{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":102,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":102,"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":"eae9aee4e4a5","filters":{"venue":"Wind Engineering"}},"results":[{"id":"W2109591158","doi":"10.1260/0309-524x.32.4.355","title":"Using Standard Deviation as a Measure of Increased Operational Reserve Requirement for Wind Power","year":2008,"lang":"en","type":"article","venue":"Wind Engineering","topic":"Electric Power System Optimization","field":"Engineering","cited_by":186,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Manitoba Hydro","funders":"","keywords":"Wind power; Environmental science; Standard deviation; Predictability; Flexibility (engineering); Measure (data warehouse); Electric power system; Power (physics); Statistics; Computer science; Mathematics; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.02622954555920999,"gpt":0.2344191804871257,"spread":0.2081896349279157,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002877521,0.0001642021,0.0002224979,0.0001801177,0.00006606935,0.00001742147,0.00009665293,0.0000961946,0.00002532749],"category_scores_gemma":[0.0001645318,0.0001875186,0.00006164984,0.0002912761,0.000008688169,0.0002701965,0.00001227579,0.00008246896,0.000002288444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000303466,"about_ca_system_score_gemma":0.00009190336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002914958,"about_ca_topic_score_gemma":0.000002730644,"domain_scores_codex":[0.9988877,0.00001431694,0.0003701818,0.000149939,0.0003396014,0.0002383048],"domain_scores_gemma":[0.9994676,0.0000473331,0.00004826134,0.0001719939,0.0001979405,0.00006686424],"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":[0.00002508507,0.000008814006,0.0004982431,0.0001001875,0.00007010355,0.000002525143,0.000290849,0.9409019,0.05761741,0.0002891238,0.000165663,0.00003011812],"study_design_scores_gemma":[0.001067267,0.0001152735,0.001162937,0.0002019236,0.00003183135,0.00004290108,0.00002233486,0.94438,0.05154899,0.00001465498,0.001093593,0.0003182833],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5241191,0.0003882557,0.4741256,0.0000129815,0.0002811567,0.0004348493,0.00002446759,0.000159377,0.0004542496],"genre_scores_gemma":[0.9789097,0.000009965268,0.02088441,0.000007139602,0.00007176244,0.00001265233,0.00003278693,0.00005538781,0.00001619296],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4547906,"threshold_uncertainty_score":0.7646786,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2002651923","doi":"10.1260/030952407783123060","title":"Quantification of Condition Monitoring Benefit for Offshore Wind Turbines","year":2007,"lang":"en","type":"article","venue":"Wind Engineering","topic":"Power System Reliability and Maintenance","field":"Engineering","cited_by":148,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Royal College of Physicians and Surgeons of Canada","funders":"","keywords":"Offshore wind power; Flexibility (engineering); Turbine; Wind power; Probabilistic logic; Reliability engineering; Baseline (sea); Condition monitoring; Submarine pipeline; Markov chain; Marine engineering; Variety (cybernetics); Engineering; Risk analysis (engineering); Computer science; Operations research; Environmental science; Business","retraction":null,"screen_n_in":null,"score":{"opus":0.011866763125866,"gpt":0.2296276090420428,"spread":0.2177608459161768,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003121024,0.0001361095,0.0001854563,0.0001139025,0.0000257085,0.00001235574,0.0001027731,0.00009694655,0.000003481803],"category_scores_gemma":[0.00005516811,0.0001483619,0.00007001916,0.0001509233,0.0000124302,0.0001427838,0.000008487893,0.00008266985,0.000004064568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006968484,"about_ca_system_score_gemma":0.000004624748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005825658,"about_ca_topic_score_gemma":0.000002492933,"domain_scores_codex":[0.9991586,0.000001702637,0.0003309175,0.0001363913,0.0001075027,0.000264884],"domain_scores_gemma":[0.9995385,0.00009404909,0.00003717768,0.0001986065,0.00007504749,0.0000565828],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001892556,0.00002071558,0.002790592,0.001237132,0.00006279529,0.000001624363,0.0004352593,0.7116641,0.2778302,0.002819976,0.0001173888,0.003001253],"study_design_scores_gemma":[0.0007408175,0.00007586809,0.1350324,0.0007475767,0.00004740044,0.00001448659,0.0003002971,0.126567,0.722136,0.0002292648,0.01351697,0.0005920283],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7734633,0.0004969771,0.2237407,0.00001161602,0.001524638,0.0002532762,0.00002211745,0.0002288573,0.0002585661],"genre_scores_gemma":[0.9973104,0.00001615254,0.002313525,0.000001331534,0.0002554526,0.000008746002,0.00001718179,0.00003438165,0.00004280202],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5850971,"threshold_uncertainty_score":0.6050022,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1984049437","doi":"10.1260/030952409789140955","title":"Blade Offset and Pitch Effects on a High Solidity Vertical Axis Wind Turbine","year":2009,"lang":"en","type":"article","venue":"Wind Engineering","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":122,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"Ontario Centres of Excellence","keywords":"Solidity; Blade pitch; Offset (computer science); Vertical axis wind turbine; Chord (peer-to-peer); Turbine; Trailing edge; Structural engineering; Wind tunnel; Wind speed; Geology; Acoustics; Engineering; Aerospace engineering; Physics; Computer science","retraction":null,"screen_n_in":null,"score":{"opus":0.005012672607353011,"gpt":0.1898170368451636,"spread":0.1848043642378105,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001057192,0.0002536431,0.0002417825,0.0001498585,0.0000518865,0.00005420276,0.0001148596,0.0001219675,0.00002282609],"category_scores_gemma":[0.00006770556,0.0002425632,0.00004084955,0.0001893045,0.00001328308,0.0001125339,0.00003031723,0.0003313104,0.00004993633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009651916,"about_ca_system_score_gemma":0.00001441321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007317793,"about_ca_topic_score_gemma":8.964029e-7,"domain_scores_codex":[0.9987566,0.00001019691,0.0001748949,0.0002323809,0.0002664418,0.0005594461],"domain_scores_gemma":[0.9993744,0.00008843934,0.000005202829,0.0002060962,0.00001571183,0.0003101867],"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":[0.0001111888,0.0001448097,0.0006649707,0.0005435265,0.0002673579,0.000422256,0.0005871761,0.8006836,0.1266871,0.002206721,0.007526183,0.06015516],"study_design_scores_gemma":[0.002946708,0.0008210331,0.497501,0.0005091744,0.00004185281,0.00007383672,0.00001844719,0.2829264,0.1969092,0.0005234455,0.01617655,0.001552306],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966946,0.0002418008,0.001225194,0.0002520472,0.0003080395,0.0001190689,0.000003576999,0.000384889,0.0007707629],"genre_scores_gemma":[0.99863,0.00005952499,0.0008039665,0.00008557954,0.0003233384,0.000005353428,0.00001336652,0.00003404599,0.00004479992],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5177571,"threshold_uncertainty_score":0.9891439,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2020778551","doi":"10.1260/030952407781998800","title":"Desirable Airfoil Features for Smaller-Capacity Straight-Bladed VAWT","year":2007,"lang":"en","type":"article","venue":"Wind Engineering","topic":"Wind Energy Research and Development","field":"Engineering","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 Windsor","funders":"","keywords":"Airfoil; Vertical axis wind turbine; Aerodynamics; Turbine; Lift (data mining); Aerospace engineering; Marine engineering; Engineering; Structural engineering; Mechanical engineering; Computer science","retraction":null,"screen_n_in":null,"score":{"opus":0.01864527936841867,"gpt":0.2051504238633727,"spread":0.186505144494954,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003807062,0.0002576207,0.000216643,0.0002026516,0.00008679954,0.00006013567,0.0002081006,0.0001581997,0.0000643362],"category_scores_gemma":[0.00005880831,0.0002609517,0.00009424211,0.0002394281,0.00001616428,0.0001541369,0.00002805554,0.0002761604,0.00002406795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000146472,"about_ca_system_score_gemma":0.00002377552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001004333,"about_ca_topic_score_gemma":0.0000222036,"domain_scores_codex":[0.9984073,0.000003937781,0.0002487907,0.0002175787,0.0002387879,0.0008835985],"domain_scores_gemma":[0.999337,0.0001080393,0.00001333624,0.0002109667,0.00004669062,0.0002839709],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005444032,0.00004571168,0.0002065889,0.0005198903,0.0002874777,0.00003927821,0.0005043475,0.8802406,0.09119611,0.003208051,0.009409011,0.01428852],"study_design_scores_gemma":[0.003185704,0.0002265476,0.07523788,0.0002937346,0.00004635803,0.00009909951,0.0001990662,0.1058489,0.5477287,0.000545106,0.2642219,0.002366982],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6437743,0.0009100995,0.3260516,0.00008699646,0.001550675,0.000527141,0.00002700994,0.001740701,0.02533146],"genre_scores_gemma":[0.9648638,0.00002623311,0.03365588,0.00002486289,0.0004324304,0.00002753058,0.00002111332,0.00008412171,0.000864043],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7743917,"threshold_uncertainty_score":0.9999843,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2060073266","doi":"10.1260/0309-524x.34.4.389","title":"Response of a Vertical Axis Wind Turbine to Time Varying Wind Conditions Found within the Urban Environment","year":2010,"lang":"en","type":"article","venue":"Wind Engineering","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":75,"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":"Turbine; Wind speed; Aerodynamics; Wind profile power law; Vertical axis wind turbine; Environmental science; Wind tunnel; Wind power; Meteorology; Wind direction; Wind gradient; Marine engineering; Physics; Mechanics; Engineering; Aerospace engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.006630625090241054,"gpt":0.1982156047442764,"spread":0.1915849796540353,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005061991,0.0002447455,0.0002323596,0.0001903831,0.00009828264,0.00004767828,0.0002906836,0.0001144177,0.0003286275],"category_scores_gemma":[0.0001880903,0.0002075106,0.00007294562,0.0002610244,0.00006187664,0.0001254008,0.0001029663,0.000466241,0.0002457548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000100067,"about_ca_system_score_gemma":0.0000476048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009964789,"about_ca_topic_score_gemma":0.000001678655,"domain_scores_codex":[0.9985297,0.00002654832,0.0003447609,0.0002249378,0.0003838753,0.0004901183],"domain_scores_gemma":[0.998966,0.0002411879,0.00001507047,0.0004414205,0.0000230922,0.0003132706],"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":[0.0000624242,0.00002292224,0.0001384618,0.0000219207,0.00008169164,0.00001653934,0.0006766762,0.5251437,0.4727995,0.0001775703,0.0007861823,0.00007230742],"study_design_scores_gemma":[0.00257652,0.0005111686,0.1554215,0.0003364464,0.0001051837,0.0001632007,0.0001905041,0.4575574,0.3100015,0.0001855269,0.07095862,0.001992443],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972472,0.00005577164,0.001161824,0.0002541094,0.0003400665,0.0002181811,0.00002006444,0.0001501985,0.0005525674],"genre_scores_gemma":[0.9970999,0.000002642644,0.002339417,0.00004214228,0.0001613046,0.00001683346,0.0000139066,0.00006093363,0.0002628686],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.162798,"threshold_uncertainty_score":0.8462037,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2043059314","doi":"10.1260/030952408786411903","title":"Analysis of the Design Parameters Related to a Fixed-Pitch Straight-Bladed Vertical Axis Wind Turbine","year":2008,"lang":"en","type":"article","venue":"Wind Engineering","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":71,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Windsor","funders":"","keywords":"Vertical axis wind turbine; Turbine; Grid; Wind power; Marine engineering; Computer science; Engineering; Mechanical engineering; Mathematics; Electrical engineering; Geometry","retraction":null,"screen_n_in":null,"score":{"opus":0.01656438595367541,"gpt":0.2050217431919897,"spread":0.1884573572383143,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001745265,0.0002289232,0.00036065,0.0003958162,0.00006443224,0.00001735323,0.000307944,0.0001191308,0.0001066448],"category_scores_gemma":[0.000124134,0.0001830679,0.0001826966,0.001937146,0.00003543549,0.00008399963,0.00006579948,0.0002734557,0.00002237969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001194755,"about_ca_system_score_gemma":0.00004206057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000183243,"about_ca_topic_score_gemma":0.000002934754,"domain_scores_codex":[0.9984608,0.00002589457,0.0003706914,0.0002224553,0.0004053129,0.0005147907],"domain_scores_gemma":[0.9991904,0.0001215477,0.00001278237,0.0003839821,0.00004077506,0.0002504977],"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":[0.00001215374,0.00001630494,0.001221195,0.00002022265,0.0008342471,0.00002061045,0.0005928508,0.9789983,0.01759262,0.00003804391,0.0003827616,0.0002706598],"study_design_scores_gemma":[0.000556286,0.00007914348,0.2521879,0.00007640073,0.0002218267,0.00002094049,0.00003722859,0.6792668,0.06616038,0.00001470263,0.0008443855,0.0005339991],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9879508,0.0001023214,0.01086484,0.00008048694,0.0002028855,0.000176496,0.000006405722,0.0001803542,0.0004354224],"genre_scores_gemma":[0.9953895,0.00001893843,0.004366536,0.00001874203,0.00001688204,0.00001076995,0.000007316586,0.00003935099,0.000132008],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2997316,"threshold_uncertainty_score":0.746529,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2124250478","doi":"10.1260/030952406777641450","title":"Wind Energy Simulation Toolkit (WEST): A Wind Mapping System for Use by the Wind-Energy Industry","year":2006,"lang":"en","type":"article","venue":"Wind Engineering","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":59,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Boehringer Ingelheim (Canada); TransCanada (Canada); Environment and Climate Change Canada","funders":"","keywords":"Downscaling; Mesoscale meteorology; Terrain; Meteorology; Microscale chemistry; Wind power; Wind speed; Environmental science; Geography; Engineering; Precipitation; Mathematics; Cartography","retraction":null,"screen_n_in":null,"score":{"opus":0.01406254589595958,"gpt":0.1986428685218328,"spread":0.1845803226258732,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002717482,0.000485652,0.0003753804,0.0002746181,0.0002317036,0.0003040821,0.0003640247,0.0004663667,0.00002598273],"category_scores_gemma":[0.00004754698,0.0004409451,0.0001452107,0.0005497031,0.00003124447,0.0005071452,0.00008326316,0.0004494352,0.00001044988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004324404,"about_ca_system_score_gemma":0.00005969829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003795734,"about_ca_topic_score_gemma":0.00002355218,"domain_scores_codex":[0.9975026,0.00002961048,0.0005662219,0.0004140189,0.0004758697,0.001011628],"domain_scores_gemma":[0.9988584,0.0003144613,0.0000603501,0.0004524727,0.00008989742,0.0002244275],"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":[0.00001334362,0.00001756493,0.0003025314,0.000130931,0.0001192423,0.00001495112,0.00007271492,0.9872317,0.005585949,0.0008787508,0.003592562,0.002039768],"study_design_scores_gemma":[0.0008267823,0.00003184454,0.003687969,0.000229087,0.00002535922,0.00002921737,0.0001212468,0.765556,0.006669151,0.00002907658,0.2220857,0.0007085344],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.731979,0.001514144,0.2600581,0.0001560012,0.001535622,0.000483102,0.000116328,0.001498587,0.00265913],"genre_scores_gemma":[0.9962072,0.00001306382,0.001078375,0.00004701637,0.0009929778,0.00003876636,0.0001696731,0.0001570675,0.001295907],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2642282,"threshold_uncertainty_score":0.9998043,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2153148363","doi":"10.1260/0309-524x.3.4.461","title":"Low Reynolds Number Vertical Axis Wind Turbine for Mars","year":2010,"lang":"en","type":"article","venue":"Wind Engineering","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":52,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Polytechnique Montréal; Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Airfoil; Turbine; Vertical axis wind turbine; Aerospace engineering; Wind power; Aerodynamics; Wells turbine; Turbulence; Mars Exploration Program; Meteorology; Marine engineering; Engineering; Environmental science; Turbine blade; Physics; Electrical engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.005666349872006837,"gpt":0.2072730047902563,"spread":0.2016066549182495,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001592138,0.0002373458,0.0002094932,0.00009760566,0.00005347123,0.00006075671,0.0002043809,0.0001802584,0.0002677776],"category_scores_gemma":[0.0001040055,0.0002399782,0.00008901799,0.0001930333,0.00002264327,0.0001516183,0.00004570236,0.0004086996,0.0001550384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000669853,"about_ca_system_score_gemma":0.00002928142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000551531,"about_ca_topic_score_gemma":0.000004962734,"domain_scores_codex":[0.9986329,0.000003195939,0.0002302479,0.0002212006,0.000226001,0.0006864231],"domain_scores_gemma":[0.9992935,0.00007732946,0.000005718925,0.000279727,0.00004298104,0.0003007181],"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":[0.00008007621,0.0001201071,0.00233274,0.000795991,0.000388953,0.00008955829,0.0004799883,0.5705586,0.3841081,0.003363536,0.0209082,0.01677418],"study_design_scores_gemma":[0.002321623,0.00009695746,0.03152959,0.0001548096,0.00003305492,0.00009455366,0.00003403746,0.4742949,0.1932488,0.0002529384,0.2963578,0.001580925],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9879355,0.00004137832,0.006555139,0.00009835551,0.001406017,0.0001841498,0.00001218783,0.0005200417,0.003247277],"genre_scores_gemma":[0.9908171,0.00001282643,0.008096743,0.00002145288,0.0005492151,0.00003273006,0.00002734389,0.00009075933,0.0003518364],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2754496,"threshold_uncertainty_score":0.9786027,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2025004352","doi":"10.1260/0309-524x.36.4.389","title":"An Evaluation Testbed for Wind Turbine Blade Tip Designs — Winglet Results","year":2012,"lang":"en","type":"article","venue":"Wind Engineering","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Wingtip device; Rotor (electric); Turbine; Wind power; Marine engineering; Airfoil; Wind speed; Power (physics); Turbine blade; Maximum power principle; Tip-speed ratio; Structural engineering; Engineering; Mechanical engineering; Materials science; Aerodynamics; Aerospace engineering; Physics; Electrical engineering; Meteorology","retraction":null,"screen_n_in":null,"score":{"opus":0.04769393136499017,"gpt":0.2723311903780433,"spread":0.2246372590130531,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009775944,0.0002495475,0.0001950108,0.0001952555,0.00007377158,0.00006111276,0.0001825086,0.0001281822,0.00003387902],"category_scores_gemma":[0.0002301303,0.0002558768,0.00005686666,0.000247856,0.00001147034,0.0004918283,0.00002070923,0.0001772141,0.00003738387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002161165,"about_ca_system_score_gemma":0.00004332841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000612472,"about_ca_topic_score_gemma":0.000001763549,"domain_scores_codex":[0.9982945,0.00002057518,0.0003070727,0.0002119999,0.0003873023,0.000778547],"domain_scores_gemma":[0.9991248,0.0001101753,0.0000214041,0.0002876103,0.00008387717,0.0003721557],"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":[0.00003286003,0.00004133003,0.000202244,0.00007231997,0.00006815667,0.000001618247,0.000512012,0.9265633,0.06506445,0.00008547448,0.00177908,0.005577099],"study_design_scores_gemma":[0.00194118,0.0001389971,0.01709995,0.0000835195,0.00004372945,0.00001603165,0.00007519803,0.8996415,0.05717199,0.00004855843,0.02306022,0.000679112],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9307884,0.001045305,0.06123869,0.0001037881,0.001509796,0.0009355803,0.00005824845,0.001108133,0.003212028],"genre_scores_gemma":[0.9851466,0.000009998771,0.01346906,0.00001705861,0.0009493218,0.00006520793,0.000182608,0.00008410356,0.0000760702],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05435814,"threshold_uncertainty_score":0.9999893,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2058800445","doi":"10.1260/0309524043729958","title":"On the Rotor Effects upon Nacelle Anemometry for Wind Turbines","year":2004,"lang":"en","type":"article","venue":"Wind Engineering","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Nacelle; Anemometer; Turbine; Rotor (electric); Turbulence; Marine engineering; Mechanics; Wind power; Aerospace engineering; Meteorology; Computational fluid dynamics; Environmental science; Engineering; Physics; Mechanical engineering; Electrical engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.006041194828466294,"gpt":0.1884075262372719,"spread":0.1823663314088056,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000161816,0.0002269864,0.0001679829,0.0001564183,0.00009335004,0.00005561571,0.000203353,0.00008929763,0.0000255251],"category_scores_gemma":[0.0001408286,0.0001716664,0.00008012355,0.0002723507,0.00001016444,0.00007899012,0.00002953015,0.0002124606,0.00006608819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001434307,"about_ca_system_score_gemma":0.00002317133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005039664,"about_ca_topic_score_gemma":0.000002782252,"domain_scores_codex":[0.9989395,0.000005617554,0.0001491887,0.0001762618,0.0002192795,0.0005101394],"domain_scores_gemma":[0.9993876,0.000206018,0.00001005567,0.0002362031,0.00002230854,0.0001378078],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001068461,0.00001700059,0.00001454699,0.0002053144,0.0000650216,0.00001243435,0.0001269065,0.9785213,0.01715527,0.001887194,0.001242237,0.0007421033],"study_design_scores_gemma":[0.006423659,0.0008373118,0.01787161,0.001250851,0.00005671391,0.00006309219,0.0001622456,0.1857244,0.6925673,0.002888864,0.089596,0.002557894],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9853324,0.0004323853,0.01112539,0.0002425506,0.0007952701,0.0005258591,0.00000614675,0.0004204932,0.001119495],"genre_scores_gemma":[0.9973595,0.00001944838,0.001917103,0.00005338805,0.0003060132,0.00008658413,0.000009166984,0.00007099009,0.0001778599],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7927969,"threshold_uncertainty_score":0.7000353,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2114045411","doi":"10.1260/0309-524x.36.1.1","title":"Integration of Wind and Hydropower Systems: Results of IEA Wind Task 24","year":2012,"lang":"en","type":"article","venue":"Wind Engineering","topic":"Integrated Energy Systems Optimization","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Hydro-Québec","funders":"","keywords":"Hydropower; Task (project management); Wind power; Variety (cybernetics); Limiting; System integration; Engineering; Systems engineering; Computer science; Operations research; Environmental resource management; Environmental science; Electrical engineering; Mechanical engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.006765588340966878,"gpt":0.1846216292402069,"spread":0.17785604089924,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000287597,0.0002232252,0.0003226126,0.0002510857,0.00001759561,0.0000181252,0.00009171171,0.0001840682,0.000005584539],"category_scores_gemma":[0.00008005919,0.0002175102,0.0000438727,0.0002885835,0.00002395186,0.0003657628,0.00001841347,0.0001683463,0.000005145981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008084513,"about_ca_system_score_gemma":0.000009133439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000111146,"about_ca_topic_score_gemma":0.000002674149,"domain_scores_codex":[0.9988133,0.00001962313,0.0005651664,0.0001339619,0.0001854095,0.0002825967],"domain_scores_gemma":[0.9994304,0.00005233916,0.0000933152,0.0002473887,0.00008626598,0.00009027641],"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":[0.000009672591,0.00001229028,0.0001237863,0.0002483219,0.00006225043,6.958975e-7,0.001037476,0.8839125,0.1137507,0.0005308843,0.0001800342,0.0001313633],"study_design_scores_gemma":[0.0007181865,0.00005895449,0.00163099,0.0007974215,0.00005442551,0.00003285255,0.0004651847,0.9225699,0.0693268,0.000002606693,0.003941322,0.0004013155],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9538813,0.002373444,0.03595418,0.000007760104,0.00232517,0.0002708524,0.00005892815,0.0002640923,0.004864259],"genre_scores_gemma":[0.9981132,0.0000442453,0.001412297,0.000001340742,0.0001847058,0.000002883977,0.00003998522,0.00006100856,0.0001403793],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04442394,"threshold_uncertainty_score":0.8869808,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1989805140","doi":"10.1260/0309-524x.36.1.35","title":"Preliminary Impacts of Wind Power Integration in the Hydro-Quebec System","year":2012,"lang":"en","type":"article","venue":"Wind Engineering","topic":"Power System Reliability and Maintenance","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Desjardins; Hydro-Québec","funders":"","keywords":"Wind power; Environmental science; Time horizon; Meteorology; Electric power system; Reliability (semiconductor); Electricity generation; Wind speed; Reliability engineering; Power (physics); Engineering; Electrical engineering; Geography; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.005258119319427839,"gpt":0.1838826331179976,"spread":0.1786245137985698,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005321734,0.0001645406,0.000205621,0.0001096699,0.00001559755,0.00001650479,0.0001825898,0.00009848426,0.000005612968],"category_scores_gemma":[0.00005610024,0.0001250166,0.00006153492,0.0002396735,0.00001410351,0.0003193433,0.00001842553,0.0002042338,0.00001714286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001722228,"about_ca_system_score_gemma":0.000009625383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000196785,"about_ca_topic_score_gemma":0.00003608157,"domain_scores_codex":[0.9990482,0.0000254403,0.0003151756,0.00009215831,0.0001570062,0.0003619791],"domain_scores_gemma":[0.9995055,0.00008479288,0.00003087535,0.0002980624,0.00001795562,0.00006279851],"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":[0.00006576848,0.0002263454,0.01404215,0.004433578,0.0001504047,0.00003688976,0.04855555,0.8356133,0.0770876,0.01534151,0.001798243,0.002648689],"study_design_scores_gemma":[0.001397885,0.0002517043,0.5878682,0.005139838,0.00009283403,0.0003565121,0.009458411,0.341971,0.03907694,0.00002046708,0.01294427,0.001422036],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9877852,0.001299538,0.006680881,0.00002516492,0.0009505333,0.0002703277,0.00000557798,0.0001723104,0.002810513],"genre_scores_gemma":[0.9996813,0.000006441292,0.0001552536,0.000006998408,0.00009452255,0.00001056851,0.000003448612,0.00002617887,0.00001531089],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.573826,"threshold_uncertainty_score":0.5098031,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2620296300","doi":"10.1177/0309524x17709730","title":"Improved power curve monitoring of wind turbines","year":2017,"lang":"en","type":"article","venue":"Wind Engineering","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","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 Windsor","funders":"","keywords":"Turbine; Wind power; Artificial neural network; Power (physics); Data acquisition; Set (abstract data type); Control theory (sociology); Engineering; Supervisory control; Feature (linguistics); Energy (signal processing); Computer science; Function (biology); Control engineering; Artificial intelligence; Control (management); Statistics; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.008476165723464447,"gpt":0.2546899553845674,"spread":0.246213789661103,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001391143,0.0002567558,0.0002955489,0.000134714,0.00007156443,0.00008157882,0.0004847717,0.0001256929,0.00002676422],"category_scores_gemma":[0.0001645774,0.0002732102,0.00009602658,0.00006365986,0.00002623048,0.0003409558,0.00009682216,0.0002484479,0.000006758119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004985779,"about_ca_system_score_gemma":0.00000669463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004523059,"about_ca_topic_score_gemma":0.00000135663,"domain_scores_codex":[0.9990544,0.000004162679,0.0002818442,0.0001808191,0.000146638,0.0003321298],"domain_scores_gemma":[0.9990295,0.00004520869,0.00006557862,0.0007260697,0.00004277908,0.00009092459],"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":[0.00001150032,0.00007620692,0.1289364,0.0007903572,0.0003007113,0.00003536497,0.0007442232,0.1193594,0.7403774,0.0004128889,0.0009550218,0.008000491],"study_design_scores_gemma":[0.0005301019,0.00006842815,0.2867132,0.0004507268,0.00003392337,0.00001063716,0.00002637763,0.09242747,0.6143471,0.00004365748,0.004600691,0.0007476564],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926768,0.0004414895,0.00215285,0.0000265213,0.001130196,0.0001809848,0.00001282783,0.0008394556,0.002538909],"genre_scores_gemma":[0.993702,0.00005891702,0.005846303,0.000002042656,0.0002524828,0.0000119572,0.000002100548,0.00008576534,0.0000384554],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1577768,"threshold_uncertainty_score":0.999972,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2050303521","doi":"10.1260/030952407784079780","title":"Design of a Special-Purpose Airfoil for Smaller-Capacity Straight-Bladed VAWT","year":2007,"lang":"en","type":"article","venue":"Wind Engineering","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Windsor","funders":"","keywords":"Airfoil; Solidity; Vertical axis wind turbine; Aerodynamics; Turbine; Marine engineering; Engineering; Structural engineering; Aerospace engineering; Computer science","retraction":null,"screen_n_in":null,"score":{"opus":0.02947537677213142,"gpt":0.2115394482645932,"spread":0.1820640714924618,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004947952,0.0002254348,0.0002674025,0.000237289,0.00004034221,0.00002200815,0.0001984732,0.0001291896,0.00009580369],"category_scores_gemma":[0.00006425421,0.0002352728,0.00008437041,0.0002620268,0.0000216034,0.0001144099,0.0000266775,0.0001816037,0.00001355443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001138305,"about_ca_system_score_gemma":0.00003338524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004251003,"about_ca_topic_score_gemma":0.000005044954,"domain_scores_codex":[0.9985568,0.000006463691,0.0003562215,0.0001805929,0.0002487785,0.0006511664],"domain_scores_gemma":[0.999346,0.0001566445,0.00002304762,0.0002018311,0.00006116059,0.0002113137],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0000559807,0.0000346796,0.00003921271,0.0002831699,0.0001390315,0.0000150757,0.0005068049,0.8953001,0.09262972,0.0008385602,0.001397103,0.008760585],"study_design_scores_gemma":[0.002892519,0.0003255477,0.00961635,0.0002789801,0.00004145674,0.0000356044,0.0001510767,0.2928959,0.6262594,0.0004113156,0.06565838,0.001433429],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.13958,0.0001596282,0.8546525,0.00001432,0.0006830273,0.0003672213,0.00001148975,0.0003155509,0.004216225],"genre_scores_gemma":[0.919114,0.00003248482,0.079546,0.00000861106,0.0009608116,0.00002807054,0.00001113911,0.00007958651,0.0002192833],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.779534,"threshold_uncertainty_score":0.9594147,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2946918304","doi":"10.1177/0309524x19849860","title":"An innovative augmentation technique of savonius wind turbine performance","year":2019,"lang":"en","type":"article","venue":"Wind Engineering","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"York University","funders":"","keywords":"Turbine; Baffle; Aerodynamics; Torque; Marine engineering; Vertical axis wind turbine; Wells turbine; Rotor (electric); Turbulence; Draft tube; Tip-speed ratio; Engineering; Mechanics; Mechanical engineering; Aerospace engineering; Turbine blade; Physics","retraction":null,"screen_n_in":null,"score":{"opus":0.005382370927335658,"gpt":0.2033558296339422,"spread":0.1979734587066066,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001500527,0.0001493953,0.0001632183,0.0002205099,0.00001669999,0.00001559903,0.000140274,0.00007176559,0.0000888982],"category_scores_gemma":[0.00000755809,0.0001526988,0.00001993635,0.0004893958,0.00001075286,0.0003069609,0.00002170979,0.0001739284,0.0000310628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009351663,"about_ca_system_score_gemma":0.00002791359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006491167,"about_ca_topic_score_gemma":4.390806e-7,"domain_scores_codex":[0.999167,0.000005508794,0.0002181138,0.0001338896,0.0001996482,0.0002758051],"domain_scores_gemma":[0.9996261,0.00001548914,0.0000197759,0.000199294,0.0000659986,0.00007332661],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000009028528,0.0000124294,0.002625247,0.0001808963,0.00003211396,0.000001735843,0.0002911768,0.6357015,0.3584738,0.00008314331,0.00003356549,0.002555392],"study_design_scores_gemma":[0.0005425654,0.000193496,0.07662452,0.000171495,0.000003794464,0.0000111864,0.00007497903,0.1834907,0.7363697,0.000008699017,0.002128065,0.0003807681],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991967,0.00005177503,0.004999298,0.000005199782,0.0001906266,0.0002006545,0.00000413285,0.0002069756,0.002374311],"genre_scores_gemma":[0.9945423,0.00002121086,0.005215109,0.00000568206,0.00005583353,0.00001533199,0.00003114351,0.0000366153,0.00007677057],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4522108,"threshold_uncertainty_score":0.6226877,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1982500216","doi":"10.1260/0309-524x.34.4.375","title":"Vibration Analysis of 2.3 MW Wind Turbine Operation Using the Discrete Wavelet Transform","year":2010,"lang":"en","type":"article","venue":"Wind Engineering","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Windsor","funders":"","keywords":"Turbine; Vibration; Wind power; Wavelet; Discrete wavelet transform; Downtime; Tower; Rotor (electric); Daubechies wavelet; Energy (signal processing); Engineering; Continuous wavelet transform; Wavelet transform; Computer science; Acoustics; Structural engineering; Mathematics; Reliability engineering; Mechanical engineering; Electrical engineering; Artificial intelligence; Statistics; Physics","retraction":null,"screen_n_in":null,"score":{"opus":0.01074470437520319,"gpt":0.2540157516184873,"spread":0.2432710472432841,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001563081,0.0001643133,0.0002216044,0.000243449,0.00006355388,0.00003318681,0.0001540929,0.0001132611,0.00002808558],"category_scores_gemma":[0.00001810729,0.0001316701,0.00008894555,0.000573965,0.00001892765,0.0002351898,0.00001286036,0.0003159731,6.767023e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000570187,"about_ca_system_score_gemma":0.00001079802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006242717,"about_ca_topic_score_gemma":0.00002406827,"domain_scores_codex":[0.9991722,0.000006761849,0.0003069366,0.000124101,0.0001683912,0.000221659],"domain_scores_gemma":[0.9995655,0.0000423148,0.00002983035,0.0002753696,0.00003291301,0.00005402807],"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":[0.000002860586,0.000001893866,0.0001714704,0.00006562324,0.0001399083,6.303073e-7,0.0004926348,0.7584217,0.236449,0.0002108271,0.000007395651,0.004036078],"study_design_scores_gemma":[0.00007357366,0.00001237862,0.02749672,0.0000199237,0.0001493739,0.000003910536,0.00001995127,0.8774119,0.09442224,0.00001835767,0.0002257242,0.0001459539],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9582155,0.00004610341,0.04047828,0.00005277253,0.0005987281,0.0001926942,0.00001338601,0.0003129853,0.00008958987],"genre_scores_gemma":[0.9870702,0.00001343246,0.01260703,0.000006034064,0.000239972,0.000004958708,0.00001900683,0.00003522363,0.00000414818],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1420268,"threshold_uncertainty_score":0.5369349,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2905799417","doi":"10.1177/0309524x18819898","title":"Study on wake-induced fatigue on wind turbine blade based on elastic actuator line model and two-dimensional finite element model","year":2018,"lang":"en","type":"article","venue":"Wind Engineering","topic":"Wind Energy Research and Development","field":"Engineering","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 Waterloo","funders":"","keywords":"Wake; Turbine blade; Structural engineering; Turbine; Aerodynamics; Finite element method; Actuator; Engineering; Turbulence; Stress (linguistics); Mechanics; Aerodynamic force; Mechanical engineering; Physics","retraction":null,"screen_n_in":null,"score":{"opus":0.03558753081505221,"gpt":0.2608470252783084,"spread":0.2252594944632562,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002383633,0.0004766503,0.0003272641,0.0003958411,0.0001206576,0.00005900121,0.0001794837,0.0001076958,0.00002834964],"category_scores_gemma":[0.00008410996,0.0004357262,0.00005598512,0.0002296058,0.00002019057,0.00009693868,0.00006409839,0.000460599,0.00005782016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002113451,"about_ca_system_score_gemma":0.00007019661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005586497,"about_ca_topic_score_gemma":0.000005857883,"domain_scores_codex":[0.9977973,0.00001705333,0.0003514198,0.0004716336,0.0006718551,0.0006907802],"domain_scores_gemma":[0.9989784,0.000167956,0.00002607488,0.0004015296,0.00005896646,0.0003670552],"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":[0.0001026387,0.0002020581,0.00002362174,0.00002862554,0.00008556015,0.00002626986,0.0002859184,0.9882666,0.01024863,0.00007044374,0.0001529821,0.0005066853],"study_design_scores_gemma":[0.001864624,0.0009854216,0.001189217,0.0001662061,0.00001686611,0.000001300268,0.00001990429,0.9848076,0.01043739,0.00001867225,0.0000406566,0.0004521483],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9843119,0.00001194766,0.01391071,0.00007572655,0.0002885067,0.0003675725,0.00002265673,0.0003030722,0.0007078522],"genre_scores_gemma":[0.9961571,0.000002005324,0.003119629,0.0001484312,0.0003081217,0.00003905721,0.00002688541,0.0001072876,0.00009147991],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01184514,"threshold_uncertainty_score":0.9998094,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2146020811","doi":"10.1260/0309-524x.33.3.259","title":"Power Law Extrapolation of Wind Measurements for Predicting Wind Energy Production","year":2009,"lang":"en","type":"article","venue":"Wind Engineering","topic":"Wind and Air Flow Studies","field":"Environmental Science","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 Guelph","funders":"","keywords":"Anemometer; Extrapolation; Wind power; Wind speed; Environmental science; Meteorology; Turbine; Wind profile power law; Power law; Tower; Statistics; Engineering; Mathematics; Geography","retraction":null,"screen_n_in":null,"score":{"opus":0.01235553502068961,"gpt":0.1981574461526561,"spread":0.1858019111319665,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001567294,0.0001140563,0.0001159639,0.00002853871,0.00008978627,0.00000982763,0.0000701873,0.0000421415,0.00003589873],"category_scores_gemma":[0.00003698654,0.0001116763,0.00004680228,0.0001165437,0.00002371044,0.0002320481,0.00001981602,0.00004536737,0.000002885806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005843447,"about_ca_system_score_gemma":0.000002461518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002413792,"about_ca_topic_score_gemma":0.000004345704,"domain_scores_codex":[0.9992034,0.000005448875,0.0001786731,0.0001964373,0.0002124465,0.0002035852],"domain_scores_gemma":[0.9997771,0.00001123262,0.00004930019,0.0001125534,0.00001165906,0.00003817726],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00002195804,0.0000914449,0.01228073,0.00002535526,0.00004139337,5.834925e-7,0.0009413227,0.3208303,0.659536,0.0003954372,0.0004320673,0.005403369],"study_design_scores_gemma":[0.00169453,0.0005941928,0.5416628,0.0003661166,0.0001035332,0.00001493309,0.0002739686,0.02271971,0.3922718,0.0008091477,0.03841743,0.001071801],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896762,0.0001049619,0.003066998,0.0001764787,0.0004067904,0.0001811692,0.000003766504,0.00006877963,0.006314798],"genre_scores_gemma":[0.9984449,0.000002102227,0.001227772,0.00002714431,0.0001603684,0.000001955688,0.000003394022,0.00001116219,0.000121158],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5293821,"threshold_uncertainty_score":0.4554026,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2013457647","doi":"10.1260/030952406778606232","title":"Fuzzy Logic Based Vector Control of a Doubly-Fed Induction Generator in Wind Power Application","year":2006,"lang":"en","type":"article","venue":"Wind Engineering","topic":"Wind Turbine Control Systems","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Windsor","funders":"","keywords":"Control theory (sociology); PID controller; Wind power; Induction generator; Fuzzy logic; Vector control; Variable speed wind turbine; Controller (irrigation); Turbine; Fuzzy control system; Computer science; Engineering; Control engineering; Power (physics); Generator (circuit theory); Induction motor; Voltage; Physics; Temperature control; Control (management)","retraction":null,"screen_n_in":null,"score":{"opus":0.004547345950739697,"gpt":0.1714462778552823,"spread":0.1668989319045426,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00019283,0.0002490678,0.0003608785,0.0003014361,0.00001771896,0.00002358071,0.0001352372,0.0001799549,0.00001217388],"category_scores_gemma":[0.00002157305,0.0002685235,0.00007937869,0.0004104066,0.00001190322,0.0001455794,0.000008248014,0.0002074053,0.00001833169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001844492,"about_ca_system_score_gemma":0.00001965472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009595818,"about_ca_topic_score_gemma":0.00001203457,"domain_scores_codex":[0.9987379,0.00001790994,0.0004856624,0.0002267011,0.000195177,0.0003367031],"domain_scores_gemma":[0.9994972,0.00004192728,0.00006234655,0.0002913266,0.00004746323,0.00005970202],"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":[0.00001248907,0.00002225342,0.001594454,0.0000697087,0.0000175683,0.000003193758,0.000023907,0.7047296,0.2928635,0.0005211797,0.00004382262,0.00009842542],"study_design_scores_gemma":[0.004138839,0.00007473862,0.0944763,0.0001109712,0.00003515409,0.000011022,0.00001633115,0.8771352,0.0205374,0.0000776361,0.002758392,0.0006280411],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9318393,0.0008137072,0.0645633,0.00006503455,0.0006827515,0.0006409403,0.00002033034,0.0004071643,0.0009674935],"genre_scores_gemma":[0.9988983,9.035285e-7,0.0005193846,0.00001251509,0.0004154198,0.00005503131,0.00002092586,0.00006599784,0.00001157719],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2723261,"threshold_uncertainty_score":0.9999767,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2072862367","doi":"10.1260/0309-524x.35.3.339","title":"Preliminary Assessment of Wind Turbine Blade Lift Control via Plasma Actuation","year":2011,"lang":"en","type":"article","venue":"Wind Engineering","topic":"Plasma and Flow Control in Aerodynamics","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"École de Technologie Supérieure; Polytechnique Montréal","funders":"","keywords":"Plasma actuator; Aerodynamics; Lift (data mining); Airfoil; Actuator; Lift coefficient; Turbine; Wind tunnel; Boundary layer; Computational fluid dynamics; Flow control (data); Marine engineering; Blade pitch; Aerospace engineering; Angle of attack; Flow separation; Turbine blade; Wind power; Engineering; Mechanics; Plasma; Physics; Computer science; Electrical engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.007509245629112436,"gpt":0.1854271333206891,"spread":0.1779178876915767,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001491364,0.0002596963,0.0003317113,0.0001645428,0.00002577537,0.00001359487,0.0001925797,0.0001573838,0.00006090654],"category_scores_gemma":[0.00002747697,0.0002776486,0.00009387386,0.0001527889,0.00001973374,0.0002153636,0.00002385443,0.000269497,0.00001541023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008575054,"about_ca_system_score_gemma":0.0000175316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008642885,"about_ca_topic_score_gemma":0.000002466913,"domain_scores_codex":[0.9988921,0.00000950797,0.0003821464,0.0001768545,0.0001949566,0.0003443765],"domain_scores_gemma":[0.9994387,0.00008877945,0.00005174733,0.0002713859,0.00004041979,0.0001089753],"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":[0.00002886171,0.0000448004,0.0007859639,0.0001303965,0.0001890882,0.00001527841,0.00034294,0.8904387,0.1054906,0.0002629819,0.00003649895,0.002233823],"study_design_scores_gemma":[0.0009285808,0.0001118782,0.05632442,0.00005553083,0.00006767814,0.00001594566,0.00001287108,0.9377075,0.004316435,0.00002019765,0.0001786496,0.0002602411],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7878425,0.0001096184,0.2075955,0.00001210743,0.0007646998,0.0002536614,0.00002597203,0.000357673,0.003038298],"genre_scores_gemma":[0.9934534,0.00001948631,0.006271705,0.000009050555,0.0001215531,0.00001194571,0.00001735546,0.00006568464,0.00002978183],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2056109,"threshold_uncertainty_score":0.9999676,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2008410748","doi":"10.1260/0309-524x.39.2.193","title":"Wind Resource Assessment in Complex Urban Environment","year":2015,"lang":"en","type":"article","venue":"Wind Engineering","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Western University","funders":"","keywords":"Wind power; Environmental science; Meteorology; Resource (disambiguation); Marine engineering; Civil engineering; Computer science; Engineering; Geography","retraction":null,"screen_n_in":null,"score":{"opus":0.01850372132316793,"gpt":0.21171066271633,"spread":0.1932069413931621,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002020645,0.0001452779,0.0001457884,0.00003594021,0.0000379369,0.00001707525,0.0001450444,0.00003765268,0.0003240874],"category_scores_gemma":[0.00001088533,0.0001399109,0.00002996018,0.0001124032,0.00004104989,0.00009840754,0.0002079953,0.0001540384,0.0002534999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003160188,"about_ca_system_score_gemma":0.000004504905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005445756,"about_ca_topic_score_gemma":0.00000484699,"domain_scores_codex":[0.9990079,0.00001429832,0.0001629394,0.0002293127,0.0002768971,0.0003086569],"domain_scores_gemma":[0.9996548,0.00001713424,0.00002123643,0.0001756194,0.000001015049,0.0001301458],"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":[0.000005217244,0.00009694925,0.1683279,0.00000922941,0.00001455977,0.00003900136,0.00151891,0.8061147,0.005793595,0.00008659935,0.0161258,0.001867529],"study_design_scores_gemma":[0.0005195761,0.00004908642,0.5459024,0.00001577802,0.000005266843,0.000004464024,0.0003093875,0.02338464,0.0001347031,0.00002319648,0.4293862,0.0002652234],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9706382,0.00009538538,0.0007010759,0.0005202658,0.00009832645,0.0001653935,0.000003795045,0.00007205466,0.02770557],"genre_scores_gemma":[0.9968202,0.000003895632,0.002523707,0.00007706562,0.00009521554,0.000004742303,0.000006238274,0.00001731215,0.00045162],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.78273,"threshold_uncertainty_score":0.57054,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3042537380","doi":"10.1177/0309524x20938858","title":"Deep dynamic stall and active aerodynamic modification on a S833 airfoil using pitching trailing edge flap","year":2020,"lang":"en","type":"article","venue":"Wind Engineering","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Stall (fluid mechanics); Trailing edge; Airfoil; Pitching moment; Aerodynamics; Turbine; Turbine blade; Leading edge; Wing; Lift coefficient; Structural engineering; Mechanics; Angle of attack; Wind power; Engineering; Physics; Aerospace engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.01651537878051297,"gpt":0.2195250444007402,"spread":0.2030096656202272,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00009276017,0.0002687024,0.0002232519,0.0001602763,0.00008840644,0.00007366546,0.0001350178,0.00009844967,0.00001118],"category_scores_gemma":[0.00004948346,0.0002962981,0.00004774363,0.0002562836,0.00001488716,0.0002382791,0.00004722781,0.0003815597,0.00001509444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001841182,"about_ca_system_score_gemma":0.0000258252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009425972,"about_ca_topic_score_gemma":0.000006619281,"domain_scores_codex":[0.9987551,0.00001248718,0.0002277949,0.0003094531,0.0002276414,0.0004675247],"domain_scores_gemma":[0.9994819,0.00005002151,0.00002077347,0.0001477518,0.00002274544,0.0002768384],"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":[0.00001513075,0.000006597033,0.00001972166,0.0001289103,0.0000521469,0.00001160106,0.00107991,0.8657609,0.1239573,0.00006505521,0.000003572632,0.008899228],"study_design_scores_gemma":[0.0003205512,0.00003319802,0.003726812,0.00008453766,0.0000101674,0.000008455479,0.0001578098,0.9928206,0.00228742,0.00001117145,0.0002225723,0.0003167624],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8714486,0.0002526202,0.1270992,0.00007497346,0.0001573225,0.000132097,0.000005573272,0.0004061183,0.0004234148],"genre_scores_gemma":[0.9943331,0.00007026838,0.005325999,0.00003337935,0.0001164162,0.00001084697,0.00002134952,0.00008057739,0.000007997415],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1270597,"threshold_uncertainty_score":0.9999489,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2360137601","doi":"10.1177/0309524x16645484","title":"Modelling load and vibrations due to iced turbine operation","year":2016,"lang":"en","type":"article","venue":"Wind Engineering","topic":"Icing and De-icing Technologies","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":"Centre Intégré de Santé et Services Sociaux de la Gaspésie","funders":"Tekes","keywords":"Turbine; Icing; Aerodynamics; Airfoil; Rotor (electric); Aeroelasticity; Marine engineering; Turbine blade; Engineering; Wind power; Environmental science; Structural engineering; Vibration; Aerospace engineering; Mechanical engineering; Meteorology; Physics; Acoustics; Electrical engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.008973475883554603,"gpt":0.1789329898334125,"spread":0.1699595139498579,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006917708,0.0001245183,0.0001179055,0.0001153548,0.00004326126,0.00003755825,0.00006806017,0.00007264908,0.000004915066],"category_scores_gemma":[0.00004204682,0.0001010973,0.00001587278,0.0001179121,0.000007209294,0.0001584707,0.00002760028,0.00007523369,0.0000344342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006391697,"about_ca_system_score_gemma":0.000006436509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001318622,"about_ca_topic_score_gemma":0.000002533682,"domain_scores_codex":[0.9994629,0.00000212919,0.000126944,0.000130083,0.00008200122,0.0001959156],"domain_scores_gemma":[0.9997205,0.00003678613,0.000005897758,0.0001624089,0.00002065453,0.00005378964],"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":[0.000001173297,0.000001580739,0.00001289706,0.00001778179,0.000009079456,0.000002723422,0.0001580129,0.9529301,0.03804508,0.0005011131,0.0001795627,0.008140895],"study_design_scores_gemma":[0.0001757344,0.00002053269,0.0001832098,0.0001131426,0.000006464521,0.00001439997,0.00001529167,0.906464,0.09127937,0.00006406322,0.001455396,0.0002083765],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2923251,0.00005536031,0.7059047,0.0002362416,0.0001552728,0.00006555284,0.000002603913,0.0009990619,0.0002560659],"genre_scores_gemma":[0.9836615,0.00002617992,0.01609877,0.00001721284,0.0000803743,0.000009734043,0.000001140918,0.00003072659,0.00007430281],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6913365,"threshold_uncertainty_score":0.4122626,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1974953796","doi":"10.1260/0309-524x.38.4.359","title":"Design Procedure for Tubular Lattice Towers for Small Wind Turbines","year":2014,"lang":"en","type":"article","venue":"Wind Engineering","topic":"Vibration and Dynamic Analysis","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Deflection (physics); Turbine; Tower; Structural engineering; Wind power; Buckling; Wind speed; Engineering; Marine engineering; Meteorology; Aerospace engineering; Physics; Electrical engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.01123249490697678,"gpt":0.1907994852432132,"spread":0.1795669903362364,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001611221,0.0001929055,0.0002087403,0.0001129532,0.00005343141,0.00004889933,0.0001221147,0.000103795,0.00001283096],"category_scores_gemma":[0.0001273761,0.0001998647,0.0001052757,0.0001446111,0.000006676379,0.0001063877,0.000008547464,0.00007645644,0.000007335962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003769403,"about_ca_system_score_gemma":0.0000106217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001142631,"about_ca_topic_score_gemma":0.000001524578,"domain_scores_codex":[0.9992517,0.000004749821,0.0001957446,0.0001787894,0.00007279026,0.000296206],"domain_scores_gemma":[0.9995478,0.000136486,0.00001941472,0.0001625711,0.00004722612,0.00008647211],"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":[0.000007144182,0.000005146114,0.00001832561,0.0002378315,0.00007594631,2.606124e-7,0.0001327403,0.9929814,0.004647519,0.0003766109,0.0004459108,0.001071109],"study_design_scores_gemma":[0.0004208506,0.00003783618,0.00006343595,0.00002975417,0.00007090789,0.000002468502,0.00002436508,0.9819095,0.00319057,0.0001007642,0.01389688,0.0002526683],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01135095,0.0001234116,0.9871938,0.00008651061,0.0002725891,0.0003874098,0.000007296932,0.0004059774,0.0001720166],"genre_scores_gemma":[0.8720349,0.00001030932,0.1268016,0.00008498815,0.0004218789,0.0000810785,0.00004555821,0.0001105335,0.0004091463],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.860684,"threshold_uncertainty_score":0.8150245,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2152605411","doi":"10.1260/0309524054353719","title":"Study of Atmospheric Boundary Layer Flows over a Coastal Cliff","year":2005,"lang":"en","type":"article","venue":"Wind Engineering","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Wind Energy Institute of Canada; Université de Moncton","funders":"","keywords":"Planetary boundary layer; Cliff; Meteorology; Marine engineering; Environmental science; Boundary layer; Wind power; Turbine; Geology; Flow (mathematics); Mechanics; Geography; Engineering; Physics; Aerospace engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.007317157042307861,"gpt":0.2033473056041762,"spread":0.1960301485618683,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000675691,0.000122105,0.0001467019,0.000006162204,0.00005822462,0.00001213162,0.0001080418,0.0000267025,0.0005290693],"category_scores_gemma":[0.000008867098,0.0001102354,0.00004034495,0.0001513081,0.00002369865,0.0001445826,0.0001535084,0.00008672383,0.0001047099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000407406,"about_ca_system_score_gemma":0.00000294043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008785859,"about_ca_topic_score_gemma":0.0001557175,"domain_scores_codex":[0.999253,0.000006254203,0.0001606039,0.0001647383,0.0002048689,0.0002104924],"domain_scores_gemma":[0.9997658,0.0000152344,0.00002380399,0.0001426039,0.000002587538,0.00004996253],"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":[0.00001587981,0.0006248059,0.1859854,0.00002079087,0.00008984229,0.00002562589,0.005589108,0.7698059,0.02015255,0.00000914651,0.002100716,0.01558026],"study_design_scores_gemma":[0.001088272,0.0002318365,0.879837,0.00002509258,0.00003000807,0.000007272563,0.0008338252,0.04679024,0.0005918308,0.000004090415,0.07019529,0.0003652018],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973577,0.00006549831,0.0001445912,0.00003036211,0.0001225872,0.0001103754,0.000002672885,0.00004897243,0.002117263],"genre_scores_gemma":[0.9979613,0.000003917681,0.001508734,0.000026778,0.0001338666,0.000005227728,6.174525e-7,0.00001585262,0.0003436931],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7230157,"threshold_uncertainty_score":0.5792938,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2185526110","doi":"10.1260/0309-524x.39.5.549","title":"On Electrodynamic Braking for Small Wind Turbines","year":2015,"lang":"en","type":"article","venue":"Wind Engineering","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Trinity College","funders":"Trinity College Dublin","keywords":"Wind power; Turbine; Automotive engineering; Rotor (electric); Transient (computer programming); Brake; Torque; Generator (circuit theory); Dynamic braking; Power (physics); Induction generator; Electric generator; Engineering; Control theory (sociology); Computer science; Electrical engineering; Mechanical engineering; Physics","retraction":null,"screen_n_in":null,"score":{"opus":0.01306841796605777,"gpt":0.2359399018448492,"spread":0.2228714838787914,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001820597,0.0002843675,0.0002393349,0.0002169135,0.00002722802,0.00005120446,0.0002197668,0.000119837,0.000007095385],"category_scores_gemma":[0.0001853492,0.0003031064,0.00008392878,0.000183745,0.000006951947,0.0001066392,0.00002425104,0.000233714,0.00001846107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001790185,"about_ca_system_score_gemma":0.00001355236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009976962,"about_ca_topic_score_gemma":0.000007892308,"domain_scores_codex":[0.9989616,0.000005638003,0.000219013,0.0002203551,0.0001364525,0.0004569737],"domain_scores_gemma":[0.9993957,0.0001309545,0.00002065482,0.0002716122,0.00003960123,0.0001414582],"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":[0.00001252427,0.00002602071,0.0002152435,0.0001674824,0.00005910183,0.000007562458,0.0001577451,0.9734529,0.01529438,0.002883339,0.004622733,0.003101009],"study_design_scores_gemma":[0.0007161216,0.0001992153,0.0009956572,0.0001682084,0.00002790344,0.00001978423,0.0000101912,0.947441,0.0291992,0.0009082625,0.01963335,0.0006810584],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.909347,0.0004243751,0.08250182,0.0000844844,0.0008101318,0.0005588582,0.00001770775,0.003128924,0.003126672],"genre_scores_gemma":[0.9887761,0.00001071386,0.0105676,0.00005049465,0.0003230272,0.00005596723,0.00002429251,0.0001370382,0.00005473595],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0794291,"threshold_uncertainty_score":0.9999421,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2169025442","doi":"10.1260/0309-524x.34.3.241","title":"Small Wind Turbines for Remote Power and Distributed Generation","year":2010,"lang":"en","type":"article","venue":"Wind Engineering","topic":"Wind Energy Research and Development","field":"Engineering","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 Calgary","funders":"","keywords":"Wind power; Tower; Electricity generation; Electricity; Production (economics); Marine engineering; Distributed generation; Power (physics); Environmental science; Automotive engineering; Engineering; Electrical engineering; Renewable energy; Meteorology; Civil engineering; Geography; Economics","retraction":null,"screen_n_in":null,"score":{"opus":0.01294081760517987,"gpt":0.1981097291160381,"spread":0.1851689115108582,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001113976,0.0001537332,0.0001220805,0.00008351303,0.00005264538,0.00006578762,0.00007680034,0.0001004725,0.00001919052],"category_scores_gemma":[0.00006659637,0.0001526762,0.00003173254,0.00009968564,0.00001136439,0.00009069044,0.00002372753,0.0001793839,0.000005159683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002320582,"about_ca_system_score_gemma":0.00001298958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005971272,"about_ca_topic_score_gemma":0.00001519284,"domain_scores_codex":[0.9992922,0.000002193369,0.0001404477,0.0001529322,0.00008709803,0.0003251476],"domain_scores_gemma":[0.9996375,0.00003102709,0.000008062848,0.0001387321,0.00003643453,0.0001482022],"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":[0.0000103205,0.00001063153,0.0002793615,0.0001324298,0.00008906423,0.000009631299,0.0001797285,0.4015737,0.584668,0.0005397516,0.002116595,0.01039087],"study_design_scores_gemma":[0.0006457004,0.00003904267,0.01157316,0.0000268175,0.000009939306,0.00002867143,0.0000150872,0.8651784,0.0434656,0.00006739214,0.07849254,0.0004576324],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9361994,0.0001356684,0.06217131,0.00007512921,0.000742714,0.0001424296,0.00002353126,0.0002532367,0.0002565631],"genre_scores_gemma":[0.9817047,0.00001908341,0.01766761,0.00001136602,0.0003700878,0.000006493148,0.00008609182,0.00004202755,0.00009259039],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5412024,"threshold_uncertainty_score":0.6225956,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2177490610","doi":"10.1260/0309524011495818","title":"PWM Control Strategies for Wind Turbine Inverters","year":2001,"lang":"en","type":"article","venue":"Wind Engineering","topic":"Microgrid Control and Optimization","field":"Engineering","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 New Brunswick","funders":"","keywords":"Pulse-width modulation; Turbine; Inverter; Control theory (sociology); Insulated-gate bipolar transistor; Waveform; Vector control; Engineering; Total harmonic distortion; Wind power; Field (mathematics); Harmonic; Control (management); Computer science; Electronic engineering; Voltage; Electrical engineering; Physics; Mathematics; Aerospace engineering; Induction motor","retraction":null,"screen_n_in":null,"score":{"opus":0.00479277919406868,"gpt":0.1681985679108614,"spread":0.1634057887167927,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006556841,0.0001878558,0.0001913654,0.00009786401,0.00003523359,0.00007624689,0.0001049039,0.00008311677,0.00003703082],"category_scores_gemma":[0.00001191181,0.0001963975,0.00007221998,0.0001291536,0.000008275943,0.0002555581,0.000006208179,0.000101352,0.00001385809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000440841,"about_ca_system_score_gemma":0.00001109037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004967952,"about_ca_topic_score_gemma":0.000003178206,"domain_scores_codex":[0.9992689,0.000003111866,0.0001854651,0.0001350761,0.00007473549,0.0003327196],"domain_scores_gemma":[0.9997044,0.00003724782,0.00001463152,0.0001372375,0.00002930619,0.00007722534],"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":[0.00001218385,0.000005093059,0.00007544192,0.00005158567,0.000060288,0.000003991503,0.00009775312,0.9827905,0.01214661,0.0002071956,0.0004906848,0.004058676],"study_design_scores_gemma":[0.001178989,0.00002548609,0.000513188,0.00002448661,0.00002704793,0.00001101438,0.0000451002,0.974527,0.0002971169,0.00004890474,0.02306311,0.000238568],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0862083,0.002067089,0.9079521,0.0001338374,0.0009730937,0.0004822758,0.00002625203,0.0009764316,0.001180572],"genre_scores_gemma":[0.9973486,0.0001054603,0.001974351,0.00006435786,0.0003561114,0.00001929947,0.00002164424,0.00005722076,0.00005296755],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9111403,"threshold_uncertainty_score":0.8008858,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2004806133","doi":"10.1260/0309-524x.33.1.1","title":"Performance Comparison of Grid Connected Small Wind Energy Conversion Systems","year":2009,"lang":"en","type":"article","venue":"Wind Engineering","topic":"Wind Turbine Control Systems","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Topology (electrical circuits); Wind power; Network topology; Turbine; Rectifier (neural networks); Small wind turbine; Grid; Renewable energy; Computer science; Engineering; Electrical engineering; Control theory (sociology); Mechanical engineering; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.008405137421407229,"gpt":0.1746671785469871,"spread":0.1662620411255799,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001189419,0.0002894478,0.0005438391,0.0002109476,0.00003509866,0.00003023296,0.0002303634,0.0001618816,0.00001038354],"category_scores_gemma":[0.00001949131,0.0003065092,0.00008127642,0.0002815834,0.00001174705,0.0001517503,0.00001742999,0.0001955625,0.00001628612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001016889,"about_ca_system_score_gemma":0.00001227198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003736457,"about_ca_topic_score_gemma":0.000001154113,"domain_scores_codex":[0.9986434,0.00001521814,0.0005297531,0.0001947341,0.000212643,0.0004042248],"domain_scores_gemma":[0.9993604,0.00005942039,0.00007380899,0.000315447,0.00006448267,0.0001264115],"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":[0.00001122054,0.00001923801,0.002065189,0.0002968477,0.00005984549,0.000004607533,0.0001657647,0.9431498,0.05267646,0.0001781732,0.0004211838,0.0009516848],"study_design_scores_gemma":[0.0007470319,0.0001141066,0.01088276,0.0002725029,0.00002725171,0.0000176432,0.00004871928,0.9638087,0.01656108,6.127303e-7,0.00717818,0.0003414228],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897527,0.001917898,0.003701905,0.00001374191,0.002070724,0.0001782918,0.00001009125,0.000600024,0.001754652],"genre_scores_gemma":[0.9992213,0.00002365442,0.0001292147,0.000006655733,0.0004853543,0.00000374821,0.00002273659,0.00004788709,0.00005950324],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03611538,"threshold_uncertainty_score":0.9999387,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2155400858","doi":"10.1260/0309-524x.34.2.219","title":"Generalized Gain Scheduling for Deloaded Wind Turbine Operation","year":2010,"lang":"en","type":"article","venue":"Wind Engineering","topic":"Wind Turbine Control Systems","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Polytechnique Montréal; Opal-Rt Technologies (Canada)","funders":"","keywords":"Turbine; Gain scheduling; Control theory (sociology); Voltage droop; Wind power; Linearization; Scheduling (production processes); Engineering; Computer science; Control engineering; Control system; Nonlinear system; Electrical engineering; Aerospace engineering; Voltage; Control (management)","retraction":null,"screen_n_in":null,"score":{"opus":0.00822009623157519,"gpt":0.202242960131496,"spread":0.1940228638999208,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002795263,0.0003122138,0.0003308715,0.0001728473,0.00007540373,0.0001139961,0.0002093487,0.0002150985,0.0000443176],"category_scores_gemma":[0.0001195839,0.0003300134,0.000119158,0.0001614753,0.00001010025,0.0002646918,0.00002163463,0.0003706605,0.00004032354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000606588,"about_ca_system_score_gemma":0.00001969831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001211277,"about_ca_topic_score_gemma":0.00001099342,"domain_scores_codex":[0.9986805,0.000008098177,0.0003917617,0.0002592016,0.0001628551,0.0004975416],"domain_scores_gemma":[0.9993496,0.00007160153,0.00002976772,0.000333086,0.00005969244,0.000156243],"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":[0.000004391743,0.000004466298,0.00004274651,0.00006691861,0.00003877808,0.000001931046,0.00007754879,0.5879843,0.4106184,0.0005716719,0.0001350106,0.0004538929],"study_design_scores_gemma":[0.001367987,0.00001875034,0.0004799953,0.000036548,0.00002289598,0.00002033179,0.00001102579,0.9476253,0.03950215,0.00002269739,0.01048376,0.0004085052],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8823451,0.0003622354,0.1122629,0.0001080569,0.00302687,0.0006277662,0.0000203277,0.0009204824,0.0003262657],"genre_scores_gemma":[0.9777275,0.000004288112,0.020052,0.00002814655,0.001828703,0.00006205862,0.00004980796,0.0001342159,0.0001133003],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3711162,"threshold_uncertainty_score":0.9999152,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2133426918","doi":"10.1260/0309-524x.35.3.369","title":"Wind Speed Prediction for a Target Station Using Neural Networks and Particle Swarm Optimization","year":2011,"lang":"en","type":"article","venue":"Wind Engineering","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Université de Moncton","funders":"","keywords":"Particle swarm optimization; Artificial neural network; MATLAB; Wind speed; Computer science; Meteorology; Artificial intelligence; Machine learning; Geography","retraction":null,"screen_n_in":null,"score":{"opus":0.0196548001702931,"gpt":0.1906000481606321,"spread":0.170945247990339,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000871496,0.0001313819,0.0001046689,0.00005294344,0.00005702615,0.00003058218,0.00003620621,0.00006882456,0.00001044486],"category_scores_gemma":[0.00001639661,0.0001489733,0.00002710315,0.0001208561,0.000007022559,0.0002894633,0.000010701,0.00008226148,2.683171e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003196327,"about_ca_system_score_gemma":0.000003019082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009528635,"about_ca_topic_score_gemma":7.249069e-7,"domain_scores_codex":[0.9993891,0.000004700393,0.0001763437,0.0001232541,0.00005695949,0.0002496268],"domain_scores_gemma":[0.9997876,0.00002384694,0.00002145687,0.00007265755,0.00002225105,0.00007224156],"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":[0.000008159021,0.000004650477,0.0008338096,0.00004069023,0.00002066367,0.000001074808,0.000428222,0.9965232,0.00169188,0.00004955108,0.000009137069,0.00038894],"study_design_scores_gemma":[0.0002818948,0.00003087406,0.0007410347,0.00003270487,0.00002147584,0.000006887232,0.00003034885,0.9961034,0.002527171,0.000009606818,0.00006921432,0.0001453992],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5165926,0.0001454223,0.4822887,0.000001568638,0.0006122256,0.00009108685,0.000007121677,0.0002055674,0.00005569288],"genre_scores_gemma":[0.973027,0.00001204336,0.02662533,0.00000582711,0.0002422851,0.000002015598,0.00003026834,0.00004785418,0.000007395943],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4564344,"threshold_uncertainty_score":0.6074956,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2817964986","doi":"10.1177/0309524x18780399","title":"Wind resource assessment of Cuba in future climate scenarios","year":2018,"lang":"en","type":"article","venue":"Wind Engineering","topic":"Climate variability and models","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"HadCM3; Wind speed; Environmental science; Climate model; Climatology; Meteorology; Downscaling; Wind power; Climate change; Maximum sustained wind; Wind resource assessment; General Circulation Model; Geography; Wind direction; GCM transcription factors; Geology; Engineering; Oceanography; Wind gradient; Precipitation","retraction":null,"screen_n_in":null,"score":{"opus":0.00819196840779751,"gpt":0.2284941080418703,"spread":0.2203021396340728,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003152325,0.0001020997,0.0001408662,0.00004276006,0.00003298275,0.0000100825,0.0001434357,0.00007135497,0.0005394323],"category_scores_gemma":[0.00001319751,0.0001003265,0.00003328361,0.0002235894,0.00005324997,0.0001142084,0.0001458164,0.0001303727,0.00003418457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001170964,"about_ca_system_score_gemma":0.000005406327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006288646,"about_ca_topic_score_gemma":0.00003871016,"domain_scores_codex":[0.9991459,0.00001422521,0.000199979,0.000200216,0.00016483,0.0002748864],"domain_scores_gemma":[0.9996489,0.0000263979,0.00003205995,0.0002329084,0.000003707823,0.00005606234],"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":[0.00001525207,0.0001322925,0.1308127,0.00008118862,0.00001022834,0.00000727848,0.001713964,0.8046221,0.05988226,0.0007126342,0.0001871813,0.001822888],"study_design_scores_gemma":[0.0005690834,0.0001172656,0.4843802,0.0001087497,0.00001235805,0.000006943712,0.0002241273,0.4847683,0.001786107,0.00006384165,0.02763305,0.0003299681],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917715,0.000009736807,0.000430467,0.0001208409,0.0001332138,0.0001098537,0.000006264522,0.00003110377,0.007387029],"genre_scores_gemma":[0.996516,0.00001005958,0.003280125,0.00003762485,0.0001158357,0.000001910843,0.000003355684,0.00001269281,0.00002242603],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3535675,"threshold_uncertainty_score":0.5906405,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2134209384","doi":"10.1260/0309524042886342","title":"A Novel Steady State Wind Turbine Simulator Using an Inverter Controlled Induction Motor","year":2004,"lang":"en","type":"article","venue":"Wind Engineering","topic":"Real-time simulation and control systems","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of New Brunswick","funders":"","keywords":"Turbine; Torque; Wind power; Direct torque control; Engineering; Stator; Drivetrain; Wind speed; Control theory (sociology); Automotive engineering; Inverter; Computer science; Induction motor; Electrical engineering; Mechanical engineering; Voltage; Control (management); Physics","retraction":null,"screen_n_in":null,"score":{"opus":0.01594304178718389,"gpt":0.2153590332565504,"spread":0.1994159914693665,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001942503,0.0003538432,0.0005052047,0.0002663606,0.00006598044,0.0001713803,0.0001382126,0.0001532058,0.00003030529],"category_scores_gemma":[0.00003079554,0.0003548176,0.000124265,0.0002454472,0.00001303089,0.0008660061,0.00001689324,0.0002517113,0.00003320844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000288683,"about_ca_system_score_gemma":0.00003230877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001047948,"about_ca_topic_score_gemma":0.000006858531,"domain_scores_codex":[0.9984719,0.00001489154,0.0005146477,0.0002733444,0.0002727825,0.0004524997],"domain_scores_gemma":[0.9992911,0.00003299347,0.00006054495,0.0003186903,0.00006573669,0.000230926],"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":[0.00003441845,0.00002832217,0.00002112671,0.0000353199,0.00009308355,0.000004193896,0.0003057824,0.7271899,0.271918,0.00003132389,0.000001605093,0.0003369497],"study_design_scores_gemma":[0.007551483,0.00005443847,0.001104804,0.00008041538,0.00003838021,0.00002406209,0.00007353728,0.98897,0.001371832,0.00001719632,0.0003090848,0.0004048086],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8924115,0.0001211485,0.1051754,0.00001360503,0.0008997584,0.0005635758,0.00001218719,0.0006328964,0.0001700062],"genre_scores_gemma":[0.9983606,0.000002829068,0.0009120947,0.00002890061,0.0004918607,0.00001116458,0.00001415623,0.0001141358,0.0000642695],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2705462,"threshold_uncertainty_score":0.9998904,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2060877164","doi":"10.1260/0309-524x.38.1.1","title":"An Operational Application of NWP Models in a Wind Power Forecasting Demonstration Experiment","year":2014,"lang":"en","type":"article","venue":"Wind Engineering","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"TransCanada (Canada); Hydro-Québec; Environment and Climate Change Canada","funders":"Hydro-Québec; Government of Canada","keywords":"Wind speed; Wind power; Anemometer; Meteorology; Environmental science; Terrain; Mean squared error; Turbine; Marine engineering; Mathematics; Engineering; Statistics; Geography; Aerospace engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.02246464897920435,"gpt":0.2125913320535529,"spread":0.1901266830743485,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001906858,0.00005999364,0.00008105174,0.00005819989,0.0000317468,0.00001507481,0.00006113164,0.00003662384,0.00009983504],"category_scores_gemma":[0.00001845334,0.00005407518,0.00001426092,0.00009628733,0.000009093575,0.0002336657,0.000002375244,0.00004867074,0.000003778647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003749519,"about_ca_system_score_gemma":0.000006982979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008355278,"about_ca_topic_score_gemma":0.00002503697,"domain_scores_codex":[0.999485,0.00001750583,0.000174135,0.0001167245,0.0001000652,0.0001065359],"domain_scores_gemma":[0.999775,0.00005709913,0.00002578198,0.00008050452,0.00001514975,0.00004649953],"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":[0.000003818667,0.000009634354,0.02457506,0.0000029391,0.000001528182,1.153571e-7,0.0001910152,0.9679062,0.002219205,0.001743987,3.230917e-7,0.003346222],"study_design_scores_gemma":[0.00009924405,0.00005471472,0.1129576,0.000003935201,0.00000114081,6.309082e-7,0.00002154741,0.8859561,0.0001334536,0.0006828919,0.00003280857,0.00005587954],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8957555,0.00003590426,0.1024724,0.00001479579,0.00003417894,0.00009224018,0.000003829021,0.00001506101,0.001576088],"genre_scores_gemma":[0.9936665,5.758019e-7,0.006218184,0.00001734961,0.00003864319,0.000001199582,0.00005375863,0.00000192942,0.00000182634],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09791107,"threshold_uncertainty_score":0.2205122,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2071959202","doi":"10.1260/0309-524x.37.4.381","title":"BEM Simulation and Performance Analysis of a Small Wind Turbine Rotor","year":2013,"lang":"en","type":"article","venue":"Wind Engineering","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Guelph","funders":"","keywords":"Wake; Airfoil; Turbine; Stall (fluid mechanics); Marine engineering; Rotor (electric); Drag; Chord (peer-to-peer); Aerospace engineering; Wind tunnel; Turbine blade; Engineering; Environmental science; Mechanical engineering; Computer science","retraction":null,"screen_n_in":null,"score":{"opus":0.009773627994586769,"gpt":0.1937167867013063,"spread":0.1839431587067195,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000736477,0.0001270624,0.0002028526,0.0003404497,0.00002113735,0.00002658648,0.00007144648,0.00005558475,0.00008616335],"category_scores_gemma":[0.00001773797,0.0001234504,0.00004202567,0.0004938818,0.00001037352,0.0001542835,0.00002819817,0.00009529104,0.00001037403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003521427,"about_ca_system_score_gemma":0.00000702648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002600578,"about_ca_topic_score_gemma":0.000002802458,"domain_scores_codex":[0.9993176,0.000003434403,0.0001910936,0.0001139602,0.0001289858,0.0002448822],"domain_scores_gemma":[0.9996597,0.00004143475,0.00001381538,0.0001343442,0.00003950437,0.0001112028],"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":[0.000002307602,0.000004531585,0.006608367,0.00008429013,0.0002583056,7.02819e-7,0.0001426735,0.9852904,0.003281636,0.000007363837,0.00001303611,0.004306364],"study_design_scores_gemma":[0.0001024756,0.00001568098,0.2696914,0.00001751564,0.00003032103,4.98618e-7,0.000007710509,0.7284362,0.001291034,0.000001338267,0.0003037304,0.0001021457],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945135,0.0001700906,0.004650444,0.000008028161,0.00005538036,0.0001079229,0.000002559564,0.0001034782,0.0003886331],"genre_scores_gemma":[0.9976445,0.00003078778,0.002159141,0.000004080734,0.00004285203,0.00001042303,0.00001311425,0.00002021557,0.00007491333],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.263083,"threshold_uncertainty_score":0.5034161,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2119213898","doi":"10.1260/0309-524x.35.1.93","title":"Power Electronics Reliability Comparison of Grid Connected Small Wind Energy Conversion Systems","year":2011,"lang":"en","type":"article","venue":"Wind Engineering","topic":"Multilevel Inverters and Converters","field":"Engineering","cited_by":11,"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":"Small wind turbine; Power optimizer; Wind power; Mean time between failures; Turbine; Engineering; Rectifier (neural networks); Electrical engineering; Electric power system; Permanent magnet synchronous generator; Power electronics; Maximum power principle; Power (physics); Maximum power point tracking; Automotive engineering; Inverter; Computer science; Photovoltaic system; Magnet; Voltage; Reliability engineering; Mechanical engineering; Physics; Failure rate","retraction":null,"screen_n_in":null,"score":{"opus":0.01510054322364364,"gpt":0.18134639932099,"spread":0.1662458560973464,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001079525,0.0002586326,0.0004062594,0.0001222487,0.00002740219,0.00001471033,0.0002227352,0.000168417,0.0001007193],"category_scores_gemma":[0.00001644372,0.0002732855,0.00009510545,0.0001675145,0.00002737754,0.0001093285,0.00003317643,0.0002139658,0.00001179037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001202137,"about_ca_system_score_gemma":0.00001817868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001548246,"about_ca_topic_score_gemma":0.000004032047,"domain_scores_codex":[0.9987708,0.00001683643,0.0004302061,0.0002216149,0.0001503744,0.0004102045],"domain_scores_gemma":[0.999357,0.00004693582,0.00005539826,0.000351391,0.00006332593,0.0001258933],"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":[0.0001448525,0.0003015373,0.01869675,0.001791741,0.000720842,0.00003017542,0.00687347,0.8627865,0.09704499,0.003361941,0.003479279,0.004767905],"study_design_scores_gemma":[0.0004297144,0.00008295185,0.003917183,0.00009140332,0.00002725447,0.000005489553,0.0001908761,0.9523712,0.03644776,0.000005572844,0.006078381,0.000352235],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9345539,0.001307242,0.05907865,0.000004398223,0.00243622,0.0001813492,0.00001929731,0.0005031208,0.001915808],"genre_scores_gemma":[0.9994156,0.00003518932,0.000383111,0.000009043427,0.00005382868,0.000004857623,0.00001425457,0.00005474793,0.00002936412],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08958466,"threshold_uncertainty_score":0.9999719,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2016379742","doi":"10.1260/0309-524x.37.5.483","title":"Binary Flutter as an Oscillating Windmill — Scaling & Linear Analysis","year":2013,"lang":"en","type":"article","venue":"Wind Engineering","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Remotely Operated Platform for Ocean Sciences","funders":"","keywords":"Flutter; Aeroelasticity; Windmill; Mechanics; Reciprocating motion; Chord (peer-to-peer); Oscillation (cell signaling); Inertia; Physics; Aerodynamics; Engineering; Structural engineering; Control theory (sociology); Wind power; Classical mechanics; Aerospace engineering; Electrical engineering; Computer science","retraction":null,"screen_n_in":null,"score":{"opus":0.01004422460074209,"gpt":0.2209341352508918,"spread":0.2108899106501497,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001934072,0.0002952309,0.00030934,0.000538074,0.00009723069,0.0001289548,0.0002351839,0.0001352511,0.0008929002],"category_scores_gemma":[0.00005006137,0.0002958815,0.0001330405,0.0009713664,0.00001601524,0.0004750825,0.00007184922,0.0003116429,0.0008437303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001085737,"about_ca_system_score_gemma":0.00002079358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001566961,"about_ca_topic_score_gemma":0.00001041618,"domain_scores_codex":[0.9982607,0.00001572051,0.0003342768,0.0003097562,0.0003481277,0.0007314288],"domain_scores_gemma":[0.9990592,0.00004788685,0.00001845254,0.000395565,0.00006351725,0.000415374],"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":[0.000001679132,0.00001029064,0.001759855,0.00003936287,0.0003017442,0.00001057818,0.0003334043,0.9757837,0.01957281,0.00001774477,0.0003168964,0.001851917],"study_design_scores_gemma":[0.0002231558,0.00002522855,0.02822246,0.00004092844,0.00005636122,0.0000112564,0.00008102368,0.9589074,0.002810318,0.00002800958,0.00901066,0.0005831531],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.985626,0.0001631993,0.01060836,0.00004642584,0.0002349416,0.0001203721,0.00000324402,0.0007055993,0.002491864],"genre_scores_gemma":[0.9816056,0.0000211937,0.01742572,0.00005246327,0.0003535716,0.00002647352,0.00006201321,0.00008124813,0.0003717336],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02646261,"threshold_uncertainty_score":0.9999493,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2023506219","doi":"10.1260/0309-524x.34.6.673","title":"Predicting Hub-Height Wind Speed for Small Wind Turbine Performance Evaluation Using Tower-Mounted Cup Anemometers","year":2010,"lang":"en","type":"article","venue":"Wind Engineering","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Guelph","funders":"","keywords":"Anemometer; Wind speed; Turbine; Extrapolation; Mast (botany); Marine engineering; Tower; Environmental science; Meteorology; Wind gradient; Offset (computer science); Wind power; Wind shear; Wind profile power law; Engineering; Structural engineering; Aerospace engineering; Electrical engineering; Computer science; Physics; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.02229666889808571,"gpt":0.2435492191535938,"spread":0.2212525502555081,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007421763,0.000383972,0.0003092127,0.0003908322,0.000163834,0.0001249694,0.0002748072,0.0002120101,0.0001179002],"category_scores_gemma":[0.0001922207,0.0004014598,0.00009909375,0.0004386075,0.00002735199,0.0004041929,0.00006234158,0.0005326013,0.00001209265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002364225,"about_ca_system_score_gemma":0.00009513172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002280717,"about_ca_topic_score_gemma":0.00001013836,"domain_scores_codex":[0.9978271,0.00001149062,0.0004328146,0.000366519,0.0004900617,0.0008720772],"domain_scores_gemma":[0.9990677,0.00009469222,0.00004713693,0.0003454994,0.0001693378,0.0002756959],"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":[0.00002082458,0.00001410822,0.001733576,0.000141867,0.00009367002,0.000003946,0.0002615839,0.8167378,0.1767057,0.000006209447,0.0000849128,0.004195715],"study_design_scores_gemma":[0.001012636,0.00005616405,0.01026694,0.0001256091,0.000040548,0.00003344176,0.00004037315,0.9512044,0.03380158,0.000005832781,0.00294791,0.0004645667],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930699,0.0001494049,0.002829837,0.00002565462,0.002219622,0.0005497704,0.00001497468,0.0003976235,0.0007431435],"genre_scores_gemma":[0.9872462,0.00001659092,0.01156904,0.00001349616,0.0007959064,0.00001047532,0.00008300476,0.0001159656,0.0001493858],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1429041,"threshold_uncertainty_score":0.9998437,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2778900361","doi":"10.1177/0309524x18756962","title":"On mooring line tension and fatigue prediction for offshore vertical axis wind turbines: A comparison of lumped mass and quasi-static approaches","year":2018,"lang":"en","type":"article","venue":"Wind Engineering","topic":"Wave and Wind Energy Systems","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Prince Edward Island","funders":"","keywords":"Turbine; Marine engineering; Mooring; Offshore wind power; Wind power; Horizontal axis; Aerodynamics; Tension (geology); Vertical axis; Rotor (electric); Engineering; Structural engineering; Aerospace engineering; Compression (physics); Mechanical engineering; Physics; Electrical engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.04737615056259106,"gpt":0.2411480662141278,"spread":0.1937719156515367,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001330994,0.000217421,0.0003487076,0.0001420412,0.00005093951,0.00002555024,0.00005582375,0.0001341726,0.000002068375],"category_scores_gemma":[0.00005748519,0.0002054276,0.00003943071,0.0001228514,0.00004157699,0.0001094211,0.00001817954,0.0001276333,9.666837e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003292358,"about_ca_system_score_gemma":0.000005359653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008607419,"about_ca_topic_score_gemma":0.00000325301,"domain_scores_codex":[0.9990228,0.000009328427,0.0003470142,0.0002214676,0.0001406405,0.0002587091],"domain_scores_gemma":[0.9995595,0.0001180343,0.00001809341,0.0001626723,0.00003692161,0.0001047907],"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":[0.0001123019,0.00009102815,0.004814466,0.00205894,0.0002561748,0.000002963496,0.003714092,0.864726,0.1177411,0.0008740112,0.000291314,0.005317613],"study_design_scores_gemma":[0.0005689795,0.0003723757,0.003561036,0.0003122889,0.00004081505,0.000004963556,0.0002808346,0.9767271,0.01771249,0.00003921425,0.000187753,0.0001921813],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9172657,0.0002328089,0.08163454,0.0000212802,0.0003853277,0.0002117535,0.00001519573,0.0001420535,0.00009133182],"genre_scores_gemma":[0.9976175,0.0000114227,0.001942478,0.000004177944,0.0003275853,0.00001304121,0.00002068424,0.00005068424,0.00001239645],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.112001,"threshold_uncertainty_score":0.8377094,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2067035982","doi":"10.1260/0309-524x.36.6.717","title":"Experimental Indirect Determination of Wind Turbine Performance and Blade Element Theory Parameters in Controlled Conditions","year":2012,"lang":"en","type":"article","venue":"Wind Engineering","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; National Renewable Energy Laboratory; Ontario Centres of Excellence","keywords":"Blade element momentum theory; Turbine; Nacelle; Wake; Mechanics; Blade element theory; Rotor (electric); Chord (peer-to-peer); Airfoil; Turbine blade; Reynolds number; Structural engineering; Marine engineering; Physics; Engineering; Aerospace engineering; Turbulence; Mechanical engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.008543591740126703,"gpt":0.2174424368485263,"spread":0.2088988451083997,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002820618,0.000139111,0.000219699,0.0002352775,0.00002303002,0.00001193404,0.00005743377,0.00005082413,0.00003062493],"category_scores_gemma":[0.00002523217,0.0001359497,0.00002897885,0.000129702,0.00002180611,0.0002297363,0.00002427359,0.0001145266,0.000003322663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000093129,"about_ca_system_score_gemma":0.000008988106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002734018,"about_ca_topic_score_gemma":5.68034e-7,"domain_scores_codex":[0.9991732,0.00001603474,0.0002388014,0.00008675611,0.000143722,0.0003414794],"domain_scores_gemma":[0.999702,0.00007854691,0.00001960681,0.00008503717,0.000009956341,0.0001048603],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000212933,0.0002506037,0.02243975,0.000447848,0.000281309,0.00001287616,0.006081289,0.6979589,0.2627735,0.0007785893,0.00009176656,0.008670605],"study_design_scores_gemma":[0.005185376,0.0001351003,0.1668942,0.0002117009,0.00002355999,0.00002410864,0.0004633605,0.2378757,0.5882006,0.00002139286,0.0004265237,0.0005384082],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974176,0.0007167644,0.0007892575,0.000004660854,0.0001468367,0.0001804829,0.000003791683,0.00005743657,0.0006832129],"genre_scores_gemma":[0.9983274,0.00004377341,0.001487045,0.000005329241,0.00003643351,0.00003963406,0.0000117565,0.00002085527,0.00002773765],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4600832,"threshold_uncertainty_score":0.5543867,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2146462073","doi":"10.1260/0309-524x.35.3.357","title":"Inverse Airfoil Design Method for Low-Speed Straight-Bladed Darrieus-Type VAWT Applications","year":2011,"lang":"en","type":"article","venue":"Wind Engineering","topic":"Turbomachinery Performance and Optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Airfoil; Aerodynamics; Camber (aerodynamics); Chord (peer-to-peer); Boundary layer; Inverse; Mathematics; Engineering; Computer science; Aerospace engineering; Geometry","retraction":null,"screen_n_in":null,"score":{"opus":0.02567463149929474,"gpt":0.2238814037288729,"spread":0.1982067722295781,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001570298,0.0002181551,0.0001819421,0.000149813,0.0000668292,0.00002478013,0.0001753328,0.0001239484,0.0001132235],"category_scores_gemma":[0.0000167271,0.0002314935,0.00006060705,0.0003117005,0.000009357055,0.000272859,0.00001646419,0.0001534297,0.00004345047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005220032,"about_ca_system_score_gemma":0.00002147211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004854426,"about_ca_topic_score_gemma":0.000002038877,"domain_scores_codex":[0.9991599,0.000007858223,0.0002336764,0.0001885966,0.00009067069,0.0003193509],"domain_scores_gemma":[0.9995175,0.00004467086,0.00002572931,0.000254396,0.00004900224,0.0001086979],"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":[0.00001368134,0.00001382887,0.00002211731,0.0001172354,0.00004846912,9.632352e-7,0.0004333695,0.9742078,0.02195147,0.0003106547,0.0005887272,0.002291726],"study_design_scores_gemma":[0.0003547116,0.00003566932,0.0003044436,0.00002225048,0.00003454862,0.000004926861,0.00002254051,0.9680006,0.0270873,0.00005350776,0.003788992,0.0002905355],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006943268,0.00009539152,0.9898102,0.00000621372,0.0003737948,0.0004872994,0.00001201787,0.0007146461,0.001557159],"genre_scores_gemma":[0.3918972,0.0000575044,0.607083,0.00004585395,0.0003602643,0.0001198116,0.00007483006,0.0001505851,0.0002109533],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3849539,"threshold_uncertainty_score":0.9440032,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2185564001","doi":"10.1260/0309-524x.39.5.557","title":"A 2D Blade Element Study of a Wind Turbine Rotor under Yaw Loads","year":2015,"lang":"en","type":"article","venue":"Wind Engineering","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Institut National des Sciences Appliquées de Lyon; Compute Canada","keywords":"Wake; Airfoil; Turbine; Wind power; Rotor (electric); Tip-speed ratio; Freestream; Wind tunnel; Blade element momentum theory; Engineering; Turbine blade; Structural engineering; Aerospace engineering; Mechanics; Reynolds number; Physics; Mechanical engineering; Turbulence; Electrical engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.02109829805651224,"gpt":0.2290436288835428,"spread":0.2079453308270306,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002439671,0.0002467495,0.0002866969,0.0002270133,0.00002360108,0.00003211463,0.0002194509,0.00007323182,0.00005362902],"category_scores_gemma":[0.00003189853,0.0002400978,0.00004708246,0.0003431432,0.00001213007,0.0001294645,0.00008802852,0.0002187691,0.00003698249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001919306,"about_ca_system_score_gemma":0.00005362212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005528329,"about_ca_topic_score_gemma":0.00001517225,"domain_scores_codex":[0.9984243,0.00001345123,0.0003519409,0.0002038971,0.0004990593,0.0005073319],"domain_scores_gemma":[0.9992513,0.00002532541,0.00002193097,0.0003081126,0.0000626376,0.0003307084],"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":[0.00001637333,0.0001272975,0.0008535673,0.00006676462,0.0001933545,0.00002577338,0.001252432,0.9914882,0.004508898,0.0000529516,0.0007768399,0.0006375727],"study_design_scores_gemma":[0.01867059,0.003129306,0.1030517,0.000571984,0.0001960642,0.00009683755,0.01072037,0.6783752,0.07545697,0.0002123786,0.1057568,0.00376181],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936373,0.0003064555,0.003112234,0.00002870792,0.000365273,0.0003504111,0.000004307457,0.000271545,0.001923754],"genre_scores_gemma":[0.9984214,0.000009381137,0.001021016,0.00001004924,0.0001778678,0.00003130835,0.000008118289,0.00006006471,0.0002607811],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.313113,"threshold_uncertainty_score":0.9790903,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2962721674","doi":"10.1177/0309524x19862757","title":"Geographic information systems visualization of wind farm operational data to inform maintenance and planning discussions","year":2019,"lang":"en","type":"article","venue":"Wind Engineering","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Kruger (Canada); Wind Energy Institute of Canada; University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada; University of Windsor","keywords":"Profitability index; Wind power; Visualization; Computer science; Resource (disambiguation); Decision support system; Contingency; Operations research; Engineering; Business; Data mining","retraction":null,"screen_n_in":null,"score":{"opus":0.01424367698682952,"gpt":0.2381011342372798,"spread":0.2238574572504503,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001762445,0.0001161801,0.0001354391,0.0002773251,0.00003878663,0.00007471735,0.0001620986,0.00005198045,0.000009061206],"category_scores_gemma":[0.00005182384,0.0001012617,0.00001188721,0.0003155692,0.000006736294,0.0006920076,0.0001151739,0.00008422153,0.00001740511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003262924,"about_ca_system_score_gemma":0.00001907685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001808175,"about_ca_topic_score_gemma":0.000001338676,"domain_scores_codex":[0.999173,0.00000367813,0.0002641126,0.000100662,0.0002353257,0.00022318],"domain_scores_gemma":[0.9995689,0.00002287022,0.00001927987,0.000223028,0.0000547274,0.0001111582],"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":[0.000004292388,0.000002734975,0.003974095,0.0001924403,0.00002842068,5.227487e-7,0.0004463199,0.991388,0.001445961,0.001563891,0.0002006848,0.0007525926],"study_design_scores_gemma":[0.0003240932,0.00002832977,0.07201023,0.0003324941,0.000004414337,0.00000827404,0.0003290194,0.8901045,0.0002895465,0.000002390492,0.03633246,0.0002342342],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9489878,0.0002327612,0.04727335,0.0000419526,0.0006813733,0.000409046,0.00007419743,0.000191979,0.002107493],"genre_scores_gemma":[0.998702,0.00002316843,0.0008736579,0.00001378637,0.00004600545,0.000007060818,0.0002647744,0.00001464346,0.00005484969],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1012835,"threshold_uncertainty_score":0.4129332,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2001370835","doi":"10.1260/030952408786411967","title":"Extrapolation of Wind Profiles Using Indirect Measures of Stability","year":2008,"lang":"en","type":"article","venue":"Wind Engineering","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"WSP (Canada)","funders":"","keywords":"Extrapolation; Wind profile power law; Wind power; Meteorology; Environmental science; Wind speed; Tower; Stability (learning theory); Wind shear; Log wind profile; Atmospheric instability; Wind gradient; Engineering; Mathematics; Statistics; Computer science; Geography; Structural engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.04916101540135306,"gpt":0.2048813810698434,"spread":0.1557203656684904,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001454384,0.0001404811,0.0002380552,0.0001410045,0.00002852069,0.000003355312,0.00008056971,0.00007895131,0.00002007968],"category_scores_gemma":[0.00004855347,0.0001509221,0.00006614654,0.0002558895,0.00003020824,0.0001420463,0.00001386254,0.0001143355,5.001139e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003819743,"about_ca_system_score_gemma":0.00001921843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002332127,"about_ca_topic_score_gemma":0.000001561935,"domain_scores_codex":[0.9992073,0.000009889037,0.0003160048,0.0001040429,0.0001725539,0.0001902307],"domain_scores_gemma":[0.9996638,0.00004791728,0.00004596754,0.0001551821,0.00004222985,0.00004489101],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000002926332,0.000008617602,0.009983645,0.0001428628,0.00003247167,0.000001495305,0.0008117737,0.706129,0.2823538,0.00004306241,0.000002857442,0.0004874622],"study_design_scores_gemma":[0.0001989493,0.00002326175,0.02399321,0.0001884682,0.00001907264,0.00002062821,0.00003952157,0.3667638,0.6082934,0.000008907007,0.0002216357,0.0002291877],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904355,0.0005725843,0.007409955,7.070656e-7,0.0002271727,0.00006953943,0.00001083678,0.000133053,0.001140653],"genre_scores_gemma":[0.9950076,0.00002073127,0.004856156,5.067574e-7,0.00007331603,9.050914e-7,0.000004606984,0.00003227485,0.000003873814],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3393652,"threshold_uncertainty_score":0.6154426,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2387352252","doi":"10.1177/0309524x16647842","title":"Condition monitoring and fault diagnosis of a small permanent magnet generator","year":2016,"lang":"en","type":"article","venue":"Wind Engineering","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"","keywords":"Vibration; Condition monitoring; Wind power; Fault (geology); Wavelet; Turbine; Rotor (electric); Permanent magnet synchronous generator; Engineering; Fault detection and isolation; Magnet; Automotive engineering; Wavelet transform; Continuous wavelet transform; Computer science; Discrete wavelet transform; Acoustics; Mechanical engineering; Electrical engineering; Actuator","retraction":null,"screen_n_in":null,"score":{"opus":0.008059902277710841,"gpt":0.2254300225980563,"spread":0.2173701203203455,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007957412,0.0001883937,0.0001964457,0.0001424351,0.00001796771,0.00001711334,0.00009872216,0.00008598335,0.00003855693],"category_scores_gemma":[0.00004394248,0.0001617548,0.00004129644,0.0000894245,0.00001705988,0.0001287476,0.00003691455,0.00008553826,0.000005909003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005804993,"about_ca_system_score_gemma":0.000003822682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001469279,"about_ca_topic_score_gemma":0.0000015971,"domain_scores_codex":[0.9992726,0.00000703889,0.0002281415,0.000156863,0.0001070532,0.0002282969],"domain_scores_gemma":[0.999586,0.000094863,0.00002381197,0.0001795277,0.00002573093,0.00009005471],"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":[0.000005660769,0.00005616183,0.1163721,0.0007661005,0.0001293258,0.00002744411,0.0003842734,0.02952997,0.8094811,0.0007159038,0.001376724,0.04115531],"study_design_scores_gemma":[0.0004777027,0.00007239896,0.07006472,0.0005469036,0.00003508151,0.00001576727,0.00001450029,0.01204034,0.911981,0.00005568808,0.004240336,0.0004555144],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948858,0.0008595453,0.003079495,0.00004747325,0.0002413184,0.0001463031,0.00003499268,0.0005615607,0.0001434936],"genre_scores_gemma":[0.9932237,0.0007800368,0.005641631,0.000003928087,0.0001851026,0.00009664585,0.000003650738,0.00005337756,0.00001197146],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1025,"threshold_uncertainty_score":0.6596169,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2417775511","doi":"10.1177/0309524x16653486","title":"Urban wind resource assessment in changing climate: Case study","year":2016,"lang":"en","type":"article","venue":"Wind Engineering","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Western University","funders":"","keywords":"Wind speed; Urban climate; Climate change; Environmental science; Wind power; Resource (disambiguation); Wind resource assessment; Meteorology; Prevailing winds; Geography; Wind direction; Climatology; Urban planning; Environmental resource management; Civil engineering; Geology; Engineering; Computer science; Oceanography","retraction":null,"screen_n_in":null,"score":{"opus":0.008092915356394692,"gpt":0.2194502314024035,"spread":0.2113573160460088,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003531406,0.0001515999,0.0001492258,0.000114896,0.0001117833,0.00001882874,0.0001065297,0.0000312106,0.0001503341],"category_scores_gemma":[0.00001486765,0.0001110911,0.00003028253,0.000326502,0.00002283779,0.0001516071,0.0002908763,0.0001055914,0.00006952019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001773971,"about_ca_system_score_gemma":0.000002613338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006042516,"about_ca_topic_score_gemma":0.00003400393,"domain_scores_codex":[0.9988428,0.0000179724,0.000172927,0.0002659244,0.0001794411,0.0005208709],"domain_scores_gemma":[0.9996735,0.00004943848,0.00002298144,0.0001839056,0.000001714294,0.00006847295],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000006299947,0.000327204,0.9521747,0.00002220635,0.0000305829,0.003457091,0.007310022,0.01599501,0.007253505,0.00004807266,0.0006395808,0.01273579],"study_design_scores_gemma":[0.003732382,0.0005247282,0.9152038,0.0003814928,0.00005074969,0.0006734681,0.02233952,0.01289545,0.0007474941,0.000008917817,0.04198447,0.001457588],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973683,0.0000240337,0.0002310749,0.0001276845,0.0001014657,0.0001808948,0.000002780986,0.00006790487,0.00189586],"genre_scores_gemma":[0.9993326,0.000003559308,0.0002259968,0.0000223992,0.0001046378,0.00001001232,3.459027e-7,0.0000202029,0.0002802414],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04134489,"threshold_uncertainty_score":0.4530162,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1995636377","doi":"10.1260/0309524001495747","title":"Reliability/Cost Implications of Utilizing Wind Energy in Small Isolated Power Systems","year":2000,"lang":"en","type":"article","venue":"Wind Engineering","topic":"Power System Reliability and Maintenance","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Wind power; Reliability engineering; Automotive engineering; Reliability (semiconductor); Electric power system; Diesel fuel; Engineering; Environmental science; Power (physics); Marine engineering; Computer science; Electrical engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.007675945931957411,"gpt":0.1841802064499463,"spread":0.1765042605179889,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002559276,0.0002344748,0.0003698938,0.0001708685,0.00002433441,0.00002434482,0.0002405094,0.000169328,0.00006319676],"category_scores_gemma":[0.00004374454,0.0002536187,0.00008394811,0.0005150115,0.00002390166,0.0001535696,0.00002062384,0.0002128008,0.00001812644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001794457,"about_ca_system_score_gemma":0.00001977659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000237786,"about_ca_topic_score_gemma":0.00003141789,"domain_scores_codex":[0.9985636,0.0000225337,0.0005977481,0.0002709665,0.00009051335,0.0004546019],"domain_scores_gemma":[0.999185,0.00008906783,0.00003204949,0.0005396627,0.00004793005,0.0001062671],"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":[0.00000795779,0.00003053845,0.0005993202,0.0002530216,0.00002433545,0.00000382394,0.0003043073,0.9869044,0.009742395,0.001149451,0.00007283082,0.0009075889],"study_design_scores_gemma":[0.001026724,0.00009324256,0.04614642,0.001256603,0.000031034,0.00008058751,0.0002210576,0.8527604,0.002616494,0.0001335812,0.09456866,0.00106524],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9595119,0.001650415,0.02481108,0.00004142383,0.0007725461,0.0004421018,0.00003591273,0.0005682361,0.01216638],"genre_scores_gemma":[0.9994126,0.000093982,0.0002194967,0.000008580749,0.00002829001,0.00003132161,0.000007509046,0.00005303863,0.0001452056],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1341441,"threshold_uncertainty_score":0.9999916,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2142939381","doi":"10.1260/0309524042886432","title":"SAR-Satellite for Offshore and Coastal Wind Resource Analysis, with Examples from St. Lawrence Gulf, Canada","year":2004,"lang":"en","type":"article","venue":"Wind Engineering","topic":"Ocean Waves and Remote Sensing","field":"Earth and Planetary Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Canadian Space Agency; National Aeronautics and Space Administration","keywords":"Scatterometer; Offshore wind power; Satellite; Wind power; Meteorology; Environmental science; Remote sensing; Synthetic aperture radar; Submarine pipeline; Resource (disambiguation); Wind speed; Geology; Geography; Computer science; Oceanography; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.006523835154137738,"gpt":0.1584945849010153,"spread":0.1519707497468775,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006334828,0.0001451839,0.0001959206,0.00005740561,0.0000956212,0.00006463374,0.00007568584,0.0000404087,0.00001983948],"category_scores_gemma":[0.000008811971,0.0001144629,0.00003870391,0.0002192257,0.00002623322,0.00007885292,0.000007446643,0.00008666857,6.72133e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008232179,"about_ca_system_score_gemma":0.00006791151,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2693024,"about_ca_topic_score_gemma":0.6427104,"domain_scores_codex":[0.999177,0.000005763769,0.0001272958,0.0002438949,0.000168583,0.0002774785],"domain_scores_gemma":[0.9995979,0.00009092949,0.00003210999,0.0001276489,0.00001317683,0.0001382367],"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":[0.00002195014,0.000002687406,0.03698723,0.00001810076,0.000247195,0.00004729314,0.0002794441,0.9539014,0.00007183501,0.00001104471,0.00002401786,0.008387799],"study_design_scores_gemma":[0.0006866092,0.0001031872,0.8191909,0.0001160027,0.0002857951,0.00002139894,0.0007269245,0.1367802,0.0003633006,0.00006097465,0.04114242,0.0005223016],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965166,0.0008898415,0.001821881,0.00009298964,0.00008024927,0.0000868721,0.0003024844,0.00002518324,0.0001838593],"genre_scores_gemma":[0.9885236,0.00002278919,0.01086374,0.00004626982,0.0001179416,4.983489e-9,0.000379272,0.000006850613,0.00003955984],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8171212,"threshold_uncertainty_score":0.7355634,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2955231105","doi":"10.1177/0309524x19849861","title":"On the wind turbine blade loads from an aeroelastic simulation and their transfer to a three-dimensional finite element model of the blade","year":2019,"lang":"en","type":"article","venue":"Wind Engineering","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Aeroelasticity; Blade element momentum theory; Aerodynamics; Blade element theory; Finite element method; Turbine blade; Blade (archaeology); Structural engineering; Turbine; Nacelle; Rotor (electric); Engineering; Helicopter rotor; Mechanical engineering; Aerospace engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.0124074475777108,"gpt":0.1973212771634142,"spread":0.1849138295857034,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001227027,0.0002072996,0.0001686828,0.00007672154,0.00004570961,0.00002656762,0.000184445,0.00006477706,0.00006876727],"category_scores_gemma":[0.00002695402,0.0001253612,0.00004840688,0.0001543872,0.00001443564,0.00008475121,0.00004980828,0.0002187174,0.00001383682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000501506,"about_ca_system_score_gemma":0.00002279043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001623563,"about_ca_topic_score_gemma":0.00001831792,"domain_scores_codex":[0.9990239,0.00001252954,0.0002056346,0.0001908976,0.0002733589,0.0002936844],"domain_scores_gemma":[0.999299,0.0002556315,0.000007214965,0.0002980554,0.00002468319,0.0001153404],"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":[0.00002307025,0.00001372058,0.0001255278,0.00001858972,0.0000575538,3.673379e-7,0.000539028,0.9646278,0.03409882,0.0001948307,0.00001806899,0.0002826266],"study_design_scores_gemma":[0.0003013673,0.00005579168,0.006397315,0.00009433078,0.000006979262,3.949026e-7,0.00001849125,0.9804841,0.01219003,0.0001674486,0.0001266037,0.0001571393],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9608097,0.00005496672,0.03842085,0.000154887,0.0001354111,0.0002602993,0.00003386679,0.00005746613,0.00007256397],"genre_scores_gemma":[0.9994466,0.000002319927,0.0003262481,0.00008574699,0.0000557497,0.000009254853,0.00001069598,0.00003780459,0.00002558646],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0386369,"threshold_uncertainty_score":0.5112081,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4414976246","doi":"10.1177/0309524x251386646","title":"Comparative analysis of offshore and onshore wind turbines: Efficiency, design, and environmental impact","year":2025,"lang":"en","type":"article","venue":"Wind Engineering","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":7,"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":"Offshore wind power; Sea breeze; Submarine pipeline; Wind power; Renewable energy; Environmental impact assessment; Cost of electricity by source; Modular design","retraction":null,"screen_n_in":null,"score":{"opus":0.009374724303015013,"gpt":0.2324657866680851,"spread":0.2230910623650701,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001228919,0.0001867751,0.0003595906,0.0004994075,0.00003729987,0.00002710973,0.00008090244,0.00006264218,0.00002343808],"category_scores_gemma":[0.000009865997,0.0001687016,0.00005797195,0.0005154505,0.00005093688,0.00007756095,0.0000528243,0.000124423,8.319552e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007446478,"about_ca_system_score_gemma":0.00001873688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001071647,"about_ca_topic_score_gemma":0.000002312002,"domain_scores_codex":[0.9992213,0.00001199332,0.0001968219,0.0001721945,0.0001356573,0.0002619902],"domain_scores_gemma":[0.9996338,0.00009920599,0.00001300316,0.0001305192,0.000008129238,0.0001153631],"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":[0.00001145765,0.00001505501,0.0100008,0.0000484513,0.0009244429,0.000004064644,0.0005827285,0.9749054,0.01285106,0.00003280608,0.00009825604,0.0005254298],"study_design_scores_gemma":[0.0002289532,0.00003525264,0.2540935,0.00003930015,0.0001300817,0.000002726475,0.0001803979,0.7374006,0.007504777,0.00000551752,0.000208435,0.0001704933],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9792851,0.001749594,0.01843488,0.000007439202,0.00004185215,0.0001105763,0.0000193517,0.00005587012,0.0002953056],"genre_scores_gemma":[0.9983555,0.0001220374,0.001431793,0.000003543658,0.00001068949,0.000004264907,0.00002489958,0.000009782717,0.00003751022],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2440927,"threshold_uncertainty_score":0.6879452,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}