwater; Propagation delay; Network packet; Topology (electrical circuits); Engineering","score_opus":0.016961646306167297,"score_gpt":0.1946157447285335,"score_spread":0.17765409842236618,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1965380876","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":[0.511544,0.001175367,0.48671514,0.00008468979,0.0002370534,0.00009924638,2.9537352e-7,0.0000699168,0.00007431303],"genre_scores_gemma":[0.9856464,0.00040525757,0.013649404,0.0000185503,0.00020653948,0.00000598041,0.000001285164,0.000052423016,0.000014158062],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99870074,0.000043821095,0.000733336,0.00007657009,0.00017341542,0.00027214398],"domain_scores_gemma":[0.9990669,0.00010594996,0.00012381797,0.00049484655,0.000108680964,0.00009982651],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003920115,0.0001712551,0.00028078546,0.0002230058,0.00003480713,0.000099380726,0.00068927504,0.0001134895,0.000028922499],"category_scores_gemma":[0.000013724729,0.00016298897,0.00008110461,0.00019235122,0.000013190285,0.0003239373,0.000060501072,0.00060771994,0.000016179334],"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":[0.0000024848607,0.000014657495,0.0003272174,0.000038415907,0.00003903053,0.0000040717823,0.00024216557,0.9766212,0.02189554,0.0000056604795,0.00010362355,0.00070590735],"study_design_scores_gemma":[0.0004419992,0.000023701428,0.0024044437,0.00034446843,0.000014709632,0.00007669049,0.00013422422,0.99341005,0.002679867,0.000044110435,0.00024310264,0.0001826605],"about_ca_topic_score_codex":0.000040113187,"about_ca_topic_score_gemma":0.000016004733,"teacher_disagreement_score":0.4741024,"about_ca_system_score_codex":0.00017756183,"about_ca_system_score_gemma":0.000015210307,"threshold_uncertainty_score":0.6646497},"labels":[],"label_agreement":null},{"id":"W1966209426","doi":"10.1109/joe.2010.2040648","title":"Editorial: Special Issue on the 2006 Shallow Water Experiment","year":2010,"lang":"en","type":"editorial","venue":"IEEE Journal of Oceanic Engineering","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":14,"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 Victoria","funders":"","keywords":"Special section; Waves and shallow water; Section (typography); Geology; Engineering; Oceanography; Marine engineering; Environmental science; Computer science; Engineering physics","score_opus":0.004479899617843173,"score_gpt":0.19347088029256307,"score_spread":0.1889909806747199,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1966209426","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0024842592,0.0006384485,0.00004423648,0.00014473837,0.99531573,0.00009947056,0.0000567461,0.000028977292,0.0011873955],"genre_scores_gemma":[0.002571395,0.0005239042,0.0002136308,0.000034151723,0.9962418,4.450107e-7,0.000024442701,0.00002745994,0.0003627471],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99707884,0.00003596426,0.00064537546,0.00023951325,0.0015034113,0.0004969053],"domain_scores_gemma":[0.99827474,0.00066969293,0.00033148073,0.00026560636,0.00026221471,0.00019627408],"candidate_categories":["research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008857658,0.00042491424,0.0005277515,0.00007623592,0.0001364649,0.00019677638,0.000932933,0.00064735726,0.0024927584],"category_scores_gemma":[0.0003371826,0.00022796486,0.00028406447,0.00015255308,0.00005604483,0.00022832888,0.000015406004,0.0024955533,0.00013884515],"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":[0.000054772274,0.000020170606,0.000029033237,0.000043888216,0.00009521276,0.000035992238,0.00013565841,0.002822077,0.000100105506,0.0000017654106,0.99605054,0.0006108084],"study_design_scores_gemma":[0.00027113527,0.00030419903,0.000026278276,0.00018695791,0.000057971924,0.000012809741,0.000043365944,0.00023671694,0.0012433509,0.000028398976,0.9972826,0.0003061769],"about_ca_topic_score_codex":0.00002924291,"about_ca_topic_score_gemma":0.00002005076,"teacher_disagreement_score":0.0025853598,"about_ca_system_score_codex":0.000017676197,"about_ca_system_score_gemma":0.00019162027,"threshold_uncertainty_score":0.99980575},"labels":[],"label_agreement":null},{"id":"W1969142081","doi":"10.1109/joe.2013.2278891","title":"AUV Navigation and Localization: A Review","year":2014,"lang":"en","type":"review","venue":"IEEE Journal of Oceanic Engineering","topic":"Underwater Vehicles and Communication Systems","field":"Engineering","cited_by":1463,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Defence Research and Development Canada; University of New Brunswick","funders":"","keywords":"Underwater; Global Positioning System; Beacon; Inertial navigation system; Radio navigation; Simultaneous localization and mapping; Underwater acoustic communication; Computer science; Real-time computing; Bandwidth (computing); Engineering; Telecommunications; Artificial intelligence; Inertial frame of reference; Mobile robot; Robot; Geography","score_opus":0.023439531769196484,"score_gpt":0.2700634225654394,"score_spread":0.24662389079624292,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1969142081","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":[0.0000033434414,0.9331331,0.06624974,0.0000065207178,0.0003247639,0.00016475319,0.0000021314738,0.00006272696,0.00005289383],"genre_scores_gemma":[0.0003457351,0.9985081,0.00061813876,0.000016807082,0.00040401836,0.000005700374,0.000006128355,0.00007830459,0.000017066926],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99837226,0.00005653912,0.001129502,0.00009138922,0.00020087084,0.0001494522],"domain_scores_gemma":[0.9990934,0.00009009895,0.00035845037,0.00025751078,0.00009231883,0.00010823445],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005387967,0.0002807744,0.0012858454,0.0001564179,0.00002586368,0.000046863814,0.00030564365,0.00014951635,0.0000062824165],"category_scores_gemma":[0.000009471224,0.0002350674,0.00025012862,0.0002299101,0.0000094593715,0.000097238095,0.000021677153,0.00045659998,0.000010309372],"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":[5.209603e-7,0.000009472292,8.333093e-7,0.26278615,0.00041494714,0.000017108463,0.000060674574,0.00632964,0.000013873139,0.00005301466,0.0023642175,0.72794956],"study_design_scores_gemma":[0.00006918012,0.000017654847,2.2391345e-7,0.118629634,0.00031815632,0.0008183958,0.0000016909478,0.0053779497,0.000006108563,0.000003315695,0.874565,0.00019268728],"about_ca_topic_score_codex":2.6916936e-7,"about_ca_topic_score_gemma":4.3228326e-8,"teacher_disagreement_score":0.8722008,"about_ca_system_score_codex":0.000107839165,"about_ca_system_score_gemma":0.0000331213,"threshold_uncertainty_score":0.95857704},"labels":[],"label_agreement":null},{"id":"W1997834047","doi":"10.1109/joe.2013.2241934","title":"A Proposed ANN and FLSM Hybrid Model for Tidal Current Magnitude and Direction Forecasting","year":2013,"lang":"en","type":"article","venue":"IEEE Journal of Oceanic Engineering","topic":"Hydrological Forecasting Using AI","field":"Environmental Science","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Magnitude (astronomy); Artificial neural network; Current (fluid); Computer science; Tidal current; Least-squares function approximation; Fourier series; Geology; Mathematics; Artificial intelligence; Statistics; Oceanography; Physics","score_opus":0.022845074034356108,"score_gpt":0.2209421017696725,"score_spread":0.1980970277353164,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1997834047","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":[0.92560875,0.00014718562,0.07373521,0.000065959604,0.0002250467,0.00016066057,0.0000015221024,0.000023637156,0.000032050382],"genre_scores_gemma":[0.98020935,0.000026960428,0.019579917,0.000016004671,0.00012000829,0.0000028759841,2.675589e-7,0.000016915423,0.000027673992],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99920356,0.000009538468,0.00026876418,0.00013842697,0.00015544104,0.00022426121],"domain_scores_gemma":[0.9995962,0.000065573564,0.00012771819,0.000052708077,0.000024625095,0.0001331941],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000315611,0.0001233135,0.00016470946,0.000048102338,0.00007018917,0.000050696555,0.00007809914,0.00003156369,0.000013897443],"category_scores_gemma":[0.00017321671,0.00010037413,0.000043420867,0.00005743222,0.000037458423,0.000298777,0.000042219504,0.0001957543,0.000002482195],"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":[0.000024617486,0.0000554599,0.0016787742,0.00010509296,0.000023628018,0.000009061574,0.000278301,0.8920815,0.05145162,0.000007689049,0.00075469236,0.053529557],"study_design_scores_gemma":[0.00032657405,0.00014572674,0.0018895016,0.000081008766,0.000020915948,0.00028747853,0.0000026142413,0.9954073,0.0013000624,0.00025962963,0.00016391427,0.00011527039],"about_ca_topic_score_codex":0.0000042669326,"about_ca_topic_score_gemma":4.848004e-7,"teacher_disagreement_score":0.1033258,"about_ca_system_score_codex":0.00007302111,"about_ca_system_score_gemma":0.0000067333017,"threshold_uncertainty_score":0.40931383},"labels":[],"label_agreement":null},{"id":"W2001078139","doi":"10.1109/joe.2011.2175510","title":"Adaptive Multiview Target Classification in Synthetic Aperture Sonar Images Using a Partially Observable Markov Decision Process","year":2011,"lang":"en","type":"article","venue":"IEEE Journal of Oceanic Engineering","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Sonar; Partially observable Markov decision process; Synthetic aperture sonar; Computer science; Artificial intelligence; Underwater; Computer vision; Process (computing); Synthetic aperture radar; Pattern recognition (psychology); Machine learning; Markov chain; Markov model; Geology","score_opus":0.06629468194633485,"score_gpt":0.26505233946041784,"score_spread":0.19875765751408297,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2001078139","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":[0.4970269,0.0011354135,0.5010655,0.000028225812,0.00031141192,0.00018742534,0.000016623126,0.00001951936,0.00020898695],"genre_scores_gemma":[0.9005886,0.00018726611,0.09911406,0.000011909002,0.0000789597,3.636618e-7,0.0000013320489,0.000010271935,0.0000072655876],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985476,0.00005461665,0.00045248514,0.00016387139,0.00043505913,0.00034636338],"domain_scores_gemma":[0.99914706,0.00027946482,0.00015659236,0.00011355953,0.00015756454,0.00014576508],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007612276,0.00015083552,0.00025354748,0.00027154037,0.000046680063,0.00004572996,0.00031557982,0.000081158025,0.00021469512],"category_scores_gemma":[0.00018318904,0.00012137552,0.000065430264,0.00031839448,0.000026162936,0.00053495687,0.000008390812,0.0003979576,0.000012495536],"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":[0.0003087191,0.000106892236,0.043620873,0.0001931749,0.00006940389,0.0003863004,0.0011272887,0.9250465,0.015362242,0.0000024933192,0.000047223326,0.013728898],"study_design_scores_gemma":[0.0002782704,0.00012698666,0.05435248,0.00040808012,0.000017406635,0.00014890991,0.00013011736,0.9417077,0.0024922164,0.00013525423,0.00005611759,0.00014645966],"about_ca_topic_score_codex":0.00006204815,"about_ca_topic_score_gemma":0.000036852496,"teacher_disagreement_score":0.40356168,"about_ca_system_score_codex":0.00003871838,"about_ca_system_score_gemma":0.00014229417,"threshold_uncertainty_score":0.49495497},"labels":[],"label_agreement":null},{"id":"W2015188563","doi":"10.1109/joe.2012.2227538","title":"Sharpening Sidescan Sonar Images for Shallow-Water Target and Habitat Classification With a Vertically Stacked Array","year":2013,"lang":"en","type":"article","venue":"IEEE Journal of Oceanic Engineering","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","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":"Simon Fraser University","funders":"","keywords":"Beamforming; Multipath propagation; Beamwidth; Acoustics; Sonar; SIGNAL (programming language); Geology; Interference (communication); Computer science; Synthetic aperture sonar; Remote sensing; Adaptive beamformer; Telecommunications; Antenna (radio); Channel (broadcasting); Physics","score_opus":0.015985499320528458,"score_gpt":0.21398485021723293,"score_spread":0.19799935089670448,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2015188563","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":[0.64516973,0.00013483774,0.35382202,0.00047306478,0.000101711965,0.00019535734,0.000011620236,0.000016869704,0.000074791205],"genre_scores_gemma":[0.9251476,0.000023253247,0.074619025,0.000022384049,0.00013384776,0.0000012481116,0.000006452492,0.000011063964,0.000035143203],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989197,0.000017392369,0.00027882913,0.00013156804,0.00029618954,0.00035631648],"domain_scores_gemma":[0.9993446,0.0001776509,0.000058379726,0.00007844932,0.00013726139,0.00020368742],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003600364,0.0001250618,0.0001842391,0.0001360343,0.00006618476,0.0001808796,0.00016380961,0.000042848293,0.0001590655],"category_scores_gemma":[0.000043493863,0.00007992614,0.000040109357,0.00006425239,0.00003713501,0.000535826,0.000004900141,0.00021544789,0.000011716086],"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":[0.00019298059,0.00003261458,0.058880668,0.00028386177,0.0002144785,0.0000544482,0.0006743417,0.20531197,0.7298703,0.000009703666,0.0009382026,0.0035363915],"study_design_scores_gemma":[0.0011584837,0.00089426484,0.13699736,0.00017136929,0.000053544412,0.0002863147,0.00022490697,0.8120995,0.046839066,0.0003298515,0.0006130261,0.00033232215],"about_ca_topic_score_codex":0.000015833064,"about_ca_topic_score_gemma":0.000010501918,"teacher_disagreement_score":0.68303126,"about_ca_system_score_codex":0.000015594773,"about_ca_system_score_gemma":0.00004381373,"threshold_uncertainty_score":0.3259293},"labels":[],"label_agreement":null},{"id":"W2025233564","doi":"10.1109/joe.2013.2271390","title":"Efficient Control of an AUV-Manipulator System: An Application for the Exploration of Europa","year":2014,"lang":"en","type":"article","venue":"IEEE Journal of Oceanic Engineering","topic":"Underwater Vehicles and Communication Systems","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Feed forward; Compensation (psychology); Control theory (sociology); Kinematics; Engineering; Buoyancy; Drag; Position (finance); Orientation (vector space); Control engineering; Control system; Computer science; Control (management); Aerospace engineering; Artificial intelligence","score_opus":0.017394042812142692,"score_gpt":0.2189703558327824,"score_spread":0.20157631302063972,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2025233564","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":[0.3359863,0.0001634617,0.66348886,0.000010246337,0.00015195606,0.00015765477,0.00000263649,0.000029597966,0.000009299662],"genre_scores_gemma":[0.9979898,0.000008031343,0.0017221451,0.0000032190158,0.00023269828,0.000009873132,0.0000010659833,0.00003206215,0.0000011337967],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989768,0.00004195926,0.00063222914,0.000060393166,0.0001825565,0.00010606481],"domain_scores_gemma":[0.99901986,0.00012802056,0.00027450005,0.0003184386,0.00020192514,0.000057229114],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007977245,0.00010105033,0.00024790352,0.00009086239,0.000031510186,0.000016462642,0.00032287414,0.00004170094,4.5209268e-7],"category_scores_gemma":[0.000009279394,0.000077890894,0.00008207619,0.00009653808,0.000010073862,0.00012909212,0.0000059154513,0.00009919555,5.5173774e-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":[0.000012049548,0.00001910274,0.000013667288,0.00018488464,0.00003986012,8.940723e-8,0.00021819082,0.79899174,0.19872929,0.0005808103,0.0000017262796,0.0012085837],"study_design_scores_gemma":[0.00050181855,0.00014981939,0.00027602227,0.00009726188,0.00005054831,0.000017922968,0.00019534273,0.95444053,0.043792956,0.000009436119,0.00039704982,0.00007130037],"about_ca_topic_score_codex":0.0000027052438,"about_ca_topic_score_gemma":7.309838e-7,"teacher_disagreement_score":0.66200346,"about_ca_system_score_codex":0.00004655371,"about_ca_system_score_gemma":0.0000107165415,"threshold_uncertainty_score":0.31762984},"labels":[],"label_agreement":null},{"id":"W2026210379","doi":"10.1109/joe.2010.2079591","title":"Modeling Bottom Reverberation for Sonar Sensor Motion","year":2010,"lang":"en","type":"article","venue":"IEEE Journal of Oceanic Engineering","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","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":"Simon Fraser University","funders":"","keywords":"Reverberation; Sonar; Acoustics; Context (archaeology); SIGNAL (programming language); Sonar signal processing; Compensation (psychology); Motion compensation; Computer science; Marine mammals and sonar; Signal processing; Motion (physics); Underwater acoustics; Engineering; Electronic engineering; Algorithm; Artificial intelligence; Geology; Underwater; Physics","score_opus":0.020711009805991974,"score_gpt":0.23937122835988728,"score_spread":0.2186602185538953,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2026210379","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":[0.3961685,0.00002972751,0.60305303,0.000059816008,0.00059302227,0.000059298545,0.0000064376595,0.000009613313,0.000020543139],"genre_scores_gemma":[0.89628947,0.00001994501,0.102901794,0.000011105324,0.0007325179,1.472642e-7,0.000003918375,0.0000061925703,0.000034934343],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99917734,0.000010153091,0.000267827,0.00008009166,0.00025902863,0.00020554317],"domain_scores_gemma":[0.99950814,0.00009253489,0.000056536017,0.00007057221,0.00016508289,0.00010715937],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060094625,0.00007885302,0.00011937778,0.00013854154,0.000057376234,0.00006659712,0.00013187455,0.00006442152,0.00006734095],"category_scores_gemma":[0.000090262634,0.00006800205,0.00006535346,0.00007482011,0.0000068154204,0.0003009027,0.0000023285245,0.00039657642,0.000008226325],"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":[0.000012465158,0.0000045879283,0.00056474784,0.000028297685,0.000013980509,0.000007427048,0.00004680012,0.9304452,0.06662097,0.0000036745296,0.00006175448,0.002190095],"study_design_scores_gemma":[0.00022742026,0.000072141615,0.0007043387,0.000020056443,0.000012717309,0.00011167353,0.000014105885,0.99306256,0.005413907,0.00011715263,0.00016776528,0.00007615395],"about_ca_topic_score_codex":0.000013323416,"about_ca_topic_score_gemma":0.000020703017,"teacher_disagreement_score":0.5001513,"about_ca_system_score_codex":0.000008731319,"about_ca_system_score_gemma":0.000045308796,"threshold_uncertainty_score":0.27730432},"labels":[],"label_agreement":null},{"id":"W2029454354","doi":"10.1109/joe.2003.816685","title":"Guest editorial special issue on geoacoustic inversion in range-dependent shallow-water environments","year":2003,"lang":"en","type":"editorial","venue":"IEEE Journal of Oceanic Engineering","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Waves and shallow water; Inversion (geology); Geology; Acoustics; Range (aeronautics); Underwater acoustics; Underwater; Geophysics; Computer science; Oceanography; Seismology; Engineering; Physics; Aerospace engineering","score_opus":0.007636705659301969,"score_gpt":0.21177202854602276,"score_spread":0.2041353228867208,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2029454354","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0022228658,0.00010104462,0.00048499956,0.000020659572,0.9964289,0.00018062278,0.00009568751,0.00001078328,0.0004544187],"genre_scores_gemma":[0.009067261,0.00053443894,0.00014912599,0.000009626986,0.98943317,4.4490113e-7,0.00006797962,0.000040627772,0.000697352],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9948464,0.00012685916,0.0008642881,0.00037843775,0.0029878528,0.00079615007],"domain_scores_gemma":[0.99852604,0.00055424817,0.00023397963,0.00025673475,0.000097181386,0.00033178978],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00146334,0.00046395496,0.00067046174,0.0007645493,0.00007076949,0.00015090972,0.0007334514,0.00082386413,0.0011261804],"category_scores_gemma":[0.00039025693,0.00036799812,0.0001797782,0.00013737787,0.000040115632,0.0002905047,0.000029456982,0.002842703,0.0004879306],"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":[0.00017590293,0.000044919507,0.000121911835,0.000086179316,0.000060314287,0.0005244586,0.0000911496,0.29169253,0.00045699457,2.3388523e-8,0.7066478,0.0000977866],"study_design_scores_gemma":[0.001960614,0.0006489249,0.00011204194,0.00037305674,0.00008371983,0.000026903972,0.000024285995,0.008254648,0.0008665012,0.000010763335,0.9871456,0.0004929435],"about_ca_topic_score_codex":0.00006806373,"about_ca_topic_score_gemma":0.000063812884,"teacher_disagreement_score":0.28343788,"about_ca_system_score_codex":0.00028167883,"about_ca_system_score_gemma":0.00020242565,"threshold_uncertainty_score":0.9998772},"labels":[],"label_agreement":null},{"id":"W2056995207","doi":"10.1109/joe.2013.2279421","title":"A Machine Learning Approach for Dead-Reckoning Navigation at Sea Using a Single Accelerometer","year":2013,"lang":"en","type":"article","venue":"IEEE Journal of Oceanic Engineering","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","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 British Columbia","funders":"","keywords":"Acceleration; Accelerometer; Dead reckoning; Heading (navigation); Orientation (vector space); Global Positioning System; Computer science; Coordinate system; Inertial navigation system; Gyroscope; Computer vision; Pitch angle; Artificial intelligence; Geodesy; Acoustics; Engineering; Geology; Physics; Aerospace engineering; Mathematics","score_opus":0.021531843286885666,"score_gpt":0.21591025501467617,"score_spread":0.1943784117277905,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2056995207","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":[0.46466175,0.0005158196,0.53407395,0.0000053244703,0.00032639573,0.0001354081,0.0000021998856,0.00020587836,0.000073269395],"genre_scores_gemma":[0.9383068,0.000033289405,0.061320048,0.0000075141534,0.00020764861,0.0000073602255,0.000008214458,0.00008025596,0.000028862329],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988246,0.000011556279,0.0005032867,0.00011659629,0.00019955821,0.00034443542],"domain_scores_gemma":[0.9994166,0.000076686534,0.00015289312,0.000112973554,0.00016091658,0.00007992478],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022645982,0.00021682018,0.00030684512,0.0003075015,0.00008919339,0.00008314786,0.00020613504,0.00014337689,0.000020034753],"category_scores_gemma":[0.000101569945,0.00020762924,0.00015175533,0.00027263307,0.000014774682,0.00046041483,0.000027321987,0.00036907216,0.0000037369286],"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":[0.0000047696144,0.000011714284,0.00040592905,0.0001601405,0.00006932728,0.0000027986405,0.000121088306,0.79701966,0.20110351,0.0000176185,0.0000892682,0.0009941998],"study_design_scores_gemma":[0.00043204633,0.0000793411,0.00008292407,0.00012140814,0.00003744275,0.00017932817,0.000052392774,0.8718303,0.12656654,0.00002089934,0.0003897712,0.00020763327],"about_ca_topic_score_codex":0.000003544128,"about_ca_topic_score_gemma":1.5972684e-7,"teacher_disagreement_score":0.47364506,"about_ca_system_score_codex":0.00033655477,"about_ca_system_score_gemma":0.000011809003,"threshold_uncertainty_score":0.8466875},"labels":[],"label_agreement":null},{"id":"W2084913905","doi":"10.1109/joe.2005.862127","title":"Estimates of geoacoustic model parameters from inversions of horizontal and vertical line array data","year":2005,"lang":"en","type":"article","venue":"IEEE Journal of Oceanic Engineering","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","cited_by":15,"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 Victoria","funders":"","keywords":"Geology; Inversion (geology); Broadband; Replica; Horizontal line test; Seismic array; Waves and shallow water; Acoustics; Simulated annealing; Seismology; Computer science; Oceanography; Algorithm; Telecommunications; Physics; Geometry","score_opus":0.043805168886002,"score_gpt":0.2549634384104162,"score_spread":0.2111582695244142,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2084913905","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":[0.6806141,0.00031332613,0.3187971,0.00004160758,0.00008712072,0.000027780372,0.00010195379,0.0000042729134,0.000012715159],"genre_scores_gemma":[0.9026334,0.0001358196,0.097127356,0.0000062940817,0.00007844025,2.2353861e-8,0.000012474569,0.0000047601375,0.0000014256091],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989688,0.0000118563285,0.00038002897,0.0001110012,0.00034078446,0.00018756125],"domain_scores_gemma":[0.99912745,0.00038685338,0.000074469404,0.00018229138,0.00006499798,0.00016394418],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028953323,0.00009593519,0.0002454618,0.00014020757,0.000020232004,0.000017676659,0.00035612486,0.000049433565,0.00004230453],"category_scores_gemma":[0.00019257635,0.000078552424,0.000036998717,0.00008962449,0.000060112507,0.00030585495,0.000024961011,0.00024022133,0.0000019870936],"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":[0.00003843266,0.00001978459,0.0022855673,0.00003826836,0.00006827299,0.000009728912,0.000093207374,0.9267997,0.06966618,9.0939136e-7,0.000069837515,0.0009100824],"study_design_scores_gemma":[0.0002994316,0.00015425176,0.0021299366,0.00008756018,0.000072703806,0.00003495169,0.00003331143,0.9708416,0.026202679,0.000068084846,0.000004484078,0.00007104356],"about_ca_topic_score_codex":0.00007820314,"about_ca_topic_score_gemma":0.000024255673,"teacher_disagreement_score":0.22201928,"about_ca_system_score_codex":0.000008843004,"about_ca_system_score_gemma":0.000072248746,"threshold_uncertainty_score":0.3203275},"labels":[],"label_agreement":null},{"id":"W2088134310","doi":"10.1109/joe.2012.2218891","title":"Numerical Simulation of an Experimental Ocean Current Turbine","year":2012,"lang":"en","type":"article","venue":"IEEE Journal of Oceanic Engineering","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":46,"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":"National Research Council Canada","keywords":"Rotor (electric); Turbine; Marine engineering; Current (fluid); Computer simulation; Blade element momentum theory; Helicopter rotor; Flow (mathematics); Engineering; Control theory (sociology); Mechanics; Computer science; Aerospace engineering; Simulation; Physics; Mechanical engineering; Turbine blade; Electrical engineering","score_opus":0.0187358639746285,"score_gpt":0.2757479464422566,"score_spread":0.2570120824676281,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2088134310","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":[0.96701854,0.0029867229,0.028418701,0.000003142885,0.001399933,0.000038591963,0.0000012902634,0.000048231366,0.00008486473],"genre_scores_gemma":[0.9973444,0.000044695695,0.0018677182,0.0000023288728,0.0007029029,4.3745268e-7,0.0000016369962,0.00003241195,0.0000034739357],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99884903,0.000013143867,0.00042364988,0.000054258373,0.00034538298,0.00031454818],"domain_scores_gemma":[0.9994322,0.000044107484,0.00006591484,0.00010180106,0.00006311609,0.00029286364],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026272246,0.00013979847,0.0002258359,0.00018304687,0.000015922189,0.000012426742,0.00014502309,0.000043730113,0.000030348552],"category_scores_gemma":[0.000030372448,0.00012726823,0.00008280004,0.00015219153,0.0000084574895,0.0004820858,0.000011076688,0.00024415646,0.0000033629149],"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":[0.000015702313,0.000092870796,0.00028837234,0.000052644755,0.00004224921,0.000004943502,0.0002938337,0.97457534,0.023037637,0.000018680334,0.00016626794,0.0014114598],"study_design_scores_gemma":[0.0006771004,0.00019635772,0.004360563,0.00013459442,0.000015381673,0.0000913621,0.00006191815,0.72204113,0.26961267,0.0000052874957,0.002543814,0.0002598319],"about_ca_topic_score_codex":4.4205743e-7,"about_ca_topic_score_gemma":1.5965888e-8,"teacher_disagreement_score":0.2525342,"about_ca_system_score_codex":0.00012680859,"about_ca_system_score_gemma":0.000023482191,"threshold_uncertainty_score":0.5189848},"labels":[],"label_agreement":null},{"id":"W2089908424","doi":"10.1109/joe.2012.2212751","title":"Challenges, Benefits, and Opportunities in Installing and Operating Cabled Ocean Observatories: Perspectives From NEPTUNE Canada","year":2013,"lang":"en","type":"article","venue":"IEEE Journal of Oceanic Engineering","topic":"Methane Hydrates and Related Phenomena","field":"Environmental Science","cited_by":108,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Victoria","funders":"Division of Ocean Sciences; Dalhousie University; Institut Français de Recherche pour l'Exploitation de la Mer; University of Victoria","keywords":"Ocean observations; Environmental resource management; Oceanography; Engineering; Environmental science; Earth science; Geology","score_opus":0.02637053842409018,"score_gpt":0.18572701572323191,"score_spread":0.15935647729914174,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2089908424","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":[0.98390865,0.015201837,0.000020244488,0.00037945423,0.00015289357,0.00006448506,0.0000028399165,0.0000060340158,0.00026353807],"genre_scores_gemma":[0.98969394,0.009191087,0.00095569965,0.000040156072,0.000071645096,5.7370346e-7,4.768365e-7,0.000016243044,0.000030164494],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99915385,0.00002021674,0.00031338647,0.00013790099,0.00017946048,0.00019517774],"domain_scores_gemma":[0.9995668,0.00008413786,0.00010279462,0.00007168372,0.000018773371,0.0001558063],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020120607,0.00013863546,0.00022913745,0.0000314021,0.00004688201,0.00004393103,0.00009959685,0.00004894954,0.00009922751],"category_scores_gemma":[0.000032373413,0.000117742245,0.000015784888,0.000061158105,0.000025731764,0.00040823032,0.00004654239,0.00027156257,3.5952596e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035410863,0.00014295948,0.03791288,0.0002668614,0.0004381417,0.00044468467,0.051973663,0.8416106,0.040662132,0.0017795963,0.0007371583,0.023995899],"study_design_scores_gemma":[0.0070536165,0.0009197731,0.5197534,0.0024093399,0.00038837313,0.00085794576,0.13348052,0.3166862,0.006511661,0.0009688422,0.0076314574,0.0033388608],"about_ca_topic_score_codex":0.03226258,"about_ca_topic_score_gemma":0.005889955,"teacher_disagreement_score":0.5249244,"about_ca_system_score_codex":0.00016138314,"about_ca_system_score_gemma":0.00003893522,"threshold_uncertainty_score":0.97418165},"labels":[],"label_agreement":null},{"id":"W2092576738","doi":"10.1109/joe.2013.2291635","title":"Adaptive Error-Correction Coding Scheme for Underwater Acoustic Communication Networks","year":2014,"lang":"en","type":"article","venue":"IEEE Journal of Oceanic Engineering","topic":"Underwater Vehicles and Communication Systems","field":"Engineering","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":"University of British Columbia","funders":"","keywords":"Computer science; Hybrid automatic repeat request; Network packet; Computer network; Code rate; Energy consumption; Automatic repeat request; Real-time computing; Decoding methods; Telecommunications; Telecommunications link; Engineering","score_opus":0.01863404285840038,"score_gpt":0.22112915752600038,"score_spread":0.2024951146676,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2092576738","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":[0.035014924,0.0005098287,0.9631557,0.00003532269,0.00088202156,0.000118571494,8.375764e-7,0.000120336306,0.0001624719],"genre_scores_gemma":[0.98646116,0.00013161436,0.012869222,0.000019180903,0.0004064324,0.000007722532,0.0000022231657,0.000057292073,0.00004513125],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99897695,0.000038157275,0.0005342977,0.00007823902,0.00014175769,0.00023062083],"domain_scores_gemma":[0.9990724,0.00025060924,0.0001597392,0.00027196252,0.00016051061,0.000084812506],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006061109,0.0001655019,0.00026944256,0.00014369619,0.00008169272,0.000059487254,0.00033739622,0.00010231039,0.000004070434],"category_scores_gemma":[0.000015373505,0.00016022149,0.00012736929,0.00012750317,0.000012515947,0.00020036116,0.00002115323,0.000362163,0.000003106642],"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":[0.000013327929,0.000010566671,0.00003116453,0.000048594724,0.000091363334,3.7568273e-7,0.00017720084,0.97102183,0.026508987,0.0000794463,0.0005933291,0.0014238238],"study_design_scores_gemma":[0.00044678833,0.00008158078,0.00012397792,0.00027713165,0.000036780104,0.000066068125,0.00013090593,0.98883575,0.006803839,0.000047503585,0.0029761672,0.00017351468],"about_ca_topic_score_codex":0.0000018900595,"about_ca_topic_score_gemma":0.0000028187683,"teacher_disagreement_score":0.95144624,"about_ca_system_score_codex":0.00016036059,"about_ca_system_score_gemma":0.000010705156,"threshold_uncertainty_score":0.6533643},"labels":[],"label_agreement":null},{"id":"W2094512385","doi":"10.1109/joe.2014.2381691","title":"Time-Varying Across-Track Beamforming for the Suppression of Bottom-Bounce Multipath Effects in Sidescan Sonar","year":2015,"lang":"en","type":"article","venue":"IEEE Journal of Oceanic Engineering","topic":"Underwater Acoustics Research","field":"Earth and Planetary 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":"Multipath propagation; Beamforming; Sonar; Acoustics; Rake receiver; SIGNAL (programming language); Main lobe; Interference (communication); Geology; Computer science; Delay spread; Marine mammals and sonar; Track (disk drive); Channel (broadcasting); Telecommunications; Physics; Antenna (radio)","score_opus":0.025403474504570086,"score_gpt":0.27353777411678504,"score_spread":0.24813429961221495,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2094512385","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":[0.9034508,0.0011456718,0.09448111,0.000044890934,0.00058023323,0.00023820483,0.000020869567,0.000010978929,0.000027241082],"genre_scores_gemma":[0.9814869,0.00004585283,0.018216264,0.000008971367,0.00020283562,5.34173e-7,0.0000020799728,0.00000943561,0.000027111975],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986117,0.000030703144,0.0004033249,0.00010163573,0.0004673244,0.00038533617],"domain_scores_gemma":[0.998387,0.0010543184,0.00015423131,0.00011550323,0.00013945799,0.00014949277],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015615653,0.00012077538,0.00024309676,0.00011781278,0.000049923936,0.000049451995,0.00036234572,0.00006240086,0.000012357306],"category_scores_gemma":[0.00035399842,0.000081176426,0.000080653816,0.00017800146,0.00003841196,0.00034907975,0.000015558107,0.00037288654,0.000004261309],"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":[0.000087826236,0.000013821471,0.0058853384,0.000151906,0.000026573225,0.000034002496,0.0011073988,0.97015464,0.018764058,3.7251786e-7,0.000120667006,0.0036534092],"study_design_scores_gemma":[0.00090086367,0.0002443834,0.006405404,0.00030517843,0.000014506054,0.00009084236,0.0001391794,0.9776924,0.013851621,0.000042437914,0.0002116239,0.000101551304],"about_ca_topic_score_codex":0.00006802857,"about_ca_topic_score_gemma":0.00002295986,"teacher_disagreement_score":0.07803612,"about_ca_system_score_codex":0.000032338365,"about_ca_system_score_gemma":0.00011249466,"threshold_uncertainty_score":0.33102787},"labels":[],"label_agreement":null},{"id":"W2099810916","doi":"10.1109/joe.2011.2107950","title":"Spatial Reuse Time-Division Multiple Access for Broadcast Ad Hoc Underwater Acoustic Communication Networks","year":2011,"lang":"en","type":"article","venue":"IEEE Journal of Oceanic Engineering","topic":"Underwater Vehicles and Communication Systems","field":"Engineering","cited_by":79,"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":"Time division multiple access; Computer science; Computer network; Wireless ad hoc network; Underwater acoustic communication; Broadcast communication network; Reuse; Channel access method; Broadcast radiation; Distributed computing; Underwater; Engineering; Telecommunications; Wireless; Network packet; Geography","score_opus":0.032028179015312165,"score_gpt":0.22980723870700778,"score_spread":0.19777905969169562,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2099810916","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":[0.19525068,0.0019131196,0.80199724,0.00002442925,0.00039152373,0.00021122165,0.000005040722,0.00013957186,0.00006718611],"genre_scores_gemma":[0.9869069,0.0006140506,0.012148912,0.000015514104,0.00017853074,0.000009287432,0.0000058883293,0.00008425196,0.00003670042],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99866784,0.00003960554,0.0007082184,0.00010661705,0.0001832803,0.00029442523],"domain_scores_gemma":[0.9986627,0.00018561524,0.0002023517,0.00064122863,0.00017949525,0.0001285714],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045466123,0.00021882477,0.0003304387,0.00017630374,0.00008111135,0.00009729525,0.0011847795,0.00013253462,0.000026324069],"category_scores_gemma":[0.000022402797,0.0002032246,0.00015848281,0.00013335254,0.00001742146,0.00038555844,0.00011708336,0.00036683373,0.000009622644],"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":[0.00008719398,0.000083007915,0.0003766609,0.00018371282,0.00027356035,0.0000071510362,0.001398004,0.9196171,0.06679483,0.0000045384936,0.0011370493,0.010037161],"study_design_scores_gemma":[0.001047308,0.00013098803,0.0015918607,0.00036322392,0.00006537214,0.00006663674,0.000057516725,0.9760711,0.016546508,0.000048098147,0.0037112376,0.00030013523],"about_ca_topic_score_codex":0.000006984586,"about_ca_topic_score_gemma":0.000005651775,"teacher_disagreement_score":0.7916562,"about_ca_system_score_codex":0.0001236333,"about_ca_system_score_gemma":0.000016862296,"threshold_uncertainty_score":0.8287259},"labels":[],"label_agreement":null},{"id":"W2100015971","doi":"10.1109/joe.2009.2038252","title":"Measurement of Low-Frequency Sound Attenuation in Marine Sediment","year":2010,"lang":"en","type":"article","venue":"IEEE Journal of Oceanic Engineering","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","cited_by":21,"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 Victoria","funders":"","keywords":"Attenuation; Geology; Acoustics; Waves and shallow water; Sediment; Dispersion (optics); Acoustic attenuation; Frequency band; Chirp; Optics; Oceanography; Geomorphology; Physics; Telecommunications; Engineering; Bandwidth (computing)","score_opus":0.01903371959551507,"score_gpt":0.22833801323388683,"score_spread":0.20930429363837177,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2100015971","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":[0.9844349,0.00007019449,0.014444045,0.00005498561,0.0007080696,0.000063977066,0.0000024575381,0.0000045883944,0.00021678346],"genre_scores_gemma":[0.9946815,0.000020604537,0.0051085665,0.0000053977997,0.0001735127,9.9731245e-8,0.0000010201877,0.000004084728,0.000005240191],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99865013,0.000016627362,0.0004006504,0.00006989854,0.00066991785,0.00019275468],"domain_scores_gemma":[0.99946404,0.000048321355,0.00011631269,0.00009525139,0.0001849294,0.00009115528],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011877851,0.000079772144,0.00015234068,0.00024989885,0.000013779534,0.000020076617,0.0001932759,0.000043314,0.00024493132],"category_scores_gemma":[0.000110347304,0.00006725323,0.000043634485,0.00015738794,0.000015434158,0.00016691745,0.0000067771443,0.00038903166,0.000007329462],"study_design_candidate":"observational","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":[0.000027435908,0.000048568905,0.21839048,0.00014080976,0.000047994334,0.000060726536,0.00015804553,0.45606002,0.32226577,0.000009473405,0.00003271387,0.0027579537],"study_design_scores_gemma":[0.0013461303,0.0004060607,0.6549571,0.0002575943,0.00003020748,0.00018823448,0.00005207995,0.2799158,0.061630476,0.0009028845,0.00005125275,0.00026212278],"about_ca_topic_score_codex":0.000073208634,"about_ca_topic_score_gemma":0.00023918245,"teacher_disagreement_score":0.43656668,"about_ca_system_score_codex":0.000026596827,"about_ca_system_score_gemma":0.00008834171,"threshold_uncertainty_score":0.27425072},"labels":[],"label_agreement":null},{"id":"W2102215020","doi":"10.1109/joe.2010.2063970","title":"Bayesian Acoustic Source Track Prediction in an Uncertain Ocean Environment","year":2010,"lang":"en","type":"article","venue":"IEEE Journal of Oceanic Engineering","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","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 Victoria","funders":"","keywords":"Probability distribution; Bayesian probability; Markov chain Monte Carlo; Joint probability distribution; Probabilistic logic; Posterior probability; Source tracking; Computer science; Monte Carlo method; Range (aeronautics); Hidden Markov model; Probability density function; Statistics; Algorithm; Mathematics; Artificial intelligence; Engineering","score_opus":0.011726786122463346,"score_gpt":0.21677075612871377,"score_spread":0.20504397000625044,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2102215020","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":[0.7997384,0.000038936687,0.19952253,0.00003065033,0.00052042515,0.00006812901,0.000010092545,0.000017024717,0.000053831758],"genre_scores_gemma":[0.9955638,0.000028606664,0.0038644327,0.0000121618605,0.00046368493,8.722274e-8,0.0000048769216,0.00001076534,0.00005157172],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986422,0.0000340063,0.0003925931,0.00014042879,0.00044964562,0.00034113694],"domain_scores_gemma":[0.99936724,0.00010761113,0.00008796877,0.00014880521,0.000029842862,0.00025852266],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007257847,0.00013210186,0.00017308148,0.00028823313,0.000041747775,0.0000672735,0.0002904589,0.00009268704,0.0005035206],"category_scores_gemma":[0.00005063156,0.00011560096,0.000051026956,0.00013199728,0.000029264358,0.00039006505,0.0000057968377,0.00081424933,0.00001899454],"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":[0.000018256564,0.000026325151,0.035575252,0.000019265488,0.000011017178,0.000077854806,0.00019583889,0.9328255,0.02929095,2.5600696e-7,0.0000469669,0.0019125199],"study_design_scores_gemma":[0.00032648374,0.000245715,0.052374106,0.000028000994,0.000013454776,0.00022135572,0.00007377068,0.9451749,0.0011825865,0.000029294251,0.00021946515,0.00011091879],"about_ca_topic_score_codex":0.000031672305,"about_ca_topic_score_gemma":0.00009529698,"teacher_disagreement_score":0.19582543,"about_ca_system_score_codex":0.00002769951,"about_ca_system_score_gemma":0.000057216537,"threshold_uncertainty_score":0.5513197},"labels":[],"label_agreement":null},{"id":"W2106229606","doi":"10.1109/joe.2004.833139","title":"The Relation of Conducting Polymer Actuator Material Properties to Performance","year":2004,"lang":"en","type":"article","venue":"IEEE Journal of Oceanic Engineering","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":72,"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":"Actuator; Materials science; Polymer; Artificial muscle; Conductive polymer; Electroactive polymers; Nanotechnology; Mechanical engineering; Computer science; Composite material; Electrical engineering; Engineering","score_opus":0.021677806821176857,"score_gpt":0.20491278293054963,"score_spread":0.18323497610937278,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2106229606","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":[0.99250406,0.00018732075,0.0034771336,0.00002142679,0.0036776098,0.000039535254,0.0000013682693,0.000052608597,0.00003895887],"genre_scores_gemma":[0.9976174,0.000076937766,0.0017553177,0.0000040961836,0.00049444486,0.0000010312747,2.0395133e-7,0.000034644196,0.000015900618],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991392,0.0000069316516,0.00045784054,0.000050929055,0.00015222869,0.00019289134],"domain_scores_gemma":[0.99962205,0.000039653354,0.00010669257,0.00010046694,0.000068124,0.000063035426],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021952126,0.00011890981,0.00018696378,0.00007412991,0.000051021267,0.00003097386,0.00013921686,0.000040352803,0.000003577401],"category_scores_gemma":[0.000108201726,0.00008510114,0.000044375935,0.00009826681,0.000013580875,0.00027245164,0.000009955776,0.00011947173,0.0000024763137],"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":[0.000013445357,0.0000017716401,0.000002294052,0.000036015834,0.000016769945,0.0000017866672,0.00015720814,0.46170238,0.5378429,0.000035997236,0.0000055853875,0.00018384303],"study_design_scores_gemma":[0.00020172248,0.000067039706,0.00025910683,0.00028247692,0.000012912146,0.00008111582,0.000054473592,0.00207259,0.9966552,0.0000069942407,0.00020148327,0.00010485656],"about_ca_topic_score_codex":0.0000016784783,"about_ca_topic_score_gemma":2.2614049e-7,"teacher_disagreement_score":0.45962977,"about_ca_system_score_codex":0.00007546071,"about_ca_system_score_gemma":0.00001912177,"threshold_uncertainty_score":0.3470324},"labels":[],"label_agreement":null},{"id":"W2107812028","doi":"10.1109/joe.2008.924553","title":"Parameter Estimate Biases in Geoacoustic Inversion From Neglected Range Dependence","year":2008,"lang":"en","type":"article","venue":"IEEE Journal of Oceanic Engineering","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","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":"University of Victoria","funders":"Defence Research and Development Canada","keywords":"Inversion (geology); Range (aeronautics); Seabed; Bayesian probability; Marginal distribution; Underwater acoustics; Geology; Estimation theory; Statistics; Acoustics; Statistical physics; Mathematics; Random variable; Underwater; Physics; Seismology; Engineering","score_opus":0.036648390266891546,"score_gpt":0.24403552542486887,"score_spread":0.20738713515797733,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2107812028","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":[0.9658026,0.0004528998,0.03319172,0.000025139532,0.00040515544,0.000057192414,0.000016293681,0.000019096535,0.000029896795],"genre_scores_gemma":[0.99012524,0.00026591192,0.009416402,0.000022563494,0.00014403804,1.1175296e-7,0.000004860555,0.0000074631007,0.000013429762],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986224,0.00004111713,0.00036213303,0.0001319437,0.00047426383,0.0003681298],"domain_scores_gemma":[0.9987836,0.00075260433,0.000092173315,0.00011200863,0.000074752126,0.00018487974],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019444877,0.00013200102,0.00023236831,0.00035038852,0.000048044152,0.000035832683,0.00028950162,0.00006954075,0.00029425765],"category_scores_gemma":[0.00045042642,0.00011187582,0.00006049949,0.00030908795,0.00003154879,0.00034716135,0.000010222639,0.00044159003,0.00003917489],"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":[0.00004716352,0.000014311162,0.05705759,0.000015424228,0.000021824328,0.0010967875,0.00015480173,0.93307626,0.0077955117,6.4791706e-8,0.00015153468,0.00056871696],"study_design_scores_gemma":[0.00043065098,0.0000970675,0.1973286,0.00013484755,0.000013404327,0.0002817627,0.000013783164,0.7996731,0.001876644,0.000027538832,0.000012469749,0.00011014045],"about_ca_topic_score_codex":0.0004126411,"about_ca_topic_score_gemma":0.00010744095,"teacher_disagreement_score":0.14027101,"about_ca_system_score_codex":0.00003261428,"about_ca_system_score_gemma":0.00009840891,"threshold_uncertainty_score":0.45621637},"labels":[],"label_agreement":null},{"id":"W2114863559","doi":"10.1109/joe.2010.2079610","title":"Model-Based Sonar Motion Compensation for Bottom Reverberation Coherence","year":2010,"lang":"en","type":"article","venue":"IEEE Journal of Oceanic 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":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Sonar; Reverberation; Marine mammals and sonar; Beamforming; Coherence (philosophical gambling strategy); Acoustics; Ping (video games); Synthetic aperture sonar; Computer science; Sonar signal processing; Signal processing; Engineering; Artificial intelligence; Telecommunications; Physics","score_opus":0.026573886295161574,"score_gpt":0.2466288020615132,"score_spread":0.2200549157663516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2114863559","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":[0.27983293,0.000015619378,0.71955323,0.00007146423,0.0003890116,0.00008868753,0.000010622613,0.000010761,0.000027706807],"genre_scores_gemma":[0.857388,0.00000400317,0.1423073,0.000018742185,0.00024522797,2.9017772e-7,0.000010056085,0.000004751208,0.000021629647],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99919766,0.000012254433,0.00025484315,0.00008150403,0.0002825158,0.00017122841],"domain_scores_gemma":[0.9993843,0.00014113354,0.00010449723,0.000075496115,0.00019990471,0.00009469112],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057230855,0.00007887352,0.00011389269,0.00012893575,0.00005798027,0.000065027525,0.00014809273,0.00006227349,0.00006585012],"category_scores_gemma":[0.0000733544,0.000070196416,0.000053018022,0.00008281172,0.000013167679,0.00028183786,0.0000016391123,0.00032812136,0.0000061150718],"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":[0.000019968535,0.000007358927,0.0014788448,0.000030839023,0.000007425935,0.0000026358334,0.00002795939,0.9179447,0.07767902,0.000008207907,0.0001259474,0.0026670694],"study_design_scores_gemma":[0.00033058913,0.00009523709,0.0046031307,0.00002449775,0.0000118209255,0.000025364263,0.0000038524445,0.9804216,0.014113826,0.00021376544,0.00008090952,0.000075428936],"about_ca_topic_score_codex":0.000008662719,"about_ca_topic_score_gemma":0.00003460281,"teacher_disagreement_score":0.57755506,"about_ca_system_score_codex":0.000012490717,"about_ca_system_score_gemma":0.000098698445,"threshold_uncertainty_score":0.28625268},"labels":[],"label_agreement":null},{"id":"W2117148943","doi":"10.1109/joe.2003.819310","title":"Quantitative visualization of geophysical flows using low-cost oblique digital time-lapse imaging","year":2003,"lang":"en","type":"article","venue":"IEEE Journal of Oceanic Engineering","topic":"Coastal and Marine Dynamics","field":"Earth and Planetary Sciences","cited_by":27,"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":"Aliasing; Visualization; Oblique case; Remote sensing; Computer science; Sampling (signal processing); Geology; Scale (ratio); Flow (mathematics); Internal wave; Flow visualization; Geophysics; Meteorology; Computer vision; Geography; Artificial intelligence; Filter (signal processing); Physics; Cartography; Oceanography","score_opus":0.00781213006068854,"score_gpt":0.2186301857761763,"score_spread":0.21081805571548776,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2117148943","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":[0.9114224,0.0000894456,0.08757057,0.000006417769,0.00038550046,0.000052990894,0.000020185247,0.000010881966,0.00044164062],"genre_scores_gemma":[0.997414,0.000014815298,0.002443527,0.000007623834,0.000078842,3.5731695e-8,0.000007603448,0.0000072798834,0.00002628319],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991768,0.000019512363,0.00034859258,0.00008202263,0.00020263954,0.0001704117],"domain_scores_gemma":[0.99945414,0.00009309706,0.00018201416,0.000061262326,0.00012024075,0.000089256544],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018948328,0.000115067975,0.00021145486,0.0001432299,0.000027752216,0.000045746132,0.000100720405,0.000025592746,0.00005510253],"category_scores_gemma":[0.00013962701,0.00010183968,0.00009576267,0.0002274766,0.000017238735,0.0005804524,0.0000065107024,0.00013327088,0.000007337427],"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":[0.000091959926,0.000087299304,0.032763135,0.00012955895,0.000091446185,0.00010758105,0.00027887887,0.9379256,0.020033136,0.0010812053,0.000056543333,0.007353686],"study_design_scores_gemma":[0.00026376665,0.00008283028,0.007034911,0.000119348995,0.000022338043,0.00017428135,0.00004274336,0.9907284,0.0010872821,0.0001405176,0.00016323593,0.00014034209],"about_ca_topic_score_codex":0.000024207937,"about_ca_topic_score_gemma":0.000005059486,"teacher_disagreement_score":0.08599162,"about_ca_system_score_codex":0.00001211429,"about_ca_system_score_gemma":0.00006803339,"threshold_uncertainty_score":0.41529015},"labels":[],"label_agreement":null},{"id":"W2118455489","doi":"10.1109/joe.2003.823319","title":"Benchmarking Geoacoustic Inversion Methods Using Range-Dependent Field Data","year":2004,"lang":"en","type":"article","venue":"IEEE Journal of Oceanic Engineering","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","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 Victoria","funders":"Office of Naval Research","keywords":"Inversion (geology); Reverberation; Waves and shallow water; Benchmarking; Test data; Geology; Computer science; Acoustics; Remote sensing; Seismology; Oceanography","score_opus":0.06184715136073503,"score_gpt":0.31933695105300275,"score_spread":0.2574897996922677,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2118455489","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":[0.13945805,0.0004092363,0.8586584,0.00006167987,0.0012458103,0.000055500732,0.000010635688,0.0000151727345,0.00008552659],"genre_scores_gemma":[0.79524547,0.00014324256,0.20403375,0.000037994636,0.0005226285,2.1246224e-8,0.0000038808143,0.0000076061206,0.0000054271372],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985328,0.000052312746,0.00038170666,0.00017148607,0.0005150465,0.00034669452],"domain_scores_gemma":[0.99896765,0.00034567385,0.00013221479,0.00028027306,0.00008348365,0.00019071427],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014947131,0.00013524796,0.0002210742,0.00031127958,0.00008242235,0.00009172502,0.0006810201,0.000078588644,0.00021235377],"category_scores_gemma":[0.00023014449,0.00011600441,0.00005874826,0.00023047916,0.000015947558,0.000512794,0.00005111279,0.00050462264,0.000008817147],"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":[0.00001977597,0.000008985957,0.0011169958,0.000048457016,0.000047439786,0.00017908876,0.0000803485,0.9812415,0.010728797,6.9529113e-7,0.000058393965,0.0064694737],"study_design_scores_gemma":[0.00048732362,0.00015487034,0.0009917656,0.00016351927,0.00006335181,0.00045557215,0.000050752904,0.9919166,0.0053521655,0.00007723467,0.00013671014,0.00015016114],"about_ca_topic_score_codex":0.00021980394,"about_ca_topic_score_gemma":0.00002634527,"teacher_disagreement_score":0.6557874,"about_ca_system_score_codex":0.000048847727,"about_ca_system_score_gemma":0.00015319485,"threshold_uncertainty_score":0.47305226},"labels":[],"label_agreement":null},{"id":"W2119359662","doi":"10.1109/joe.2004.841399","title":"Another Perspective on Challenges in Open Ocean Aquaculture Development","year":2005,"lang":"en","type":"article","venue":"IEEE Journal of Oceanic Engineering","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Community Sector Council Newfoundland and Labrador; National Research Council Canada","funders":"","keywords":"Aquaculture; Shore; Submarine pipeline; Marine industry; Petroleum industry; Perspective (graphical); Business; Environmental planning; Environmental resource management; Engineering; Fishery; Environmental science; Marine engineering; Oceanography; Natural resource economics; Computer science; Fish <Actinopterygii>; Geology; Economics; Environmental engineering","score_opus":0.03497452753787413,"score_gpt":0.2712758784125794,"score_spread":0.23630135087470525,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2119359662","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":[0.6295609,0.0004998177,0.0004984652,0.004665877,0.0003032026,0.00038458078,0.0000011349283,0.000027497623,0.36405855],"genre_scores_gemma":[0.9950278,0.00034871843,0.0033872717,0.00010531686,0.00016595519,0.0000010569929,1.2733507e-7,0.000020362508,0.00094339676],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991081,0.000016798684,0.00023411697,0.00013072375,0.00029803198,0.00021223594],"domain_scores_gemma":[0.9997218,0.000026681493,0.00006357943,0.000099914825,0.000015725898,0.00007226288],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004071284,0.00010799928,0.00015834122,0.00007215463,0.000025527877,0.000036567548,0.00044394188,0.000045728368,0.00086812524],"category_scores_gemma":[0.000041024992,0.000086424516,0.00003496414,0.00012377817,0.000014503841,0.0003252804,0.000109880784,0.00032398468,0.000039081755],"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":[0.0009607482,0.0025598803,0.05638277,0.00016328602,0.0005475111,0.001161257,0.061471086,0.2604525,0.020312842,0.004669876,0.03422045,0.5570978],"study_design_scores_gemma":[0.0024325585,0.00058433425,0.09140529,0.00019712285,0.00001083972,0.00021978113,0.0028560078,0.005134007,0.011082129,0.000103254555,0.88530093,0.000673772],"about_ca_topic_score_codex":0.000014021316,"about_ca_topic_score_gemma":0.000038143873,"teacher_disagreement_score":0.8510805,"about_ca_system_score_codex":0.0006120671,"about_ca_system_score_gemma":0.00002214412,"threshold_uncertainty_score":0.95053625},"labels":[],"label_agreement":null},{"id":"W2119456667","doi":"10.1109/joe.2004.828548","title":"X-Band Sea-Clutter Nonstationarity: Influence of Long Waves","year":2004,"lang":"en","type":"article","venue":"IEEE Journal of Oceanic Engineering","topic":"Ocean Waves and Remote Sensing","field":"Earth and Planetary Sciences","cited_by":178,"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":"Clutter; Geology; Radar; Remote sensing; Swell; Amplitude; Radar horizon; Radar imaging; Acoustics; Continuous-wave radar; Physics; Computer science; Optics; Telecommunications","score_opus":0.005954592622817126,"score_gpt":0.18836712976247974,"score_spread":0.1824125371396626,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2119456667","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":[0.99647135,0.0003987958,0.0023990301,0.00009876869,0.00040906548,0.000032337586,0.000006310559,0.000008244481,0.00017610092],"genre_scores_gemma":[0.99524075,0.000089604655,0.004407935,0.000040398776,0.00020478891,6.79118e-10,0.0000013633485,0.0000048132647,0.000010375896],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9991025,0.000009873092,0.00037141252,0.000074922944,0.0002634529,0.0001778777],"domain_scores_gemma":[0.99946344,0.00007331282,0.00018424071,0.00007677088,0.00010141514,0.00010079853],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021401544,0.000101430756,0.00019235139,0.00014153006,0.000036506604,0.000024857998,0.0001246514,0.00004602535,0.000026193613],"category_scores_gemma":[0.000046398553,0.00008101968,0.00008533533,0.00015297887,0.00003287345,0.00031466567,0.0000025898553,0.00020561092,0.000006008822],"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":[0.0000123646805,0.00000972661,0.010162451,0.000047498328,0.000035949735,0.000123049,0.00021090159,0.985535,0.0021524194,0.000008468251,0.000015100994,0.0016870718],"study_design_scores_gemma":[0.0012150641,0.00041076093,0.920288,0.00088242395,0.000071223076,0.0018761589,0.00013157717,0.04253488,0.03166758,0.0004197165,0.0001489265,0.0003536807],"about_ca_topic_score_codex":0.000042404856,"about_ca_topic_score_gemma":0.000010860646,"teacher_disagreement_score":0.94300014,"about_ca_system_score_codex":0.000010269137,"about_ca_system_score_gemma":0.00006928808,"threshold_uncertainty_score":0.33038867},"labels":[],"label_agreement":null},{"id":"W2122376840","doi":"10.1109/48.946511","title":"Broad-band frequency and incident-angle dependence of bottom backscattering on Browns Bank","year":2001,"lang":"en","type":"article","venue":"IEEE Journal of Oceanic Engineering","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Geological Survey of Canada","funders":"U.S. Naval Research Laboratory","keywords":"Scattering; Optics; Materials science; Angle of incidence (optics); Range (aeronautics); Calibration; Bragg's law; Surface roughness; Backscatter (email); Physics; Diffraction; Engineering; Telecommunications","score_opus":0.017753346168608394,"score_gpt":0.2334642225779267,"score_spread":0.2157108764093183,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2122376840","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":[0.9760484,0.000597324,0.022427058,0.000052876265,0.00032198871,0.0000532263,0.000008146232,0.000010504874,0.00048047584],"genre_scores_gemma":[0.9957429,0.00044428886,0.003548399,0.00002196831,0.00019169132,8.231751e-8,0.0000010002775,0.0000080577765,0.000041588683],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99866426,0.00002609807,0.0003972812,0.00012722853,0.00048645984,0.00029869008],"domain_scores_gemma":[0.99926126,0.00019717764,0.00014152232,0.00012708237,0.000089221925,0.00018371562],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046781206,0.00013200419,0.00022965118,0.00026499326,0.00004379035,0.000057147103,0.00027731535,0.00006002607,0.00025543617],"category_scores_gemma":[0.000086954555,0.00011218993,0.00005780433,0.00018608675,0.000033959208,0.00031775486,0.000009293536,0.0003973039,0.00001205626],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010784369,0.000052780822,0.50390637,0.00021752421,0.00014150255,0.0008029469,0.00049042347,0.33614203,0.15061419,0.000011006772,0.00023347547,0.0072799446],"study_design_scores_gemma":[0.0015933806,0.0014823737,0.7656655,0.00083621073,0.00008421306,0.0034900354,0.00014488,0.16953453,0.055720985,0.0004954224,0.0003401655,0.0006122997],"about_ca_topic_score_codex":0.00012476725,"about_ca_topic_score_gemma":0.000047336332,"teacher_disagreement_score":0.26175916,"about_ca_system_score_codex":0.000019369638,"about_ca_system_score_gemma":0.00005541382,"threshold_uncertainty_score":0.45749727},"labels":[],"label_agreement":null},{"id":"W2126348412","doi":"10.1109/joe.2006.875099","title":"Data Uncertainty Estimation in Matched-Field Geoacoustic Inversion","year":2006,"lang":"en","type":"article","venue":"IEEE Journal of Oceanic Engineering","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","cited_by":59,"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 Victoria","funders":"","keywords":"Variance (accounting); Gaussian; Estimation theory; Inversion (geology); Variance-based sensitivity analysis; Propagation of uncertainty; Gibbs sampling; Computer science; Statistics; Algorithm; Mathematics; Mathematical optimization; Bayesian probability; One-way analysis of variance; Geology","score_opus":0.02264226635600374,"score_gpt":0.2474107193959181,"score_spread":0.22476845303991436,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2126348412","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":[0.6187545,0.00021043481,0.3799984,0.00016379039,0.0005266426,0.00006673119,0.000026551226,0.000016879656,0.0002360837],"genre_scores_gemma":[0.9907464,0.000035527577,0.00897485,0.000019246501,0.0001740718,3.836769e-8,0.000024303004,0.0000043690393,0.000021222979],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989269,0.000021172196,0.00034167455,0.00010981024,0.0003647274,0.00023572872],"domain_scores_gemma":[0.9993696,0.0002477926,0.000085929125,0.00017631693,0.000048107897,0.000072251736],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006245706,0.0000886415,0.0001493486,0.00025996726,0.000025830117,0.000053118834,0.00041588425,0.00005607283,0.00012570342],"category_scores_gemma":[0.00012916539,0.00007635256,0.000025727542,0.00021898215,0.000010319793,0.00041297355,0.000017624987,0.0003203535,0.00001867871],"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":[0.000014369592,0.00000978028,0.005869898,0.000035659938,0.0000071532295,0.000086170876,0.000019379693,0.99009186,0.0014242696,0.000001641946,0.0009417571,0.0014980687],"study_design_scores_gemma":[0.00025627174,0.00006736958,0.018883573,0.000076386816,0.000011302089,0.00007032559,0.000024119832,0.9797888,0.0004844047,0.00015412107,0.00010287099,0.00008048305],"about_ca_topic_score_codex":0.00045243805,"about_ca_topic_score_gemma":0.00022846647,"teacher_disagreement_score":0.37199187,"about_ca_system_score_codex":0.000027637328,"about_ca_system_score_gemma":0.00007034099,"threshold_uncertainty_score":0.3113567},"labels":[],"label_agreement":null},{"id":"W2132099833","doi":"10.1109/joe.2006.872205","title":"Topographical Distribution of Lipids Inside the Mandibular Fat Bodies of Odontocetes: Remarkable Complexity and Consistency","year":2006,"lang":"en","type":"article","venue":"IEEE Journal of Oceanic Engineering","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":60,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Whale; Anatomy; Chemistry; Biology; Fishery","score_opus":0.014612169117024008,"score_gpt":0.20966403280098886,"score_spread":0.19505186368396485,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2132099833","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":[0.9958287,0.0016774521,0.0013049683,0.00013379264,0.00009892379,0.00007991702,0.000007141485,0.0000059632407,0.0008631328],"genre_scores_gemma":[0.99869204,0.0004663375,0.0007428401,0.000012192494,0.000067313915,5.1160094e-7,6.645667e-7,0.0000060005223,0.000012130128],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99899495,0.000025208072,0.00048311602,0.00008248715,0.00026789948,0.00014633911],"domain_scores_gemma":[0.999453,0.00010952136,0.0002517924,0.00011298343,0.000034852088,0.000037829835],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038875142,0.000106219835,0.00029355715,0.000024455721,0.00005503121,0.000008635277,0.00014726653,0.000034055305,0.000039327646],"category_scores_gemma":[0.00008930747,0.000074645846,0.000102650054,0.00013204383,0.00021044281,0.000110727444,0.00010029306,0.00014665833,5.196382e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021443421,0.0004323333,0.8944382,0.001109119,0.00046865022,0.00006150423,0.00050404243,0.020504287,0.056757968,0.010634178,0.0123281395,0.0025471179],"study_design_scores_gemma":[0.00045857957,0.00028216653,0.98612493,0.00019381008,0.00009937388,0.000103188904,0.00007450532,0.0026617693,0.004625614,0.0008919311,0.0043352004,0.00014895522],"about_ca_topic_score_codex":0.00028161192,"about_ca_topic_score_gemma":0.0001030868,"teacher_disagreement_score":0.09168668,"about_ca_system_score_codex":0.00005433813,"about_ca_system_score_gemma":0.000004800141,"threshold_uncertainty_score":0.30439693},"labels":[],"label_agreement":null},{"id":"W2132595186","doi":"10.1109/joe.2006.886201","title":"Extraction of Ocean Wave Spectra From Simulated Noisy Bistatic High-Frequency Radar Data","year":2006,"lang":"en","type":"article","venue":"IEEE Journal of Oceanic Engineering","topic":"Ocean Waves and Remote Sensing","field":"Earth and Planetary Sciences","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":"Memorial University of Newfoundland","funders":"","keywords":"Bistatic radar; Radar; Physics; Integral equation; Continuous-wave radar; Acoustics; Wave radar; Mathematical analysis; Mathematics; Computer science; Radar imaging; Telecommunications","score_opus":0.014731260705555598,"score_gpt":0.20526833947006878,"score_spread":0.19053707876451317,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2132595186","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":[0.9925147,0.0009864324,0.0046649897,0.000050816412,0.0014304132,0.000054651657,0.00010886558,0.00002251064,0.00016662019],"genre_scores_gemma":[0.97623277,0.000102954065,0.022713436,0.000009228215,0.00082817185,1.8486458e-10,0.00008120777,0.000011892894,0.000020336034],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985157,0.000029508581,0.00068017736,0.00017003992,0.00035929502,0.0002452798],"domain_scores_gemma":[0.9989006,0.00023016198,0.00040622498,0.00028665492,0.00007716095,0.00009921537],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031029608,0.00016890875,0.0003391313,0.00017927184,0.000044729346,0.000042810934,0.0002743766,0.00007524509,0.00012710875],"category_scores_gemma":[0.000055693294,0.00014014391,0.00008479208,0.00022062202,0.000026666148,0.0004875114,0.000008031491,0.00031873933,0.0000058572555],"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":[0.00008695042,0.000077848505,0.004506765,0.00012132061,0.00026080533,0.00091503526,0.00018199533,0.9179672,0.069935694,0.00004204339,0.00092955766,0.004974775],"study_design_scores_gemma":[0.0010185876,0.00021319056,0.16031078,0.00037555743,0.00018947969,0.0005109149,0.00011242491,0.8274068,0.008336892,0.00083624467,0.00030856227,0.00038053253],"about_ca_topic_score_codex":0.0010428376,"about_ca_topic_score_gemma":0.000034011,"teacher_disagreement_score":0.15580401,"about_ca_system_score_codex":0.000016660098,"about_ca_system_score_gemma":0.000056826382,"threshold_uncertainty_score":0.5714903},"labels":[],"label_agreement":null},{"id":"W2132661240","doi":"10.1109/joe.2002.1002485","title":"CRB approximations for a horizontal array observing a narrow-band target with partial coherence","year":2002,"lang":"en","type":"article","venue":"IEEE Journal of Oceanic Engineering","topic":"Underwater Acoustics Research","field":"Earth and Planetary 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":"Saint Mary's University","funders":"","keywords":"Coherence (philosophical gambling strategy); Horizontal line test; Range (aeronautics); Physics; Coherence time; Optics; Simple (philosophy); Acoustics; Computational physics; Mathematics; Engineering; Geometry; Aerospace engineering; Quantum mechanics","score_opus":0.029231808744950412,"score_gpt":0.21724533196259835,"score_spread":0.18801352321764794,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2132661240","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":[0.3498311,0.00049572304,0.64844835,0.00013120401,0.00042876354,0.00021495376,0.000039746843,0.000028483235,0.00038166635],"genre_scores_gemma":[0.9472948,0.000012441902,0.05223308,0.00001112702,0.00036510985,0.0000010956752,0.0000029124328,0.000009089487,0.000070368915],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988547,0.000017057519,0.00029444174,0.000117128424,0.00036975267,0.0003469435],"domain_scores_gemma":[0.99930966,0.00017354572,0.0001117289,0.000099693774,0.00012532072,0.0001800642],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031909966,0.00012725963,0.00019532803,0.0001287518,0.00009614664,0.000102726386,0.0002567283,0.000045292432,0.00034976448],"category_scores_gemma":[0.00007434606,0.00009730272,0.000067042005,0.00018075595,0.00002535914,0.00035496158,0.000002544133,0.00026385812,0.000009856745],"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":[0.00007568956,0.000040945433,0.007935285,0.00015049285,0.00010112512,0.00006885714,0.0007189179,0.9648813,0.024603132,0.0000053194344,0.00073007937,0.0006888659],"study_design_scores_gemma":[0.00083175086,0.0007744566,0.0016241324,0.00011298878,0.000033800137,0.00037988144,0.00010095127,0.97626024,0.018329566,0.00006149982,0.0012707383,0.00022001518],"about_ca_topic_score_codex":0.000011343207,"about_ca_topic_score_gemma":0.000016391034,"teacher_disagreement_score":0.59746367,"about_ca_system_score_codex":0.000017888611,"about_ca_system_score_gemma":0.000046831996,"threshold_uncertainty_score":0.39678895},"labels":[],"label_agreement":null},{"id":"W2133577079","doi":"10.1109/joe.2011.2161706","title":"High-Frequency Radar Cross Section of the Ocean Surface for an FMCW Waveform","year":2011,"lang":"en","type":"article","venue":"IEEE Journal of Oceanic Engineering","topic":"Ocean Waves and Remote Sensing","field":"Earth and Planetary Sciences","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":"Memorial University of Newfoundland","funders":"","keywords":"Waveform; Radar; Bistatic radar; Physics; Fourier transform; Doppler effect; Surface wave; Continuous-wave radar; Spectral density estimation; Optics; Acoustics; Geology; Remote sensing; Radar imaging; Telecommunications; Computer science","score_opus":0.019179541795460765,"score_gpt":0.2056090563215384,"score_spread":0.18642951452607762,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2133577079","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":[0.9949164,0.00020359634,0.0011584114,0.00001643602,0.0033989109,0.000087949375,0.000016367938,0.000012700576,0.00018923862],"genre_scores_gemma":[0.98709327,0.00003773479,0.012276492,0.0000131431725,0.00052914134,5.4486643e-10,0.000001538365,0.000009509687,0.000039149145],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99903363,0.000018717114,0.00041899667,0.00009454313,0.00021133895,0.0002227686],"domain_scores_gemma":[0.9992927,0.000050175757,0.00028715658,0.0001504568,0.00012071706,0.00009881879],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004661213,0.00012269126,0.0002061082,0.000049547292,0.000088297085,0.000025552827,0.00024652833,0.00007217549,0.00002902081],"category_scores_gemma":[0.000036663663,0.00007817051,0.00015621437,0.00014171697,0.000035562985,0.00037458146,0.0000045646984,0.00021675677,8.028431e-7],"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":[0.00037662368,0.00013371035,0.061526686,0.0005053367,0.0004054343,0.000053156324,0.004028852,0.873372,0.049431026,0.00032869494,0.0005146259,0.009323835],"study_design_scores_gemma":[0.002293451,0.00207754,0.5893215,0.0005497642,0.00020411372,0.001404934,0.00058259966,0.25936973,0.1414252,0.0015372986,0.00048312117,0.0007507558],"about_ca_topic_score_codex":0.00013867233,"about_ca_topic_score_gemma":0.000019381183,"teacher_disagreement_score":0.6140023,"about_ca_system_score_codex":0.000012797363,"about_ca_system_score_gemma":0.0000475113,"threshold_uncertainty_score":0.31877008},"labels":[],"label_agreement":null},{"id":"W2141329110","doi":"10.1109/joe.2008.924837","title":"Bathymetric Sidescan Sonar Bottom Estimation Accuracy: Tilt Angles and Waveforms","year":2008,"lang":"en","type":"article","venue":"IEEE Journal of Oceanic Engineering","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","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":"Simon Fraser University","funders":"","keywords":"Cramér–Rao bound; Sonar; Bathymetry; Chirp; Acoustics; Gaussian; Algorithm; Azimuth; Estimation theory; Cross-correlation; Mean squared error; Pulse (music); Geology; Mathematics; Optics; Physics; Geometry; Statistics","score_opus":0.02153675333506405,"score_gpt":0.2245576797334017,"score_spread":0.20302092639833766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2141329110","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":[0.9228301,0.000997457,0.075683184,0.00005938729,0.00024217287,0.000055361077,0.0000076419155,0.000020045589,0.00010466384],"genre_scores_gemma":[0.97617406,0.00062949426,0.022937862,0.000013652785,0.00019576645,7.2051165e-8,0.0000026826742,0.000006823812,0.00003956837],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989019,0.000015189145,0.00030528774,0.000094459305,0.0004204953,0.0002626406],"domain_scores_gemma":[0.99927664,0.00026685695,0.00010721213,0.00007870243,0.000080448845,0.00019016337],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003619563,0.00011291751,0.00017869359,0.00039086893,0.00008592869,0.000055519908,0.0001727376,0.000053261767,0.000082002945],"category_scores_gemma":[0.00017652274,0.00008624921,0.000047625665,0.0003114701,0.000031726635,0.0005079205,0.00000799137,0.00032482742,0.000014653699],"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":[0.00003874504,0.000024510815,0.048033126,0.00010908108,0.00008673262,0.000530237,0.00056981447,0.89266914,0.0038510351,0.0000047177455,0.0007052997,0.05337755],"study_design_scores_gemma":[0.00029296087,0.00018638917,0.13605471,0.000049047456,0.000014316768,0.0017983557,0.000030114656,0.859171,0.0019812516,0.000076627075,0.00021750203,0.00012776692],"about_ca_topic_score_codex":0.000040301198,"about_ca_topic_score_gemma":0.0000068244003,"teacher_disagreement_score":0.08802159,"about_ca_system_score_codex":0.000019599787,"about_ca_system_score_gemma":0.000080193386,"threshold_uncertainty_score":0.35171407},"labels":[],"label_agreement":null},{"id":"W2142233595","doi":"10.1109/48.917943","title":"The influence of bubble clouds on acoustic propagation in the surf zone","year":2001,"lang":"en","type":"article","venue":"IEEE Journal of Oceanic Engineering","topic":"Coastal and Marine Dynamics","field":"Earth and Planetary Sciences","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":"North Pacific Marine Science Organization","funders":"Division of Ocean Sciences","keywords":"Bubble; Turbulence; Entrainment (biomusicology); Mechanics; Buoyancy; Air entrainment; Physics; Acoustics; Wave propagation; Meteorology; Optics","score_opus":0.006291444532896708,"score_gpt":0.18858389524067387,"score_spread":0.18229245070777716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2142233595","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":[0.9975578,0.0001046164,0.0017299633,0.0001196183,0.00023307838,0.000050603307,0.0000017994988,0.000003564118,0.00019892692],"genre_scores_gemma":[0.9995511,0.00022796633,0.000068598354,0.000022372264,0.00009004646,8.7743345e-8,6.489596e-7,0.0000018934727,0.00003729744],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99934214,0.00002168042,0.0002475273,0.000041024974,0.00022130665,0.00012631972],"domain_scores_gemma":[0.9994762,0.0002607429,0.00011051426,0.00008060936,0.000045097604,0.00002684459],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005962791,0.00006109076,0.00008938957,0.000049956478,0.00003617025,0.000021367608,0.00021666622,0.000019674899,0.0000071965874],"category_scores_gemma":[0.00009419374,0.00003242298,0.000035143516,0.00020463433,0.000016713768,0.000110869325,0.0000042577617,0.00020429987,0.0000024197357],"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":[0.000033488406,0.000008876618,0.008575486,0.000010778503,0.0000058496344,0.000025385754,0.00013194943,0.98452073,0.00044562548,0.000032994973,0.000015862292,0.0061929924],"study_design_scores_gemma":[0.0002835454,0.0003588731,0.5272102,0.0001175949,0.000014700145,0.00028816794,0.00020368327,0.4704494,0.00009433336,0.00012875648,0.00076268765,0.00008811007],"about_ca_topic_score_codex":0.0000925468,"about_ca_topic_score_gemma":0.0003464723,"teacher_disagreement_score":0.5186347,"about_ca_system_score_codex":0.0000059887598,"about_ca_system_score_gemma":0.00002933345,"threshold_uncertainty_score":0.13221708},"labels":[],"label_agreement":null},{"id":"W2146512640","doi":"10.1109/joe.2004.831616","title":"A Recurrent Neural Network for Detecting Objects in Sequences of Sector-Scan Sonar Images","year":2004,"lang":"en","type":"article","venue":"IEEE Journal of Oceanic Engineering","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","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":"Toronto Metropolitan University","funders":"","keywords":"Artificial intelligence; Computer vision; Computer science; Feature (linguistics); False alarm; Sonar; Detector; Kalman filter; Object detection; Motion compensation; Process (computing); Constant false alarm rate; Feature extraction; Pattern recognition (psychology)","score_opus":0.024267639930784124,"score_gpt":0.24705305237767844,"score_spread":0.22278541244689432,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2146512640","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":[0.96162266,0.0012309004,0.036347542,0.00003579819,0.0006038315,0.000111169065,0.000012724853,0.000009927451,0.000025462632],"genre_scores_gemma":[0.97800857,0.00008090719,0.021503273,0.000005850908,0.00039073,2.8289372e-7,0.0000010575703,0.000006802362,0.0000025517907],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988059,0.000023050312,0.0004111071,0.000100833444,0.0002878939,0.00037121665],"domain_scores_gemma":[0.999347,0.0002480196,0.00015355267,0.00006256057,0.000086866465,0.0001020224],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006592771,0.000110161745,0.00023296331,0.00018771495,0.000036420315,0.000033901215,0.00022440028,0.000042381645,0.000021713979],"category_scores_gemma":[0.00008262642,0.000093500385,0.000084845604,0.00024356648,0.00002191581,0.0002102623,0.000006126242,0.00030842266,8.675584e-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":[0.000031004736,0.0000075081994,0.007210778,0.00008711632,0.000016266331,0.00004295044,0.00019589481,0.97939986,0.009754776,8.0342517e-7,0.000013268027,0.0032397918],"study_design_scores_gemma":[0.00196394,0.0016081961,0.05458258,0.0010419469,0.000042916734,0.00059761334,0.00033333973,0.8725109,0.06612686,0.0007258914,0.000054043652,0.00041179272],"about_ca_topic_score_codex":0.00009741361,"about_ca_topic_score_gemma":0.00020475897,"teacher_disagreement_score":0.10688896,"about_ca_system_score_codex":0.000038173468,"about_ca_system_score_gemma":0.0001245766,"threshold_uncertainty_score":0.38128352},"labels":[],"label_agreement":null},{"id":"W2146686804","doi":"10.1109/joe.2003.819312","title":"Pulse-Length-Tolerant Features and Detectors for Sector-Scan Sonar Imagery","year":2004,"lang":"en","type":"article","venue":"IEEE Journal of Oceanic Engineering","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","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":"","keywords":"Sonar; Detector; Artificial intelligence; Computer vision; Synthetic aperture sonar; Histogram; Moment (physics); Feature (linguistics); Computer science; Pattern recognition (psychology); Engineering; Acoustics; Physics; Image (mathematics); Telecommunications","score_opus":0.013809110373372343,"score_gpt":0.219723203154396,"score_spread":0.20591409278102366,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2146686804","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":[0.9029466,0.0015602653,0.094484836,0.00012454066,0.00062378164,0.00013175281,0.00003039157,0.00002416261,0.00007366337],"genre_scores_gemma":[0.98463994,0.00014500812,0.014682406,0.000022637241,0.00047110044,2.514896e-7,0.000001885959,0.000011618194,0.000025138279],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989402,0.000012372167,0.00026755026,0.00012215175,0.00030535774,0.00035231872],"domain_scores_gemma":[0.9993583,0.00018834783,0.0000774238,0.0000780691,0.000086684355,0.0002111757],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039509198,0.00013914397,0.0002136293,0.00020852819,0.00007363596,0.00009776392,0.00018598812,0.00006229072,0.00006178767],"category_scores_gemma":[0.000058192018,0.00011209344,0.000085241954,0.00011457364,0.000027904174,0.00024904963,0.0000061836695,0.00032355098,0.000003429722],"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":[0.00010493726,0.000019329993,0.004104111,0.00019123529,0.00013274336,0.0001988878,0.00039589623,0.95287234,0.031912785,0.000007392082,0.00030175073,0.009758612],"study_design_scores_gemma":[0.0071313237,0.00277447,0.37258607,0.00086900196,0.00025519135,0.007759888,0.00045464517,0.47860307,0.12341511,0.0018417431,0.002738637,0.0015708469],"about_ca_topic_score_codex":0.000053458574,"about_ca_topic_score_gemma":0.000048530634,"teacher_disagreement_score":0.47426924,"about_ca_system_score_codex":0.000027515109,"about_ca_system_score_gemma":0.00009245974,"threshold_uncertainty_score":0.45710376},"labels":[],"label_agreement":null},{"id":"W2148832737","doi":"10.1109/joe.2010.2066710","title":"Resolving Velocity Ambiguity in Multifrequency, Pulse-to-Pulse Coherent Doppler Sonar","year":2010,"lang":"en","type":"article","venue":"IEEE Journal of Oceanic Engineering","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University; Memorial University of Newfoundland","funders":"","keywords":"Sonar; Acoustics; Doppler effect; Ambiguity function; Pulse repetition frequency; Computer science; Broadband; Pulse (music); Optics; Physics; Remote sensing; Geology; Telecommunications; Radar","score_opus":0.018688556511377394,"score_gpt":0.24871905203332773,"score_spread":0.23003049552195032,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2148832737","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":[0.9862663,0.00015092005,0.011827999,0.00015576415,0.0011197369,0.00013952325,0.000018598532,0.00002174124,0.00029937353],"genre_scores_gemma":[0.97906524,0.00005498954,0.020399347,0.000034722147,0.00039590918,3.718588e-7,0.0000022529218,0.000011563024,0.000035595163],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9981323,0.00003913666,0.0005229957,0.00018190744,0.00059524016,0.0005284486],"domain_scores_gemma":[0.9990007,0.00019702839,0.00010077493,0.00018603832,0.00014291785,0.00037248794],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011865721,0.000172641,0.0002758813,0.000386926,0.000051440158,0.00007534034,0.0005000858,0.00010799967,0.0007998557],"category_scores_gemma":[0.00025317477,0.0001504276,0.00006918754,0.00034124783,0.000029098435,0.00030709628,0.000021001286,0.0011922271,0.000056332257],"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":[0.00008979787,0.00007867446,0.09657105,0.00013555212,0.00006014404,0.00074828794,0.000848924,0.7239431,0.1561152,0.000005617497,0.0008749874,0.020528631],"study_design_scores_gemma":[0.0007478099,0.00022090402,0.5060588,0.00014344214,0.0000139076865,0.0004262216,0.00004537778,0.48484012,0.0059383544,0.000110253575,0.001125182,0.00032961462],"about_ca_topic_score_codex":0.00047807465,"about_ca_topic_score_gemma":0.0015681814,"teacher_disagreement_score":0.40948775,"about_ca_system_score_codex":0.00004391947,"about_ca_system_score_gemma":0.00013714586,"threshold_uncertainty_score":0.8757859},"labels":[],"label_agreement":null},{"id":"W2149168970","doi":"10.1109/joe.2005.850869","title":"Analysis of Swath Bathymetry Sonar Accuracy","year":2005,"lang":"en","type":"article","venue":"IEEE Journal of Oceanic Engineering","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","cited_by":33,"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":"Sonar; Bathymetry; Angle of arrival; Acoustics; Gaussian; Computer science; Underwater acoustics; Interferometry; Algorithm; Cramér–Rao bound; Remote sensing; Estimation theory; Geology; Optics; Telecommunications; Physics; Underwater; Antenna (radio)","score_opus":0.016970954423123043,"score_gpt":0.24820922659726175,"score_spread":0.2312382721741387,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2149168970","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":[0.9011187,0.00086895074,0.09733488,0.00007214046,0.00020515609,0.000035057226,0.000023256698,0.0000114754985,0.00033039678],"genre_scores_gemma":[0.98829645,0.00020154136,0.01116001,0.000015892663,0.00027601377,2.6781873e-8,0.0000029209298,0.000004675828,0.000042445616],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986685,0.000021558122,0.00045531298,0.0000872028,0.000517224,0.00025023601],"domain_scores_gemma":[0.999109,0.00031790053,0.00017383616,0.00012331567,0.00012298554,0.00015291483],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005994554,0.00009965522,0.00030797138,0.00074046256,0.000025209069,0.00003240442,0.0003287148,0.00004904189,0.00066637585],"category_scores_gemma":[0.00009440703,0.00008099841,0.000188058,0.000762153,0.000018102644,0.00031214513,0.000007449083,0.00028391782,0.000016147842],"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":[0.000012647069,0.000014586802,0.022213643,0.00001878561,0.0004584626,0.000026797501,0.00011448335,0.96474224,0.003553415,0.0000015620102,0.00011483499,0.008728525],"study_design_scores_gemma":[0.00019730866,0.000096139775,0.077321805,0.00002671135,0.0002685795,0.00005382269,0.000034059507,0.91614145,0.0046983315,0.000005614148,0.0010556553,0.00010055219],"about_ca_topic_score_codex":0.000023325414,"about_ca_topic_score_gemma":0.000023387032,"teacher_disagreement_score":0.08717778,"about_ca_system_score_codex":0.000017353756,"about_ca_system_score_gemma":0.0000621863,"threshold_uncertainty_score":0.7296348},"labels":[],"label_agreement":null},{"id":"W2158025979","doi":"10.1109/joe.2007.900901","title":"Geoacoustic Information Content of Horizontal Line Array Data","year":2007,"lang":"en","type":"article","venue":"IEEE Journal of Oceanic Engineering","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","cited_by":5,"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 Victoria","funders":"","keywords":"Acoustics; Horizontal line test; Inversion (geology); Underwater acoustics; Sonar; Sensor array; Sonar signal processing; Line (geometry); Posterior probability; Bayesian probability; Geology; Computer science; Signal processing; Mathematics; Statistics; Telecommunications; Physics; Seismology; Geometry; Underwater","score_opus":0.052360781236111216,"score_gpt":0.25428704304116145,"score_spread":0.20192626180505024,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2158025979","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":[0.288776,0.00016358534,0.71006125,0.000021748681,0.0006593269,0.000051640905,0.000053131902,0.000008439203,0.0002048442],"genre_scores_gemma":[0.9900419,0.000059447088,0.00956322,0.000011190363,0.00028720938,1.3775087e-8,0.000024481402,0.0000032800504,0.0000092674745],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986187,0.000009407978,0.00057009736,0.000058909092,0.0004981257,0.0002447483],"domain_scores_gemma":[0.9991174,0.00017905956,0.00019555617,0.00018074882,0.00018456233,0.0001426749],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013395303,0.00008697001,0.00017690645,0.00026442,0.000023176066,0.00003365847,0.00045488277,0.000045907567,0.000080540725],"category_scores_gemma":[0.00019544411,0.000069618894,0.000040854884,0.0001595822,0.000020873173,0.00081070716,0.000012854377,0.00028000286,0.000013065234],"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":[0.0001981459,0.00004126858,0.008705051,0.00025631097,0.00017932976,0.00010337772,0.00039655488,0.8478889,0.121571675,0.0000080738055,0.0004433692,0.02020797],"study_design_scores_gemma":[0.0010065737,0.0007844028,0.06844143,0.00018619368,0.0000711487,0.00056123687,0.0003602767,0.89039457,0.03693512,0.000021928237,0.0010020278,0.00023507424],"about_ca_topic_score_codex":0.00004992681,"about_ca_topic_score_gemma":0.000021726524,"teacher_disagreement_score":0.7012659,"about_ca_system_score_codex":0.000015449237,"about_ca_system_score_gemma":0.00007066277,"threshold_uncertainty_score":0.28389764},"labels":[],"label_agreement":null},{"id":"W2161765225","doi":"10.1109/joe.2011.2165369","title":"Impact of Measurement Model Mismatch on Nonlinear Track-Before-Detect Performance for Maritime RADAR Surveillance","year":2011,"lang":"en","type":"article","venue":"IEEE Journal of Oceanic Engineering","topic":"Radar Systems and Signal Processing","field":"Engineering","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":"Defence Research and Development Canada","funders":"","keywords":"Clutter; Radar; Computer science; Constant false alarm rate; Secondary surveillance radar; Track-before-detect; Radar tracker; Stationary target indication; Artificial intelligence; Algorithm; Continuous-wave radar; Radar imaging; Telecommunications","score_opus":0.027851913934891004,"score_gpt":0.223116171181843,"score_spread":0.19526425724695198,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2161765225","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":[0.8475023,0.00070694345,0.15083952,0.000002396203,0.00049182243,0.00014603174,0.000016413598,0.000060290826,0.00023427187],"genre_scores_gemma":[0.9859489,0.00004785522,0.013599905,0.0000023251132,0.0003150324,0.0000020266002,4.5366545e-7,0.00007613189,0.000007348899],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983958,0.000009724371,0.0007366779,0.00011116606,0.0004218454,0.00032480876],"domain_scores_gemma":[0.99919015,0.000034271747,0.00020882284,0.00016815883,0.0002747224,0.00012385163],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000816957,0.00025421148,0.0004982932,0.0001905935,0.00003368478,0.00001829646,0.00024703357,0.00009313956,0.000005711921],"category_scores_gemma":[0.000043764572,0.0002134644,0.00030682428,0.00013231124,0.0000113132955,0.00024732476,0.0000057557827,0.00028166498,0.0000011924556],"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":[0.00014618403,0.000052800635,0.0003315156,0.0009138228,0.0003215411,0.000009979262,0.0004802907,0.92946494,0.062922254,0.0000074915474,0.00022871343,0.0051204753],"study_design_scores_gemma":[0.00063272717,0.0006798383,0.0028174117,0.0006081732,0.000028070996,0.00009146422,0.000010008838,0.9488287,0.046008293,0.000022328682,0.000037784317,0.00023519802],"about_ca_topic_score_codex":0.0000028372067,"about_ca_topic_score_gemma":8.9091384e-7,"teacher_disagreement_score":0.13844661,"about_ca_system_score_codex":0.00023385326,"about_ca_system_score_gemma":0.00008349442,"threshold_uncertainty_score":0.87048256},"labels":[],"label_agreement":null},{"id":"W2163008243","doi":"10.1109/joe.2006.886228","title":"On the Development of a Second-Order Bistatic Radar Cross Section of the Ocean Surface: A High-Frequency Result for a Finite Scattering Patch","year":2006,"lang":"en","type":"article","venue":"IEEE Journal of Oceanic Engineering","topic":"Ocean Waves and Remote Sensing","field":"Earth and Planetary Sciences","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Bistatic radar; Radar cross-section; Physics; Scattering; Cross section (physics); Radar; Acoustics; Surface (topology); Optics; Backscatter (email); Geology; Remote sensing; Radar imaging; Computer science; Geometry; Mathematics; Telecommunications","score_opus":0.00963086803275984,"score_gpt":0.2005223250650177,"score_spread":0.19089145703225785,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2163008243","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":[0.9955159,0.00017461613,0.0029971616,0.000091193986,0.0009774403,0.00013398168,0.000031814467,0.0000065547665,0.00007138022],"genre_scores_gemma":[0.98951554,0.0000065330682,0.010242209,0.00001911145,0.00014806981,5.0104436e-9,0.000002650839,0.000009497013,0.000056395947],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9987068,0.000030981708,0.00067006686,0.00009809576,0.00028522062,0.00020879868],"domain_scores_gemma":[0.9988257,0.00041309232,0.00043775552,0.00013684966,0.00014971425,0.000036871137],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006473605,0.00013506635,0.00022104176,0.000065691456,0.00012635543,0.000033497116,0.000206149,0.000050262417,0.000026227794],"category_scores_gemma":[0.00009452829,0.00007775507,0.00011738928,0.00024928697,0.000041066447,0.000101529855,0.000006669998,0.00021469382,5.808969e-7],"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":[0.0000891852,0.000030356217,0.005133773,0.00030336276,0.00010677356,0.000006127243,0.0008223399,0.9683577,0.024153307,0.000047666377,0.00019990082,0.00074953324],"study_design_scores_gemma":[0.0031867574,0.00071131357,0.42110056,0.0024581847,0.00014275016,0.0002646153,0.000594174,0.39827868,0.17034706,0.0013613168,0.0007874766,0.0007671341],"about_ca_topic_score_codex":0.000074342366,"about_ca_topic_score_gemma":0.00007707399,"teacher_disagreement_score":0.570079,"about_ca_system_score_codex":0.000018820758,"about_ca_system_score_gemma":0.0001046185,"threshold_uncertainty_score":0.31707597},"labels":[],"label_agreement":null},{"id":"W2165430875","doi":"10.1109/joe.2005.862130","title":"Geoacoustic Parameter Extraction Using Reverberation Data From the 2000 Boundary Characterization Experiment on the Malta Plateau","year":2005,"lang":"en","type":"article","venue":"IEEE Journal of Oceanic Engineering","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Reverberation; Geology; Sonar; Scattering; Acoustics; Ridge; Bathymetry; Marine mammals and sonar; Computer science; Optics; Physics","score_opus":0.06534298702318453,"score_gpt":0.2825191748290369,"score_spread":0.21717618780585235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2165430875","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":[0.76756465,0.0002210639,0.23065376,0.00059036905,0.0007273285,0.00012482361,0.00007794846,0.000009651478,0.000030409048],"genre_scores_gemma":[0.99477625,0.0001158994,0.0035596124,0.00015319181,0.0012898729,2.092593e-7,0.00006378086,0.000008927599,0.000032268686],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987192,0.00007579985,0.00034957041,0.00014211053,0.0005005996,0.00021273016],"domain_scores_gemma":[0.9989343,0.00045894342,0.00016493176,0.00032097704,0.000055056593,0.00006574343],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00076246855,0.00012074197,0.00012240063,0.00007101846,0.00017858554,0.00027480823,0.0004619948,0.000050448885,0.0005558503],"category_scores_gemma":[0.00009614812,0.00007099637,0.000036069112,0.000114038194,0.000022831246,0.000756839,0.000016103555,0.00041600017,0.000036426183],"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":[0.00004687466,0.000019685058,0.0005502705,0.0000056913814,0.000059503574,0.000014877423,0.00026056432,0.7965555,0.1990258,7.197743e-7,0.00044503345,0.003015447],"study_design_scores_gemma":[0.00013641894,0.00005432032,0.015671741,0.00007187355,0.00003315787,0.00007858527,0.000034308927,0.97462904,0.007110577,0.000010311434,0.002080278,0.000089378824],"about_ca_topic_score_codex":0.00006562335,"about_ca_topic_score_gemma":0.000017118926,"teacher_disagreement_score":0.22721158,"about_ca_system_score_codex":0.00006536095,"about_ca_system_score_gemma":0.000107422675,"threshold_uncertainty_score":0.6086171},"labels":[],"label_agreement":null},{"id":"W2166607166","doi":"10.1109/joe.2010.2100490","title":"Bayesian Inversion of Interface-Wave Dispersion for Seabed Shear-Wave Speed Profiles","year":2011,"lang":"en","type":"article","venue":"IEEE Journal of Oceanic Engineering","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","cited_by":21,"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 Victoria","funders":"","keywords":"Covariance; Power law; Covariance matrix; Gaussian; Mathematics; Bayesian probability; Probability distribution; Geology; Algorithm; Statistics; Physics","score_opus":0.04893566774290115,"score_gpt":0.23668813119056484,"score_spread":0.1877524634476637,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2166607166","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":[0.70597005,0.00019026439,0.29249254,0.000038704136,0.0007073221,0.00020899852,0.000030121382,0.000014937453,0.0003470876],"genre_scores_gemma":[0.97754395,0.00006110274,0.02215989,0.000006601568,0.00015203719,8.499881e-8,0.0000033915069,0.00000975459,0.00006316421],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988329,0.000025039351,0.0003917635,0.000114588176,0.00034759182,0.0002881469],"domain_scores_gemma":[0.9992647,0.00012831,0.0001559208,0.00011260865,0.0001617073,0.00017673541],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048669765,0.00012791027,0.0002458779,0.0002591213,0.000037535323,0.000020960377,0.00019363742,0.00007198915,0.00038031445],"category_scores_gemma":[0.000082676226,0.00010169182,0.0001228077,0.00014388496,0.000034563294,0.0002667876,0.00001377461,0.00024353905,0.000007030296],"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":[0.0019101122,0.00025195972,0.03325513,0.0017553559,0.0006871555,0.0003416612,0.0069812587,0.47762942,0.45701566,0.000022909795,0.0039153052,0.016234055],"study_design_scores_gemma":[0.0005350888,0.0006399023,0.0061744275,0.00018803653,0.00003453558,0.00009070617,0.00019599518,0.84286076,0.14899306,0.00009063049,0.00006902539,0.00012785243],"about_ca_topic_score_codex":0.00003680687,"about_ca_topic_score_gemma":0.000004660629,"teacher_disagreement_score":0.3652313,"about_ca_system_score_codex":0.000022347731,"about_ca_system_score_gemma":0.000063603526,"threshold_uncertainty_score":0.41641766},"labels":[],"label_agreement":null},{"id":"W2170274682","doi":"10.1109/48.972081","title":"Mooring developments for autonomous ocean-sampling networks","year":2001,"lang":"en","type":"article","venue":"IEEE Journal of Oceanic Engineering","topic":"Underwater Vehicles and Communication Systems","field":"Engineering","cited_by":23,"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":"Office of Naval Research; U.S. Navy; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Curtin University of Technology; Woods Hole Oceanographic Institution","keywords":"Mooring; DOCK; Marine engineering; Underwater; Sampling (signal processing); Buoy; Engineering; Environmental science; Oceanography; Telecommunications; Geology","score_opus":0.0268492852182713,"score_gpt":0.23406434858796277,"score_spread":0.20721506336969148,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2170274682","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":[0.27588487,0.0011588527,0.7218211,0.00001776471,0.0007761894,0.00009612731,8.740639e-7,0.00012970247,0.000114524744],"genre_scores_gemma":[0.97787774,0.0003385726,0.021071468,0.00001535339,0.0005784078,0.0000029573398,0.0000011169202,0.00006775863,0.000046643672],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987453,0.000008389189,0.0006684935,0.00008718125,0.00015412751,0.00033646423],"domain_scores_gemma":[0.99935937,0.00010528121,0.00012469247,0.00017424076,0.000113863134,0.000122532],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000399353,0.00018530762,0.00029184946,0.00016968731,0.00006263731,0.00006905217,0.00036696857,0.000084833235,0.0000040931013],"category_scores_gemma":[0.000008410437,0.00018643844,0.00013222576,0.00017257119,0.0000057808406,0.00017999842,0.00002072436,0.00027603412,0.0000026288199],"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":[0.000008481046,0.00001076236,0.00038588743,0.000057369405,0.00013535144,0.000008107525,0.00017684425,0.9869504,0.0079280315,0.000032947715,0.00012342498,0.0041823774],"study_design_scores_gemma":[0.0010771471,0.00007133161,0.0012653801,0.00043998956,0.00004874492,0.00056622305,0.00011664914,0.92334604,0.009473183,0.000043018787,0.06307766,0.00047460763],"about_ca_topic_score_codex":6.611799e-7,"about_ca_topic_score_gemma":3.142059e-7,"teacher_disagreement_score":0.70199287,"about_ca_system_score_codex":0.00018444128,"about_ca_system_score_gemma":0.000024346338,"threshold_uncertainty_score":0.7602739},"labels":[],"label_agreement":null},{"id":"W2342733455","doi":"10.1109/joe.2015.2505778","title":"A First-Order HF Radar Cross-Section Model for Mixed-Path Ionosphere–Ocean Propagation With an FMCW Source","year":2016,"lang":"en","type":"article","venue":"IEEE Journal of Oceanic Engineering","topic":"Radar Systems and Signal Processing","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Defence Research and Development Canada","keywords":"Radar cross-section; Ionosphere; Ionospheric heater; Radar; Bistatic radar; Physics; Scattering; Remote sensing; Geology; Geophysics; Optics; Radar imaging; Computer science; Telecommunications","score_opus":0.009584769764797907,"score_gpt":0.2116319691738185,"score_spread":0.20204719940902058,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2342733455","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":[0.36205074,0.00020479866,0.6369266,0.000016690756,0.00055140856,0.00012131883,0.000003560268,0.00010834151,0.000016586313],"genre_scores_gemma":[0.9781096,0.000027015238,0.020635562,0.000006212941,0.00093925535,0.000003931856,8.6540206e-7,0.000117423006,0.0001601251],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986062,0.00001031123,0.0005752288,0.00017156093,0.00030449513,0.0003322096],"domain_scores_gemma":[0.9991182,0.000064729655,0.00020393253,0.00016258754,0.00028878884,0.00016172914],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043123765,0.00025751776,0.000318343,0.00012635376,0.00011043437,0.00011763074,0.00018903459,0.00012243811,0.0000048613333],"category_scores_gemma":[0.000051482468,0.00017918648,0.000100917656,0.00017123781,0.000017918717,0.0010385517,0.0000065045565,0.00020975278,0.0000012626584],"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":[0.000071119866,0.000019829984,0.00017822077,0.00030335155,0.00007308197,0.000006538088,0.00023349423,0.9725447,0.024967076,0.000029714029,0.00026294772,0.0013099166],"study_design_scores_gemma":[0.0012359399,0.00029619067,0.00022812896,0.0006932679,0.000037530095,0.00025483017,0.000038140934,0.98829484,0.007755529,0.000042827072,0.00081781525,0.00030494345],"about_ca_topic_score_codex":0.0000019202628,"about_ca_topic_score_gemma":0.0000041501307,"teacher_disagreement_score":0.616291,"about_ca_system_score_codex":0.00021241745,"about_ca_system_score_gemma":0.00006935754,"threshold_uncertainty_score":0.73070127},"labels":[],"label_agreement":null},{"id":"W2344794235","doi":"10.1109/joe.2016.2516421","title":"Bayesian Geoacoustic Inversion With the Image Source Method","year":2016,"lang":"en","type":"article","venue":"IEEE Journal of Oceanic Engineering","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","cited_by":21,"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 Victoria","funders":"","keywords":"Reverberation; Seabed; Geology; Inversion (geology); Bayesian probability; Underwater; Synthetic data; Sampling (signal processing); Acoustics; Inverse problem; Computer science; Algorithm; Artificial intelligence; Seismology; Computer vision; Mathematics; Oceanography; Physics","score_opus":0.009050428513323121,"score_gpt":0.21884549929208716,"score_spread":0.20979507077876403,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2344794235","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":[0.046557933,0.000073831114,0.95228344,0.0006753712,0.0001751559,0.000049357983,0.000004334174,0.000015170303,0.00016540012],"genre_scores_gemma":[0.9716634,0.000039844406,0.027769422,0.000038080587,0.00026619196,7.380454e-8,2.8090537e-7,0.0000087707585,0.00021391234],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99890697,0.000053525262,0.00019055314,0.00009582508,0.0004594076,0.0002937385],"domain_scores_gemma":[0.9989991,0.0005155702,0.00009510855,0.00013413432,0.000101596685,0.00015444652],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00076471776,0.000110735215,0.00014386202,0.0001395073,0.0000709422,0.00005947025,0.000344391,0.00003621246,0.00026934958],"category_scores_gemma":[0.000069678106,0.000048344868,0.000055064287,0.0001678397,0.00004011102,0.00026554454,0.000009187904,0.000256086,0.000029393272],"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":[0.00010364966,0.000011858115,0.0025305264,0.00005342228,0.00012431765,0.00021873864,0.00028569353,0.9009626,0.071575336,0.000002976926,0.0022800076,0.021850912],"study_design_scores_gemma":[0.0008113117,0.00042924384,0.0053816307,0.00019192003,0.00007402636,0.0008550583,0.00017422516,0.9790664,0.010302487,0.000054793883,0.0024401331,0.00021882389],"about_ca_topic_score_codex":0.00001877632,"about_ca_topic_score_gemma":0.000011014048,"teacher_disagreement_score":0.9251055,"about_ca_system_score_codex":0.00001901093,"about_ca_system_score_gemma":0.000065414,"threshold_uncertainty_score":0.2949189},"labels":[],"label_agreement":null},{"id":"W2344848012","doi":"10.1109/joe.2015.2431740","title":"Improving Statistical Robustness of Matched-Field Source Localization via General-Rank Covariance Matrix Matching","year":2015,"lang":"en","type":"article","venue":"IEEE Journal of Oceanic Engineering","topic":"Speech and Audio Processing","field":"Computer Science","cited_by":8,"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 Victoria","funders":"","keywords":"Covariance matrix; Robustness (evolution); Estimator; Algorithm; Covariance; Noise power; Computer science; Minimum-variance unbiased estimator; Estimation of covariance matrices; Mathematics; Statistics; Power (physics)","score_opus":0.010623856100549375,"score_gpt":0.24054818335122408,"score_spread":0.2299243272506747,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2344848012","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":[0.06041961,0.00038916004,0.93799,0.00009774074,0.0010038847,0.00004140845,6.840368e-7,0.000048570702,0.000008898995],"genre_scores_gemma":[0.58664155,0.000009556955,0.4129423,0.00003778256,0.0003356098,3.3218032e-7,2.7691806e-7,0.000016998632,0.000015585096],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99846756,0.000028831726,0.00061428174,0.00015794348,0.00045991072,0.00027149328],"domain_scores_gemma":[0.99877715,0.00012619239,0.0004302427,0.00019580788,0.00028088433,0.0001897035],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00071537716,0.0001566553,0.00032268252,0.00016757863,0.000036228572,0.00011912475,0.0005479542,0.00007850904,0.0000035564549],"category_scores_gemma":[0.00020225772,0.00014810421,0.00006506321,0.000319291,0.000012645689,0.00075059535,0.00006570373,0.0002850902,0.0000017095612],"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":[0.000015362868,0.000023273524,0.000059615933,0.00013796739,0.000025246312,0.00004136738,0.0003934403,0.9416793,0.047869124,0.00028762186,0.00020387031,0.009263826],"study_design_scores_gemma":[0.00048275114,0.00010673959,0.0000320671,0.00019359465,0.000020144675,0.0004197703,0.000040785602,0.87651706,0.12164093,0.0002904265,0.00008980764,0.0001659246],"about_ca_topic_score_codex":0.0000093699255,"about_ca_topic_score_gemma":2.8870394e-7,"teacher_disagreement_score":0.526222,"about_ca_system_score_codex":0.00008512472,"about_ca_system_score_gemma":0.00016737705,"threshold_uncertainty_score":0.60395145},"labels":[],"label_agreement":null},{"id":"W2345534369","doi":"10.1109/joe.2016.2540744","title":"A Bayesian Method for Localization by Multistatic Active Sonar","year":2016,"lang":"en","type":"article","venue":"IEEE Journal of Oceanic Engineering","topic":"Underwater Vehicles and Communication Systems","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Sonar; Transmitter; Marine mammals and sonar; Multilateration; Algorithm; Computer science; Bearing (navigation); Covariance matrix; Bayesian probability; Range (aeronautics); Monte Carlo method; Position (finance); Measurement uncertainty; Posterior probability; Underwater acoustics; Prior probability; Direction of arrival; Mathematics; Acoustics; Statistics; Artificial intelligence; Underwater; Engineering; Telecommunications; Physics","score_opus":0.009898503483813829,"score_gpt":0.23890376190425808,"score_spread":0.22900525842044425,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2345534369","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":[0.0038882517,0.00046514103,0.99518144,0.0000731667,0.00018318085,0.000104564206,0.00001594107,0.00006347504,0.00002482145],"genre_scores_gemma":[0.93793714,0.0001237973,0.061670206,0.00001527691,0.00013520641,0.0000065613367,0.000001011607,0.00004916119,0.00006165995],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99919516,0.000022791131,0.00040959273,0.00006695331,0.00013195536,0.00017355163],"domain_scores_gemma":[0.99937636,0.00020496926,0.000108228676,0.00012273065,0.00010124274,0.00008649328],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025683077,0.00012374448,0.00021291888,0.00009614781,0.000023899078,0.0000220833,0.00019302184,0.000057229438,0.000007964609],"category_scores_gemma":[0.000011373849,0.00009321439,0.00009033266,0.00008693729,0.0000060503453,0.0001655566,0.0000071014806,0.00008982561,0.0000024718972],"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":[0.000038022597,0.000038055805,0.000043430915,0.00032609171,0.00035328045,0.000005851736,0.00094571576,0.14300711,0.78559786,0.00013011061,0.0028220094,0.06669247],"study_design_scores_gemma":[0.0014275241,0.00010797834,0.00004865155,0.00040508696,0.000046822373,0.00011477428,0.000097933225,0.74213505,0.18943302,0.00016876869,0.06574994,0.00026443132],"about_ca_topic_score_codex":0.0000011958095,"about_ca_topic_score_gemma":6.113339e-7,"teacher_disagreement_score":0.9340489,"about_ca_system_score_codex":0.0001382305,"about_ca_system_score_gemma":0.000013341983,"threshold_uncertainty_score":0.38011727},"labels":[],"label_agreement":null},{"id":"W2507735524","doi":"10.1109/joe.2016.2591718","title":"Comparison of Spectral Estimation Methods for Rapidly Varying Currents Obtained by High-Frequency Radar","year":2016,"lang":"en","type":"article","venue":"IEEE Journal of Oceanic Engineering","topic":"Radar Systems and Signal Processing","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":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Root mean square; Radar; Mathematics; Doppler effect; SIGNAL (programming language); Noise (video); Mean squared error; Signal-to-noise ratio (imaging); Spectral density estimation; Centroid; Series (stratigraphy); Autoregressive model; Algorithm; Statistics; Physics; Computer science; Fourier transform; Mathematical analysis; Telecommunications; Geology","score_opus":0.019304532799005854,"score_gpt":0.31550436506512947,"score_spread":0.2961998322661236,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2507735524","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":[0.13870595,0.0031865689,0.8563395,0.000022564906,0.0015415722,0.00010610102,0.000008815659,0.000059345086,0.000029570481],"genre_scores_gemma":[0.8071245,0.000043816475,0.19252525,0.0000015876943,0.00024872855,0.0000017094657,0.0000010770847,0.000045770503,0.0000075732496],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9983592,0.000029286919,0.0009918184,0.00010914523,0.00022435309,0.00028620477],"domain_scores_gemma":[0.99901533,0.00028762646,0.0003352541,0.00012221868,0.000129698,0.0001098565],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069966796,0.00021035547,0.0005682236,0.00020260902,0.00003704612,0.000027608387,0.00022879218,0.00008832794,0.0000086969685],"category_scores_gemma":[0.00015446059,0.00016369388,0.00015943391,0.00016202129,0.000013363847,0.00045255065,0.0000065731324,0.00018467345,8.152254e-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":[0.000017332974,0.000026080123,0.00010312181,0.0004928291,0.00014035545,0.000001980086,0.00015747474,0.08204348,0.87553227,0.000136417,0.0006603433,0.040688332],"study_design_scores_gemma":[0.0015572296,0.00019445762,0.00013980929,0.0012349156,0.00009083443,0.000055044624,0.000030070703,0.43983603,0.5558216,0.00036111588,0.00035416678,0.00032473213],"about_ca_topic_score_codex":0.0000015718185,"about_ca_topic_score_gemma":6.987117e-8,"teacher_disagreement_score":0.6684185,"about_ca_system_score_codex":0.00016223412,"about_ca_system_score_gemma":0.000035143406,"threshold_uncertainty_score":0.6675243},"labels":[],"label_agreement":null},{"id":"W2555639935","doi":"10.1109/joe.2016.2615686","title":"Striation Processing of Data From the 2013 Target and Reverberation Experiment (TREX13)","year":2016,"lang":"en","type":"article","venue":"IEEE Journal of Oceanic Engineering","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","cited_by":2,"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":"Office of Naval Research Global; Defence Research and Development Canada; Pennsylvania State University","keywords":"Marine mammals and sonar; Sonar; Clutter; Reverberation; Signal processing; Spectrogram; Sonar signal processing; Computer science; Acoustics; Radar; Synthetic aperture sonar; Artificial intelligence; Computer vision; SIGNAL (programming language); Doppler effect; Image processing; Physics; Telecommunications; Image (mathematics)","score_opus":0.04287977390490199,"score_gpt":0.2646429354167546,"score_spread":0.2217631615118526,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2555639935","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":[0.3277046,0.0026860414,0.66831553,0.00080864714,0.0002827425,0.00008697487,0.00008475766,0.0000070780716,0.000023638444],"genre_scores_gemma":[0.9824282,0.00033897872,0.016954646,0.0000071186673,0.00025174618,4.7243258e-8,0.000006734119,0.0000028535453,0.000009663537],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992813,0.000025543892,0.0002416702,0.000078105215,0.00027222192,0.000101184494],"domain_scores_gemma":[0.9994473,0.00021572727,0.0001248953,0.0001197839,0.00004461088,0.000047703852],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004762882,0.00005648731,0.000096739495,0.00004231901,0.00003244232,0.000041267616,0.00024055097,0.0000242164,0.00010255953],"category_scores_gemma":[0.00006095259,0.000029577293,0.00001333975,0.000056329096,0.000016658594,0.0005778757,0.000013885137,0.00008250197,0.0000020949537],"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":[0.00015571532,0.00004356286,0.0371405,0.00010686597,0.00020009058,0.000023400555,0.0015580261,0.19470629,0.69878787,0.000005746071,0.006914593,0.060357366],"study_design_scores_gemma":[0.0008694732,0.00017557683,0.03542465,0.00041433316,0.000039271807,0.0000386155,0.00014490495,0.8826675,0.078330256,0.00017140959,0.001567755,0.00015626977],"about_ca_topic_score_codex":0.00005469165,"about_ca_topic_score_gemma":0.000013271134,"teacher_disagreement_score":0.6879612,"about_ca_system_score_codex":0.000007993674,"about_ca_system_score_gemma":0.00004830619,"threshold_uncertainty_score":0.1206127},"labels":[],"label_agreement":null},{"id":"W2592611947","doi":"10.1109/joe.2017.2658738","title":"Echo, Reverberation, and Echo-to-Reverberation Ratio for a Short Pulse in a Range-Dependent Pekeris Waveguide","year":2017,"lang":"en","type":"article","venue":"IEEE Journal of Oceanic Engineering","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","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":"Mount Allison University; Dalhousie University","funders":"Office of Naval Research","keywords":"Reverberation; Echo (communications protocol); Bathymetry; Acoustics; Sonar; Scattering; Waves and shallow water; Seabed; Marine mammals and sonar; Range (aeronautics); Dispersion (optics); Physics; Optics; Geology; Computational physics; Computer science; Materials science","score_opus":0.02525200271433702,"score_gpt":0.27352616868948915,"score_spread":0.24827416597515212,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2592611947","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":[0.45792755,0.00019455717,0.5401718,0.00041841637,0.00060385134,0.00041288562,0.000025255058,0.000011858689,0.00023379795],"genre_scores_gemma":[0.9783966,0.000119355835,0.020923065,0.000037211223,0.00036136105,0.0000015128946,0.0000037671139,0.000009065766,0.00014804919],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987925,0.000024433515,0.00042965758,0.00015302068,0.0003347302,0.00026560563],"domain_scores_gemma":[0.99926394,0.000118103504,0.000099878656,0.00018023711,0.00016139845,0.00017646638],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010993166,0.00012569598,0.0002212595,0.00023681641,0.0001618436,0.00035317987,0.0002661812,0.00006388201,0.000046888104],"category_scores_gemma":[0.00038872607,0.000112284644,0.000047825495,0.000064489876,0.000015191402,0.0006377009,0.000013127907,0.00023147298,0.000005305589],"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":[0.00022360214,0.000032854005,0.051328298,0.00016940148,0.00008706338,0.00015555006,0.001066746,0.8498263,0.08528673,0.0000057559387,0.00089837116,0.01091935],"study_design_scores_gemma":[0.0011928466,0.00036849285,0.08930428,0.00020223449,0.000036486563,0.00024188567,0.000064138156,0.88472795,0.023019321,0.00014986235,0.0004039124,0.0002885859],"about_ca_topic_score_codex":0.00008884897,"about_ca_topic_score_gemma":0.00049787736,"teacher_disagreement_score":0.52046907,"about_ca_system_score_codex":0.000038130926,"about_ca_system_score_gemma":0.00008357687,"threshold_uncertainty_score":0.4578835},"labels":[],"label_agreement":null},{"id":"W2598745103","doi":"10.1109/joe.2017.2674106","title":"A Normal Mode Reverberation and Target Echo Model to Interpret Towed Array Data in the Target and Reverberation Experiments","year":2017,"lang":"en","type":"article","venue":"IEEE Journal of Oceanic Engineering","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Defence Research and Development Canada; Mount Allison University","funders":"Pennsylvania State University; Office of Naval Research; University of Washington","keywords":"Reverberation; Bathymetry; Acoustics; Geology; Scattering; Range (aeronautics); Echo (communications protocol); Sonar; Remote sensing; Computer science; Optics; Physics; Engineering; Oceanography","score_opus":0.042968745791909825,"score_gpt":0.3030930073373793,"score_spread":0.26012426154546947,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2598745103","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":[0.3389366,0.000261126,0.65980726,0.0003789549,0.0002070992,0.00014975209,0.000044549146,0.000004675866,0.00020995871],"genre_scores_gemma":[0.91969454,0.000090347836,0.08000281,0.000061313694,0.00012069839,3.097609e-7,0.000009733023,0.0000041009166,0.000016168655],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991097,0.000033545773,0.00025032175,0.0001373022,0.00028872048,0.00018041677],"domain_scores_gemma":[0.9994513,0.00006457711,0.00006805479,0.00028998262,0.000028242319,0.00009784539],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000841767,0.00009599554,0.00013683806,0.0001053677,0.000120407574,0.0003179446,0.00049560965,0.000038598875,0.00001464978],"category_scores_gemma":[0.00016850964,0.00007039732,0.000013417903,0.000039308885,0.000017691911,0.0010796185,0.00003474383,0.00023967208,0.0000011749454],"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":[0.000064442225,0.000012903785,0.006337427,0.000029438828,0.000022606257,0.00002831974,0.0031019682,0.92594343,0.063415386,0.0000018450181,0.00051396,0.00052829017],"study_design_scores_gemma":[0.00025144825,0.000081887694,0.004750966,0.00006881142,0.0000063119637,0.00006606846,0.00007098094,0.9871769,0.0072637512,0.00011270128,0.00006225612,0.000087949105],"about_ca_topic_score_codex":0.000065208704,"about_ca_topic_score_gemma":0.00004695235,"teacher_disagreement_score":0.5807579,"about_ca_system_score_codex":0.00001115803,"about_ca_system_score_gemma":0.00003892201,"threshold_uncertainty_score":0.3065947},"labels":[],"label_agreement":null},{"id":"W2615756766","doi":"10.1109/joe.2017.2699058","title":"Characterizing Transmission Loss Variability During the Target and Reverberation Experiment 2013","year":2017,"lang":"en","type":"article","venue":"IEEE Journal of Oceanic Engineering","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","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":"Defence Research and Development Canada","funders":"Office of Naval Research; Defence Research and Development Canada; Pennsylvania State University","keywords":"Reverberation; Standard deviation; Transmission loss; Acoustics; Sonar; Ranging; Underwater acoustics; Underwater; Transmission (telecommunications); Environmental science; Physics; Geology; Statistics; Mathematics; Geodesy; Telecommunications; Computer science; Oceanography","score_opus":0.013149917500948547,"score_gpt":0.23541993149586876,"score_spread":0.22227001399492022,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2615756766","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":[0.9283945,0.00026172292,0.07014428,0.0006159673,0.0004099428,0.00008558196,0.0000042560036,0.000007821652,0.000075939424],"genre_scores_gemma":[0.9930709,0.00025031777,0.006352028,0.000008222987,0.00028670477,1.5293621e-7,6.926034e-7,0.0000041714648,0.000026834517],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991802,0.00003708694,0.00024022981,0.00009352246,0.00026439736,0.00018456716],"domain_scores_gemma":[0.9994738,0.00008244187,0.00012767613,0.00017011636,0.000034532262,0.000111413756],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008617939,0.00008849379,0.00012833628,0.000046065074,0.00030520232,0.00021784028,0.00026022427,0.00003711224,0.00011148679],"category_scores_gemma":[0.00005439147,0.000057425677,0.000039415398,0.000023593455,0.00003459563,0.00048618042,0.000011070006,0.0002568826,0.0000022453683],"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":[0.0001335545,0.000029540173,0.04297702,0.00025666296,0.00009881027,0.00013709553,0.001684057,0.25181705,0.69906783,0.0000034356472,0.00008759724,0.0037073211],"study_design_scores_gemma":[0.0006757256,0.00013064814,0.401624,0.00019560702,0.000022423299,0.00042247,0.000049770613,0.41878623,0.17628427,0.00009312458,0.001496827,0.00021891252],"about_ca_topic_score_codex":0.00002972846,"about_ca_topic_score_gemma":0.000001534314,"teacher_disagreement_score":0.5227836,"about_ca_system_score_codex":0.0000149995285,"about_ca_system_score_gemma":0.000026431002,"threshold_uncertainty_score":0.23474005},"labels":[],"label_agreement":null},{"id":"W2619573578","doi":"10.1109/joe.2017.2713110","title":"Bistatic High-Frequency Radar Ocean Surface Cross Section Incorporating a Dual-Frequency Platform Motion Model","year":2017,"lang":"en","type":"article","venue":"IEEE Journal of Oceanic Engineering","topic":"Ocean Waves and Remote Sensing","field":"Earth and Planetary Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Bistatic radar; Radar cross-section; Radar; Radar engineering details; Continuous-wave radar; Acoustics; Computer science; Radar imaging; Geology; Remote sensing; Physics; Telecommunications","score_opus":0.017326080679207146,"score_gpt":0.2264360170505886,"score_spread":0.20910993637138145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2619573578","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":[0.9856638,0.0002388716,0.010591125,0.00009302276,0.0028147157,0.00008829379,0.000020368354,0.00004301508,0.0004468204],"genre_scores_gemma":[0.96732897,0.00008300158,0.031668667,0.000016079402,0.00082372193,1.4368621e-9,0.000007337856,0.000019435163,0.00005281116],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982425,0.000020615713,0.0006992153,0.00020352434,0.0004518001,0.00038232657],"domain_scores_gemma":[0.99836296,0.000071846545,0.00086619984,0.0003098245,0.00017768942,0.00021149349],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00076228206,0.0002504889,0.000349044,0.00012556154,0.000502839,0.0003949187,0.00032175586,0.0001316574,0.000021575008],"category_scores_gemma":[0.00017600566,0.00021345622,0.00014887401,0.00011691292,0.00006587924,0.0015836783,0.000013046887,0.00055036566,0.000007520135],"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":[0.000018715014,0.000012907324,0.012577318,0.00008916665,0.000054221327,0.00018351575,0.00017774917,0.97703797,0.008469788,0.00008863003,0.000039107388,0.001250899],"study_design_scores_gemma":[0.0006379492,0.00015829576,0.050406534,0.00027019385,0.000044675227,0.00069384644,0.000054523993,0.94358,0.0018834664,0.0019515847,0.0000057730645,0.00031318807],"about_ca_topic_score_codex":0.00029734935,"about_ca_topic_score_gemma":0.000041204057,"teacher_disagreement_score":0.037829217,"about_ca_system_score_codex":0.000053463722,"about_ca_system_score_gemma":0.00011145602,"threshold_uncertainty_score":0.87044924},"labels":[],"label_agreement":null},{"id":"W2620851048","doi":"10.1109/joe.2017.2704198","title":"Matched-Filter Loss From Time-Varying Rough-Surface Reflection With a Small Effective Ensonified Area","year":2017,"lang":"en","type":"article","venue":"IEEE Journal of Oceanic 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":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University; Defence Research and Development Canada","funders":"","keywords":"Optics; Surface roughness; Sonar; Surface wave; Reflection (computer programming); Pulse duration; Pulse (music); Wavelength; Surface finish; Rayleigh scattering; Acoustics; Surface (topology); Materials science; Physics; Mathematics; Geometry; Computer science","score_opus":0.026806081295049085,"score_gpt":0.24059713376434375,"score_spread":0.21379105246929467,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2620851048","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":[0.88920367,0.0001374069,0.10938225,0.00007549281,0.00044419704,0.0001238828,0.000015758435,0.000026330501,0.00059101504],"genre_scores_gemma":[0.9832565,0.000044219687,0.016159333,0.000013080835,0.0003727335,2.1700261e-7,0.0000035826613,0.00001475696,0.00013555124],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99875647,0.000040277097,0.00026628838,0.00018176151,0.00040090934,0.00035427196],"domain_scores_gemma":[0.99890757,0.0002595749,0.00024490702,0.00026797148,0.00014139597,0.00017859008],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004561503,0.00018335039,0.00029547542,0.000101507445,0.00019651819,0.0003088197,0.0004395801,0.00008365839,0.00017836908],"category_scores_gemma":[0.00008459084,0.000138621,0.000074262556,0.0000787472,0.00003968107,0.0004943686,0.000016305472,0.00052871025,0.000059155842],"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":[0.00027121324,0.000016832037,0.018099263,0.000037199265,0.00021953841,0.00044271376,0.00034069023,0.93743396,0.040751018,2.8769574e-7,0.000059818936,0.0023274724],"study_design_scores_gemma":[0.0015740719,0.0006901642,0.084726736,0.0005052504,0.00011269582,0.00059277663,0.000033637254,0.8566446,0.054314923,0.00012186081,0.00025912182,0.0004242043],"about_ca_topic_score_codex":0.00026362765,"about_ca_topic_score_gemma":0.000054852524,"teacher_disagreement_score":0.09405286,"about_ca_system_score_codex":0.000041547,"about_ca_system_score_gemma":0.00006165857,"threshold_uncertainty_score":0.5652801},"labels":[],"label_agreement":null},{"id":"W2741742414","doi":"10.1109/joe.2017.2722225","title":"Wind Speed Retrieval From Hybrid-Pol Compact Polarization Synthetic Aperture Radar Images","year":2017,"lang":"en","type":"article","venue":"IEEE Journal of Oceanic Engineering","topic":"Ocean Waves and Remote Sensing","field":"Earth and Planetary Sciences","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":"Bedford Institute of Oceanography; Fisheries and Oceans Canada","funders":"National Key Research and Development Program of China; Canadian Space Agency; National Natural Science Foundation of China","keywords":"Synthetic aperture radar; Buoy; Wind speed; Remote sensing; Polarization (electrochemistry); Computer science; Algorithm; Radar; Physics; Geology; Meteorology; Telecommunications","score_opus":0.00995494644129555,"score_gpt":0.20621484278451477,"score_spread":0.19625989634321922,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2741742414","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":[0.99501646,0.0008730407,0.00078975846,0.00038679145,0.0024216063,0.000052730695,0.00005500473,0.000019190165,0.0003854342],"genre_scores_gemma":[0.9976327,0.00010065287,0.0011151547,0.000043587075,0.0009972195,2.4818914e-11,0.0000086319915,0.000011564917,0.00009052241],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989126,0.000024876927,0.00034294414,0.00013378743,0.00033442062,0.00025138445],"domain_scores_gemma":[0.99896634,0.00017379518,0.0003702588,0.0002449871,0.00006511632,0.00017949895],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027458565,0.00017052992,0.00029593252,0.000105274885,0.00021811614,0.00025815365,0.00033858966,0.00006636833,0.00011017111],"category_scores_gemma":[0.0002994659,0.00013272643,0.00013698949,0.000050411214,0.000042137897,0.0005060061,0.0000069065313,0.0003778303,0.000019790457],"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":[0.0005795972,0.00009136658,0.043579243,0.00018294512,0.00087898824,0.0025777735,0.0006449993,0.42787838,0.50475097,0.000013051033,0.0035206103,0.015302077],"study_design_scores_gemma":[0.0012039484,0.0002458567,0.39649302,0.00069069996,0.00016494136,0.0012221996,0.00010356658,0.564715,0.032651365,0.000121608784,0.0018369047,0.0005508757],"about_ca_topic_score_codex":0.00009544472,"about_ca_topic_score_gemma":0.0000016276974,"teacher_disagreement_score":0.4720996,"about_ca_system_score_codex":0.000013906346,"about_ca_system_score_gemma":0.000044030472,"threshold_uncertainty_score":0.54124266},"labels":[],"label_agreement":null},{"id":"W2773370428","doi":"10.1109/joe.2017.2771747","title":"Coupled Hydroplane and Variable Ballast Control System for Autonomous Underwater Vehicle Altitude-Keeping to Variable Seabed","year":2017,"lang":"en","type":"article","venue":"IEEE Journal of Oceanic Engineering","topic":"Underwater Vehicles and Communication Systems","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":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Ballast; Underwater; Engineering; Marine engineering; Control theory (sociology); Deflection (physics); Variable (mathematics); Seabed; Control system; Remotely operated underwater vehicle; Control engineering; Computer science; Control (management); Mobile robot; Robot; Geology; Mathematics","score_opus":0.010820035476269169,"score_gpt":0.21052549668140616,"score_spread":0.199705461205137,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2773370428","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":[0.20274252,0.0005210219,0.7950581,0.00010356086,0.00082863553,0.00034617822,0.000015637475,0.00015065205,0.00023375286],"genre_scores_gemma":[0.983579,0.000025355941,0.015844911,0.00003507534,0.0003822383,0.000013850082,0.0000010765759,0.00006921243,0.000049285412],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99864835,0.000018505567,0.00062247564,0.00014563481,0.00018330669,0.00038171912],"domain_scores_gemma":[0.9988426,0.00013224744,0.00020181174,0.00044135202,0.00014993339,0.00023204213],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007211986,0.00022481203,0.00050172396,0.00013204118,0.00022481903,0.0003295845,0.0005365337,0.000106257714,0.0000049659607],"category_scores_gemma":[0.000019950987,0.00021662936,0.00007513577,0.000058446145,0.000013583408,0.00026906334,0.000045895038,0.00022946489,0.0000060154675],"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":[0.00003926122,0.000015978916,0.00016753323,0.0005264068,0.00033974997,0.000011631001,0.0001796574,0.5339764,0.46401823,0.00039136395,0.00009264698,0.00024114951],"study_design_scores_gemma":[0.0023376625,0.00012809978,0.00040114438,0.00070443214,0.00009924998,0.00025926658,0.00008004884,0.9777974,0.010686514,0.000021848862,0.0071558943,0.00032844138],"about_ca_topic_score_codex":0.00001974956,"about_ca_topic_score_gemma":0.0000020129105,"teacher_disagreement_score":0.78083646,"about_ca_system_score_codex":0.00021701373,"about_ca_system_score_gemma":0.000041643714,"threshold_uncertainty_score":0.8833889},"labels":[],"label_agreement":null},{"id":"W2808753708","doi":"10.1109/joe.2018.2838939","title":"DeepCaustics: Classification and Removal of Caustics From Underwater Imagery","year":2018,"lang":"en","type":"article","venue":"IEEE Journal of Oceanic Engineering","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","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":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Caustic (mathematics); Artificial intelligence; Underwater; Convolutional neural network; Computer vision; Computer science; Projection (relational algebra); Artificial neural network; Pixel; Geology; Mathematics; Algorithm; Geometry","score_opus":0.024194354749075924,"score_gpt":0.21574366748511697,"score_spread":0.19154931273604106,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2808753708","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":[0.9887155,0.00058035227,0.00979085,0.00002099572,0.00064496684,0.000017425562,0.000014764255,0.000008440927,0.00020665806],"genre_scores_gemma":[0.9907753,0.00009471922,0.008631028,0.000012805045,0.00044550138,1.2981274e-8,0.0000033993952,0.0000033147574,0.00003394325],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993948,0.000018416256,0.0002659071,0.00006613454,0.0001435036,0.00011127717],"domain_scores_gemma":[0.99953616,0.00011146413,0.00012331699,0.00006496709,0.0000914458,0.00007264284],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023872135,0.00007349325,0.00014129779,0.000048328195,0.00003048035,0.00002347162,0.00008257803,0.000043917178,0.00009086596],"category_scores_gemma":[0.000059888185,0.000055183238,0.0000328156,0.000066863235,0.00004068001,0.00014842914,0.0000029803164,0.000119436154,0.000007179981],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042736964,0.00009790248,0.46285802,0.00046119324,0.00068783155,0.0009342497,0.0042796973,0.039068572,0.42488757,0.00016150522,0.0038623554,0.06227375],"study_design_scores_gemma":[0.0004509635,0.00030438072,0.8579818,0.00021946743,0.00010199618,0.0006385003,0.0004388241,0.12995148,0.008386384,0.00019636998,0.001091742,0.0002380803],"about_ca_topic_score_codex":0.00003072732,"about_ca_topic_score_gemma":0.000018861207,"teacher_disagreement_score":0.41650116,"about_ca_system_score_codex":0.0000046985333,"about_ca_system_score_gemma":0.000017425597,"threshold_uncertainty_score":0.22503072},"labels":[],"label_agreement":null},{"id":"W2892707258","doi":"10.1109/joe.2018.2866317","title":"Reference-Point Algorithms for Active Motion Compensation of Towed Bodies","year":2018,"lang":"en","type":"article","venue":"IEEE Journal of Oceanic Engineering","topic":"Vibration and Dynamic Analysis","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University; Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Dalhousie University; Carleton University","keywords":"Winch; Compensation (psychology); Point (geometry); Motion compensation; Control theory (sociology); Motion (physics); Engineering; Computer science; Algorithm; Computer vision; Mathematics; Artificial intelligence; Mechanical engineering; Geometry","score_opus":0.02221150548393173,"score_gpt":0.2463459002737722,"score_spread":0.22413439478984049,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2892707258","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":[0.083776705,0.000058238576,0.91515243,0.000023625604,0.00056209107,0.0000612403,0.000008903972,0.00003877648,0.00031800178],"genre_scores_gemma":[0.9867347,0.000047222355,0.012850107,0.0000061257497,0.0003168003,0.0000011380989,0.0000037606972,0.00001814776,0.00002198242],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99926436,0.0000072441476,0.0004105247,0.000058621423,0.00014324521,0.00011601489],"domain_scores_gemma":[0.99939007,0.00005113249,0.0001462947,0.00008135831,0.00028297436,0.000048155507],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018461289,0.00010258421,0.00023610449,0.00020487374,0.00002423134,0.000013026321,0.00008974201,0.000056516375,0.000028023924],"category_scores_gemma":[0.000054301636,0.000096828204,0.00010638896,0.00010478492,0.00001580833,0.00024755768,0.000004919198,0.00010990669,0.0000021064623],"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":[0.000054402837,0.000034262142,0.0000542767,0.00016291041,0.00046300073,0.0000023384587,0.001250107,0.9064136,0.080125704,0.00062209857,0.0006845139,0.010132785],"study_design_scores_gemma":[0.00038865377,0.00013189125,0.0010539988,0.00007169376,0.000064385495,0.0000145109525,0.00014619576,0.9475802,0.050118368,0.00010186741,0.0002289174,0.00009928474],"about_ca_topic_score_codex":0.0000011599981,"about_ca_topic_score_gemma":0.0000020994426,"teacher_disagreement_score":0.90295804,"about_ca_system_score_codex":0.000084857245,"about_ca_system_score_gemma":0.0000146633665,"threshold_uncertainty_score":0.39485395},"labels":[],"label_agreement":null},{"id":"W2943750579","doi":"10.1109/joe.2019.2908026","title":"Ship-of-Opportunity Noise Inversions for Geoacoustic Profiles of a Layered Mud-Sand Seabed","year":2019,"lang":"en","type":"article","venue":"IEEE Journal of Oceanic Engineering","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","cited_by":33,"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 Victoria","funders":"Office of Naval Research Global; Office of Naval Research","keywords":"Seabed; Geology; Inversion (geology); Sonar; Underwater acoustics; Speed of sound; Acoustics; Oceanography; Seismology; Underwater","score_opus":0.030734514009586687,"score_gpt":0.24382233321904295,"score_spread":0.21308781920945627,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2943750579","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":[0.9584828,0.00014792917,0.040350728,0.000036857655,0.0004787587,0.00023156707,0.000103354396,0.000008693957,0.00015930775],"genre_scores_gemma":[0.99354637,0.00005084631,0.0061797155,0.000008682571,0.00009916438,2.3714296e-7,0.0000066664575,0.0000082658025,0.00010006152],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987565,0.000026536416,0.000450975,0.00009684415,0.00039996728,0.0002691611],"domain_scores_gemma":[0.99865866,0.00050480245,0.00022846248,0.00014194676,0.000250175,0.00021597095],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00065509044,0.00011399912,0.0003163963,0.00027269145,0.000027820535,0.000016956461,0.00028364998,0.00006823433,0.0003223258],"category_scores_gemma":[0.00026761592,0.00009371334,0.00012521973,0.00018285049,0.000030314728,0.00018978861,0.00001157483,0.00024185155,0.000006138422],"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":[0.00015605493,0.00004329692,0.022826627,0.0007605771,0.00013839478,0.000018963807,0.0002618165,0.8259068,0.14897996,0.0000060208195,0.00041190733,0.00048953935],"study_design_scores_gemma":[0.0011817263,0.00070191454,0.023564747,0.00028354753,0.00007858662,0.00006766322,0.00020860207,0.9348388,0.038693488,0.0000954023,0.00010839114,0.00017718364],"about_ca_topic_score_codex":0.000032560358,"about_ca_topic_score_gemma":0.000004051724,"teacher_disagreement_score":0.11028648,"about_ca_system_score_codex":0.000013104635,"about_ca_system_score_gemma":0.00023782048,"threshold_uncertainty_score":0.3821519},"labels":[],"label_agreement":null},{"id":"W2945749703","doi":"10.1109/joe.2019.2909961","title":"Nonlinear Extraction of Directional Ocean Wave Spectrum From Synthetic Bistatic High-Frequency Surface Wave Radar Data","year":2019,"lang":"en","type":"article","venue":"IEEE Journal of Oceanic Engineering","topic":"Ocean Waves and Remote Sensing","field":"Earth and Planetary Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Tikhonov regularization; Wave radar; Surface wave; Radar; Bistatic radar; Acoustics; Initialization; Doppler effect; Nonlinear system; Computer science; Algorithm; Inverse problem; Physics; Mathematics; Mathematical analysis; Radar imaging; Telecommunications","score_opus":0.01592753095853572,"score_gpt":0.20445049505563473,"score_spread":0.188522964097099,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2945749703","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":[0.9929642,0.00076459284,0.0018070048,0.000107911124,0.0038757517,0.00008097522,0.00019121813,0.000020568115,0.00018779241],"genre_scores_gemma":[0.9602914,0.00022301331,0.038730703,0.00001098612,0.00061616604,4.3788417e-10,0.000056719735,0.000015241098,0.000055762055],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983724,0.000042276166,0.00061983755,0.00023005386,0.00046717614,0.00026828083],"domain_scores_gemma":[0.99867666,0.0003532457,0.00041098893,0.00035252754,0.00007053545,0.00013604971],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004477943,0.00019151156,0.00038873806,0.00014160718,0.000045077682,0.000042417352,0.00025581292,0.000080939804,0.0003933081],"category_scores_gemma":[0.00007093619,0.00015946125,0.00010784268,0.00019959339,0.000029198389,0.0005057279,0.000014471051,0.00040369024,0.000022977238],"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":[0.00039906235,0.00028175223,0.018938214,0.0006006336,0.0013457588,0.0011186971,0.0007876807,0.7870893,0.17661802,0.00007641504,0.000930632,0.011813864],"study_design_scores_gemma":[0.0007967002,0.0003244253,0.046553537,0.0005876382,0.00016163831,0.0008855459,0.00018754383,0.93315715,0.016147122,0.00029540923,0.0004919372,0.00041133177],"about_ca_topic_score_codex":0.00032502302,"about_ca_topic_score_gemma":0.000018977713,"teacher_disagreement_score":0.1604709,"about_ca_system_score_codex":0.000024927202,"about_ca_system_score_gemma":0.00009376332,"threshold_uncertainty_score":0.65026414},"labels":[],"label_agreement":null},{"id":"W2946451720","doi":"10.1109/joe.2019.2911446","title":"Efficient Estimation and Prediction for Sparse Time-Varying Underwater Acoustic Channels","year":2019,"lang":"en","type":"article","venue":"IEEE Journal of Oceanic Engineering","topic":"Underwater Vehicles and Communication Systems","field":"Engineering","cited_by":79,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Channel (broadcasting); Computer science; Algorithm; A priori and a posteriori; Underwater acoustic communication; Channel state information; Matching pursuit; Mean squared error; Bit error rate; Frequency domain; Computational complexity theory; Bandwidth (computing); Compressed sensing; Underwater; Wireless; Mathematics; Statistics; Telecommunications","score_opus":0.010938408957418837,"score_gpt":0.20272987196533765,"score_spread":0.1917914630079188,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2946451720","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":[0.5766503,0.00024395797,0.42244178,0.000016345839,0.00042347293,0.00013492523,0.0000026965558,0.000057608515,0.000028917675],"genre_scores_gemma":[0.99505436,0.000023646035,0.0046546794,0.0000062734025,0.00016982992,0.0000034611764,0.0000016221793,0.00003561143,0.000050515173],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99924153,0.000008932875,0.00038144927,0.00007226479,0.00013416028,0.00016165923],"domain_scores_gemma":[0.999593,0.00007744804,0.000078919984,0.00011997352,0.00006495136,0.00006570231],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029217216,0.00011951133,0.00019581719,0.00014194477,0.000029074801,0.00005279936,0.00010768167,0.000059427897,0.0000070337614],"category_scores_gemma":[0.0000048471975,0.00011041741,0.000058844485,0.000071252856,0.000005122573,0.000089867906,0.000011979407,0.00013676913,0.0000112418575],"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":[0.000006253069,0.000006535382,0.000019138517,0.00014506427,0.000042635605,6.5498654e-7,0.00018878223,0.83598554,0.1631174,0.0000050259605,0.00003527947,0.0004476775],"study_design_scores_gemma":[0.00051152636,0.00007077647,0.00008877368,0.00022697407,0.0000305408,0.00010223136,0.000027263184,0.9835085,0.015009278,0.000017837776,0.00030239674,0.00010385641],"about_ca_topic_score_codex":3.4472086e-7,"about_ca_topic_score_gemma":3.455453e-8,"teacher_disagreement_score":0.41840407,"about_ca_system_score_codex":0.00008198102,"about_ca_system_score_gemma":0.00000918737,"threshold_uncertainty_score":0.4502691},"labels":[],"label_agreement":null},{"id":"W2969412642","doi":"10.1109/joe.2019.2931853","title":"A Simulation Study for Long-Range Underwater Acoustic Networks in the High North","year":2019,"lang":"en","type":"article","venue":"IEEE Journal of Oceanic Engineering","topic":"Underwater Vehicles and Communication Systems","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Defence Research and Development Canada","funders":"Defence Research and Development Canada","keywords":"Physical layer; Computer science; Underwater acoustic communication; Network packet; Energy consumption; Computer network; Bandwidth (computing); Routing protocol; Underwater; Network layer; Real-time computing; Telecommunications; Engineering; Wireless; Electrical engineering; Layer (electronics); Geography","score_opus":0.015505158366455742,"score_gpt":0.22678639421921695,"score_spread":0.2112812358527612,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2969412642","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":[0.6409154,0.00015396798,0.35834968,0.000013074585,0.00025731698,0.00028180954,6.5557936e-7,0.000022123402,0.000005938103],"genre_scores_gemma":[0.9993622,0.000015076265,0.00030234875,0.000016979739,0.0002471969,0.000007748373,0.0000010309544,0.00003506134,0.000012357935],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990587,0.000032422966,0.0004639994,0.000068887544,0.00018356192,0.00019240912],"domain_scores_gemma":[0.9992928,0.000304972,0.00008006962,0.00022451418,0.00006438915,0.000033262513],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047020434,0.00013085466,0.00022474697,0.00012457,0.000022595412,0.000055401888,0.00033715268,0.000047355556,0.000004315431],"category_scores_gemma":[0.0000047917383,0.000095538366,0.000076357275,0.00017386951,0.0000032595378,0.00013323639,0.000011243555,0.000272548,0.0000036889228],"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":[0.000011540609,0.00003913542,0.009584839,0.00005303329,0.000055162305,0.0000054762468,0.00069488154,0.9889729,0.0004220555,0.000002041434,0.000010789446,0.00014814292],"study_design_scores_gemma":[0.0009625102,0.0001505271,0.039263353,0.00007232862,0.000032706947,0.00001732153,0.00027630522,0.958866,0.000054606557,0.0000065377817,0.00017453954,0.00012325963],"about_ca_topic_score_codex":0.000002970823,"about_ca_topic_score_gemma":0.00002345136,"teacher_disagreement_score":0.35844678,"about_ca_system_score_codex":0.00007977461,"about_ca_system_score_gemma":0.000007725453,"threshold_uncertainty_score":0.38959417},"labels":[],"label_agreement":null},{"id":"W2999999793","doi":"10.1109/joe.2019.2960879","title":"An Experimental Benchmark for Geoacoustic Inversion Methods","year":2020,"lang":"en","type":"article","venue":"IEEE Journal of Oceanic Engineering","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","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 Victoria; Defence Research and Development Canada","funders":"Office of Naval Research","keywords":"Inversion (geology); Benchmark (surveying); Sonar; Geology; Computer science; Attenuation; Underwater; Seabed; Waves and shallow water; Acoustics; Geophysics; Seismology; Artificial intelligence; Geodesy; Oceanography","score_opus":0.04011369039094436,"score_gpt":0.31232887883844757,"score_spread":0.2722151884475032,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2999999793","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":[0.2263153,0.00034952897,0.7725362,0.000098481556,0.00052181253,0.0000911043,0.000012380384,0.00001800188,0.000057167832],"genre_scores_gemma":[0.85607356,0.000015768088,0.14333008,0.00008126627,0.00048346727,1.441042e-7,0.0000042940696,0.0000070026285,0.000004445428],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99906164,0.00004066186,0.0002662446,0.00011559504,0.00026868406,0.00024715965],"domain_scores_gemma":[0.9992291,0.00020820119,0.00007601822,0.00007300424,0.00007390245,0.00033980396],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050482835,0.00010497014,0.00018041952,0.000104196406,0.00005151704,0.000058418544,0.00029365532,0.00004755683,0.00025692955],"category_scores_gemma":[0.00010396081,0.0000894014,0.00008159177,0.00013082226,0.000015015703,0.00031521902,0.000006324867,0.00021899345,0.0000063947764],"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":[0.00006934146,0.000013840045,0.00048507674,0.000052834454,0.000029893334,0.000028970475,0.0004036002,0.76118165,0.2349792,0.0000018605156,0.00050528435,0.002248474],"study_design_scores_gemma":[0.00035986622,0.00077877106,0.00064082694,0.0000177009,0.000019744079,0.00004064247,0.00017985902,0.94067866,0.056719888,0.000017702232,0.00044237293,0.000103996405],"about_ca_topic_score_codex":0.000005800208,"about_ca_topic_score_gemma":5.9319865e-7,"teacher_disagreement_score":0.62975824,"about_ca_system_score_codex":0.000015857522,"about_ca_system_score_gemma":0.000055385142,"threshold_uncertainty_score":0.36456832},"labels":[],"label_agreement":null},{"id":"W3003692985","doi":"10.1109/joe.2019.2959289","title":"HF Radar Ocean Surface Cross Section for the Case of Floating Platform Incorporating a Six-DOF Oscillation Motion Model","year":2020,"lang":"en","type":"article","venue":"IEEE Journal of Oceanic Engineering","topic":"Ocean Waves and Remote Sensing","field":"Earth and Planetary Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Radar; Oscillation (cell signaling); Antenna (radio); Radar cross-section; Physics; Geology; Wind wave; Acoustics; Rotation (mathematics); Surface wave; Scattering; Optics; Computer science; Telecommunications","score_opus":0.025292261982456057,"score_gpt":0.22606330362682792,"score_spread":0.20077104164437187,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3003692985","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":[0.856718,0.0002046698,0.14217842,0.000093624745,0.0006295043,0.000116460156,0.000016759604,0.000016646154,0.000025923186],"genre_scores_gemma":[0.9812997,0.000019189034,0.017923456,0.000025244253,0.0007138051,9.954026e-10,0.0000036709569,0.000010435663,0.000004492037],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989588,0.000014149432,0.00054784125,0.000111407935,0.0001909191,0.00017683077],"domain_scores_gemma":[0.9989429,0.00024857692,0.00048042805,0.000072622075,0.00015778655,0.000097683165],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006380483,0.00012891884,0.00020997546,0.00004520196,0.00018211476,0.00006502575,0.00010292864,0.000066813656,0.000005065821],"category_scores_gemma":[0.0001646546,0.00009349776,0.00013189268,0.00020274063,0.0000220757,0.00043877948,0.000006224462,0.00025854303,4.1906563e-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":[0.000040847997,0.0000028754564,0.00071563566,0.00008980238,0.000030374207,0.000031618863,0.000512163,0.9924563,0.0041050278,0.000011563637,0.000026369838,0.0019774055],"study_design_scores_gemma":[0.00037470457,0.00014600439,0.00071796036,0.000071499235,0.000037598205,0.00068309525,0.00039739706,0.9944159,0.002977835,0.00006307234,0.000013031397,0.00010189414],"about_ca_topic_score_codex":0.00004433342,"about_ca_topic_score_gemma":0.000012738544,"teacher_disagreement_score":0.12458172,"about_ca_system_score_codex":0.000016517266,"about_ca_system_score_gemma":0.00004726553,"threshold_uncertainty_score":0.3812728},"labels":[],"label_agreement":null},{"id":"W3035963388","doi":"10.1109/joe.2020.2997215","title":"The Oceanographic Sensitivity of the Acoustic Channel in Shallow Water","year":2020,"lang":"en","type":"article","venue":"IEEE Journal of Oceanic Engineering","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Atlantic Canada Opportunities Agency","keywords":"Bathymetry; Transmission loss; Acoustics; Sensitivity (control systems); Waves and shallow water; Underwater; Channel (broadcasting); Underwater acoustics; Underwater acoustic communication; Delay spread; Coherence (philosophical gambling strategy); Ray tracing (physics); Geology; Environmental science; Multipath propagation; Engineering; Electronic engineering; Optics; Physics; Telecommunications; Oceanography","score_opus":0.017412572740161596,"score_gpt":0.2029857866853027,"score_spread":0.18557321394514112,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3035963388","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":[0.9793197,0.00023808671,0.018702542,0.0010781381,0.00050999736,0.00009080109,0.00000729767,0.000007572707,0.00004587263],"genre_scores_gemma":[0.9995553,0.00010281376,0.000097846,0.000050715757,0.00017887684,5.2804047e-8,3.7311867e-7,0.000005492157,0.0000085538695],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99875796,0.00009047534,0.00033518593,0.00008104897,0.00043032898,0.0003050136],"domain_scores_gemma":[0.9992952,0.00033285122,0.00007804815,0.00010977145,0.00007804939,0.00010612129],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010928066,0.00009880099,0.00017283794,0.000086974476,0.000063252664,0.000039221068,0.00033970285,0.000041365114,0.000020693129],"category_scores_gemma":[0.00016671269,0.000047091424,0.000106274645,0.0002771095,0.000051931976,0.0001233586,0.000021087679,0.00048337114,0.0000047087615],"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":[0.000027906535,0.0000061961814,0.012419088,0.0000459292,0.00003188283,0.00006393557,0.000457434,0.96070737,0.025948308,6.7915494e-7,0.00005584791,0.0002354143],"study_design_scores_gemma":[0.00022513054,0.00008895692,0.047953196,0.00006198358,0.000015957876,0.00009281186,0.00009993275,0.94094557,0.01032766,0.00003876822,0.00007257069,0.000077451245],"about_ca_topic_score_codex":0.000021996648,"about_ca_topic_score_gemma":0.00011167834,"teacher_disagreement_score":0.03553411,"about_ca_system_score_codex":0.000007891858,"about_ca_system_score_gemma":0.000045010776,"threshold_uncertainty_score":0.2100034},"labels":[],"label_agreement":null},{"id":"W3089238151","doi":"10.1109/joe.2020.3009770","title":"A New Automatic Nonlinear Optimization-Based Method for Directional Ocean Wave Spectrum Extraction From Monostatic HF-Radar Data","year":2020,"lang":"en","type":"article","venue":"IEEE Journal of Oceanic Engineering","topic":"Ocean Waves and Remote Sensing","field":"Earth and Planetary Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Wave radar; Radar; Buoy; Wind wave; Remote sensing; Wave height; Electromagnetic spectrum; Doppler effect; Computer science; Nonlinear system; Doppler radar; Artificial intelligence; Algorithm; Geology; Continuous-wave radar; Radar imaging; Physics; Optics; Telecommunications","score_opus":0.030256642317268868,"score_gpt":0.248860145559686,"score_spread":0.21860350324241712,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3089238151","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":[0.015956813,0.00034334522,0.9809442,0.0011522417,0.0012327603,0.00013003776,0.0001613963,0.000051561077,0.000027611504],"genre_scores_gemma":[0.09706194,0.00003430979,0.90072834,0.0001685711,0.0018354204,2.8096083e-9,0.00014215242,0.000018061939,0.000011170731],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987164,0.000034770983,0.0005136585,0.00021433977,0.0003004418,0.0002203773],"domain_scores_gemma":[0.99861264,0.0005999403,0.0002984521,0.00016050496,0.00005290434,0.00027555262],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030500483,0.00017283497,0.00030169525,0.00011053272,0.00007726626,0.00009054069,0.00022975111,0.00006286843,0.00021886238],"category_scores_gemma":[0.00023013982,0.00015043597,0.000115555165,0.00020554269,0.000007754476,0.00041462173,0.000007213854,0.00025979115,0.000004264502],"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":[0.000043500342,0.000008399471,0.00009356342,0.000041558378,0.00008835178,0.000031373067,0.00008640355,0.9884494,0.00023490108,7.120684e-7,0.0010015985,0.0099202385],"study_design_scores_gemma":[0.00061135273,0.0001488129,0.0011436928,0.000102320664,0.000113755275,0.00008519614,0.000051009756,0.9959491,0.0008704028,0.000031858563,0.000723649,0.00016886069],"about_ca_topic_score_codex":0.00008295083,"about_ca_topic_score_gemma":0.0000075448256,"teacher_disagreement_score":0.08110512,"about_ca_system_score_codex":0.00001753515,"about_ca_system_score_gemma":0.00020197332,"threshold_uncertainty_score":0.61346006},"labels":[],"label_agreement":null},{"id":"W3143169819","doi":"10.1109/joe.2021.3055477","title":"Angular MIMO for Underwater Wireless Optical Communications: Link Modeling and Tracking","year":2021,"lang":"en","type":"article","venue":"IEEE Journal of Oceanic Engineering","topic":"Optical Wireless Communication Technologies","field":"Engineering","cited_by":30,"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":"MIMO; 3G MIMO; Multi-user MIMO; Transmitter; Computer science; Channel (broadcasting); Physics; Electronic engineering; Telecommunications; Engineering","score_opus":0.030921916844987983,"score_gpt":0.25294733041437895,"score_spread":0.22202541356939096,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3143169819","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":[0.2662906,0.012338286,0.7198638,0.0008376815,0.00027195262,0.000090467525,0.0000031796371,0.00023074997,0.00007332206],"genre_scores_gemma":[0.88334095,0.0043011988,0.11218184,0.00001620938,0.00009919207,0.000004766457,0.0000020810385,0.000049686707,0.00000408286],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989608,0.000014477364,0.0005429771,0.000100287376,0.0001416792,0.00023978275],"domain_scores_gemma":[0.99877477,0.0003169525,0.00005810446,0.0005304689,0.00023198804,0.00008773835],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029329726,0.00016238236,0.00031504658,0.00013977387,0.00006223279,0.00008678597,0.0004825238,0.00014768209,0.00000224507],"category_scores_gemma":[0.00017129519,0.00016668628,0.000107258646,0.000148799,0.00004084924,0.00027086306,0.00009432924,0.000526405,0.0000010321505],"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":[0.000013547495,0.00006771334,0.000052513642,0.00048057103,0.00037466703,0.000036303445,0.00029322397,0.7357175,0.20041001,0.012875003,0.00009409138,0.049584888],"study_design_scores_gemma":[0.0003733057,0.000028708475,0.0000325038,0.00025162907,0.000038706912,0.00015803291,0.00017444883,0.93328017,0.06435596,0.00049155124,0.00063170906,0.0001832689],"about_ca_topic_score_codex":2.0754325e-7,"about_ca_topic_score_gemma":6.610529e-7,"teacher_disagreement_score":0.61705035,"about_ca_system_score_codex":0.000084510495,"about_ca_system_score_gemma":0.000028251608,"threshold_uncertainty_score":0.67972696},"labels":[],"label_agreement":null},{"id":"W3156714283","doi":"10.1109/joe.2021.3062719","title":"Transdimensional Geoacoustic Inversion Using Prior Information on Range-Dependent Seabed Layering","year":2021,"lang":"en","type":"article","venue":"IEEE Journal of Oceanic Engineering","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","cited_by":14,"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 Victoria","funders":"Office of Naval Research","keywords":"Seabed; Geology; Layering; Acoustics; Inversion (geology); Range (aeronautics); Seismology; Engineering; Tectonics; Physics","score_opus":0.019239226033512514,"score_gpt":0.22466305926379582,"score_spread":0.2054238332302833,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3156714283","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":[0.85077745,0.00014296366,0.14788045,0.00006099793,0.0008919578,0.000059230955,0.000014008068,0.000017688077,0.0001552887],"genre_scores_gemma":[0.992709,0.00005994809,0.006937199,0.00006240784,0.00019559145,4.9754753e-8,0.000005554701,0.000006273662,0.000024010757],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99849474,0.00003481113,0.00037891424,0.00008983852,0.000724949,0.00027675563],"domain_scores_gemma":[0.9992781,0.0001515857,0.00010407219,0.00009779243,0.00019714147,0.00017126808],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044828502,0.00012342993,0.0001830578,0.00026240182,0.000084270316,0.00009267986,0.00014972009,0.00006535199,0.00025714387],"category_scores_gemma":[0.0000910258,0.00010934688,0.00008319239,0.00020136547,0.000011294117,0.00059022655,0.000008781755,0.00039891124,0.00003202209],"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":[0.00004792138,0.000010820499,0.0005303357,0.00006702908,0.000037567173,0.00017046573,0.00016475508,0.9670928,0.030312939,0.000001576487,0.000040479652,0.0015233071],"study_design_scores_gemma":[0.0006684165,0.00011067653,0.005462878,0.0001716641,0.000033885226,0.00044830306,0.000102359736,0.97888523,0.013830026,0.000012140945,0.00014265408,0.00013177122],"about_ca_topic_score_codex":0.0000146221755,"about_ca_topic_score_gemma":0.0000046432306,"teacher_disagreement_score":0.14193155,"about_ca_system_score_codex":0.000054635988,"about_ca_system_score_gemma":0.00018299221,"threshold_uncertainty_score":0.44590363},"labels":[],"label_agreement":null},{"id":"W3162061846","doi":"10.1109/joe.2021.3066178","title":"Passive Acoustic Glider for Seabed Characterization at the New England Mud Patch","year":2021,"lang":"en","type":"article","venue":"IEEE Journal of Oceanic Engineering","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","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":"University of Victoria","funders":"Office of Naval Research","keywords":"Glider; Underwater glider; Seabed; Geology; Acoustics; Hydrophone; Inversion (geology); Remote sensing; Seismology; Marine engineering; Oceanography; Engineering","score_opus":0.014937423155048393,"score_gpt":0.22648863706318828,"score_spread":0.21155121390813988,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3162061846","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":[0.5310748,0.00024321099,0.46674183,0.000724588,0.0010265196,0.00010935799,0.000044944165,0.00001114449,0.000023584855],"genre_scores_gemma":[0.99597657,0.00015917992,0.0017572858,0.00007099619,0.0010850774,3.1033235e-7,0.00003405134,0.000010050523,0.000906453],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99896145,0.000032881282,0.00028342585,0.00010879887,0.000336067,0.00027738785],"domain_scores_gemma":[0.99898946,0.00041576044,0.000112782254,0.0001173705,0.00020747994,0.00015711841],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003067917,0.000108618566,0.00016661704,0.00006572368,0.00009237405,0.00010313624,0.00018317737,0.000053701155,0.00037872943],"category_scores_gemma":[0.00021869507,0.000074382486,0.000082960134,0.00016168086,0.000012874302,0.00018373801,0.000011847876,0.00022482256,0.000014072065],"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":[0.000084386105,0.00001399897,0.0034976583,0.00009576132,0.00014738056,0.00017816143,0.0005327565,0.6708859,0.31134868,0.0000017415593,0.0015952848,0.011618266],"study_design_scores_gemma":[0.0018267151,0.00023302303,0.053438563,0.00011343357,0.000112615104,0.00083734794,0.000082020124,0.8792357,0.05456457,0.000106588566,0.00919359,0.0002558726],"about_ca_topic_score_codex":0.000011020541,"about_ca_topic_score_gemma":0.000058326765,"teacher_disagreement_score":0.46498454,"about_ca_system_score_codex":0.000028960018,"about_ca_system_score_gemma":0.00019097827,"threshold_uncertainty_score":0.41468215},"labels":[],"label_agreement":null},{"id":"W3163841237","doi":"10.1109/joe.2021.3067240","title":"Performance Analysis of Underwater Acoustic Communications in Barrow Strait","year":2021,"lang":"en","type":"article","venue":"IEEE Journal of Oceanic Engineering","topic":"Underwater Vehicles and Communication Systems","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":"Defence Research and Development Canada","funders":"","keywords":"Phase-shift keying; Transceiver; Multipath propagation; Transmitter; Bit error rate; Keying; Underwater acoustic communication; Underwater; Computer science; Hydrophone; Electronic engineering; Telecommunications; Acoustics; Engineering; Wireless; Decoding methods; Channel (broadcasting); Geology; Oceanography; Physics","score_opus":0.021450976765202984,"score_gpt":0.23349080344617937,"score_spread":0.21203982668097637,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3163841237","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":[0.9639126,0.0011952916,0.034384355,0.000044671753,0.00010886244,0.00003117364,0.0000055610776,0.000026103944,0.00029135254],"genre_scores_gemma":[0.9958563,0.00072425365,0.0033389942,0.0000067201017,0.000028913373,0.0000011525473,0.0000031615953,0.000020122194,0.000020422676],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998898,0.000031101976,0.00069037115,0.000058187732,0.00017036356,0.00015196037],"domain_scores_gemma":[0.9991445,0.00009018847,0.000107201624,0.00046282762,0.00013853006,0.000056746412],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029201727,0.00010754435,0.00036640684,0.0004119537,0.000018400979,0.000020949446,0.0004399872,0.000056698995,0.00002289079],"category_scores_gemma":[0.000006196014,0.00010755124,0.00014864649,0.00081044005,0.000015173983,0.00013200866,0.000036787806,0.00028732588,0.0000013007376],"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":[0.0000018196267,0.00002611493,0.002483617,0.00008688098,0.00042623517,0.000006252259,0.0003654266,0.8620497,0.13407792,0.000015976042,0.000010717952,0.00044933904],"study_design_scores_gemma":[0.0003319268,0.000024059147,0.021503711,0.00025299157,0.0002877156,0.000057971585,0.00026952423,0.9390222,0.037641205,0.000006466915,0.0004507363,0.00015153507],"about_ca_topic_score_codex":0.0000022427284,"about_ca_topic_score_gemma":0.000018918945,"teacher_disagreement_score":0.09643671,"about_ca_system_score_codex":0.00009147988,"about_ca_system_score_gemma":0.000032325755,"threshold_uncertainty_score":0.43858126},"labels":[],"label_agreement":null},{"id":"W3164200108","doi":"10.1109/joe.2021.3069046","title":"Parameter Optimization for an Underwater Optical Wireless Vertical Link Subject to Link Misalignments","year":2021,"lang":"en","type":"article","venue":"IEEE Journal of Oceanic Engineering","topic":"Optical Wireless Communication Technologies","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":"McMaster University","funders":"","keywords":"Transmitter; Optical link; Monte Carlo method; Link (geometry); Computer science; Attenuation; Link budget; Wireless; Bit error rate; Optical wireless; Sensitivity (control systems); Underwater; Electronic engineering; Channel (broadcasting); Physics; Optics; Telecommunications; Engineering; Mathematics; Optical fiber; Computer network; Statistics","score_opus":0.023125957399119934,"score_gpt":0.255897183364982,"score_spread":0.23277122596586208,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3164200108","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":[0.29372948,0.00020833366,0.7045836,0.00058129494,0.0005297647,0.00011316775,0.0000029291639,0.00020822,0.000043241573],"genre_scores_gemma":[0.8168898,0.00015377499,0.18258512,0.000052670588,0.00023037876,0.000008288485,0.0000043736372,0.000068502115,0.0000070694173],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99858195,0.000021147447,0.00061497896,0.0001605161,0.00025438855,0.00036701286],"domain_scores_gemma":[0.9987534,0.00033427664,0.000037175207,0.00041460394,0.00023192009,0.00022860437],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002474605,0.00021399569,0.00036280637,0.00017489622,0.000037604554,0.00010155595,0.00042277796,0.0002066706,0.000015177798],"category_scores_gemma":[0.00035479784,0.00021221646,0.00013686273,0.00024976715,0.000022916653,0.0002935456,0.000054358905,0.0004207434,0.0000066247035],"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":[0.000022639444,0.00004559596,0.000023944383,0.00007954427,0.00012038873,0.0000196873,0.000072792485,0.92479163,0.06627295,0.0006232045,0.00012228741,0.007805303],"study_design_scores_gemma":[0.0004389488,0.00018708396,0.00009529549,0.0001244871,0.000038462018,0.000069213944,0.000041076597,0.693901,0.304339,0.00009097357,0.00044605942,0.0002284281],"about_ca_topic_score_codex":1.7348945e-7,"about_ca_topic_score_gemma":4.3294617e-7,"teacher_disagreement_score":0.52316034,"about_ca_system_score_codex":0.00018106864,"about_ca_system_score_gemma":0.00003844959,"threshold_uncertainty_score":0.8653936},"labels":[],"label_agreement":null},{"id":"W3170883638","doi":"10.1109/joe.2021.3075824","title":"Transdimensional Inversion on the New England Mud Patch Using High-Order Modes","year":2021,"lang":"en","type":"article","venue":"IEEE Journal of Oceanic Engineering","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","cited_by":14,"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 Victoria","funders":"Office of Naval Research","keywords":"Seabed; Inversion (geology); Image warping; Geology; Acoustics; Seismology; Computer science; Oceanography; Physics","score_opus":0.02573269851336344,"score_gpt":0.22272002610091363,"score_spread":0.1969873275875502,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3170883638","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":[0.91720355,0.000265114,0.08135113,0.0005445045,0.0005164171,0.00003539721,0.00000712769,0.00000792247,0.00006882735],"genre_scores_gemma":[0.98946846,0.0000957059,0.009813832,0.00009509123,0.00045280793,1.8828947e-8,0.0000024744731,0.000006742103,0.00006489763],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988708,0.00005054422,0.00022496718,0.00010139454,0.00051699154,0.00023531963],"domain_scores_gemma":[0.99922055,0.00033742236,0.00005369393,0.00010506704,0.00012789098,0.00015537058],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036958652,0.00010785946,0.00014769402,0.000100282494,0.00008110807,0.00006496258,0.00017791285,0.000050639188,0.00052274036],"category_scores_gemma":[0.00007613401,0.000070633025,0.000064255866,0.00022459975,0.00001470172,0.00015402354,0.000006944113,0.00040511042,0.000012589123],"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":[0.000024981275,0.000009597116,0.00053090893,0.000012785677,0.000044118853,0.00016782616,0.00013987285,0.95676553,0.040907178,0.000011851113,0.00032455442,0.0010607786],"study_design_scores_gemma":[0.00061759364,0.00011100018,0.0020233733,0.000112444286,0.000026355907,0.0002593965,0.00006956483,0.9648793,0.03101991,0.00020795401,0.00055914087,0.00011402158],"about_ca_topic_score_codex":0.00008307848,"about_ca_topic_score_gemma":0.000023128017,"teacher_disagreement_score":0.07226487,"about_ca_system_score_codex":0.00001829478,"about_ca_system_score_gemma":0.00022353418,"threshold_uncertainty_score":0.57236403},"labels":[],"label_agreement":null},{"id":"W3211776416","doi":"10.1109/joe.2021.3113506","title":"Probabilistic Estimation of Merchant Ship Source Levels in an Uncertain Shallow-Water Environment","year":2021,"lang":"en","type":"article","venue":"IEEE Journal of Oceanic Engineering","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","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 Victoria","funders":"Office of Naval Research","keywords":"Seabed; Waves and shallow water; Geology; Narrowband; Broadband; Noise (video); Acoustics; Range (aeronautics); Sonar; Probabilistic logic; Computer science; Oceanography; Statistics; Engineering; Telecommunications; Mathematics","score_opus":0.03911342759050387,"score_gpt":0.24895548704322315,"score_spread":0.20984205945271928,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3211776416","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":[0.87144977,0.00012516006,0.12817079,0.000050465445,0.000114673465,0.000056840534,0.0000066978496,0.0000046910836,0.00002092437],"genre_scores_gemma":[0.9908056,0.000023538425,0.009050916,0.000007539903,0.00006838223,1.860609e-7,0.000006869314,0.0000065555973,0.000030369767],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998695,0.000067460656,0.00042790786,0.00011777484,0.0004268346,0.0002650235],"domain_scores_gemma":[0.9995155,0.00012048312,0.000069406575,0.00012077112,0.000053004445,0.00012088899],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007511344,0.00010126753,0.00020511767,0.00016798676,0.000019727024,0.000033308963,0.00018274543,0.000049647137,0.00035638906],"category_scores_gemma":[0.000080038066,0.000077748795,0.00004762916,0.00010243089,0.000022493437,0.00022963897,0.000010966798,0.00025864228,0.000009579253],"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":[0.000012076047,0.00002805475,0.0035778754,0.00008256643,0.000015317146,0.00010879666,0.00048175326,0.9683859,0.025210086,0.0000017697698,0.0000017520814,0.002094074],"study_design_scores_gemma":[0.00026454346,0.00015346623,0.029391466,0.000095851545,0.000013582495,0.000116719406,0.000075436845,0.94797164,0.021622887,0.00017584847,0.000021733305,0.00009681555],"about_ca_topic_score_codex":0.000028170101,"about_ca_topic_score_gemma":0.000050044786,"teacher_disagreement_score":0.119355895,"about_ca_system_score_codex":0.00003972837,"about_ca_system_score_gemma":0.00007982655,"threshold_uncertainty_score":0.39022103},"labels":[],"label_agreement":null},{"id":"W4232658957","doi":"10.1109/joe.2017.2662958","title":"Corrections to “A Bayesian Method for Localization by Multistatic Active Sonar” [IEEE J. Ocean. Eng., vol. 42, no. 1, pp. 135–142, Jan. 2017, DOI: 10.1109/JOE.2016.2540744]","year":2017,"lang":"en","type":"article","venue":"IEEE Journal of Oceanic Engineering","topic":"Underwater Vehicles and 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":"Defence Research and Development Canada","funders":"","keywords":"Sonar; Marine mammals and sonar; Computer science; Bayesian probability; Remote sensing; Artificial intelligence; Marine engineering; Engineering; Geology","score_opus":0.015860610329037964,"score_gpt":0.2686938870867465,"score_spread":0.25283327675770856,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4232658957","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":[0.0061687753,0.0006649044,0.9894397,0.00012584482,0.0025400273,0.00045730395,0.000079674326,0.00015485179,0.0003688767],"genre_scores_gemma":[0.9041876,0.0004302485,0.09095036,0.00007173779,0.0014774838,0.000040524854,0.000018294571,0.00023506298,0.0025886428],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99790794,0.00006408441,0.0009382701,0.00025633784,0.00032666154,0.00050672423],"domain_scores_gemma":[0.99737,0.00036353007,0.00046021657,0.0006917503,0.00075783336,0.00035665743],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006544879,0.00040484266,0.00059759774,0.00022915707,0.0003912251,0.00027737534,0.0009031334,0.00019545313,0.000048818132],"category_scores_gemma":[0.00019165082,0.0004074474,0.00026750116,0.00015337404,0.000026217484,0.0005744688,0.00004882529,0.00047829066,0.000059749542],"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":[0.00016971037,0.00017256958,0.000115471725,0.0005410283,0.0008776781,0.000020535135,0.0019344469,0.6712592,0.100557916,0.000041506326,0.20750716,0.016802782],"study_design_scores_gemma":[0.0013827449,0.0002185315,0.00012780339,0.0005184692,0.00012191203,0.000086230815,0.00024151635,0.75290906,0.040690772,0.000036567948,0.20311236,0.0005540446],"about_ca_topic_score_codex":0.000044161963,"about_ca_topic_score_gemma":0.000013189126,"teacher_disagreement_score":0.89848936,"about_ca_system_score_codex":0.00037365386,"about_ca_system_score_gemma":0.00007081862,"threshold_uncertainty_score":0.99983776},"labels":[],"label_agreement":null},{"id":"W4237248152","doi":"10.1109/joe.2013.2251985","title":"Erratum to “Challenges, Benefits, and Opportunities in Installing and Operating Cabled Ocean Observatories: Perspectives from NEPTUNE Canada” [C. R. Barnes, M. M. R. Best , F. R. Johnson, L. Pautet, and B. Pirenne, IEEE J. Ocean. Eng., Vol. 38, No. 1, pp. 144–157, Jan. 2013]","year":2013,"lang":"en","type":"erratum","venue":"IEEE Journal of Oceanic Engineering","topic":"Environmental Monitoring and Data Management","field":"Earth and Planetary Sciences","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":"Neptune; Installation; Engineering; Oceanography; Remote sensing; Aeronautics; Telecommunications; Geology; Physics; Mechanical engineering; Astronomy; Planet","score_opus":0.02517233477296107,"score_gpt":0.18986245403116048,"score_spread":0.1646901192581994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4237248152","genre_codex":"empirical","genre_gemma":"review","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":[0.59297436,0.38298294,0.00003343979,0.00093797664,0.020901928,0.0005264367,0.0007746087,0.000048851496,0.00081944116],"genre_scores_gemma":[0.39137053,0.59525627,0.0024554254,0.0002214528,0.0053512724,0.0000030868687,0.0002600179,0.0001257453,0.004956215],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99683625,0.00008505304,0.0009777094,0.00070575153,0.0006932223,0.00070199807],"domain_scores_gemma":[0.9981298,0.0002495079,0.0004052442,0.00035103844,0.00017408025,0.0006903542],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005818268,0.0007584673,0.0010079236,0.00025432577,0.00023314741,0.00040510917,0.0004651687,0.00032336847,0.00006508136],"category_scores_gemma":[0.00017315567,0.00072235195,0.00006342114,0.00014718893,0.00007909018,0.001087901,0.00010951061,0.0013843697,0.0000032925307],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001116045,0.000121312085,0.016652906,0.0018080598,0.00089073146,0.0010407079,0.005416383,0.09051624,0.00009663115,0.000038477338,0.87563556,0.0076713655],"study_design_scores_gemma":[0.0030612494,0.0018132607,0.14044133,0.008274382,0.00083437416,0.0003485936,0.025549233,0.03919637,0.00009307264,0.000056395096,0.7760254,0.0043063187],"about_ca_topic_score_codex":0.099196896,"about_ca_topic_score_gemma":0.043685243,"teacher_disagreement_score":0.21227331,"about_ca_system_score_codex":0.00015693573,"about_ca_system_score_gemma":0.00026295704,"threshold_uncertainty_score":0.99952275},"labels":[],"label_agreement":null},{"id":"W4241191772","doi":"10.1109/joe.2017.2701961","title":"High-Frequency Radar Ocean Surface Cross Section Incorporating a Dual-Frequency Platform Motion Model","year":2017,"lang":"en","type":"article","venue":"IEEE Journal of Oceanic Engineering","topic":"Ocean Waves and Remote Sensing","field":"Earth and Planetary Sciences","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":"Memorial University of Newfoundland","funders":"","keywords":"Radar; Radar cross-section; Amplitude; Acoustics; Physics; Frequency modulation; Antenna (radio); Geology; Doppler effect; Optics; Telecommunications; Computer science; Radio frequency","score_opus":0.016967040875617068,"score_gpt":0.2224327410367233,"score_spread":0.20546570016110624,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4241191772","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":[0.98774284,0.0002542874,0.007871118,0.000097257034,0.0034310792,0.00008057544,0.000017730836,0.000044834112,0.000460263],"genre_scores_gemma":[0.96750194,0.00009297645,0.031092003,0.000015865073,0.0012211185,1.1014887e-9,0.000006438987,0.000018589972,0.000051049403],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99827904,0.000018153234,0.0006728903,0.00020432314,0.0004450209,0.00038057193],"domain_scores_gemma":[0.99839956,0.00005668458,0.00083835016,0.00031669802,0.00017819142,0.0002104972],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007844517,0.00024851807,0.0003467093,0.000113467955,0.0005124757,0.00037974177,0.0003361633,0.00015273121,0.000023032659],"category_scores_gemma":[0.00014986667,0.00021213578,0.00016332084,0.00010501246,0.00006049905,0.0017067112,0.000014506828,0.000589931,0.000007646452],"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":[0.000018148143,0.000011086348,0.013188107,0.000054735992,0.000048343765,0.00015174973,0.00012629713,0.9751958,0.009792383,0.000087512984,0.000042829917,0.0012830051],"study_design_scores_gemma":[0.00068602775,0.00016014092,0.05511203,0.00025223484,0.00004179425,0.00084240583,0.000046117984,0.937358,0.003431658,0.0017213258,0.0000074686764,0.00034078548],"about_ca_topic_score_codex":0.00027720185,"about_ca_topic_score_gemma":0.00003678505,"teacher_disagreement_score":0.041923925,"about_ca_system_score_codex":0.000049940554,"about_ca_system_score_gemma":0.00009995286,"threshold_uncertainty_score":0.8650646},"labels":[],"label_agreement":null},{"id":"W4255303713","doi":"10.1109/joe.2003.816737","title":"Benchmarking geoacoustic inversion methods for range-dependent waveguides","year":2003,"lang":"en","type":"article","venue":"IEEE Journal of Oceanic Engineering","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","cited_by":90,"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 Victoria","funders":"","keywords":"Inversion (geology); Geology; Transmission loss; Acoustics; Computer science; Seismology; Telecommunications","score_opus":0.027964718492104336,"score_gpt":0.290914016268511,"score_spread":0.26294929777640663,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4255303713","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":[0.03577783,0.00073996664,0.9614904,0.00002663197,0.0014861793,0.0001226084,0.0000063002976,0.000015493188,0.000334617],"genre_scores_gemma":[0.74548966,0.000108821245,0.2540374,0.000021394213,0.0002721906,2.3074685e-7,0.0000013696861,0.000009222453,0.000059729446],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986571,0.000085135434,0.00040183568,0.00013103582,0.00034171916,0.0003831722],"domain_scores_gemma":[0.9986846,0.000718238,0.00012839769,0.00011075301,0.00016213754,0.00019586257],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022274447,0.0001382259,0.00023838216,0.00027798786,0.000086002015,0.00007418666,0.00024123037,0.00007050535,0.00024756312],"category_scores_gemma":[0.0004480036,0.000114855844,0.00012231634,0.00016200924,0.000017831675,0.00022283809,0.0000059649556,0.00028984205,0.0000070262627],"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":[0.00003491326,0.000013248927,0.0017916776,0.00012759458,0.00008511449,0.000044814613,0.00012469444,0.9672694,0.015652232,0.00001544623,0.00039388076,0.014446972],"study_design_scores_gemma":[0.0006479272,0.00027412694,0.0012437599,0.00008712884,0.00006348021,0.00027386405,0.00007195441,0.98268574,0.011952503,0.0003133564,0.002202636,0.00018353421],"about_ca_topic_score_codex":0.0000115095445,"about_ca_topic_score_gemma":0.0000044830254,"teacher_disagreement_score":0.7097118,"about_ca_system_score_codex":0.00003573032,"about_ca_system_score_gemma":0.000096423,"threshold_uncertainty_score":0.46836856},"labels":[],"label_agreement":null},{"id":"W4285173995","doi":"10.1109/joe.2022.3156631","title":"Collaboration of Heterogeneous Marine Robots Toward Multidomain Sensing and Situational Awareness on Partially Submerged Targets","year":2022,"lang":"en","type":"article","venue":"IEEE Journal of Oceanic Engineering","topic":"Underwater Vehicles and Communication Systems","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Remotely operated underwater vehicle; Situation awareness; Robot; Computer science; Real-time computing; Bathymetry; Unmanned surface vehicle; Underwater; Mobile robot; Marine engineering; Motion planning; Node (physics); Trajectory; Simultaneous localization and mapping; Artificial intelligence; Engineering; Computer vision; Aerospace engineering","score_opus":0.015455969499969784,"score_gpt":0.21948221336584256,"score_spread":0.2040262438658728,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285173995","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":[0.93293035,0.00043665653,0.06596681,0.00007775226,0.00043402135,0.00008995205,0.000008627884,0.000038805665,0.000017026],"genre_scores_gemma":[0.99662936,0.00006701919,0.0031354078,0.000011481379,0.00011308645,0.0000021479011,0.0000043798855,0.00003129228,0.0000058427354],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988791,0.000055427747,0.0005280621,0.000079164645,0.00031615992,0.00014209218],"domain_scores_gemma":[0.9994587,0.00006117547,0.00016445255,0.00012872179,0.000118453965,0.000068516456],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037045917,0.00012897071,0.00025125218,0.0001683625,0.00007068566,0.000025992375,0.00013949827,0.000033522912,0.000014040141],"category_scores_gemma":[0.000009832575,0.00013738679,0.00006007204,0.00017952052,0.000008829479,0.00008628966,0.000045522527,0.00021275802,4.6150308e-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":[0.000023377315,0.000018176817,0.00020962562,0.00004912611,0.00007562548,0.000016483309,0.00044359587,0.84019876,0.15796539,0.000016536123,0.000024334058,0.0009589759],"study_design_scores_gemma":[0.0009744429,0.00021049955,0.002142789,0.000080648715,0.00003637527,0.0004093549,0.0002759459,0.861921,0.1327179,0.000045984576,0.0009364519,0.00024857398],"about_ca_topic_score_codex":0.000006281596,"about_ca_topic_score_gemma":0.000005714513,"teacher_disagreement_score":0.06369899,"about_ca_system_score_codex":0.00013283192,"about_ca_system_score_gemma":0.000039082162,"threshold_uncertainty_score":0.56024706},"labels":[],"label_agreement":null},{"id":"W4285819506","doi":"10.1109/joe.2022.3178816","title":"The Effect of Directional Ambient Noise on an Underwater Acoustic Link in Shallow Environments","year":2022,"lang":"en","type":"article","venue":"IEEE Journal of Oceanic Engineering","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Ambient noise level; Acoustics; Underwater acoustic communication; Noise (video); Waves and shallow water; Noise floor; Computer science; Underwater acoustics; Underwater; Noise measurement; Physics; Geology; Noise reduction; Artificial intelligence","score_opus":0.009392260799686438,"score_gpt":0.2194312902481958,"score_spread":0.21003902944850936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285819506","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":[0.9929043,0.00013098713,0.0060227048,0.000066132925,0.0006945428,0.000101925354,0.000012525312,0.0000049320756,0.00006191858],"genre_scores_gemma":[0.9995724,0.000048424103,0.00015383815,0.00001119367,0.00013204993,7.7415353e-7,0.00000312017,0.000007146399,0.00007104321],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984962,0.00014650829,0.00031192115,0.0001022969,0.00069246435,0.0002506386],"domain_scores_gemma":[0.9992429,0.00044577845,0.00009148751,0.00011388203,0.000010734601,0.00009521143],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001259143,0.00010310517,0.00015882199,0.00019469138,0.000109091125,0.000028509117,0.00031813642,0.000025174983,0.00018491407],"category_scores_gemma":[0.000039044284,0.00006919385,0.00006509153,0.00013968752,0.000024948431,0.00010599252,0.000017657087,0.00051565823,0.00000590158],"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":[0.00013617473,0.000019363208,0.01510468,0.000014330677,0.000028295817,0.000055230263,0.000065692686,0.96460205,0.018500635,3.6268526e-7,0.000020078493,0.0014530759],"study_design_scores_gemma":[0.0009045489,0.0029857506,0.10743519,0.000042961827,0.000025019672,0.00015059485,0.00005138005,0.87379277,0.013699763,0.000033438486,0.000734125,0.00014443038],"about_ca_topic_score_codex":0.0000263344,"about_ca_topic_score_gemma":0.000025946865,"teacher_disagreement_score":0.09233051,"about_ca_system_score_codex":0.00006784171,"about_ca_system_score_gemma":0.000029848932,"threshold_uncertainty_score":0.28216434},"labels":[],"label_agreement":null},{"id":"W4361985548","doi":"10.1109/joe.2023.3235055","title":"Adaptive Grid Refinement Method for DOA Estimation via Sparse Bayesian Learning","year":2023,"lang":"en","type":"article","venue":"IEEE Journal of Oceanic Engineering","topic":"Speech and Audio Processing","field":"Computer Science","cited_by":40,"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":"Basic and Applied Basic Research Foundation of Guangdong Province; National Natural Science Foundation of China; Ministry of Natural Resources","keywords":"Grid; Computer science; Computation; Algorithm; Process (computing); Bayesian probability; Hyperparameter optimization; Sparse grid; Direction of arrival; Artificial intelligence; Mathematics; Support vector machine","score_opus":0.01973043236358598,"score_gpt":0.2747051332451021,"score_spread":0.25497470088151614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4361985548","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":[0.0031273793,0.00010786398,0.99516165,0.00033737137,0.0010402673,0.000067231274,4.9979076e-7,0.00012590286,0.000031809355],"genre_scores_gemma":[0.20053643,0.000017796832,0.798957,0.000031972104,0.00039485143,0.0000025100787,6.5725794e-7,0.000017131904,0.000041684656],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989167,0.000022312333,0.00037321908,0.00014626399,0.00026929655,0.00027221596],"domain_scores_gemma":[0.9992084,0.0001854553,0.00026012503,0.000113408,0.00013270664,0.0000999042],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010215951,0.00012577418,0.00020528944,0.00028709703,0.00008751942,0.000093321534,0.0003461092,0.000041444317,0.0000026022594],"category_scores_gemma":[0.0001720381,0.00011693135,0.00010782926,0.00046056195,0.0000041964404,0.00051333866,0.00003760519,0.00024708605,0.0000060524003],"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":[0.000010413598,0.000010970851,0.000014337049,0.000053189033,0.000046068413,0.000039283525,0.00030160343,0.87779105,0.028897332,0.00017322753,0.0006684783,0.091994055],"study_design_scores_gemma":[0.00033686738,0.00017476277,0.00015730751,0.0001546096,0.00001571982,0.0001185766,0.000024609153,0.9309312,0.06682828,0.00042903065,0.00070563954,0.0001233904],"about_ca_topic_score_codex":7.10925e-7,"about_ca_topic_score_gemma":1.7974556e-7,"teacher_disagreement_score":0.19740905,"about_ca_system_score_codex":0.000082330895,"about_ca_system_score_gemma":0.00006026619,"threshold_uncertainty_score":0.47683218},"labels":[],"label_agreement":null},{"id":"W4377001482","doi":"10.1109/joe.2023.3252759","title":"U-MSAA-Net: A Multiscale Additive Attention-Based Network for Pixel-Level Identification of Finfish and Krill in Echograms","year":2023,"lang":"en","type":"article","venue":"IEEE Journal of Oceanic Engineering","topic":"Water Quality Monitoring Technologies","field":"Environmental Science","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":"Fisheries and Oceans Canada; ASL Environmental Sciences (Canada); University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Krill; Fishery; Computer science; Artificial intelligence; Environmental science; Pattern recognition (psychology); Biology","score_opus":0.026822179177445667,"score_gpt":0.25380226236443065,"score_spread":0.22698008318698498,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4377001482","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":[0.9629719,0.000030368126,0.036259744,0.000117302014,0.00040933682,0.00013849683,0.000022920824,0.00004715284,0.0000027221347],"genre_scores_gemma":[0.9893904,0.000032369648,0.010430217,0.000003923978,0.00008703757,0.000007168517,0.0000032258881,0.000014638042,0.00003105994],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99902135,0.000015919702,0.00046048054,0.00011717678,0.00018610578,0.00019895057],"domain_scores_gemma":[0.9993876,0.00020991523,0.00022588136,0.000118934724,0.00002157014,0.000036100257],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007036843,0.00009250458,0.00017546094,0.000122050915,0.0000279094,0.000017522752,0.00018140717,0.000068682864,0.0000040157806],"category_scores_gemma":[0.00020548658,0.000091495844,0.0000644523,0.00034489343,0.00004607784,0.0001604519,0.000038484548,0.0001382215,0.0000033938675],"study_design_candidate":"observational","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":[0.000052992782,0.00009032312,0.09903634,0.00015911325,0.00006114049,0.000016286987,0.00044017486,0.6534008,0.23278964,0.000037393165,0.0027140798,0.011201747],"study_design_scores_gemma":[0.0010690114,0.00017860111,0.787181,0.0003944722,0.00003097618,0.00001225471,0.0001797715,0.1542342,0.054991566,0.000511248,0.0009787445,0.00023815424],"about_ca_topic_score_codex":0.000013328935,"about_ca_topic_score_gemma":0.000006832748,"teacher_disagreement_score":0.6881447,"about_ca_system_score_codex":0.00009598211,"about_ca_system_score_gemma":0.0000063826237,"threshold_uncertainty_score":0.37310922},"labels":[],"label_agreement":null},{"id":"W4382119138","doi":"10.1109/joe.2023.3271369","title":"Demonstration of Underwater Channel State Information Acquisition in Grand Passage, Nova Scotia","year":2023,"lang":"en","type":"article","venue":"IEEE Journal of Oceanic Engineering","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Channel (broadcasting); Parametric statistics; Channel state information; Probabilistic logic; Nova scotia; Impulse response; Computer science; Geology; Telecommunications; Statistics; Mathematics; Artificial intelligence; Wireless; Oceanography","score_opus":0.018019043561083137,"score_gpt":0.2333011876327232,"score_spread":0.21528214407164006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382119138","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":[0.874768,0.00003145494,0.12444114,0.000060957995,0.00039925112,0.000079330144,0.000017723149,0.000014775635,0.00018733482],"genre_scores_gemma":[0.999269,0.00007271804,0.00055882166,0.000009410109,0.000056095585,5.5293704e-8,0.00001781619,0.0000032282396,0.000012875282],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99892044,0.000022462424,0.0004466986,0.000048046946,0.00035369728,0.00020867691],"domain_scores_gemma":[0.99957556,0.000079622376,0.00012586638,0.00005483358,0.00010137398,0.00006277678],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070661,0.00007649437,0.00013953909,0.0005996293,0.000013140903,0.000045229448,0.000116636984,0.000041889693,0.00005849244],"category_scores_gemma":[0.000022022243,0.00006548464,0.00003849883,0.0004275492,0.000014576822,0.00083666225,0.0000050310955,0.00018514408,0.000042748125],"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":[0.000030325826,0.0000052338337,0.007838483,0.00008283091,0.000016819866,0.000021039266,0.00039176128,0.9866756,0.0034348369,0.0000010745464,0.00015624636,0.0013456992],"study_design_scores_gemma":[0.00064172683,0.0001645074,0.114023425,0.00015252209,0.000009378834,0.00005878033,0.00011824724,0.8740127,0.01041404,0.0002708177,0.000025196732,0.00010865948],"about_ca_topic_score_codex":0.00008372334,"about_ca_topic_score_gemma":0.00012172336,"teacher_disagreement_score":0.124500945,"about_ca_system_score_codex":0.000016142378,"about_ca_system_score_gemma":0.000047245674,"threshold_uncertainty_score":0.26703858},"labels":[],"label_agreement":null},{"id":"W4383503686","doi":"10.1109/joe.2023.3272393","title":"Classification of Herring, Salmon, and Bubbles in Multifrequency Echograms Using U-Net Neural Networks","year":2023,"lang":"en","type":"article","venue":"IEEE Journal of Oceanic Engineering","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Fisheries and Oceans Canada; ASL Environmental Sciences (Canada); University of Victoria","funders":"Western Canada Research Grid; Compute Canada","keywords":"Herring; Artificial neural network; Computer science; Context (archaeology); Convolutional neural network; Noise (video); Underwater; Artificial intelligence; Cartography; Geography; Geology; Oceanography; Fish <Actinopterygii>; Fishery; Biology; Archaeology; Image (mathematics)","score_opus":0.03920318880741237,"score_gpt":0.2650535003897765,"score_spread":0.22585031158236413,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4383503686","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":[0.97613233,0.0004032441,0.023068585,0.000018539646,0.00028902586,0.000054239194,0.0000031824586,0.000014020935,0.000016804426],"genre_scores_gemma":[0.99737495,0.00021795079,0.0022731016,0.0000026501668,0.000117554155,7.373389e-8,0.000002635861,0.0000065676136,0.0000045083866],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99901557,0.000030238694,0.00037599713,0.00009103473,0.00023959113,0.0002475759],"domain_scores_gemma":[0.9995196,0.00013902699,0.00011707492,0.00007443944,0.000058419577,0.00009142581],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005887904,0.00008674273,0.00017068225,0.00034259993,0.000024214145,0.00003641606,0.0001527306,0.000056984667,0.000014510474],"category_scores_gemma":[0.000058743673,0.00007662298,0.00003449283,0.00042541453,0.000028671939,0.000216629,0.000008085747,0.00028384815,0.000001045055],"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":[0.000008432671,0.000004442609,0.13060153,0.00003730901,0.000010647181,0.000037400132,0.0000951356,0.8566635,0.010069548,9.297727e-7,0.000008855743,0.002462266],"study_design_scores_gemma":[0.00015735258,0.000045544846,0.22964898,0.00006714848,0.0000059419253,0.00005596304,0.00006332607,0.76966715,0.00021083027,0.000016811136,0.0000060234333,0.00005492314],"about_ca_topic_score_codex":0.00013532606,"about_ca_topic_score_gemma":0.000059121292,"teacher_disagreement_score":0.099047445,"about_ca_system_score_codex":0.000014308857,"about_ca_system_score_gemma":0.000026794565,"threshold_uncertainty_score":0.31245944},"labels":[],"label_agreement":null},{"id":"W4384111675","doi":"10.1109/joe.2023.3286854","title":"Combining DVL-INS and Laser-Based Loop Closures in a Batch Estimation Framework for Underwater Positioning","year":2023,"lang":"en","type":"article","venue":"IEEE Journal of Oceanic Engineering","topic":"Underwater Vehicles and 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":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Inertial navigation system; Heading (navigation); Computer science; Position (finance); Inertial measurement unit; Noise (video); GPS/INS; Sensor fusion; Kalman filter; Real-time computing; Algorithm; Control theory (sociology); Artificial intelligence; Engineering; Inertial frame of reference; Physics","score_opus":0.01912802108868061,"score_gpt":0.25174489353768426,"score_spread":0.23261687244900364,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384111675","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":[0.58570886,0.0001608203,0.41365895,0.00012255087,0.00016469363,0.00007856069,0.0000022392646,0.000094498355,0.000008833806],"genre_scores_gemma":[0.9735753,0.000046991125,0.026207304,0.000020213332,0.00008887165,0.000007989138,0.0000037357952,0.000043683016,0.000005934639],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990823,0.000019386123,0.00046193818,0.00007847564,0.00014077351,0.000217111],"domain_scores_gemma":[0.999381,0.00030190486,0.00007787939,0.00012190118,0.000051776136,0.0000655158],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044650832,0.00013165343,0.00022927654,0.00031687328,0.000046889672,0.000078342244,0.00014213785,0.00009026388,0.0000021536453],"category_scores_gemma":[0.000018987872,0.00013286837,0.00006452576,0.0002683561,0.000008565761,0.00014770289,0.000013000066,0.00027040154,0.0000022789015],"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":[0.000013172853,0.000011101035,0.0005696634,0.00020385614,0.00004385929,0.000009589765,0.00048687455,0.98331344,0.014261775,0.00017985655,0.00004747535,0.0008593418],"study_design_scores_gemma":[0.00074856327,0.00008408356,0.0016119397,0.0008278886,0.00001897267,0.000035977482,0.00015456426,0.9740542,0.021290243,0.00085314526,0.00015287059,0.00016754355],"about_ca_topic_score_codex":0.0000020714187,"about_ca_topic_score_gemma":0.000001686289,"teacher_disagreement_score":0.38786644,"about_ca_system_score_codex":0.00008198327,"about_ca_system_score_gemma":0.000017043854,"threshold_uncertainty_score":0.5418215},"labels":[],"label_agreement":null},{"id":"W4387587545","doi":"10.1109/joe.2023.3269749","title":"HF Radar Real-Time Alert to a Tsunami-Like Disturbance at Tofino on January 5, 2020: Surge or Tsunami?","year":2023,"lang":"en","type":"article","venue":"IEEE Journal of Oceanic Engineering","topic":"Ocean Waves and Remote Sensing","field":"Earth and Planetary Sciences","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":"Ocean Networks Canada Society; University of Victoria","funders":"Canada Foundation for Innovation","keywords":"Buoy; Radar; Storm surge; Meteorology; Geology; Surge; Storm; Wind wave; Environmental science; Climatology; Oceanography; Geography; Engineering","score_opus":0.009844770952131687,"score_gpt":0.206124301229821,"score_spread":0.19627953027768932,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387587545","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":[0.99501127,0.00023541738,0.000120628974,0.0004222476,0.0026402655,0.00013492843,0.000039513463,0.00009970587,0.001296034],"genre_scores_gemma":[0.98877215,0.0010088248,0.0022614358,0.00023115019,0.0013674649,1.9341998e-8,0.000023171366,0.000036707446,0.006299077],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980052,0.000044640958,0.0005634886,0.00026167286,0.000543421,0.00058157934],"domain_scores_gemma":[0.99872816,0.0003929792,0.00018685863,0.00024037188,0.00005909371,0.0003925151],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006278724,0.00027828818,0.0004549177,0.00027672344,0.0001347341,0.000065451604,0.00029764647,0.00009560119,0.0002570413],"category_scores_gemma":[0.00010464253,0.00020350302,0.00020399119,0.0006735731,0.0000220203,0.00019846011,0.000023192946,0.00033118797,0.0004950331],"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":[0.0010515834,0.00006640287,0.0058715115,0.00026496194,0.00034973622,0.006865563,0.0011229494,0.77022934,0.016278412,0.000011288436,0.17609079,0.021797441],"study_design_scores_gemma":[0.0017299899,0.0017877842,0.38512722,0.0017502444,0.00012865697,0.0026217524,0.00024021626,0.54596525,0.002870844,0.000043036798,0.0561948,0.0015402208],"about_ca_topic_score_codex":0.000043159824,"about_ca_topic_score_gemma":0.000024734529,"teacher_disagreement_score":0.3792557,"about_ca_system_score_codex":0.000052406638,"about_ca_system_score_gemma":0.00006728218,"threshold_uncertainty_score":0.8298612},"labels":[],"label_agreement":null},{"id":"W4392775727","doi":"10.1109/joe.2024.3356569","title":"Characterization of the Terra Nova Bay Polynya Using Dual-Polarimetric C-Band SAR Measurements","year":2024,"lang":"en","type":"article","venue":"IEEE Journal of Oceanic Engineering","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":9,"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":"Ministero dell’Istruzione, dell’Università e della Ricerca; Canadian Space Agency; Ministry of Science and Technology of the People's Republic of China; European Space Agency","keywords":"Remote sensing; Nova (rocket); Bay; Polarimetry; L band; Synthetic aperture radar; Characterization (materials science); Geology; C band; Environmental science; Oceanography; Engineering; Scattering; Physics; Optics","score_opus":0.02762736551151505,"score_gpt":0.22060752880070633,"score_spread":0.1929801632891913,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392775727","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":[0.9807572,0.00035229145,0.015910206,0.000056160752,0.0027347098,0.000048205402,0.000016474387,0.000009819883,0.00011498192],"genre_scores_gemma":[0.99880004,0.000040548817,0.0007816054,0.000024001376,0.00032305476,7.983386e-9,0.0000023745126,0.000007043736,0.000021319673],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99902165,0.000022271079,0.00035583705,0.00007671919,0.00036463898,0.00015889807],"domain_scores_gemma":[0.999588,0.000054719218,0.00015363118,0.00008596975,0.000061645966,0.00005599789],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042918217,0.00010238464,0.00015668121,0.00019634685,0.000047382444,0.000043645938,0.00015296343,0.000045235698,0.00016873522],"category_scores_gemma":[0.000053194508,0.000068896785,0.00010620378,0.00046420426,0.000018948824,0.00030508675,0.0000054858865,0.00023713773,0.0000036748377],"study_design_candidate":"observational","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":[0.000040514635,0.000037641592,0.15364859,0.00043460308,0.0004184944,0.000069288384,0.0009227828,0.06426342,0.76994395,0.000021691993,0.000044125052,0.010154881],"study_design_scores_gemma":[0.00040843373,0.00016465568,0.69934225,0.0010914291,0.00026437498,0.00095776614,0.0000881971,0.26450333,0.032295004,0.000021153814,0.0005619968,0.00030141123],"about_ca_topic_score_codex":0.00003374244,"about_ca_topic_score_gemma":0.0000025782042,"teacher_disagreement_score":0.73764896,"about_ca_system_score_codex":0.000021893706,"about_ca_system_score_gemma":0.00009238409,"threshold_uncertainty_score":0.28095296},"labels":[],"label_agreement":null},{"id":"W4405600938","doi":"10.1109/joe.2024.3478311","title":"Bearing-Only-Based Cooperative Target Enclosing Control for Multiple Uncrewed Surface Vehicles With Unknown Dynamics and Sideslip","year":2024,"lang":"en","type":"article","venue":"IEEE Journal of Oceanic Engineering","topic":"Guidance and Control Systems","field":"Engineering","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":"Dalhousie University","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Bearing (navigation); Vehicle dynamics; Control theory (sociology); Surface (topology); Control (management); Dynamics (music); Computer science; Engineering; Control engineering; Aerospace engineering; Physics; Acoustics; Artificial intelligence; Mathematics; Geometry","score_opus":0.005162265036829988,"score_gpt":0.1921902800824019,"score_spread":0.18702801504557193,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405600938","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":[0.48462296,0.0038922485,0.51037705,0.0000554246,0.0006514939,0.00021509222,0.000025864882,0.00013477093,0.00002508908],"genre_scores_gemma":[0.99416566,0.000034271467,0.0053035887,0.000018392502,0.0003497088,0.000005165338,0.0000025670868,0.000088230314,0.00003238791],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988519,0.000017043722,0.00045494933,0.00015281959,0.0001994546,0.0003238371],"domain_scores_gemma":[0.9990744,0.00046596365,0.00006750881,0.000107331536,0.00015776664,0.00012703803],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039384683,0.00026156052,0.000446822,0.00013487473,0.000053748558,0.00015901306,0.00012543138,0.000088422676,0.0000022472923],"category_scores_gemma":[0.00006263438,0.0002179479,0.00010814912,0.0001712183,0.000020395273,0.0002967275,0.000005156229,0.00032658636,0.0000010793458],"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":[0.00006202207,0.000008608746,0.00075338717,0.00042018952,0.000293946,0.000050907285,0.0001148195,0.9362348,0.061269227,0.00028953614,0.000119408505,0.00038317632],"study_design_scores_gemma":[0.0017812192,0.00021266015,0.0002904206,0.00084761734,0.00009945709,0.00014191786,0.000064185704,0.9866254,0.0088471435,0.000009617767,0.0008240157,0.00025635355],"about_ca_topic_score_codex":0.0000035903226,"about_ca_topic_score_gemma":0.000008855053,"teacher_disagreement_score":0.5095427,"about_ca_system_score_codex":0.00018786147,"about_ca_system_score_gemma":0.00010294555,"threshold_uncertainty_score":0.88876575},"labels":[],"label_agreement":null},{"id":"W4410204054","doi":"10.1109/joe.2025.3550984","title":"Automated Amplitude and Phase Attribute-Based Horizon Picking Applied to 3-D Sub-bottom Data","year":2025,"lang":"en","type":"article","venue":"IEEE Journal of Oceanic Engineering","topic":"Geological formations and processes","field":"Earth and Planetary Sciences","cited_by":0,"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":"China University of Geosciences; China Scholarship Council; China Postdoctoral Science Foundation; National Natural Science Foundation of China; Ministry of Natural Resources","keywords":"Amplitude; Phase (matter); Horizon; Computer science; Acoustics; Data mining; Algorithm; Mathematics; Physics; Optics; Geometry","score_opus":0.023102806759456206,"score_gpt":0.26116797875212555,"score_spread":0.23806517199266936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410204054","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":[0.9161892,0.0007013482,0.08217333,0.00026775218,0.0003771788,0.0000778767,0.000044274708,0.00007613362,0.000092896735],"genre_scores_gemma":[0.99404585,0.000042330426,0.005693247,0.00012129237,0.00006379425,1.8239558e-7,0.000027796024,0.0000021716075,0.0000033302565],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992151,0.000010163466,0.00032159468,0.0001184032,0.0001472988,0.0001874084],"domain_scores_gemma":[0.99941534,0.00017405518,0.00008810804,0.00014589717,0.000059192032,0.00011738502],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004311719,0.00010589655,0.00019356016,0.00018503754,0.00007390584,0.00009374062,0.0003209725,0.000047606052,0.00003978097],"category_scores_gemma":[0.00011585863,0.000083140796,0.000022435237,0.00035374655,0.000011863491,0.00023275161,0.000016601529,0.00018275272,0.0000067391557],"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":[0.00028511495,0.0001576903,0.06376186,0.0006528876,0.00026698477,0.00010385699,0.00022582912,0.83179903,0.012306028,0.000355876,0.007304586,0.082780264],"study_design_scores_gemma":[0.0025094503,0.00077216304,0.19484712,0.00042865772,0.000118528886,0.00009300394,0.000103778875,0.7787495,0.007834674,0.00012543946,0.013951694,0.0004659411],"about_ca_topic_score_codex":0.0000103624,"about_ca_topic_score_gemma":0.000008102874,"teacher_disagreement_score":0.13108526,"about_ca_system_score_codex":0.0000060339953,"about_ca_system_score_gemma":0.00006601756,"threshold_uncertainty_score":0.33903834},"labels":[],"label_agreement":null},{"id":"W4410226908","doi":"10.1109/joe.2025.3553955","title":"Directionality of Tonal Components of Ship Noise Using Arctic Hydrophone Array Elements","year":2025,"lang":"en","type":"article","venue":"IEEE Journal of Oceanic Engineering","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Dalhousie University","funders":"Ministère de la Défense Nationale","keywords":"Acoustics; Hydrophone; Noise (video); Underwater acoustics; Directionality; Computer science; Engineering; Geology; Underwater; Physics; Oceanography; Artificial intelligence","score_opus":0.029630926143084265,"score_gpt":0.2647513856028405,"score_spread":0.23512045945975624,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410226908","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":[0.93540496,0.00020671208,0.063368045,0.00001714094,0.0007786362,0.00005229485,0.000020041798,0.0000043868135,0.00014776377],"genre_scores_gemma":[0.99209267,0.000026709933,0.0077442373,0.00000715585,0.00009279017,4.520972e-8,0.0000029071591,0.000003682264,0.000029822666],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985564,0.00004169509,0.0005956411,0.00008741851,0.0005176762,0.00020118026],"domain_scores_gemma":[0.9992306,0.0001809192,0.00021472262,0.00009856122,0.00019010443,0.00008508088],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00066091574,0.00009745566,0.00026718818,0.0003066106,0.0000324983,0.000014187903,0.00022948268,0.00003977182,0.00013333405],"category_scores_gemma":[0.000094535775,0.0000870669,0.00009670819,0.0003043037,0.000037700014,0.00013654286,0.000009555523,0.00023961243,0.0000016086555],"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":[0.00006656315,0.00005923219,0.15208527,0.00026594513,0.00016878487,0.000010780058,0.00004710915,0.55029696,0.2967045,0.0000022531901,0.00001729675,0.00027533236],"study_design_scores_gemma":[0.000910778,0.00014245132,0.39099476,0.0005984568,0.000078563426,0.000071222996,0.000030329651,0.5144151,0.092322685,0.00021745494,0.00007652579,0.00014169958],"about_ca_topic_score_codex":0.00017806236,"about_ca_topic_score_gemma":0.000008723187,"teacher_disagreement_score":0.23890948,"about_ca_system_score_codex":0.000038627706,"about_ca_system_score_gemma":0.000103973834,"threshold_uncertainty_score":0.35504854},"labels":[],"label_agreement":null},{"id":"W4413360012","doi":"10.1109/joe.2025.3583780","title":"Ocean Sound Speed Profile Measurement Using a Pulse–Echo Technique","year":2025,"lang":"en","type":"article","venue":"IEEE Journal of Oceanic Engineering","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Acoustics; Echo (communications protocol); Underwater acoustics; Pulse (music); Sound (geography); Speed of sound; Computer science; Environmental science; Physics; Geology; Underwater; Telecommunications; Oceanography","score_opus":0.03675878416811829,"score_gpt":0.26205522598477304,"score_spread":0.22529644181665476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413360012","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":[0.21745044,0.00070414983,0.77847284,0.00007108178,0.0010588516,0.0003400287,0.000012146818,0.000050194565,0.0018402754],"genre_scores_gemma":[0.9790675,0.00002580015,0.02060567,0.000022289914,0.0002073117,6.418334e-8,9.787574e-7,0.000008171875,0.000062233594],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99832463,0.000038717088,0.00044102938,0.00013290317,0.00069216633,0.00037057494],"domain_scores_gemma":[0.9992499,0.00007234238,0.000111080604,0.0001476278,0.00028010187,0.00013897238],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001361584,0.00015210536,0.00024039227,0.00045964742,0.00007628576,0.00010654056,0.00035789236,0.00007594961,0.00018908865],"category_scores_gemma":[0.00014595228,0.00012951293,0.00009679292,0.0004013421,0.00002394954,0.0002330229,0.000014122426,0.00047739738,0.0000087041735],"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":[0.000054159802,0.00003563337,0.008302372,0.00023611137,0.00018360215,0.00016128908,0.00009266999,0.8837042,0.10516855,0.0000076048627,0.00059487857,0.0014589495],"study_design_scores_gemma":[0.0005820095,0.00018972109,0.0044911318,0.00055670156,0.00008209956,0.00040797415,0.00007377923,0.9228839,0.06949209,0.00053249026,0.00042903918,0.0002790324],"about_ca_topic_score_codex":0.000038565264,"about_ca_topic_score_gemma":0.000007584143,"teacher_disagreement_score":0.76161706,"about_ca_system_score_codex":0.00010174424,"about_ca_system_score_gemma":0.00026343588,"threshold_uncertainty_score":0.5281384},"labels":[],"label_agreement":null},{"id":"W4415603034","doi":"10.1109/joe.2025.3569341","title":"Evaluation of a GNSS Buoy With Real-Time Precise Point Positioning Ability for Monitoring Tides and Ocean Waves","year":2025,"lang":"en","type":"article","venue":"IEEE Journal of Oceanic Engineering","topic":"Soil Moisture and Remote Sensing","field":"Environmental Science","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":"Buoy; GNSS applications; Wave height; Significant wave height; Submarine pipeline; Wind wave; Precise Point Positioning; Satellite; Drifter","score_opus":0.008182227378714095,"score_gpt":0.2424580020386411,"score_spread":0.234275774659927,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415603034","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":[0.9939521,0.00017646556,0.0049763205,0.000046637153,0.00019278593,0.00014796335,5.29279e-7,0.000010427291,0.0004967834],"genre_scores_gemma":[0.98804325,0.000031140586,0.011815667,0.0000026266323,0.000083544226,2.1997394e-7,2.1562866e-7,0.000009787692,0.000013575786],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9991088,0.000029307115,0.00029230927,0.00010979111,0.0003373447,0.00012246081],"domain_scores_gemma":[0.9994643,0.0001424476,0.00015134658,0.00009366314,0.00010142992,0.000046829326],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012276286,0.00009645531,0.00018275005,0.0000702849,0.00004923895,0.000019667186,0.000066285276,0.000038818467,0.0000026333037],"category_scores_gemma":[0.00014846373,0.0000767553,0.000052514064,0.00012373144,0.000033407643,0.0001933767,0.000018529721,0.000096718766,2.0702475e-7],"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":[0.000114763694,0.00005778273,0.014632259,0.00013791476,0.0001804018,0.000005408354,0.0009825414,0.28173637,0.67493737,0.000010019719,0.00012330792,0.027081857],"study_design_scores_gemma":[0.0017542993,0.0003925067,0.5263525,0.0016903443,0.0006513366,0.00015733445,0.0003258112,0.20549746,0.26225597,0.0006470064,0.00001990604,0.0002555178],"about_ca_topic_score_codex":0.000017911872,"about_ca_topic_score_gemma":0.0000023100408,"teacher_disagreement_score":0.51172024,"about_ca_system_score_codex":0.00019907442,"about_ca_system_score_gemma":0.000029684441,"threshold_uncertainty_score":0.312999},"labels":[],"label_agreement":null},{"id":"W7116699528","doi":"10.1109/joe.2025.3633535","title":"Model Predictive Control for Energy-Efficient Path Following Control of AUVs","year":2025,"lang":"","type":"article","venue":"IEEE Journal of Oceanic Engineering","topic":"Adaptive Control of Nonlinear Systems","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":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Convergence (economics); Model predictive control; Path (computing); Control theory (sociology); Energy (signal processing); Control (management); Trajectory; Lexicographical order; Motion planning","score_opus":0.008748555043176563,"score_gpt":0.22134709696616645,"score_spread":0.21259854192298988,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7116699528","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":[0.032896828,0.012193393,0.9464236,0.000095643816,0.007063051,0.0008259219,0.00029685444,0.00008322154,0.000121494966],"genre_scores_gemma":[0.99327385,0.00009970222,0.0050622094,0.000054731157,0.0011904988,0.000029506995,0.000001955972,0.00017508098,0.00011245826],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99473256,0.000096679585,0.003024037,0.00036162842,0.0008167365,0.00096833706],"domain_scores_gemma":[0.9956397,0.0013612135,0.0011064362,0.00048540987,0.0010619202,0.0003453361],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0017553945,0.0008276923,0.002397633,0.0009532925,0.00010354255,0.00007292359,0.0007883847,0.00045041626,0.000004361395],"category_scores_gemma":[0.00051186373,0.0008539014,0.0017693065,0.000508201,0.000051999137,0.0003457938,0.000037357473,0.00080459117,0.0000010193942],"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":[0.00065771455,0.00017606078,0.00015224035,0.00066321617,0.004507312,0.000044042703,0.00030420354,0.9413309,0.049530208,0.0019097235,0.00027550186,0.00044883968],"study_design_scores_gemma":[0.012886859,0.0006299301,0.00017689954,0.0032531882,0.001908331,0.00003565506,0.00019101349,0.976954,0.0029196255,0.00006379955,0.00044812984,0.00053260423],"about_ca_topic_score_codex":0.000005223138,"about_ca_topic_score_gemma":9.951975e-7,"teacher_disagreement_score":0.96037704,"about_ca_system_score_codex":0.0008348222,"about_ca_system_score_gemma":0.00059632235,"threshold_uncertainty_score":0.9993912},"labels":[],"label_agreement":null}]}