{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":92,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":92,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"query_hash":"709ebe2ad5fb","filters":{"venue":"IEEE Journal of Oceanic Engineering"}},"results":[{"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","retraction":null,"screen_n_in":null,"score":{"opus":0.02343953176919648,"gpt":0.2700634225654394,"spread":0.2466238907962429,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005387967,0.0002807744,0.001285845,0.0001564179,0.00002586368,0.00004686381,0.0003056437,0.0001495163,0.000006282417],"category_scores_gemma":[0.000009471224,0.0002350674,0.0002501286,0.0002299101,0.000009459372,0.00009723809,0.00002167715,0.0004566,0.00001030937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001078392,"about_ca_system_score_gemma":0.0000331213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":2.691694e-7,"about_ca_topic_score_gemma":4.322833e-8,"domain_scores_codex":[0.9983723,0.00005653912,0.001129502,0.00009138922,0.0002008708,0.0001494522],"domain_scores_gemma":[0.9990934,0.00009009895,0.0003584504,0.0002575108,0.00009231883,0.0001082345],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[5.209603e-7,0.000009472292,8.333093e-7,0.2627861,0.0004149471,0.00001710846,0.00006067457,0.00632964,0.00001387314,0.00005301466,0.002364218,0.7279496],"study_design_scores_gemma":[0.00006918012,0.00001765485,2.239134e-7,0.1186296,0.0003181563,0.0008183958,0.000001690948,0.00537795,0.000006108563,0.000003315695,0.874565,0.0001926873],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000003343441,0.9331331,0.06624974,0.000006520718,0.0003247639,0.0001647532,0.000002131474,0.00006272696,0.00005289383],"genre_scores_gemma":[0.0003457351,0.9985081,0.0006181388,0.00001680708,0.0004040184,0.000005700374,0.000006128355,0.00007830459,0.00001706693],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8722008,"threshold_uncertainty_score":0.958577,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"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","retraction":null,"screen_n_in":null,"score":{"opus":0.005954592622817126,"gpt":0.1883671297624797,"spread":0.1824125371396626,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002140154,0.0001014308,0.0001923514,0.0001415301,0.0000365066,0.000024858,0.0001246514,0.00004602535,0.00002619361],"category_scores_gemma":[0.00004639855,0.00008101968,0.00008533533,0.0001529789,0.00003287345,0.0003146657,0.000002589855,0.0002056109,0.000006008822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001026914,"about_ca_system_score_gemma":0.00006928808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004240486,"about_ca_topic_score_gemma":0.00001086065,"domain_scores_codex":[0.9991025,0.000009873092,0.0003714125,0.00007492294,0.0002634529,0.0001778777],"domain_scores_gemma":[0.9994634,0.00007331282,0.0001842407,0.00007677088,0.0001014151,0.0001007985],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00001236468,0.00000972661,0.01016245,0.00004749833,0.00003594974,0.000123049,0.0002109016,0.985535,0.002152419,0.000008468251,0.00001510099,0.001687072],"study_design_scores_gemma":[0.001215064,0.0004107609,0.920288,0.0008824239,0.00007122308,0.001876159,0.0001315772,0.04253488,0.03166758,0.0004197165,0.0001489265,0.0003536807],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964713,0.0003987958,0.00239903,0.00009876869,0.0004090655,0.00003233759,0.000006310559,0.000008244481,0.0001761009],"genre_scores_gemma":[0.9952407,0.00008960465,0.004407935,0.00004039878,0.0002047889,6.79118e-10,0.000001363348,0.000004813265,0.0000103759],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9430001,"threshold_uncertainty_score":0.3303887,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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","retraction":null,"screen_n_in":null,"score":{"opus":0.02637053842409018,"gpt":0.1857270157232319,"spread":0.1593564772991417,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002012061,0.0001386355,0.0002291375,0.0000314021,0.00004688201,0.00004393103,0.00009959685,0.00004894954,0.00009922751],"category_scores_gemma":[0.00003237341,0.0001177422,0.00001578489,0.00006115811,0.00002573176,0.0004082303,0.00004654239,0.0002715626,3.59526e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001613831,"about_ca_system_score_gemma":0.00003893522,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03226258,"about_ca_topic_score_gemma":0.005889955,"domain_scores_codex":[0.9991539,0.00002021674,0.0003133865,0.000137901,0.0001794605,0.0001951777],"domain_scores_gemma":[0.9995668,0.00008413786,0.0001027946,0.00007168372,0.00001877337,0.0001558063],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00003541086,0.0001429595,0.03791288,0.0002668614,0.0004381417,0.0004446847,0.05197366,0.8416106,0.04066213,0.001779596,0.0007371583,0.0239959],"study_design_scores_gemma":[0.007053616,0.0009197731,0.5197534,0.00240934,0.0003883731,0.0008579458,0.1334805,0.3166862,0.006511661,0.0009688422,0.007631457,0.003338861],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9839087,0.01520184,0.00002024449,0.0003794542,0.0001528936,0.00006448506,0.000002839917,0.000006034016,0.0002635381],"genre_scores_gemma":[0.9896939,0.009191087,0.0009556997,0.00004015607,0.0000716451,5.737035e-7,4.768365e-7,0.00001624304,0.00003016449],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5249244,"threshold_uncertainty_score":0.9741817,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Victoria","funders":"","keywords":"Inversion (geology); Geology; Transmission loss; Acoustics; Computer science; Seismology; Telecommunications","retraction":null,"screen_n_in":null,"score":{"opus":0.02796471849210434,"gpt":0.290914016268511,"spread":0.2629492977764066,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002227445,0.0001382259,0.0002383822,0.0002779879,0.00008600202,0.00007418666,0.0002412304,0.00007050535,0.0002475631],"category_scores_gemma":[0.0004480036,0.0001148558,0.0001223163,0.0001620092,0.00001783167,0.0002228381,0.000005964956,0.000289842,0.000007026263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003573032,"about_ca_system_score_gemma":0.000096423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001150954,"about_ca_topic_score_gemma":0.000004483025,"domain_scores_codex":[0.9986571,0.00008513543,0.0004018357,0.0001310358,0.0003417192,0.0003831722],"domain_scores_gemma":[0.9986846,0.000718238,0.0001283977,0.000110753,0.0001621375,0.0001958626],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003491326,0.00001324893,0.001791678,0.0001275946,0.00008511449,0.00004481461,0.0001246944,0.9672694,0.01565223,0.00001544623,0.0003938808,0.01444697],"study_design_scores_gemma":[0.0006479272,0.0002741269,0.00124376,0.00008712884,0.00006348021,0.000273864,0.00007195441,0.9826857,0.0119525,0.0003133564,0.002202636,0.0001835342],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03577783,0.0007399666,0.9614904,0.00002663197,0.001486179,0.0001226084,0.000006300298,0.00001549319,0.000334617],"genre_scores_gemma":[0.7454897,0.0001088212,0.2540374,0.00002139421,0.0002721906,2.307468e-7,0.000001369686,0.000009222453,0.00005972945],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7097118,"threshold_uncertainty_score":0.4683686,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","retraction":null,"screen_n_in":null,"score":{"opus":0.03202817901531217,"gpt":0.2298072387070078,"spread":0.1977790596916956,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004546612,0.0002188248,0.0003304387,0.0001763037,0.00008111135,0.00009729525,0.001184779,0.0001325346,0.00002632407],"category_scores_gemma":[0.0000224028,0.0002032246,0.0001584828,0.0001333525,0.00001742146,0.0003855584,0.0001170834,0.0003668337,0.000009622644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001236333,"about_ca_system_score_gemma":0.0000168623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006984586,"about_ca_topic_score_gemma":0.000005651775,"domain_scores_codex":[0.9986678,0.00003960554,0.0007082184,0.0001066171,0.0001832803,0.0002944252],"domain_scores_gemma":[0.9986627,0.0001856152,0.0002023517,0.0006412286,0.0001794953,0.0001285714],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008719398,0.00008300792,0.0003766609,0.0001837128,0.0002735603,0.000007151036,0.001398004,0.9196171,0.06679483,0.000004538494,0.001137049,0.01003716],"study_design_scores_gemma":[0.001047308,0.000130988,0.001591861,0.0003632239,0.00006537214,0.00006663674,0.00005751673,0.9760711,0.01654651,0.00004809815,0.003711238,0.0003001352],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1952507,0.00191312,0.8019972,0.00002442925,0.0003915237,0.0002112216,0.000005040722,0.0001395719,0.00006718611],"genre_scores_gemma":[0.9869069,0.0006140506,0.01214891,0.0000155141,0.0001785307,0.000009287432,0.000005888329,0.00008425196,0.00003670042],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7916562,"threshold_uncertainty_score":0.8287259,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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","retraction":null,"screen_n_in":null,"score":{"opus":0.01093840895741884,"gpt":0.2027298719653376,"spread":0.1917914630079188,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002921722,0.0001195113,0.0001958172,0.0001419448,0.0000290748,0.00005279936,0.0001076817,0.0000594279,0.000007033761],"category_scores_gemma":[0.000004847197,0.0001104174,0.00005884449,0.00007125286,0.000005122573,0.00008986791,0.00001197941,0.0001367691,0.00001124186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008198102,"about_ca_system_score_gemma":0.00000918737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":3.447209e-7,"about_ca_topic_score_gemma":3.455453e-8,"domain_scores_codex":[0.9992415,0.000008932875,0.0003814493,0.00007226479,0.0001341603,0.0001616592],"domain_scores_gemma":[0.999593,0.00007744804,0.00007891998,0.0001199735,0.00006495136,0.00006570231],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000006253069,0.000006535382,0.00001913852,0.0001450643,0.00004263561,6.549865e-7,0.0001887822,0.8359855,0.1631174,0.00000502596,0.00003527947,0.0004476775],"study_design_scores_gemma":[0.0005115264,0.00007077647,0.00008877368,0.0002269741,0.0000305408,0.0001022314,0.00002726318,0.9835085,0.01500928,0.00001783778,0.0003023967,0.0001038564],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5766503,0.000243958,0.4224418,0.00001634584,0.0004234729,0.0001349252,0.000002696556,0.00005760851,0.00002891768],"genre_scores_gemma":[0.9950544,0.00002364603,0.004654679,0.000006273403,0.0001698299,0.000003461176,0.000001622179,0.00003561143,0.00005051517],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4184041,"threshold_uncertainty_score":0.4502691,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","retraction":null,"screen_n_in":null,"score":{"opus":0.02167780682117686,"gpt":0.2049127829305496,"spread":0.1832349761093728,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002195213,0.0001189098,0.0001869638,0.00007412991,0.00005102127,0.00003097386,0.0001392169,0.0000403528,0.000003577401],"category_scores_gemma":[0.0001082017,0.00008510114,0.00004437593,0.00009826681,0.00001358088,0.0002724516,0.000009955776,0.0001194717,0.000002476314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007546071,"about_ca_system_score_gemma":0.00001912177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001678478,"about_ca_topic_score_gemma":2.261405e-7,"domain_scores_codex":[0.9991392,0.000006931652,0.0004578405,0.00005092905,0.0001522287,0.0001928913],"domain_scores_gemma":[0.999622,0.00003965335,0.0001066926,0.0001004669,0.000068124,0.00006303543],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001344536,0.00000177164,0.000002294052,0.00003601583,0.00001676995,0.000001786667,0.0001572081,0.4617024,0.5378429,0.00003599724,0.000005585387,0.000183843],"study_design_scores_gemma":[0.0002017225,0.00006703971,0.0002591068,0.0002824769,0.00001291215,0.00008111582,0.00005447359,0.00207259,0.9966552,0.000006994241,0.0002014833,0.0001048566],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925041,0.0001873208,0.003477134,0.00002142679,0.00367761,0.00003953525,0.000001368269,0.0000526086,0.00003895887],"genre_scores_gemma":[0.9976174,0.00007693777,0.001755318,0.000004096184,0.0004944449,0.000001031275,2.039513e-7,0.0000346442,0.00001590062],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4596298,"threshold_uncertainty_score":0.3470324,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Dalhousie University","funders":"","keywords":"Whale; Anatomy; Chemistry; Biology; Fishery","retraction":null,"screen_n_in":null,"score":{"opus":0.01461216911702401,"gpt":0.2096640328009889,"spread":0.1950518636839648,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003887514,0.0001062198,0.0002935572,0.00002445572,0.00005503121,0.000008635277,0.0001472665,0.00003405531,0.00003932765],"category_scores_gemma":[0.00008930747,0.00007464585,0.0001026501,0.0001320438,0.0002104428,0.0001107274,0.0001002931,0.0001466583,5.196382e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005433813,"about_ca_system_score_gemma":0.000004800141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002816119,"about_ca_topic_score_gemma":0.0001030868,"domain_scores_codex":[0.9989949,0.00002520807,0.000483116,0.00008248715,0.0002678995,0.0001463391],"domain_scores_gemma":[0.999453,0.0001095214,0.0002517924,0.0001129834,0.00003485209,0.00003782984],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002144342,0.0004323333,0.8944382,0.001109119,0.0004686502,0.00006150423,0.0005040424,0.02050429,0.05675797,0.01063418,0.01232814,0.002547118],"study_design_scores_gemma":[0.0004585796,0.0002821665,0.9861249,0.0001938101,0.00009937388,0.0001031889,0.00007450532,0.002661769,0.004625614,0.0008919311,0.0043352,0.0001489552],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958287,0.001677452,0.001304968,0.0001337926,0.00009892379,0.00007991702,0.000007141485,0.000005963241,0.0008631328],"genre_scores_gemma":[0.998692,0.0004663375,0.0007428401,0.00001219249,0.00006731391,5.116009e-7,6.645667e-7,0.000006000522,0.00001213013],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09168668,"threshold_uncertainty_score":0.3043969,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","retraction":null,"screen_n_in":null,"score":{"opus":0.02264226635600374,"gpt":0.2474107193959181,"spread":0.2247684530399144,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006245706,0.0000886415,0.0001493486,0.0002599673,0.00002583012,0.00005311883,0.0004158842,0.00005607283,0.0001257034],"category_scores_gemma":[0.0001291654,0.00007635256,0.00002572754,0.0002189822,0.00001031979,0.0004129735,0.00001762499,0.0003203535,0.00001867871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002763733,"about_ca_system_score_gemma":0.00007034099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000452438,"about_ca_topic_score_gemma":0.0002284665,"domain_scores_codex":[0.9989269,0.0000211722,0.0003416745,0.0001098102,0.0003647274,0.0002357287],"domain_scores_gemma":[0.9993696,0.0002477926,0.00008592912,0.0001763169,0.0000481079,0.00007225174],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001436959,0.00000978028,0.005869898,0.00003565994,0.000007153229,0.00008617088,0.00001937969,0.9900919,0.00142427,0.000001641946,0.0009417571,0.001498069],"study_design_scores_gemma":[0.0002562717,0.00006736958,0.01888357,0.00007638682,0.00001130209,0.00007032559,0.00002411983,0.9797888,0.0004844047,0.0001541211,0.000102871,0.00008048305],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6187545,0.0002104348,0.3799984,0.0001637904,0.0005266426,0.00006673119,0.00002655123,0.00001687966,0.0002360837],"genre_scores_gemma":[0.9907464,0.00003552758,0.00897485,0.0000192465,0.0001740718,3.836769e-8,0.000024303,0.000004369039,0.00002122298],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3719919,"threshold_uncertainty_score":0.3113567,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","retraction":null,"screen_n_in":null,"score":{"opus":0.0169616463061673,"gpt":0.1946157447285335,"spread":0.1776540984223662,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003920115,0.0001712551,0.0002807855,0.0002230058,0.00003480713,0.00009938073,0.000689275,0.0001134895,0.0000289225],"category_scores_gemma":[0.00001372473,0.000162989,0.00008110461,0.0001923512,0.00001319029,0.0003239373,0.00006050107,0.0006077199,0.00001617933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001775618,"about_ca_system_score_gemma":0.00001521031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004011319,"about_ca_topic_score_gemma":0.00001600473,"domain_scores_codex":[0.9987007,0.0000438211,0.000733336,0.00007657009,0.0001734154,0.000272144],"domain_scores_gemma":[0.9990669,0.00010595,0.000123818,0.0004948466,0.000108681,0.00009982651],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002484861,0.00001465749,0.0003272174,0.00003841591,0.00003903053,0.000004071782,0.0002421656,0.9766212,0.02189554,0.000005660479,0.0001036235,0.0007059074],"study_design_scores_gemma":[0.0004419992,0.00002370143,0.002404444,0.0003444684,0.00001470963,0.00007669049,0.0001342242,0.9934101,0.002679867,0.00004411043,0.0002431026,0.0001826605],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.511544,0.001175367,0.4867151,0.00008468979,0.0002370534,0.00009924638,2.953735e-7,0.0000699168,0.00007431303],"genre_scores_gemma":[0.9856464,0.0004052576,0.0136494,0.0000185503,0.0002065395,0.00000598041,0.000001285164,0.00005242302,0.00001415806],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4741024,"threshold_uncertainty_score":0.6646497,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","retraction":null,"screen_n_in":null,"score":{"opus":0.00963086803275984,"gpt":0.2005223250650177,"spread":0.1908914570322578,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006473605,0.0001350664,0.0002210418,0.00006569146,0.0001263554,0.00003349712,0.000206149,0.00005026242,0.00002622779],"category_scores_gemma":[0.00009452829,0.00007775507,0.0001173893,0.000249287,0.00004106645,0.0001015299,0.000006669998,0.0002146938,5.808969e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001882076,"about_ca_system_score_gemma":0.0001046185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007434237,"about_ca_topic_score_gemma":0.00007707399,"domain_scores_codex":[0.9987068,0.00003098171,0.0006700669,0.00009809576,0.0002852206,0.0002087987],"domain_scores_gemma":[0.9988257,0.0004130923,0.0004377555,0.0001368497,0.0001497143,0.00003687114],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0000891852,0.00003035622,0.005133773,0.0003033628,0.0001067736,0.000006127243,0.0008223399,0.9683577,0.02415331,0.00004766638,0.0001999008,0.0007495332],"study_design_scores_gemma":[0.003186757,0.0007113136,0.4211006,0.002458185,0.0001427502,0.0002646153,0.000594174,0.3982787,0.1703471,0.001361317,0.0007874766,0.0007671341],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955159,0.0001746161,0.002997162,0.00009119399,0.0009774403,0.0001339817,0.00003181447,0.000006554767,0.00007138022],"genre_scores_gemma":[0.9895155,0.000006533068,0.01024221,0.00001911145,0.0001480698,5.010444e-9,0.000002650839,0.000009497013,0.00005639595],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.570079,"threshold_uncertainty_score":0.317076,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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","retraction":null,"screen_n_in":null,"score":{"opus":0.0187358639746285,"gpt":0.2757479464422566,"spread":0.2570120824676281,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002627225,0.0001397985,0.0002258359,0.0001830469,0.00001592219,0.00001242674,0.0001450231,0.00004373011,0.00003034855],"category_scores_gemma":[0.00003037245,0.0001272682,0.00008280004,0.0001521915,0.000008457489,0.0004820858,0.00001107669,0.0002441565,0.000003362915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001268086,"about_ca_system_score_gemma":0.00002348219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":4.420574e-7,"about_ca_topic_score_gemma":1.596589e-8,"domain_scores_codex":[0.998849,0.00001314387,0.0004236499,0.00005425837,0.000345383,0.0003145482],"domain_scores_gemma":[0.9994322,0.00004410748,0.00006591484,0.0001018011,0.00006311609,0.0002928636],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001570231,0.0000928708,0.0002883723,0.00005264475,0.00004224921,0.000004943502,0.0002938337,0.9745753,0.02303764,0.00001868033,0.0001662679,0.00141146],"study_design_scores_gemma":[0.0006771004,0.0001963577,0.004360563,0.0001345944,0.00001538167,0.0000913621,0.00006191815,0.7220411,0.2696127,0.000005287496,0.002543814,0.0002598319],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9670185,0.002986723,0.0284187,0.000003142885,0.001399933,0.00003859196,0.000001290263,0.00004823137,0.00008486473],"genre_scores_gemma":[0.9973444,0.00004469569,0.001867718,0.000002328873,0.0007029029,4.374527e-7,0.000001636996,0.00003241195,0.000003473936],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2525342,"threshold_uncertainty_score":0.5189848,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","retraction":null,"screen_n_in":null,"score":{"opus":0.006291444532896708,"gpt":0.1885838952406739,"spread":0.1822924507077772,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005962791,0.00006109076,0.00008938957,0.00004995648,0.00003617025,0.00002136761,0.0002166662,0.0000196749,0.000007196587],"category_scores_gemma":[0.00009419374,0.00003242298,0.00003514352,0.0002046343,0.00001671377,0.0001108693,0.000004257762,0.0002042999,0.000002419736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000598876,"about_ca_system_score_gemma":0.00002933345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000925468,"about_ca_topic_score_gemma":0.0003464723,"domain_scores_codex":[0.9993421,0.00002168042,0.0002475273,0.00004102497,0.0002213066,0.0001263197],"domain_scores_gemma":[0.9994762,0.0002607429,0.0001105143,0.00008060936,0.0000450976,0.00002684459],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00003348841,0.000008876618,0.008575486,0.0000107785,0.000005849634,0.00002538575,0.0001319494,0.9845207,0.0004456255,0.00003299497,0.00001586229,0.006192992],"study_design_scores_gemma":[0.0002835454,0.0003588731,0.5272102,0.0001175949,0.00001470014,0.0002881679,0.0002036833,0.4704494,0.00009433336,0.0001287565,0.0007626876,0.00008811007],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975578,0.0001046164,0.001729963,0.0001196183,0.0002330784,0.00005060331,0.000001799499,0.000003564118,0.0001989269],"genre_scores_gemma":[0.9995511,0.0002279663,0.00006859835,0.00002237226,0.00009004646,8.774335e-8,6.489596e-7,0.000001893473,0.00003729744],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5186347,"threshold_uncertainty_score":0.1322171,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","retraction":null,"screen_n_in":null,"score":{"opus":0.01868855651137739,"gpt":0.2487190520333277,"spread":0.2300304955219503,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001186572,0.000172641,0.0002758813,0.000386926,0.00005144016,0.00007534034,0.0005000858,0.0001079997,0.0007998557],"category_scores_gemma":[0.0002531748,0.0001504276,0.00006918754,0.0003412478,0.00002909844,0.0003070963,0.00002100129,0.001192227,0.00005633226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004391947,"about_ca_system_score_gemma":0.0001371459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004780747,"about_ca_topic_score_gemma":0.001568181,"domain_scores_codex":[0.9981323,0.00003913666,0.0005229957,0.0001819074,0.0005952402,0.0005284486],"domain_scores_gemma":[0.9990007,0.0001970284,0.0001007749,0.0001860383,0.0001429179,0.0003724879],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00008979787,0.00007867446,0.09657105,0.0001355521,0.00006014404,0.0007482879,0.000848924,0.7239431,0.1561152,0.000005617497,0.0008749874,0.02052863],"study_design_scores_gemma":[0.0007478099,0.000220904,0.5060588,0.0001434421,0.00001390769,0.0004262216,0.00004537778,0.4848401,0.005938354,0.0001102536,0.001125182,0.0003296146],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9862663,0.0001509201,0.011828,0.0001557642,0.001119737,0.0001395233,0.00001859853,0.00002174124,0.0002993735],"genre_scores_gemma":[0.9790652,0.00005498954,0.02039935,0.00003472215,0.0003959092,3.718588e-7,0.000002252922,0.00001156302,0.00003559516],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4094878,"threshold_uncertainty_score":0.8757859,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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","retraction":null,"screen_n_in":null,"score":{"opus":0.01973043236358598,"gpt":0.2747051332451021,"spread":0.2549747008815161,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001021595,0.0001257742,0.0002052894,0.000287097,0.00008751942,0.00009332153,0.0003461092,0.00004144432,0.000002602259],"category_scores_gemma":[0.0001720381,0.0001169313,0.0001078293,0.0004605619,0.00000419644,0.0005133387,0.00003760519,0.000247086,0.0000060524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008233089,"about_ca_system_score_gemma":0.00006026619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":7.10925e-7,"about_ca_topic_score_gemma":1.797456e-7,"domain_scores_codex":[0.9989167,0.00002231233,0.0003732191,0.000146264,0.0002692965,0.000272216],"domain_scores_gemma":[0.9992084,0.0001854553,0.000260125,0.000113408,0.0001327066,0.0000999042],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000104136,0.00001097085,0.00001433705,0.00005318903,0.00004606841,0.00003928352,0.0003016034,0.877791,0.02889733,0.0001732275,0.0006684783,0.09199405],"study_design_scores_gemma":[0.0003368674,0.0001747628,0.0001573075,0.0001546096,0.00001571982,0.0001185766,0.00002460915,0.9309312,0.06682828,0.0004290307,0.0007056395,0.0001233904],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003127379,0.000107864,0.9951617,0.0003373714,0.001040267,0.00006723127,4.997908e-7,0.0001259029,0.00003180936],"genre_scores_gemma":[0.2005364,0.00001779683,0.798957,0.0000319721,0.0003948514,0.000002510079,6.572579e-7,0.0000171319,0.00004168466],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.197409,"threshold_uncertainty_score":0.4768322,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","retraction":null,"screen_n_in":null,"score":{"opus":0.01739404281214269,"gpt":0.2189703558327824,"spread":0.2015763130206397,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007977245,0.0001010503,0.0002479035,0.00009086239,0.00003151019,0.00001646264,0.0003228741,0.00004170094,4.520927e-7],"category_scores_gemma":[0.000009279394,0.00007789089,0.00008207619,0.00009653808,0.00001007386,0.0001290921,0.000005915451,0.00009919555,5.517377e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004655371,"about_ca_system_score_gemma":0.00001071654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002705244,"about_ca_topic_score_gemma":7.309838e-7,"domain_scores_codex":[0.9989768,0.00004195926,0.0006322291,0.00006039317,0.0001825565,0.0001060648],"domain_scores_gemma":[0.9990199,0.0001280206,0.0002745001,0.0003184386,0.0002019251,0.00005722911],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001204955,0.00001910274,0.00001366729,0.0001848846,0.00003986012,8.940723e-8,0.0002181908,0.7989917,0.1987293,0.0005808103,0.00000172628,0.001208584],"study_design_scores_gemma":[0.0005018185,0.0001498194,0.0002760223,0.00009726188,0.00005054831,0.00001792297,0.0001953427,0.9544405,0.04379296,0.000009436119,0.0003970498,0.00007130037],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3359863,0.0001634617,0.6634889,0.00001024634,0.0001519561,0.0001576548,0.00000263649,0.00002959797,0.000009299662],"genre_scores_gemma":[0.9979898,0.000008031343,0.001722145,0.000003219016,0.0002326983,0.000009873132,0.000001065983,0.00003206215,0.000001133797],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6620035,"threshold_uncertainty_score":0.3176298,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","retraction":null,"screen_n_in":null,"score":{"opus":0.009898503483813829,"gpt":0.2389037619042581,"spread":0.2290052584204443,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002568308,0.0001237445,0.0002129189,0.00009614781,0.00002389908,0.0000220833,0.0001930218,0.00005722944,0.000007964609],"category_scores_gemma":[0.00001137385,0.00009321439,0.00009033266,0.00008693729,0.000006050345,0.0001655566,0.000007101481,0.00008982561,0.000002471897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001382305,"about_ca_system_score_gemma":0.00001334198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000119581,"about_ca_topic_score_gemma":6.113339e-7,"domain_scores_codex":[0.9991952,0.00002279113,0.0004095927,0.00006695331,0.0001319554,0.0001735516],"domain_scores_gemma":[0.9993764,0.0002049693,0.0001082287,0.0001227306,0.0001012427,0.00008649328],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000380226,0.0000380558,0.00004343091,0.0003260917,0.0003532805,0.000005851736,0.0009457158,0.1430071,0.7855979,0.0001301106,0.002822009,0.06669247],"study_design_scores_gemma":[0.001427524,0.0001079783,0.00004865155,0.000405087,0.00004682237,0.0001147743,0.00009793323,0.742135,0.189433,0.0001687687,0.06574994,0.0002644313],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003888252,0.000465141,0.9951814,0.0000731667,0.0001831808,0.0001045642,0.00001594107,0.00006347504,0.00002482145],"genre_scores_gemma":[0.9379371,0.0001237973,0.06167021,0.00001527691,0.0001352064,0.000006561337,0.000001011607,0.00004916119,0.00006165995],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9340489,"threshold_uncertainty_score":0.3801173,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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","retraction":null,"screen_n_in":null,"score":{"opus":0.009584769764797907,"gpt":0.2116319691738185,"spread":0.2020471994090206,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004312377,0.0002575178,0.000318343,0.0001263538,0.0001104344,0.0001176307,0.0001890346,0.0001224381,0.000004861333],"category_scores_gemma":[0.00005148247,0.0001791865,0.0001009177,0.0001712378,0.00001791872,0.001038552,0.000006504556,0.0002097528,0.000001262658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002124174,"about_ca_system_score_gemma":0.00006935754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001920263,"about_ca_topic_score_gemma":0.000004150131,"domain_scores_codex":[0.9986062,0.00001031123,0.0005752288,0.0001715609,0.0003044951,0.0003322096],"domain_scores_gemma":[0.9991182,0.00006472965,0.0002039325,0.0001625875,0.0002887888,0.0001617291],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007111987,0.00001982998,0.0001782208,0.0003033516,0.00007308197,0.000006538088,0.0002334942,0.9725447,0.02496708,0.00002971403,0.0002629477,0.001309917],"study_design_scores_gemma":[0.00123594,0.0002961907,0.000228129,0.0006932679,0.0000375301,0.0002548302,0.00003814093,0.9882948,0.007755529,0.00004282707,0.0008178152,0.0003049434],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3620507,0.0002047987,0.6369266,0.00001669076,0.0005514086,0.0001213188,0.000003560268,0.0001083415,0.00001658631],"genre_scores_gemma":[0.9781096,0.00002701524,0.02063556,0.000006212941,0.0009392553,0.000003931856,8.654021e-7,0.000117423,0.0001601251],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.616291,"threshold_uncertainty_score":0.7307013,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","retraction":null,"screen_n_in":null,"score":{"opus":0.03073451400958669,"gpt":0.243822333219043,"spread":0.2130878192094563,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006550904,0.0001139991,0.0003163963,0.0002726915,0.00002782054,0.00001695646,0.00028365,0.00006823433,0.0003223258],"category_scores_gemma":[0.0002676159,0.00009371334,0.0001252197,0.0001828505,0.00003031473,0.0001897886,0.00001157483,0.0002418516,0.000006138422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001310464,"about_ca_system_score_gemma":0.0002378205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003256036,"about_ca_topic_score_gemma":0.000004051724,"domain_scores_codex":[0.9987565,0.00002653642,0.000450975,0.00009684415,0.0003999673,0.0002691611],"domain_scores_gemma":[0.9986587,0.0005048024,0.0002284625,0.0001419468,0.000250175,0.000215971],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001560549,0.00004329692,0.02282663,0.0007605771,0.0001383948,0.00001896381,0.0002618165,0.8259068,0.14898,0.000006020819,0.0004119073,0.0004895394],"study_design_scores_gemma":[0.001181726,0.0007019145,0.02356475,0.0002835475,0.00007858662,0.00006766322,0.0002086021,0.9348388,0.03869349,0.0000954023,0.0001083911,0.0001771836],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9584828,0.0001479292,0.04035073,0.00003685765,0.0004787587,0.0002315671,0.0001033544,0.000008693957,0.0001593077],"genre_scores_gemma":[0.9935464,0.00005084631,0.006179716,0.000008682571,0.00009916438,2.37143e-7,0.000006666457,0.000008265803,0.0001000615],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1102865,"threshold_uncertainty_score":0.3821519,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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)","retraction":null,"screen_n_in":null,"score":{"opus":0.01697095442312304,"gpt":0.2482092265972617,"spread":0.2312382721741387,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005994554,0.00009965522,0.0003079714,0.0007404626,0.00002520907,0.00003240442,0.0003287148,0.00004904189,0.0006663759],"category_scores_gemma":[0.00009440703,0.00008099841,0.000188058,0.000762153,0.00001810264,0.0003121451,0.000007449083,0.0002839178,0.00001614784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001735376,"about_ca_system_score_gemma":0.0000621863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002332541,"about_ca_topic_score_gemma":0.00002338703,"domain_scores_codex":[0.9986685,0.00002155812,0.000455313,0.0000872028,0.000517224,0.000250236],"domain_scores_gemma":[0.999109,0.0003179005,0.0001738362,0.0001233157,0.0001229855,0.0001529148],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001264707,0.0000145868,0.02221364,0.00001878561,0.0004584626,0.0000267975,0.0001144834,0.9647422,0.003553415,0.00000156201,0.000114835,0.008728525],"study_design_scores_gemma":[0.0001973087,0.00009613977,0.07732181,0.00002671135,0.0002685795,0.00005382269,0.00003405951,0.9161415,0.004698331,0.000005614148,0.001055655,0.0001005522],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9011187,0.0008689507,0.09733488,0.00007214046,0.0002051561,0.00003505723,0.0000232567,0.0000114755,0.0003303968],"genre_scores_gemma":[0.9882964,0.0002015414,0.01116001,0.00001589266,0.0002760138,2.678187e-8,0.00000292093,0.000004675828,0.00004244562],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08717778,"threshold_uncertainty_score":0.7296348,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","retraction":null,"screen_n_in":null,"score":{"opus":0.02284507403435611,"gpt":0.2209421017696725,"spread":0.1980970277353164,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000315611,0.0001233135,0.0001647095,0.00004810234,0.00007018917,0.00005069656,0.00007809914,0.00003156369,0.00001389744],"category_scores_gemma":[0.0001732167,0.0001003741,0.00004342087,0.00005743222,0.00003745842,0.000298777,0.0000422195,0.0001957543,0.000002482195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007302111,"about_ca_system_score_gemma":0.000006733302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004266933,"about_ca_topic_score_gemma":4.848004e-7,"domain_scores_codex":[0.9992036,0.000009538468,0.0002687642,0.000138427,0.000155441,0.0002242612],"domain_scores_gemma":[0.9995962,0.00006557356,0.0001277182,0.00005270808,0.00002462509,0.0001331941],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002461749,0.0000554599,0.001678774,0.000105093,0.00002362802,0.000009061574,0.000278301,0.8920815,0.05145162,0.000007689049,0.0007546924,0.05352956],"study_design_scores_gemma":[0.0003265741,0.0001457267,0.001889502,0.00008100877,0.00002091595,0.0002874785,0.000002614241,0.9954073,0.001300062,0.0002596296,0.0001639143,0.0001152704],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9256088,0.0001471856,0.07373521,0.0000659596,0.0002250467,0.0001606606,0.000001522102,0.00002363716,0.00003205038],"genre_scores_gemma":[0.9802094,0.00002696043,0.01957992,0.00001600467,0.0001200083,0.000002875984,2.675589e-7,0.00001691542,0.00002767399],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1033258,"threshold_uncertainty_score":0.4093138,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","retraction":null,"screen_n_in":null,"score":{"opus":0.02312595739911993,"gpt":0.255897183364982,"spread":0.2327712259658621,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002474605,0.0002139957,0.0003628064,0.0001748962,0.00003760455,0.0001015559,0.000422778,0.0002066706,0.0000151778],"category_scores_gemma":[0.0003547978,0.0002122165,0.0001368627,0.0002497672,0.00002291665,0.0002935456,0.0000543589,0.0004207434,0.000006624703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001810686,"about_ca_system_score_gemma":0.00003844959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":1.734895e-7,"about_ca_topic_score_gemma":4.329462e-7,"domain_scores_codex":[0.9985819,0.00002114745,0.000614979,0.0001605161,0.0002543885,0.0003670129],"domain_scores_gemma":[0.9987534,0.0003342766,0.00003717521,0.0004146039,0.0002319201,0.0002286044],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002263944,0.00004559596,0.00002394438,0.00007954427,0.0001203887,0.0000196873,0.00007279249,0.9247916,0.06627295,0.0006232045,0.0001222874,0.007805303],"study_design_scores_gemma":[0.0004389488,0.000187084,0.00009529549,0.0001244871,0.00003846202,0.00006921394,0.0000410766,0.693901,0.304339,0.00009097357,0.0004460594,0.0002284281],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2937295,0.0002083337,0.7045836,0.0005812949,0.0005297647,0.0001131677,0.000002929164,0.00020822,0.00004324157],"genre_scores_gemma":[0.8168898,0.000153775,0.1825851,0.00005267059,0.0002303788,0.000008288485,0.000004373637,0.00006850212,0.000007069417],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5231603,"threshold_uncertainty_score":0.8653936,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","retraction":null,"screen_n_in":null,"score":{"opus":0.01380911037337234,"gpt":0.219723203154396,"spread":0.2059140927810237,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000395092,0.000139144,0.0002136293,0.0002085282,0.00007363596,0.00009776392,0.0001859881,0.00006229072,0.00006178767],"category_scores_gemma":[0.00005819202,0.0001120934,0.00008524195,0.0001145736,0.00002790417,0.0002490496,0.000006183669,0.000323551,0.000003429722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002751511,"about_ca_system_score_gemma":0.00009245974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005345857,"about_ca_topic_score_gemma":0.00004853063,"domain_scores_codex":[0.9989402,0.00001237217,0.0002675503,0.0001221517,0.0003053577,0.0003523187],"domain_scores_gemma":[0.9993583,0.0001883478,0.0000774238,0.0000780691,0.00008668435,0.0002111757],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001049373,0.00001932999,0.004104111,0.0001912353,0.0001327434,0.0001988878,0.0003958962,0.9528723,0.03191279,0.000007392082,0.0003017507,0.009758612],"study_design_scores_gemma":[0.007131324,0.00277447,0.3725861,0.000869002,0.0002551913,0.007759888,0.0004546452,0.4786031,0.1234151,0.001841743,0.002738637,0.001570847],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9029466,0.001560265,0.09448484,0.0001245407,0.0006237816,0.0001317528,0.00003039157,0.00002416261,0.00007366337],"genre_scores_gemma":[0.9846399,0.0001450081,0.01468241,0.00002263724,0.0004711004,2.514896e-7,0.000001885959,0.00001161819,0.00002513828],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4742692,"threshold_uncertainty_score":0.4571038,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","retraction":null,"screen_n_in":null,"score":{"opus":0.03092191684498798,"gpt":0.2529473304143789,"spread":0.222025413569391,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002932973,0.0001623824,0.0003150466,0.0001397739,0.00006223279,0.00008678597,0.0004825238,0.0001476821,0.00000224507],"category_scores_gemma":[0.0001712952,0.0001666863,0.0001072586,0.000148799,0.00004084924,0.0002708631,0.00009432924,0.000526405,0.000001032151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000845105,"about_ca_system_score_gemma":0.00002825161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":2.075433e-7,"about_ca_topic_score_gemma":6.610529e-7,"domain_scores_codex":[0.9989608,0.00001447736,0.0005429771,0.0001002874,0.0001416792,0.0002397827],"domain_scores_gemma":[0.9987748,0.0003169525,0.00005810446,0.0005304689,0.000231988,0.00008773835],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001354749,0.00006771334,0.00005251364,0.000480571,0.000374667,0.00003630345,0.000293224,0.7357175,0.20041,0.012875,0.00009409138,0.04958489],"study_design_scores_gemma":[0.0003733057,0.00002870847,0.0000325038,0.0002516291,0.00003870691,0.0001580329,0.0001744488,0.9332802,0.06435596,0.0004915512,0.0006317091,0.0001832689],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2662906,0.01233829,0.7198638,0.0008376815,0.0002719526,0.00009046753,0.000003179637,0.00023075,0.00007332206],"genre_scores_gemma":[0.883341,0.004301199,0.1121818,0.00001620938,0.00009919207,0.000004766457,0.000002081038,0.00004968671,0.00000408286],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6170503,"threshold_uncertainty_score":0.679727,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","retraction":null,"screen_n_in":null,"score":{"opus":0.01545596949996978,"gpt":0.2194822133658426,"spread":0.2040262438658728,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003704592,0.0001289707,0.0002512522,0.0001683625,0.00007068566,0.00002599237,0.0001394983,0.00003352291,0.00001404014],"category_scores_gemma":[0.000009832575,0.0001373868,0.00006007204,0.0001795205,0.000008829479,0.00008628966,0.00004552253,0.000212758,4.615031e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001328319,"about_ca_system_score_gemma":0.00003908216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006281596,"about_ca_topic_score_gemma":0.000005714513,"domain_scores_codex":[0.9988791,0.00005542775,0.0005280621,0.00007916465,0.0003161599,0.0001420922],"domain_scores_gemma":[0.9994587,0.00006117547,0.0001644525,0.0001287218,0.000118454,0.00006851646],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002337732,0.00001817682,0.0002096256,0.00004912611,0.00007562548,0.00001648331,0.0004435959,0.8401988,0.1579654,0.00001653612,0.00002433406,0.0009589759],"study_design_scores_gemma":[0.0009744429,0.0002104996,0.002142789,0.00008064872,0.00003637527,0.0004093549,0.0002759459,0.861921,0.1327179,0.00004598458,0.0009364519,0.000248574],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9329304,0.0004366565,0.06596681,0.00007775226,0.0004340213,0.00008995205,0.000008627884,0.00003880567,0.000017026],"genre_scores_gemma":[0.9966294,0.00006701919,0.003135408,0.00001148138,0.0001130864,0.000002147901,0.000004379885,0.00003129228,0.000005842735],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06369899,"threshold_uncertainty_score":0.5602471,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","retraction":null,"screen_n_in":null,"score":{"opus":0.00781213006068854,"gpt":0.2186301857761763,"spread":0.2108180557154878,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001894833,0.000115068,0.0002114549,0.0001432299,0.00002775222,0.00004574613,0.0001007204,0.00002559275,0.00005510253],"category_scores_gemma":[0.000139627,0.0001018397,0.00009576267,0.0002274766,0.00001723874,0.0005804524,0.000006510702,0.0001332709,0.000007337427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001211429,"about_ca_system_score_gemma":0.00006803339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002420794,"about_ca_topic_score_gemma":0.000005059486,"domain_scores_codex":[0.9991768,0.00001951236,0.0003485926,0.00008202263,0.0002026395,0.0001704117],"domain_scores_gemma":[0.9994541,0.00009309706,0.0001820142,0.00006126233,0.0001202408,0.00008925654],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009195993,0.0000872993,0.03276313,0.0001295589,0.00009144619,0.0001075811,0.0002788789,0.9379256,0.02003314,0.001081205,0.00005654333,0.007353686],"study_design_scores_gemma":[0.0002637666,0.00008283028,0.007034911,0.000119349,0.00002233804,0.0001742813,0.00004274336,0.9907284,0.001087282,0.0001405176,0.0001632359,0.0001403421],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9114224,0.0000894456,0.08757057,0.000006417769,0.0003855005,0.00005299089,0.00002018525,0.00001088197,0.0004416406],"genre_scores_gemma":[0.997414,0.0000148153,0.002443527,0.000007623834,0.000078842,3.573169e-8,0.000007603448,0.000007279883,0.00002628319],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08599162,"threshold_uncertainty_score":0.4152901,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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)","retraction":null,"screen_n_in":null,"score":{"opus":0.02426763993078412,"gpt":0.2470530523776784,"spread":0.2227854124468943,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006592771,0.0001101617,0.0002329633,0.0001877149,0.00003642032,0.00003390121,0.0002244003,0.00004238165,0.00002171398],"category_scores_gemma":[0.00008262642,0.00009350038,0.0000848456,0.0002435665,0.00002191581,0.0002102623,0.000006126242,0.0003084227,8.675584e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003817347,"about_ca_system_score_gemma":0.0001245766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009741361,"about_ca_topic_score_gemma":0.000204759,"domain_scores_codex":[0.9988059,0.00002305031,0.0004111071,0.0001008334,0.0002878939,0.0003712167],"domain_scores_gemma":[0.999347,0.0002480196,0.0001535527,0.00006256057,0.00008686646,0.0001020224],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003100474,0.000007508199,0.007210778,0.00008711632,0.00001626633,0.00004295044,0.0001958948,0.9793999,0.009754776,8.034252e-7,0.00001326803,0.003239792],"study_design_scores_gemma":[0.00196394,0.001608196,0.05458258,0.001041947,0.00004291673,0.0005976133,0.0003333397,0.8725109,0.06612686,0.0007258914,0.00005404365,0.0004117927],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9616227,0.0012309,0.03634754,0.00003579819,0.0006038315,0.0001111691,0.00001272485,0.000009927451,0.00002546263],"genre_scores_gemma":[0.9780086,0.00008090719,0.02150327,0.000005850908,0.00039073,2.828937e-7,0.00000105757,0.000006802362,0.000002551791],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.106889,"threshold_uncertainty_score":0.3812835,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","retraction":null,"screen_n_in":null,"score":{"opus":0.06534298702318453,"gpt":0.2825191748290369,"spread":0.2171761878058523,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007624686,0.000120742,0.0001224006,0.00007101846,0.0001785855,0.0002748082,0.0004619948,0.00005044889,0.0005558503],"category_scores_gemma":[0.00009614812,0.00007099637,0.00003606911,0.0001140382,0.00002283125,0.000756839,0.00001610356,0.0004160002,0.00003642618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006536095,"about_ca_system_score_gemma":0.0001074227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006562335,"about_ca_topic_score_gemma":0.00001711893,"domain_scores_codex":[0.9987192,0.00007579985,0.0003495704,0.0001421105,0.0005005996,0.0002127302],"domain_scores_gemma":[0.9989343,0.0004589434,0.0001649318,0.000320977,0.00005505659,0.00006574343],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004687466,0.00001968506,0.0005502705,0.000005691381,0.00005950357,0.00001487742,0.0002605643,0.7965555,0.1990258,7.197743e-7,0.0004450335,0.003015447],"study_design_scores_gemma":[0.0001364189,0.00005432032,0.01567174,0.00007187355,0.00003315787,0.00007858527,0.00003430893,0.974629,0.007110577,0.00001031143,0.002080278,0.00008937882],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7675647,0.0002210639,0.2306538,0.000590369,0.0007273285,0.0001248236,0.00007794846,0.000009651478,0.00003040905],"genre_scores_gemma":[0.9947762,0.0001158994,0.003559612,0.0001531918,0.001289873,2.092593e-7,0.00006378086,0.000008927599,0.00003226869],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2272116,"threshold_uncertainty_score":0.6086171,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","retraction":null,"screen_n_in":null,"score":{"opus":0.01863404285840038,"gpt":0.2211291575260004,"spread":0.2024951146676,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006061109,0.0001655019,0.0002694426,0.0001436962,0.00008169272,0.00005948725,0.0003373962,0.0001023104,0.000004070434],"category_scores_gemma":[0.00001537351,0.0001602215,0.0001273693,0.0001275032,0.00001251595,0.0002003612,0.00002115323,0.000362163,0.000003106642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001603606,"about_ca_system_score_gemma":0.00001070516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001890059,"about_ca_topic_score_gemma":0.000002818768,"domain_scores_codex":[0.9989769,0.00003815728,0.0005342977,0.00007823902,0.0001417577,0.0002306208],"domain_scores_gemma":[0.9990724,0.0002506092,0.0001597392,0.0002719625,0.0001605106,0.00008481251],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001332793,0.00001056667,0.00003116453,0.00004859472,0.00009136333,3.756827e-7,0.0001772008,0.9710218,0.02650899,0.0000794463,0.0005933291,0.001423824],"study_design_scores_gemma":[0.0004467883,0.00008158078,0.0001239779,0.0002771317,0.0000367801,0.00006606813,0.0001309059,0.9888358,0.006803839,0.00004750358,0.002976167,0.0001735147],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03501492,0.0005098287,0.9631557,0.00003532269,0.0008820216,0.0001185715,8.375764e-7,0.0001203363,0.0001624719],"genre_scores_gemma":[0.9864612,0.0001316144,0.01286922,0.0000191809,0.0004064324,0.000007722532,0.000002223166,0.00005729207,0.00004513125],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9514462,"threshold_uncertainty_score":0.6533643,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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","retraction":null,"screen_n_in":null,"score":{"opus":0.02529226198245606,"gpt":0.2260633036268279,"spread":0.2007710416443719,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006380483,0.0001289188,0.0002099755,0.00004520196,0.0001821148,0.00006502575,0.0001029286,0.00006681366,0.000005065821],"category_scores_gemma":[0.0001646546,0.00009349776,0.0001318927,0.0002027406,0.0000220757,0.0004387795,0.000006224462,0.000258543,4.190656e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001651727,"about_ca_system_score_gemma":0.00004726553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004433342,"about_ca_topic_score_gemma":0.00001273854,"domain_scores_codex":[0.9989588,0.00001414943,0.0005478412,0.0001114079,0.0001909191,0.0001768308],"domain_scores_gemma":[0.9989429,0.0002485769,0.000480428,0.00007262208,0.0001577865,0.00009768317],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000040848,0.000002875456,0.0007156357,0.00008980238,0.00003037421,0.00003161886,0.000512163,0.9924563,0.004105028,0.00001156364,0.00002636984,0.001977406],"study_design_scores_gemma":[0.0003747046,0.0001460044,0.0007179604,0.00007149923,0.00003759821,0.0006830952,0.0003973971,0.9944159,0.002977835,0.00006307234,0.0000130314,0.0001018941],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.856718,0.0002046698,0.1421784,0.00009362475,0.0006295043,0.0001164602,0.0000167596,0.00001664615,0.00002592319],"genre_scores_gemma":[0.9812997,0.00001918903,0.01792346,0.00002524425,0.0007138051,9.954026e-10,0.000003670957,0.00001043566,0.000004492037],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1245817,"threshold_uncertainty_score":0.3812728,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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","retraction":null,"screen_n_in":null,"score":{"opus":0.02221150548393173,"gpt":0.2463459002737722,"spread":0.2241343947898405,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001846129,0.0001025842,0.0002361045,0.0002048737,0.00002423134,0.00001302632,0.00008974201,0.00005651638,0.00002802392],"category_scores_gemma":[0.00005430164,0.0000968282,0.000106389,0.0001047849,0.00001580833,0.0002475577,0.000004919198,0.0001099067,0.000002106462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008485725,"about_ca_system_score_gemma":0.00001466337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001159998,"about_ca_topic_score_gemma":0.000002099443,"domain_scores_codex":[0.9992644,0.000007244148,0.0004105247,0.00005862142,0.0001432452,0.0001160149],"domain_scores_gemma":[0.9993901,0.00005113249,0.0001462947,0.00008135831,0.0002829744,0.00004815551],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005440284,0.00003426214,0.0000542767,0.0001629104,0.0004630007,0.000002338459,0.001250107,0.9064136,0.0801257,0.0006220986,0.0006845139,0.01013278],"study_design_scores_gemma":[0.0003886538,0.0001318913,0.001053999,0.00007169376,0.00006438549,0.00001451095,0.0001461958,0.9475802,0.05011837,0.0001018674,0.0002289174,0.00009928474],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0837767,0.00005823858,0.9151524,0.0000236256,0.0005620911,0.0000612403,0.000008903972,0.00003877648,0.0003180018],"genre_scores_gemma":[0.9867347,0.00004722235,0.01285011,0.00000612575,0.0003168003,0.000001138099,0.000003760697,0.00001814776,0.00002198242],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.902958,"threshold_uncertainty_score":0.3948539,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"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","retraction":null,"screen_n_in":null,"score":{"opus":0.0268492852182713,"gpt":0.2340643485879628,"spread":0.2072150633696915,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000399353,0.0001853076,0.0002918495,0.0001696873,0.00006263731,0.00006905217,0.0003669686,0.00008483323,0.000004093101],"category_scores_gemma":[0.000008410437,0.0001864384,0.0001322258,0.0001725712,0.000005780841,0.0001799984,0.00002072436,0.0002760341,0.00000262882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001844413,"about_ca_system_score_gemma":0.00002434634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":6.611799e-7,"about_ca_topic_score_gemma":3.142059e-7,"domain_scores_codex":[0.9987453,0.000008389189,0.0006684935,0.00008718125,0.0001541275,0.0003364642],"domain_scores_gemma":[0.9993594,0.0001052812,0.0001246925,0.0001742408,0.0001138631,0.000122532],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000008481046,0.00001076236,0.0003858874,0.00005736941,0.0001353514,0.000008107525,0.0001768442,0.9869504,0.007928031,0.00003294772,0.000123425,0.004182377],"study_design_scores_gemma":[0.001077147,0.00007133161,0.00126538,0.0004399896,0.00004874492,0.0005662231,0.0001166491,0.923346,0.009473183,0.00004301879,0.06307766,0.0004746076],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2758849,0.001158853,0.7218211,0.00001776471,0.0007761894,0.00009612731,8.740639e-7,0.0001297025,0.0001145247],"genre_scores_gemma":[0.9778777,0.0003385726,0.02107147,0.00001535339,0.0005784078,0.00000295734,0.00000111692,0.00006775863,0.00004664367],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7019929,"threshold_uncertainty_score":0.7602739,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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","retraction":null,"screen_n_in":null,"score":{"opus":0.01732608067920715,"gpt":0.2264360170505886,"spread":0.2091099363713814,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007622821,0.0002504889,0.000349044,0.0001255615,0.000502839,0.0003949187,0.0003217559,0.0001316574,0.00002157501],"category_scores_gemma":[0.0001760057,0.0002134562,0.000148874,0.0001169129,0.00006587924,0.001583678,0.00001304689,0.0005503657,0.000007520135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005346372,"about_ca_system_score_gemma":0.000111456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002973494,"about_ca_topic_score_gemma":0.00004120406,"domain_scores_codex":[0.9982425,0.00002061571,0.0006992153,0.0002035243,0.0004518001,0.0003823266],"domain_scores_gemma":[0.998363,0.00007184655,0.0008661998,0.0003098245,0.0001776894,0.0002114935],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001871501,0.00001290732,0.01257732,0.00008916665,0.00005422133,0.0001835157,0.0001777492,0.977038,0.008469788,0.00008863003,0.00003910739,0.001250899],"study_design_scores_gemma":[0.0006379492,0.0001582958,0.05040653,0.0002701939,0.00004467523,0.0006938464,0.00005452399,0.94358,0.001883466,0.001951585,0.000005773064,0.0003131881],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9856638,0.0002388716,0.01059113,0.00009302276,0.002814716,0.00008829379,0.00002036835,0.00004301508,0.0004468204],"genre_scores_gemma":[0.967329,0.00008300158,0.03166867,0.0000160794,0.0008237219,1.436862e-9,0.000007337856,0.00001943516,0.00005281116],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03782922,"threshold_uncertainty_score":0.8704492,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","retraction":null,"screen_n_in":null,"score":{"opus":0.04296874579190983,"gpt":0.3030930073373793,"spread":0.2601242615454695,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000841767,0.00009599554,0.0001368381,0.0001053677,0.0001204076,0.0003179446,0.0004956097,0.00003859888,0.00001464978],"category_scores_gemma":[0.0001685096,0.00007039732,0.0000134179,0.00003930888,0.00001769191,0.001079618,0.00003474383,0.0002396721,0.000001174945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001115803,"about_ca_system_score_gemma":0.00003892201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000652087,"about_ca_topic_score_gemma":0.00004695235,"domain_scores_codex":[0.9991097,0.00003354577,0.0002503218,0.0001373022,0.0002887205,0.0001804168],"domain_scores_gemma":[0.9994513,0.00006457711,0.00006805479,0.0002899826,0.00002824232,0.00009784539],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006444223,0.00001290379,0.006337427,0.00002943883,0.00002260626,0.00002831974,0.003101968,0.9259434,0.06341539,0.000001845018,0.00051396,0.0005282902],"study_design_scores_gemma":[0.0002514482,0.00008188769,0.004750966,0.00006881142,0.000006311964,0.00006606846,0.00007098094,0.9871769,0.007263751,0.0001127013,0.00006225612,0.00008794911],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3389366,0.000261126,0.6598073,0.0003789549,0.0002070992,0.0001497521,0.00004454915,0.000004675866,0.0002099587],"genre_scores_gemma":[0.9196945,0.00009034784,0.08000281,0.00006131369,0.0001206984,3.097609e-7,0.000009733023,0.000004100917,0.00001616865],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5807579,"threshold_uncertainty_score":0.3065947,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","retraction":null,"screen_n_in":null,"score":{"opus":0.009050428513323121,"gpt":0.2188454992920872,"spread":0.209795070778764,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007647178,0.0001107352,0.000143862,0.0001395073,0.0000709422,0.00005947025,0.000344391,0.00003621246,0.0002693496],"category_scores_gemma":[0.00006967811,0.00004834487,0.00005506429,0.0001678397,0.00004011102,0.0002655445,0.000009187904,0.000256086,0.00002939327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001901093,"about_ca_system_score_gemma":0.000065414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001877632,"about_ca_topic_score_gemma":0.00001101405,"domain_scores_codex":[0.998907,0.00005352526,0.0001905531,0.00009582508,0.0004594076,0.0002937385],"domain_scores_gemma":[0.9989991,0.0005155702,0.00009510855,0.0001341343,0.0001015967,0.0001544465],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001036497,0.00001185811,0.002530526,0.00005342228,0.0001243177,0.0002187386,0.0002856935,0.9009626,0.07157534,0.000002976926,0.002280008,0.02185091],"study_design_scores_gemma":[0.0008113117,0.0004292438,0.005381631,0.00019192,0.00007402636,0.0008550583,0.0001742252,0.9790664,0.01030249,0.00005479388,0.002440133,0.0002188239],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04655793,0.00007383111,0.9522834,0.0006753712,0.0001751559,0.00004935798,0.000004334174,0.0000151703,0.0001654001],"genre_scores_gemma":[0.9716634,0.00003984441,0.02776942,0.00003808059,0.000266192,7.380454e-8,2.809054e-7,0.000008770759,0.0002139123],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9251055,"threshold_uncertainty_score":0.2949189,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","retraction":null,"screen_n_in":null,"score":{"opus":0.04893566774290115,"gpt":0.2366881311905648,"spread":0.1877524634476637,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004866977,0.0001279103,0.0002458779,0.0002591213,0.00003753532,0.00002096038,0.0001936374,0.00007198915,0.0003803145],"category_scores_gemma":[0.00008267623,0.0001016918,0.0001228077,0.000143885,0.00003456329,0.0002667876,0.00001377461,0.000243539,0.000007030296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002234773,"about_ca_system_score_gemma":0.00006360353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003680687,"about_ca_topic_score_gemma":0.000004660629,"domain_scores_codex":[0.9988329,0.00002503935,0.0003917635,0.0001145882,0.0003475918,0.0002881469],"domain_scores_gemma":[0.9992647,0.00012831,0.0001559208,0.0001126086,0.0001617073,0.0001767354],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001910112,0.0002519597,0.03325513,0.001755356,0.0006871555,0.0003416612,0.006981259,0.4776294,0.4570157,0.0000229098,0.003915305,0.01623406],"study_design_scores_gemma":[0.0005350888,0.0006399023,0.006174427,0.0001880365,0.00003453558,0.00009070617,0.0001959952,0.8428608,0.1489931,0.00009063049,0.00006902539,0.0001278524],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.70597,0.0001902644,0.2924925,0.00003870414,0.0007073221,0.0002089985,0.00003012138,0.00001493745,0.0003470876],"genre_scores_gemma":[0.977544,0.00006110274,0.02215989,0.000006601568,0.0001520372,8.499881e-8,0.000003391507,0.00000975459,0.00006316421],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3652313,"threshold_uncertainty_score":0.4164177,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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)","retraction":null,"screen_n_in":null,"score":{"opus":0.01903371959551507,"gpt":0.2283380132338868,"spread":0.2093042936383718,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001187785,0.00007977214,0.0001523407,0.0002498988,0.00001377953,0.00002007662,0.0001932759,0.000043314,0.0002449313],"category_scores_gemma":[0.0001103473,0.00006725323,0.00004363449,0.0001573879,0.00001543416,0.0001669175,0.000006777144,0.0003890317,0.000007329462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002659683,"about_ca_system_score_gemma":0.00008834171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007320863,"about_ca_topic_score_gemma":0.0002391825,"domain_scores_codex":[0.9986501,0.00001662736,0.0004006504,0.00006989854,0.0006699178,0.0001927547],"domain_scores_gemma":[0.999464,0.00004832136,0.0001163127,0.00009525139,0.0001849294,0.00009115528],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00002743591,0.00004856891,0.2183905,0.0001408098,0.00004799433,0.00006072654,0.0001580455,0.45606,0.3222658,0.000009473405,0.00003271387,0.002757954],"study_design_scores_gemma":[0.00134613,0.0004060607,0.6549571,0.0002575943,0.00003020748,0.0001882345,0.00005207995,0.2799158,0.06163048,0.0009028845,0.00005125275,0.0002621228],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9844349,0.00007019449,0.01444404,0.00005498561,0.0007080696,0.00006397707,0.000002457538,0.000004588394,0.0002167835],"genre_scores_gemma":[0.9946815,0.00002060454,0.005108566,0.0000053978,0.0001735127,9.973125e-8,0.000001020188,0.000004084728,0.000005240191],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4365667,"threshold_uncertainty_score":0.2742507,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","retraction":null,"screen_n_in":null,"score":{"opus":0.06629468194633485,"gpt":0.2650523394604178,"spread":0.198757657514083,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007612276,0.0001508355,0.0002535475,0.0002715404,0.00004668006,0.00004572996,0.0003155798,0.00008115802,0.0002146951],"category_scores_gemma":[0.000183189,0.0001213755,0.00006543026,0.0003183945,0.00002616294,0.0005349569,0.000008390812,0.0003979576,0.00001249554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003871838,"about_ca_system_score_gemma":0.0001422942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006204815,"about_ca_topic_score_gemma":0.0000368525,"domain_scores_codex":[0.9985476,0.00005461665,0.0004524851,0.0001638714,0.0004350591,0.0003463634],"domain_scores_gemma":[0.9991471,0.0002794648,0.0001565924,0.0001135595,0.0001575645,0.0001457651],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003087191,0.0001068922,0.04362087,0.0001931749,0.00006940389,0.0003863004,0.001127289,0.9250465,0.01536224,0.000002493319,0.00004722333,0.0137289],"study_design_scores_gemma":[0.0002782704,0.0001269867,0.05435248,0.0004080801,0.00001740664,0.0001489099,0.0001301174,0.9417077,0.002492216,0.0001352542,0.00005611759,0.0001464597],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4970269,0.001135414,0.5010655,0.00002822581,0.0003114119,0.0001874253,0.00001662313,0.00001951936,0.000208987],"genre_scores_gemma":[0.9005886,0.0001872661,0.09911406,0.000011909,0.0000789597,3.636618e-7,0.000001332049,0.00001027194,0.000007265588],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4035617,"threshold_uncertainty_score":0.494955,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","retraction":null,"screen_n_in":null,"score":{"opus":0.0147312607055556,"gpt":0.2052683394700688,"spread":0.1905370787645132,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003102961,0.0001689088,0.0003391313,0.0001792718,0.00004472935,0.00004281093,0.0002743766,0.00007524509,0.0001271088],"category_scores_gemma":[0.00005569329,0.0001401439,0.00008479208,0.000220622,0.00002666615,0.0004875114,0.000008031491,0.0003187393,0.000005857255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000166601,"about_ca_system_score_gemma":0.00005682638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001042838,"about_ca_topic_score_gemma":0.000034011,"domain_scores_codex":[0.9985157,0.00002950858,0.0006801774,0.0001700399,0.000359295,0.0002452798],"domain_scores_gemma":[0.9989006,0.000230162,0.000406225,0.0002866549,0.00007716095,0.00009921537],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008695042,0.0000778485,0.004506765,0.0001213206,0.0002608053,0.0009150353,0.0001819953,0.9179672,0.06993569,0.00004204339,0.0009295577,0.004974775],"study_design_scores_gemma":[0.001018588,0.0002131906,0.1603108,0.0003755574,0.0001894797,0.0005109149,0.0001124249,0.8274068,0.008336892,0.0008362447,0.0003085623,0.0003805325],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925147,0.0009864324,0.00466499,0.00005081641,0.001430413,0.00005465166,0.0001088656,0.00002251064,0.0001666202],"genre_scores_gemma":[0.9762328,0.0001029541,0.02271344,0.000009228215,0.0008281718,1.848646e-10,0.00008120777,0.00001189289,0.00002033603],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.155804,"threshold_uncertainty_score":0.5714903,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","retraction":null,"screen_n_in":null,"score":{"opus":0.01917954179546076,"gpt":0.2056090563215384,"spread":0.1864295145260776,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004661213,0.0001226913,0.0002061082,0.00004954729,0.00008829709,0.00002555283,0.0002465283,0.00007217549,0.00002902081],"category_scores_gemma":[0.00003666366,0.00007817051,0.0001562144,0.000141717,0.00003556299,0.0003745815,0.000004564698,0.0002167568,8.028431e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001279736,"about_ca_system_score_gemma":0.0000475113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001386723,"about_ca_topic_score_gemma":0.00001938118,"domain_scores_codex":[0.9990336,0.00001871711,0.0004189967,0.00009454313,0.0002113389,0.0002227686],"domain_scores_gemma":[0.9992927,0.00005017576,0.0002871566,0.0001504568,0.0001207171,0.00009881879],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0003766237,0.0001337103,0.06152669,0.0005053367,0.0004054343,0.00005315632,0.004028852,0.873372,0.04943103,0.0003286949,0.0005146259,0.009323835],"study_design_scores_gemma":[0.002293451,0.00207754,0.5893215,0.0005497642,0.0002041137,0.001404934,0.0005825997,0.2593697,0.1414252,0.001537299,0.0004831212,0.0007507558],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949164,0.0002035963,0.001158411,0.00001643602,0.003398911,0.00008794937,0.00001636794,0.00001270058,0.0001892386],"genre_scores_gemma":[0.9870933,0.00003773479,0.01227649,0.00001314317,0.0005291413,5.448664e-10,0.000001538365,0.000009509687,0.00003914914],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6140023,"threshold_uncertainty_score":0.3187701,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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","retraction":null,"screen_n_in":null,"score":{"opus":0.02419435474907592,"gpt":0.215743667485117,"spread":0.1915493127360411,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002387213,0.00007349325,0.0001412978,0.00004832819,0.00003048035,0.00002347162,0.00008257803,0.00004391718,0.00009086596],"category_scores_gemma":[0.00005988819,0.00005518324,0.0000328156,0.00006686323,0.00004068001,0.0001484291,0.000002980316,0.0001194362,0.000007179981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004698533,"about_ca_system_score_gemma":0.0000174256,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003072732,"about_ca_topic_score_gemma":0.00001886121,"domain_scores_codex":[0.9993948,0.00001841626,0.0002659071,0.00006613454,0.0001435036,0.0001112772],"domain_scores_gemma":[0.9995362,0.0001114641,0.000123317,0.00006496709,0.0000914458,0.00007264284],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004273696,0.00009790248,0.462858,0.0004611932,0.0006878315,0.0009342497,0.004279697,0.03906857,0.4248876,0.0001615052,0.003862355,0.06227375],"study_design_scores_gemma":[0.0004509635,0.0003043807,0.8579818,0.0002194674,0.0001019962,0.0006385003,0.0004388241,0.1299515,0.008386384,0.00019637,0.001091742,0.0002380803],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9887155,0.0005803523,0.00979085,0.00002099572,0.0006449668,0.00001742556,0.00001476425,0.000008440927,0.0002066581],"genre_scores_gemma":[0.9907753,0.00009471922,0.008631028,0.00001280505,0.0004455014,1.298127e-8,0.000003399395,0.000003314757,0.00003394325],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4165012,"threshold_uncertainty_score":0.2250307,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","retraction":null,"screen_n_in":null,"score":{"opus":0.02153184328688567,"gpt":0.2159102550146762,"spread":0.1943784117277905,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002264598,0.0002168202,0.0003068451,0.0003075015,0.00008919339,0.00008314786,0.000206135,0.0001433769,0.00002003475],"category_scores_gemma":[0.0001015699,0.0002076292,0.0001517553,0.0002726331,0.00001477468,0.0004604148,0.00002732199,0.0003690722,0.000003736929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003365548,"about_ca_system_score_gemma":0.000011809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003544128,"about_ca_topic_score_gemma":1.597268e-7,"domain_scores_codex":[0.9988246,0.00001155628,0.0005032867,0.0001165963,0.0001995582,0.0003444354],"domain_scores_gemma":[0.9994166,0.00007668653,0.0001528931,0.0001129736,0.0001609166,0.00007992478],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000004769614,0.00001171428,0.0004059291,0.0001601405,0.00006932728,0.00000279864,0.0001210883,0.7970197,0.2011035,0.0000176185,0.0000892682,0.0009941998],"study_design_scores_gemma":[0.0004320463,0.0000793411,0.00008292407,0.0001214081,0.00003744275,0.0001793282,0.00005239277,0.8718303,0.1265665,0.00002089934,0.0003897712,0.0002076333],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4646617,0.0005158196,0.5340739,0.00000532447,0.0003263957,0.0001354081,0.000002199886,0.0002058784,0.0000732694],"genre_scores_gemma":[0.9383068,0.00003328941,0.06132005,0.000007514153,0.0002076486,0.000007360225,0.000008214458,0.00008025596,0.00002886233],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4736451,"threshold_uncertainty_score":0.8466875,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","retraction":null,"screen_n_in":null,"score":{"opus":0.02145097676520298,"gpt":0.2334908034461794,"spread":0.2120398266809764,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002920173,0.0001075444,0.0003664068,0.0004119537,0.00001840098,0.00002094945,0.0004399872,0.00005669899,0.00002289079],"category_scores_gemma":[0.000006196014,0.0001075512,0.0001486465,0.00081044,0.00001517398,0.0001320087,0.00003678781,0.0002873259,0.000001300738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009147988,"about_ca_system_score_gemma":0.00003232576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002242728,"about_ca_topic_score_gemma":0.00001891894,"domain_scores_codex":[0.998898,0.00003110198,0.0006903711,0.00005818773,0.0001703636,0.0001519604],"domain_scores_gemma":[0.9991445,0.00009018847,0.0001072016,0.0004628276,0.0001385301,0.00005674641],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001819627,0.00002611493,0.002483617,0.00008688098,0.0004262352,0.000006252259,0.0003654266,0.8620497,0.1340779,0.00001597604,0.00001071795,0.000449339],"study_design_scores_gemma":[0.0003319268,0.00002405915,0.02150371,0.0002529916,0.0002877156,0.00005797159,0.0002695242,0.9390222,0.0376412,0.000006466915,0.0004507363,0.0001515351],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9639126,0.001195292,0.03438435,0.00004467175,0.0001088624,0.00003117364,0.000005561078,0.00002610394,0.0002913525],"genre_scores_gemma":[0.9958563,0.0007242537,0.003338994,0.000006720102,0.00002891337,0.000001152547,0.000003161595,0.00002012219,0.00002042268],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09643671,"threshold_uncertainty_score":0.4385813,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","retraction":null,"screen_n_in":null,"score":{"opus":0.01598549932052846,"gpt":0.2139848502172329,"spread":0.1979993508967045,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003600364,0.0001250618,0.0001842391,0.0001360343,0.00006618476,0.0001808796,0.0001638096,0.00004284829,0.0001590655],"category_scores_gemma":[0.00004349386,0.00007992614,0.00004010936,0.00006425239,0.00003713501,0.000535826,0.000004900141,0.0002154479,0.00001171609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001559477,"about_ca_system_score_gemma":0.00004381373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001583306,"about_ca_topic_score_gemma":0.00001050192,"domain_scores_codex":[0.9989197,0.00001739237,0.0002788291,0.000131568,0.0002961895,0.0003563165],"domain_scores_gemma":[0.9993446,0.0001776509,0.00005837973,0.00007844932,0.0001372614,0.0002036874],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001929806,0.00003261458,0.05888067,0.0002838618,0.0002144785,0.0000544482,0.0006743417,0.205312,0.7298703,0.000009703666,0.0009382026,0.003536392],"study_design_scores_gemma":[0.001158484,0.0008942648,0.1369974,0.0001713693,0.00005354441,0.0002863147,0.000224907,0.8120995,0.04683907,0.0003298515,0.0006130261,0.0003323221],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6451697,0.0001348377,0.353822,0.0004730648,0.000101712,0.0001953573,0.00001162024,0.0000168697,0.00007479121],"genre_scores_gemma":[0.9251476,0.00002325325,0.07461902,0.00002238405,0.0001338478,0.000001248112,0.000006452492,0.00001106396,0.0000351432],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6830313,"threshold_uncertainty_score":0.3259293,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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","retraction":null,"screen_n_in":null,"score":{"opus":0.0174125727401616,"gpt":0.2029857866853027,"spread":0.1855732139451411,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001092807,0.00009880099,0.0001728379,0.00008697448,0.00006325266,0.00003922107,0.0003397028,0.00004136511,0.00002069313],"category_scores_gemma":[0.0001667127,0.00004709142,0.0001062746,0.0002771095,0.00005193198,0.0001233586,0.00002108768,0.0004833711,0.000004708761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007891858,"about_ca_system_score_gemma":0.00004501078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002199665,"about_ca_topic_score_gemma":0.0001116783,"domain_scores_codex":[0.998758,0.00009047534,0.0003351859,0.00008104897,0.000430329,0.0003050136],"domain_scores_gemma":[0.9992952,0.0003328512,0.00007804815,0.0001097714,0.00007804939,0.0001061213],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002790654,0.000006196181,0.01241909,0.0000459292,0.00003188283,0.00006393557,0.000457434,0.9607074,0.02594831,6.791549e-7,0.00005584791,0.0002354143],"study_design_scores_gemma":[0.0002251305,0.00008895692,0.0479532,0.00006198358,0.00001595788,0.00009281186,0.00009993275,0.9409456,0.01032766,0.00003876822,0.00007257069,0.00007745124],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9793197,0.0002380867,0.01870254,0.001078138,0.0005099974,0.00009080109,0.00000729767,0.000007572707,0.00004587263],"genre_scores_gemma":[0.9995553,0.0001028138,0.000097846,0.00005071576,0.0001788768,5.280405e-8,3.731187e-7,0.000005492157,0.00000855387],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03553411,"threshold_uncertainty_score":0.2100034,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","retraction":null,"screen_n_in":null,"score":{"opus":0.043805168886002,"gpt":0.2549634384104162,"spread":0.2111582695244142,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002895332,0.00009593519,0.0002454618,0.0001402076,0.000020232,0.00001767666,0.0003561249,0.00004943357,0.00004230453],"category_scores_gemma":[0.0001925763,0.00007855242,0.00003699872,0.00008962449,0.00006011251,0.0003058549,0.00002496101,0.0002402213,0.000001987094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008843004,"about_ca_system_score_gemma":0.00007224875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007820314,"about_ca_topic_score_gemma":0.00002425567,"domain_scores_codex":[0.9989688,0.00001185633,0.000380029,0.0001110012,0.0003407845,0.0001875613],"domain_scores_gemma":[0.9991274,0.0003868534,0.0000744694,0.0001822914,0.00006499798,0.0001639442],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003843266,0.00001978459,0.002285567,0.00003826836,0.00006827299,0.000009728912,0.00009320737,0.9267997,0.06966618,9.093914e-7,0.00006983752,0.0009100824],"study_design_scores_gemma":[0.0002994316,0.0001542518,0.002129937,0.00008756018,0.00007270381,0.00003495169,0.00003331143,0.9708416,0.02620268,0.00006808485,0.000004484078,0.00007104356],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6806141,0.0003133261,0.3187971,0.00004160758,0.00008712072,0.00002778037,0.0001019538,0.000004272913,0.00001271516],"genre_scores_gemma":[0.9026334,0.0001358196,0.09712736,0.000006294082,0.00007844025,2.235386e-8,0.00001247457,0.000004760137,0.000001425609],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2220193,"threshold_uncertainty_score":0.3203275,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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","retraction":null,"screen_n_in":null,"score":{"opus":0.01550515836645574,"gpt":0.226786394219217,"spread":0.2112812358527612,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004702043,0.0001308547,0.000224747,0.00012457,0.00002259541,0.00005540189,0.0003371527,0.00004735556,0.000004315431],"category_scores_gemma":[0.000004791738,0.00009553837,0.00007635728,0.0001738695,0.000003259538,0.0001332364,0.00001124355,0.000272548,0.000003688923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007977461,"about_ca_system_score_gemma":0.000007725453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002970823,"about_ca_topic_score_gemma":0.00002345136,"domain_scores_codex":[0.9990587,0.00003242297,0.0004639994,0.00006888754,0.0001835619,0.0001924091],"domain_scores_gemma":[0.9992928,0.000304972,0.00008006962,0.0002245142,0.00006438915,0.00003326251],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001154061,0.00003913542,0.009584839,0.00005303329,0.00005516231,0.000005476247,0.0006948815,0.9889729,0.0004220555,0.000002041434,0.00001078945,0.0001481429],"study_design_scores_gemma":[0.0009625102,0.0001505271,0.03926335,0.00007232862,0.00003270695,0.00001732153,0.0002763052,0.958866,0.00005460656,0.000006537782,0.0001745395,0.0001232596],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6409154,0.000153968,0.3583497,0.00001307458,0.000257317,0.0002818095,6.555794e-7,0.0000221234,0.000005938103],"genre_scores_gemma":[0.9993622,0.00001507627,0.0003023488,0.00001697974,0.0002471969,0.000007748373,0.000001030954,0.00003506134,0.00001235793],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3584468,"threshold_uncertainty_score":0.3895942,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","retraction":null,"screen_n_in":null,"score":{"opus":0.01923922603351251,"gpt":0.2246630592637958,"spread":0.2054238332302833,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000448285,0.0001234299,0.0001830578,0.0002624018,0.00008427032,0.00009267986,0.0001497201,0.00006535199,0.0002571439],"category_scores_gemma":[0.0000910258,0.0001093469,0.00008319239,0.0002013655,0.00001129412,0.0005902266,0.000008781755,0.0003989112,0.00003202209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005463599,"about_ca_system_score_gemma":0.0001829922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001462218,"about_ca_topic_score_gemma":0.000004643231,"domain_scores_codex":[0.9984947,0.00003481113,0.0003789142,0.00008983852,0.000724949,0.0002767556],"domain_scores_gemma":[0.9992781,0.0001515857,0.0001040722,0.00009779243,0.0001971415,0.0001712681],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004792138,0.0000108205,0.0005303357,0.00006702908,0.00003756717,0.0001704657,0.0001647551,0.9670928,0.03031294,0.000001576487,0.00004047965,0.001523307],"study_design_scores_gemma":[0.0006684165,0.0001106765,0.005462878,0.0001716641,0.00003388523,0.0004483031,0.0001023597,0.9788852,0.01383003,0.00001214094,0.0001426541,0.0001317712],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8507774,0.0001429637,0.1478804,0.00006099793,0.0008919578,0.00005923096,0.00001400807,0.00001768808,0.0001552887],"genre_scores_gemma":[0.992709,0.00005994809,0.006937199,0.00006240784,0.0001955914,4.975475e-8,0.000005554701,0.000006273662,0.00002401076],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1419315,"threshold_uncertainty_score":0.4459036,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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","retraction":null,"screen_n_in":null,"score":{"opus":0.01592753095853572,"gpt":0.2044504950556347,"spread":0.188522964097099,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004477943,0.0001915116,0.0003887381,0.0001416072,0.00004507768,0.00004241735,0.0002558129,0.0000809398,0.0003933081],"category_scores_gemma":[0.00007093619,0.0001594613,0.0001078427,0.0001995934,0.00002919839,0.0005057279,0.00001447105,0.0004036902,0.00002297724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000249272,"about_ca_system_score_gemma":0.00009376332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000325023,"about_ca_topic_score_gemma":0.00001897771,"domain_scores_codex":[0.9983724,0.00004227617,0.0006198375,0.0002300539,0.0004671761,0.0002682808],"domain_scores_gemma":[0.9986767,0.0003532457,0.0004109889,0.0003525275,0.00007053545,0.0001360497],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003990624,0.0002817522,0.01893821,0.0006006336,0.001345759,0.001118697,0.0007876807,0.7870893,0.176618,0.00007641504,0.000930632,0.01181386],"study_design_scores_gemma":[0.0007967002,0.0003244253,0.04655354,0.0005876382,0.0001616383,0.0008855459,0.0001875438,0.9331571,0.01614712,0.0002954092,0.0004919372,0.0004113318],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929642,0.0007645928,0.001807005,0.0001079111,0.003875752,0.00008097522,0.0001912181,0.00002056812,0.0001877924],"genre_scores_gemma":[0.9602914,0.0002230133,0.0387307,0.00001098612,0.000616166,4.378842e-10,0.00005671973,0.0000152411,0.00005576206],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1604709,"threshold_uncertainty_score":0.6502641,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","retraction":null,"screen_n_in":null,"score":{"opus":0.004479899617843173,"gpt":0.1934708802925631,"spread":0.1889909806747199,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008857658,0.0004249142,0.0005277515,0.00007623592,0.0001364649,0.0001967764,0.000932933,0.0006473573,0.002492758],"category_scores_gemma":[0.0003371826,0.0002279649,0.0002840645,0.0001525531,0.00005604483,0.0002283289,0.000015406,0.002495553,0.0001388451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000176762,"about_ca_system_score_gemma":0.0001916203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002924291,"about_ca_topic_score_gemma":0.00002005076,"domain_scores_codex":[0.9970788,0.00003596426,0.0006453755,0.0002395132,0.001503411,0.0004969053],"domain_scores_gemma":[0.9982747,0.0006696929,0.0003314807,0.0002656064,0.0002622147,0.0001962741],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005477227,0.00002017061,0.00002903324,0.00004388822,0.00009521276,0.00003599224,0.0001356584,0.002822077,0.0001001055,0.000001765411,0.9960505,0.0006108084],"study_design_scores_gemma":[0.0002711353,0.000304199,0.00002627828,0.0001869579,0.00005797192,0.00001280974,0.00004336594,0.0002367169,0.001243351,0.00002839898,0.9972826,0.0003061769],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.002484259,0.0006384485,0.00004423648,0.0001447384,0.9953157,0.00009947056,0.0000567461,0.00002897729,0.001187396],"genre_scores_gemma":[0.002571395,0.0005239042,0.0002136308,0.00003415172,0.9962418,4.450107e-7,0.0000244427,0.00002745994,0.0003627471],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.00258536,"threshold_uncertainty_score":0.9998057,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}