{"meta":{"query_hash":"12d555b742a5","filters":{"venue":"OCEANS 2021: San Diego – Porto"},"cohort_total":12,"direct_labels_cover":0,"predictions_cover":12,"exported":12,"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/12d555b742a5","api":"https://metacan.xera.ac/api/v1/cohort?venue=OCEANS+2021%3A+San+Diego+%E2%80%93+Porto"},"results":[{"id":"W4212776501","doi":"10.23919/oceans44145.2021.9705794","title":"Target Detection for RD Images of HFSWR Based on CNN-ELM Model","year":2021,"lang":"en","type":"article","venue":"OCEANS 2021: San Diego – Porto","topic":"Machine Learning and ELM","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"National Natural Science Foundation of China","keywords":"Extreme learning machine; Clutter; Convolutional neural network; Computer science; Artificial intelligence; Detector; Interference (communication); Pattern recognition (psychology); Radar; Cascade; Feature extraction; Computer vision; Artificial neural network; Engineering; Telecommunications","score_opus":0.010195576044659522,"score_gpt":0.2450625082932069,"score_spread":0.23486693224854738,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4212776501","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":[0.01460294,0.00012984546,0.97403365,0.0010648101,0.00037415806,0.00016001517,0.000035173896,0.00013748047,0.009461899],"genre_scores_gemma":[0.92220885,0.000008447191,0.073524304,0.00048700074,0.000114568844,0.000017487639,0.000038904043,0.00002586458,0.0035746042],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99845,0.000074886615,0.00029788495,0.0005353142,0.00031415984,0.0003277621],"domain_scores_gemma":[0.99873924,0.00012573924,0.00014944827,0.00069587806,0.00018007836,0.000109618806],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003461829,0.0001919501,0.0002742816,0.00012836863,0.00014569373,0.00007762623,0.00039578942,0.00008442334,0.0001706987],"category_scores_gemma":[0.000191909,0.00018777362,0.00019251235,0.00036662308,0.000030140463,0.00017900755,0.00010253151,0.00015635065,0.000019298395],"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":[0.0002725092,0.001392966,0.006922933,0.00053554453,0.0001779309,0.00022266123,0.0013353153,0.4969648,0.03348388,0.009313715,0.17247076,0.27690697],"study_design_scores_gemma":[0.00052607455,0.00019533785,0.0009862098,0.000038142305,0.000016747534,0.0000051270945,0.00002813289,0.941535,0.043777656,0.0016581322,0.01100458,0.00022888953],"about_ca_topic_score_codex":0.000024206758,"about_ca_topic_score_gemma":0.00003305464,"teacher_disagreement_score":0.9076059,"about_ca_system_score_codex":0.00003376152,"about_ca_system_score_gemma":0.00016770272,"threshold_uncertainty_score":0.7657186},"labels":[],"label_agreement":null},{"id":"W4212855149","doi":"10.23919/oceans44145.2021.9705878","title":"Kalman Filter-based Doppler Tracking and Channel Estimation for AUV Implementation","year":2021,"lang":"en","type":"article","venue":"OCEANS 2021: San Diego – Porto","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":"Dalhousie University","funders":"","keywords":"Doppler effect; Computer science; Estimator; Kalman filter; Control theory (sociology); Multipath propagation; Channel (broadcasting); Acoustics; Mach number; Telecommunications; Mathematics; Physics; Statistics; Artificial intelligence","score_opus":0.028665381888126715,"score_gpt":0.27380178414679346,"score_spread":0.24513640225866673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4212855149","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":[0.446405,0.0014792883,0.54741895,0.0008499841,0.0003270074,0.00089329516,0.00023015939,0.00038934674,0.002006945],"genre_scores_gemma":[0.9927317,0.000040799143,0.006134322,0.00009980272,0.00008404018,0.00007623385,0.0006392152,0.00004090583,0.00015300699],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991256,0.00002977182,0.00031530502,0.00019618661,0.00012066106,0.00021250233],"domain_scores_gemma":[0.99946,0.000052167685,0.000058462992,0.00027868574,0.00008092478,0.00006977687],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015013931,0.00014617018,0.00017093695,0.00006489202,0.00012212615,0.00011554461,0.00009549014,0.000057305337,0.00028462987],"category_scores_gemma":[0.0000039814486,0.00015905536,0.00006109891,0.00012694302,0.00001392283,0.00018330298,0.000027759055,0.00007007442,0.000007765689],"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":[0.00010430373,0.00041294657,0.01752282,0.0026405053,0.0008539184,0.000086280954,0.014458329,0.066242054,0.15570441,0.0024719518,0.0890389,0.6504636],"study_design_scores_gemma":[0.004053846,0.00017576039,0.014407471,0.00030050837,0.00019443275,0.000072761584,0.0075433464,0.6140428,0.23583946,0.0014583553,0.12066717,0.0012440793],"about_ca_topic_score_codex":0.00001724127,"about_ca_topic_score_gemma":0.00027375133,"teacher_disagreement_score":0.6492195,"about_ca_system_score_codex":0.000045773268,"about_ca_system_score_gemma":0.000027011249,"threshold_uncertainty_score":0.6486089},"labels":[],"label_agreement":null},{"id":"W4212878732","doi":"10.23919/oceans44145.2021.9705861","title":"Generation of Augmented Bathymetry to Aid Development of Terrain-Aided Autonomous Underwater Vehicle Localization and Navigation Approaches","year":2021,"lang":"en","type":"article","venue":"OCEANS 2021: San Diego – Porto","topic":"Underwater Vehicles and Communication Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Bathymetry; Terrain; Computer science; Noise (video); Geology; Remote sensing; Computer vision; Artificial intelligence; Geography","score_opus":0.04566125191664059,"score_gpt":0.2335254682954179,"score_spread":0.18786421637877732,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4212878732","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":[0.8127711,0.0003390874,0.18603005,0.00005371961,0.00005237338,0.00018342157,0.000010407874,0.000048502414,0.0005113424],"genre_scores_gemma":[0.98645324,0.000020803196,0.012892966,0.000030802847,0.00003511202,0.000019126948,0.0003570104,0.000029780827,0.00016115804],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99879885,0.00005842358,0.0005852299,0.00021035848,0.00019294841,0.00015421117],"domain_scores_gemma":[0.9994006,0.000015881804,0.00009484601,0.00030511376,0.0001065182,0.000077039134],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019294186,0.00014964532,0.0002430992,0.00009925909,0.000071878174,0.00003582102,0.000108088214,0.00008223038,0.00007350357],"category_scores_gemma":[0.0000040910118,0.0001551602,0.000038486112,0.00028645538,0.000026186868,0.00012640542,0.00008182338,0.00006526893,0.0000056558374],"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":[0.000025450814,0.00022591867,0.019709786,0.00063794915,0.0003339349,0.000008453632,0.017451426,0.03218615,0.8487807,0.0003690054,0.0009350518,0.079336174],"study_design_scores_gemma":[0.00052625337,0.000038432878,0.0047605434,0.00015296247,0.000032392996,0.000010993451,0.0021534592,0.0873296,0.8971952,0.00005994896,0.0074591,0.00028110706],"about_ca_topic_score_codex":0.000016145126,"about_ca_topic_score_gemma":0.00011249864,"teacher_disagreement_score":0.17368214,"about_ca_system_score_codex":0.000082360326,"about_ca_system_score_gemma":0.000057695,"threshold_uncertainty_score":0.63272494},"labels":[],"label_agreement":null},{"id":"W4212897324","doi":"10.23919/oceans44145.2021.9705694","title":"Dynamic Path Following in Ice-covered Waters with an Autonomous Surface Ship Model","year":2021,"lang":"en","type":"article","venue":"OCEANS 2021: San Diego – Porto","topic":"Maritime Navigation and Safety","field":"Engineering","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":"National Research Council Canada","funders":"","keywords":"Autopilot; Testbed; Heading (navigation); Marine engineering; Scope (computer science); Computer science; Path (computing); Sea ice; Simulation; Environmental science; Aerospace engineering; Systems engineering; Engineering; Geology; Oceanography","score_opus":0.007511276397156646,"score_gpt":0.21323881402881664,"score_spread":0.20572753763166,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4212897324","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":[0.9813408,0.0001854365,0.004417881,0.000085549604,0.00019121423,0.00017047778,0.000065405424,0.00024819278,0.013295039],"genre_scores_gemma":[0.99264675,0.00003691213,0.005040817,0.000108571185,0.00001799349,0.0000069266857,0.00042991785,0.00008144661,0.0016306661],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984587,0.000048557144,0.00036484117,0.00040946717,0.00026205415,0.00045638066],"domain_scores_gemma":[0.99926823,0.000029711598,0.000035748104,0.00044516093,0.00004055993,0.00018059889],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00020836967,0.0002778919,0.000346745,0.00006872575,0.00006660998,0.00008033659,0.00017023481,0.00013364958,0.00042332776],"category_scores_gemma":[0.000014854183,0.00028400082,0.00010515549,0.00035069007,0.000020671636,0.0003399158,0.000041633422,0.00029460533,0.000029225916],"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":[0.00004776703,0.00011307889,0.028105062,0.00010404477,0.000109335444,0.0010904153,0.0015553583,0.9622776,0.0033598111,0.0003209728,0.00072313653,0.002193454],"study_design_scores_gemma":[0.0010105808,0.000040637842,0.0090270685,0.000107053245,0.000038289647,0.000020331749,0.0005811271,0.9868866,0.0008894654,0.00020877324,0.0006533308,0.0005367481],"about_ca_topic_score_codex":0.000050773153,"about_ca_topic_score_gemma":0.00068179495,"teacher_disagreement_score":0.02460903,"about_ca_system_score_codex":0.00020469552,"about_ca_system_score_gemma":0.00013736529,"threshold_uncertainty_score":0.9999612},"labels":[],"label_agreement":null},{"id":"W4212944028","doi":"10.23919/oceans44145.2021.9705801","title":"In-situ Sea Ice Detection using DeepLabv3 Semantic Segmentation","year":2021,"lang":"en","type":"article","venue":"OCEANS 2021: San Diego – Porto","topic":"Arctic and Antarctic ice dynamics","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":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Canadian Space Agency; Canada First Research Excellence Fund; Ocean Frontier Institute; Memorial University of Newfoundland","keywords":"Computer science; Artificial intelligence; Deep learning; Segmentation; Computer vision","score_opus":0.011726457709031819,"score_gpt":0.22692694069640384,"score_spread":0.21520048298737202,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4212944028","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":[0.9888924,0.00018793192,0.0040584435,0.00013416503,0.00066979026,0.00012418292,0.0000306526,0.000027359072,0.0058750766],"genre_scores_gemma":[0.99621075,0.00012214879,0.0022491363,0.000451574,0.00018754615,5.780003e-7,0.00025686284,0.00000902421,0.00051237247],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99855965,0.00009524124,0.0003078041,0.00037458455,0.00028840362,0.00037432153],"domain_scores_gemma":[0.9994223,0.0000868714,0.000105849605,0.00020482785,0.0000632442,0.00011690843],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000225946,0.00017500916,0.0002066273,0.00010396468,0.00021575487,0.00007003118,0.000107029024,0.000090694375,0.003961702],"category_scores_gemma":[0.000049072325,0.00017747095,0.00007299083,0.0005106124,0.00005522257,0.00045932434,0.000021608785,0.00020191392,0.00016362137],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005110858,0.000060359627,0.95399207,0.00007938049,0.00005106405,0.00081979943,0.00088081905,0.006666069,0.0043245154,0.000038716695,0.00034175604,0.03269434],"study_design_scores_gemma":[0.0013764256,0.00017997703,0.7864544,0.00016770391,0.00022558171,0.0006007352,0.010237549,0.18508412,0.009750845,0.0013058024,0.003580544,0.001036348],"about_ca_topic_score_codex":0.0014052477,"about_ca_topic_score_gemma":0.029494636,"teacher_disagreement_score":0.17841806,"about_ca_system_score_codex":0.000031564483,"about_ca_system_score_gemma":0.00012825582,"threshold_uncertainty_score":0.99694884},"labels":[],"label_agreement":null},{"id":"W4212967210","doi":"10.23919/oceans44145.2021.9706106","title":"Estimates of Wave Field in the Vicinity of a Floating Body Using Its Motions and Machine Learning Techniques","year":2021,"lang":"en","type":"article","venue":"OCEANS 2021: San Diego – Porto","topic":"Ocean Waves and Remote Sensing","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":"National Research Council Canada","funders":"","keywords":"Heading (navigation); Artificial neural network; Field (mathematics); Computer science; Satellite; Artificial intelligence; Acoustics; Machine learning; Marine engineering; Engineering; Aerospace engineering; Physics; Mathematics","score_opus":0.025545111161042505,"score_gpt":0.24372309668420997,"score_spread":0.21817798552316747,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4212967210","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":[0.99379295,0.0012066604,0.00021466022,0.00012692976,0.000049829076,0.000095184594,0.000027532413,0.000012580376,0.004473693],"genre_scores_gemma":[0.98984426,0.00017513217,0.009784257,0.00006342628,0.000040529678,7.122074e-9,0.000047313733,0.0000043248306,0.000040767227],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99906737,0.0001065808,0.0003050738,0.00017854938,0.00016174809,0.000180707],"domain_scores_gemma":[0.9993612,0.00026690587,0.0001391778,0.00013329415,0.000060501457,0.000038931114],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035641622,0.00011171473,0.00023235838,0.000080447455,0.00013171413,0.00002807436,0.00007024678,0.00006119636,0.000399611],"category_scores_gemma":[0.00028244764,0.00008187158,0.000053032763,0.00030833166,0.000057327605,0.00009750018,0.000027005084,0.00022098751,6.6416766e-7],"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":[0.000033300857,0.00011118563,0.86534876,0.0003630817,0.00007864429,0.0004304577,0.0045520402,0.003145638,0.019942703,0.00015942655,0.00013884374,0.105695896],"study_design_scores_gemma":[0.000352427,0.00035353578,0.29335663,0.00070914434,0.00011999628,0.00034826557,0.0066290204,0.60812896,0.088372365,0.00084857567,0.00039218506,0.00038887578],"about_ca_topic_score_codex":0.0012371907,"about_ca_topic_score_gemma":0.001477356,"teacher_disagreement_score":0.6049833,"about_ca_system_score_codex":0.0000023263897,"about_ca_system_score_gemma":0.00004262672,"threshold_uncertainty_score":0.437546},"labels":[],"label_agreement":null},{"id":"W4213027311","doi":"10.23919/oceans44145.2021.9705752","title":"Classifying Glare Intensity in Airborne Imagery Acquired during Marine Megafauna Survey","year":2021,"lang":"en","type":"article","venue":"OCEANS 2021: San Diego – Porto","topic":"Remote-Sensing Image Classification","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Fisheries and Oceans Canada; National Research Council Canada; University of New Brunswick","funders":"","keywords":"Megafauna; Remote sensing; GLARE; Environmental science; Intensity (physics); Computer science; Geology; Optics; Materials science; Physics","score_opus":0.020084380588540944,"score_gpt":0.22920188104535885,"score_spread":0.2091175004568179,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4213027311","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":[0.99019325,0.00044646033,0.0010099375,0.0001615785,0.00092023896,0.00020806643,0.000041557494,0.00043087185,0.0065880176],"genre_scores_gemma":[0.9954049,0.00021459424,0.002177415,0.0000687427,0.00019886252,0.000004768195,0.00056304864,0.00014593899,0.0012217327],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99733377,0.0001421948,0.0007465839,0.0007095374,0.0003697601,0.0006981862],"domain_scores_gemma":[0.9982372,0.00013266363,0.000116587675,0.0009813643,0.00033257907,0.00019961168],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005498163,0.00043227733,0.00063223625,0.0002851873,0.000115329094,0.00016386776,0.00024732066,0.00022212748,0.00063313707],"category_scores_gemma":[0.00057411875,0.0005161772,0.00015408285,0.0010794185,0.0000915627,0.0004314285,0.00027194776,0.00043379766,0.000114459996],"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":[0.0002268513,0.0003129468,0.62025756,0.0007871648,0.00035316942,0.0060562026,0.0011485387,0.0057371925,0.30228433,0.0000443954,0.028598597,0.03419307],"study_design_scores_gemma":[0.0006169838,0.000009917093,0.9426075,0.00016330065,0.000029036848,0.00011501605,0.00032558895,0.018871712,0.03569157,0.00004304484,0.0009651244,0.00056118326],"about_ca_topic_score_codex":0.00019271001,"about_ca_topic_score_gemma":0.0031491444,"teacher_disagreement_score":0.32235,"about_ca_system_score_codex":0.00043933664,"about_ca_system_score_gemma":0.00010226269,"threshold_uncertainty_score":0.999729},"labels":[],"label_agreement":null},{"id":"W4213091245","doi":"10.23919/oceans44145.2021.9705953","title":"Hyperspectral Imaging System for Marine Litter Detection","year":2021,"lang":"en","type":"article","venue":"OCEANS 2021: San Diego – Porto","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","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":"Air Canada","funders":"Fundação para a Ciência e a Tecnologia; European Space Agency","keywords":"Hyperspectral imaging; Marine debris; Remote sensing; Litter; Environmental science; Convolutional neural network; Computer science; Artificial intelligence; Oceanography; Geology; Ecology; Biology","score_opus":0.005022788837958435,"score_gpt":0.18988482610942872,"score_spread":0.1848620372714703,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4213091245","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":[0.8651595,0.00020215558,0.07881714,0.00038599063,0.0022214015,0.00044494905,0.0001835317,0.00014642521,0.05243888],"genre_scores_gemma":[0.9946521,0.000010782865,0.0024202263,0.00011256421,0.00024335388,0.000011268273,0.00005560603,0.000023230354,0.0024708472],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99884474,0.000027146913,0.00021927524,0.00038513768,0.00017726091,0.00034642493],"domain_scores_gemma":[0.99952304,0.000054261385,0.00007108745,0.00022056226,0.000018598816,0.000112457856],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00014668195,0.00015193432,0.00015476013,0.00003037472,0.00016683704,0.000058848633,0.00009488681,0.000050314848,0.0046625324],"category_scores_gemma":[0.00005640467,0.00015099665,0.000099112905,0.0001741603,0.00004878069,0.00010967853,0.00012329353,0.000096716314,0.00027483897],"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":[0.00020679267,0.00029784808,0.11941319,0.00022671699,0.00013010795,0.0006610707,0.0006732098,0.0012506661,0.6920382,0.0018377997,0.07331676,0.109947674],"study_design_scores_gemma":[0.0035624332,0.00031421246,0.21363156,0.00021622174,0.00050908816,0.001432711,0.002900233,0.07496332,0.32712755,0.0014396155,0.37178814,0.0021149195],"about_ca_topic_score_codex":0.00012707143,"about_ca_topic_score_gemma":0.00061643217,"teacher_disagreement_score":0.3649106,"about_ca_system_score_codex":0.00024340283,"about_ca_system_score_gemma":0.000021425652,"threshold_uncertainty_score":0.99624735},"labels":[],"label_agreement":null},{"id":"W4213142523","doi":"10.23919/oceans44145.2021.9706127","title":"Propagation, breaking and interaction of regular and irregular waves over a complex bathymetry with an oil rig","year":2021,"lang":"en","type":"article","venue":"OCEANS 2021: San Diego – Porto","topic":"Coastal and Marine Dynamics","field":"Earth and Planetary Sciences","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":"National Research Council Canada","funders":"","keywords":"Bathymetry; Breaking wave; Submarine pipeline; Geology; Wavelength; Reflection (computer programming); Waves and shallow water; Diffraction; Wind wave; Shoaling and schooling; Seabed; Wave propagation; Marine engineering; Mechanics; Optics; Geotechnical engineering; Physics; Oceanography; Computer science; Engineering","score_opus":0.009096059839288087,"score_gpt":0.20967113861346806,"score_spread":0.20057507877417996,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4213142523","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":[0.99388903,0.00028898602,0.00019039708,0.00007539012,0.00007149213,0.000051133557,0.00008137026,0.000017228855,0.005334986],"genre_scores_gemma":[0.99674904,0.00010682886,0.001533049,0.00006165594,0.000058610214,3.8853148e-7,0.0005499038,0.0000062062168,0.0009343332],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990978,0.00004861289,0.0001951776,0.00030708266,0.00018910826,0.00016219658],"domain_scores_gemma":[0.99947834,0.000039419265,0.000107016924,0.0001855519,0.00007980547,0.000109839035],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00011814449,0.00013679461,0.00020090386,0.00006916572,0.00010064358,0.00007203213,0.000057724774,0.000042513628,0.001341857],"category_scores_gemma":[0.000021122552,0.00011106772,0.000025791234,0.00020829671,0.00011586467,0.00035157308,0.00004011822,0.00009028632,0.0000015470622],"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":[0.0002097486,0.00008147847,0.57225806,0.00021754947,0.00008732315,0.00019567393,0.0006477064,0.00019970669,0.0015208656,0.0007344479,0.00043637454,0.42341107],"study_design_scores_gemma":[0.00047410428,0.00027843058,0.956546,0.000095225,0.00006218607,0.0003183697,0.0012973646,0.033461813,0.0003576685,0.0004424878,0.00640642,0.0002599391],"about_ca_topic_score_codex":0.0008203478,"about_ca_topic_score_gemma":0.016044762,"teacher_disagreement_score":0.42315114,"about_ca_system_score_codex":0.0000035111266,"about_ca_system_score_gemma":0.000044531207,"threshold_uncertainty_score":0.999571},"labels":[],"label_agreement":null},{"id":"W4213225004","doi":"10.23919/oceans44145.2021.9705678","title":"Gap-less Bilateral Swath Bathymetry","year":2021,"lang":"en","type":"article","venue":"OCEANS 2021: San Diego – Porto","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":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Metamaterial Technologies (Canada)","funders":"","keywords":"Bathymetry; Sonar; Geology; Underwater; Nadir; Side-scan sonar; Remote sensing; Port (circuit theory); Acoustics; Geodesy; Engineering; Oceanography; Physics","score_opus":0.030393474989249925,"score_gpt":0.25563025476210854,"score_spread":0.2252367797728586,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4213225004","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":[0.838935,0.0015551369,0.0023607044,0.00059328787,0.0011548247,0.00026458266,0.00054316595,0.00013402251,0.15445927],"genre_scores_gemma":[0.98366696,0.00016602119,0.0024034511,0.00037816778,0.00032047834,0.0000011805214,0.0007491821,0.00001806295,0.012296515],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99718547,0.00015031874,0.00037086476,0.0006546215,0.0007809806,0.0008577357],"domain_scores_gemma":[0.99862164,0.00015125092,0.00006636235,0.00057895674,0.00015788041,0.00042389528],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004026603,0.00026903383,0.00033146984,0.00018467057,0.00023462383,0.00029347613,0.0004451455,0.00014756747,0.045374725],"category_scores_gemma":[0.00008883403,0.00023376259,0.00014085525,0.0006984643,0.00013398302,0.00028124702,0.00009108526,0.00040608158,0.0014472891],"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":[0.000061871506,0.00012578847,0.90994734,0.00010677835,0.00012281112,0.0041549886,0.00052517926,0.0036752708,0.0015045209,0.000081003964,0.045036267,0.0346582],"study_design_scores_gemma":[0.0021025278,0.0005291456,0.7890507,0.00014570917,0.00018812808,0.00075709075,0.0040047644,0.07565884,0.01160178,0.0049106856,0.10879228,0.0022583543],"about_ca_topic_score_codex":0.0005540692,"about_ca_topic_score_gemma":0.0053432225,"teacher_disagreement_score":0.14473194,"about_ca_system_score_codex":0.0000178992,"about_ca_system_score_gemma":0.00031261344,"threshold_uncertainty_score":0.9993302},"labels":[],"label_agreement":null},{"id":"W4213308180","doi":"10.23919/oceans44145.2021.9705943","title":"Investigation of Numerical Modelling Techniques for Predicting Highly Nonlinear Extreme Waves in Shallow and Deep Water","year":2021,"lang":"en","type":"article","venue":"OCEANS 2021: San Diego – Porto","topic":"Fluid Dynamics Simulations and Interactions","field":"Engineering","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":"National Research Council Canada","funders":"National Research Council","keywords":"Reynolds-averaged Navier–Stokes equations; Computational fluid dynamics; Finite volume method; Inviscid flow; Smoothed-particle hydrodynamics; Breaking wave; Mechanics; Numerical analysis; Shallow water equations; Computer science; Physics; Wave propagation; Mathematics; Mathematical analysis","score_opus":0.018534773103506062,"score_gpt":0.22481084381341704,"score_spread":0.20627607070991097,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4213308180","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":[0.7101119,0.00024825658,0.28831086,0.000073303985,0.0001222987,0.00018796363,0.00004154264,0.00010105135,0.00080281694],"genre_scores_gemma":[0.9286128,0.000087117965,0.07082257,0.000016400627,0.000075920834,0.00001867315,0.00023317701,0.00003447865,0.00009883018],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991503,0.000014711848,0.0003713045,0.00019154335,0.00008826922,0.00018390312],"domain_scores_gemma":[0.99960756,0.000067561465,0.0000294032,0.00014664904,0.00009532608,0.000053510208],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010341926,0.00012564119,0.00019092888,0.00012520056,0.00004796675,0.000028957444,0.000049099548,0.00008124077,0.000067944646],"category_scores_gemma":[0.000026084736,0.000121102465,0.00005492526,0.0001423005,0.00002391233,0.00022213507,0.000029277146,0.00012214725,0.0000010086353],"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":[0.000018647417,0.00006539357,0.04634426,0.0003068873,0.00009855487,0.000019065628,0.002328891,0.89195013,0.053544275,0.0012019766,0.00029368117,0.003828207],"study_design_scores_gemma":[0.00014024672,0.000023855217,0.0005251392,0.00007975729,0.000018751332,0.000005223803,0.00015582003,0.9809684,0.016642256,0.00056270097,0.0007485649,0.00012929927],"about_ca_topic_score_codex":0.000025736477,"about_ca_topic_score_gemma":0.00013403765,"teacher_disagreement_score":0.21850093,"about_ca_system_score_codex":0.000035474204,"about_ca_system_score_gemma":0.000017254528,"threshold_uncertainty_score":0.49384153},"labels":[],"label_agreement":null},{"id":"W4213344339","doi":"10.23919/oceans44145.2021.9705684","title":"Analysis of the Impact of Flow on the Underwater Acoustic Channel","year":2021,"lang":"en","type":"article","venue":"OCEANS 2021: San Diego – Porto","topic":"Underwater Vehicles and Communication Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Underwater; Channel (broadcasting); Acoustics; Underwater acoustic communication; Turbulence; Doppler effect; SIGNAL (programming language); Flow (mathematics); Mean flow; Computer science; Amplitude; Open-channel flow; Ray tracing (physics); Marine engineering; Telecommunications; Geology; Physics; Meteorology; Engineering; Mechanics; Optics","score_opus":0.01817631764482897,"score_gpt":0.235156316357842,"score_spread":0.21697999871301304,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4213344339","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":[0.98689336,0.00048631208,0.004992995,0.0002582982,0.00009946021,0.00017066654,0.00013461355,0.000042364856,0.0069219107],"genre_scores_gemma":[0.9991957,0.000076407385,0.000035809702,0.000038807255,0.000031144977,0.000006578616,0.0000310323,0.00002422835,0.0005602843],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99898374,0.0001021542,0.00036304642,0.00013842745,0.00022558286,0.00018704702],"domain_scores_gemma":[0.99863905,0.00010545436,0.00009186447,0.0010226924,0.000097581025,0.0000433828],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018577842,0.00015294165,0.00033306345,0.00009381673,0.00006563241,0.000026793774,0.0004070302,0.00006142265,0.00088460796],"category_scores_gemma":[0.0000083416135,0.00008405065,0.0004583596,0.000878101,0.000049490394,0.000038952687,0.000100460835,0.00014509547,0.000010538305],"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":[0.000016547474,0.00016886742,0.015017173,0.0000811184,0.004989678,0.000009380195,0.0032146194,0.91982657,0.047867127,0.00012107433,0.007213877,0.0014739984],"study_design_scores_gemma":[0.00068786554,0.00014177975,0.13438407,0.00030166638,0.002007012,0.00001706738,0.0051444746,0.7343897,0.11866213,0.0006049215,0.0029583788,0.00070091384],"about_ca_topic_score_codex":0.00009300468,"about_ca_topic_score_gemma":0.00033256426,"teacher_disagreement_score":0.18543682,"about_ca_system_score_codex":0.000053475072,"about_ca_system_score_gemma":0.000039185867,"threshold_uncertainty_score":0.9685837},"labels":[],"label_agreement":null}]}