{"meta":{"query_hash":"4cf7c5849e65","filters":{"venue":"Wind"},"cohort_total":10,"direct_labels_cover":0,"predictions_cover":10,"exported":10,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/4cf7c5849e65","api":"https://metacan.xera.ac/api/v1/cohort?venue=Wind"},"results":[{"id":"W4309460216","doi":"10.3390/wind2040038","title":"Effects of Inflow Parameters and Disk Thickness on an Actuator Disk inside the Neutral Atmospheric Boundary Layer","year":2022,"lang":"en","type":"article","venue":"Wind","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Inflow; Actuator; Momentum (technical analysis); Mechanics; Convergence (economics); Boundary layer; Logarithm; Control theory (sociology); Turbine; Power (physics); Materials science; Computer science; Physics; Mechanical engineering; Mathematics; Engineering; Mathematical analysis; Thermodynamics","score_opus":0.006712568237602149,"score_gpt":0.2079352238947237,"score_spread":0.20122265565712152,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4309460216","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99051964,0.00047707354,0.005316045,0.00010321148,0.000081454906,0.00002136112,0.000102451566,0.000096517426,0.003282104],"genre_scores_gemma":[0.9980108,0.00013131583,0.0014963166,0.000017208813,0.0000048492398,0.000005675703,0.000045854817,0.000019459103,0.00026847835],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997137,0.000079064615,0.000032966298,0.0000468094,0.00006330359,0.00006414185],"domain_scores_gemma":[0.9984016,0.0010426495,0.00015140693,0.000118785036,0.00018219881,0.00010334829],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054490386,0.00050265354,0.0004939526,0.00034861325,0.00064111967,0.0013553242,0.00034282054,0.0007488214,0.0011563181],"category_scores_gemma":[0.002973285,0.00020503192,0.00034928625,0.0002617033,0.0007890373,0.00097368844,0.0006470004,0.0006366953,0.00017875113],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021153935,0.0004765631,0.03879818,0.0007853713,0.000080212834,0.002207044,0.0006584487,0.68829364,0.23100577,0.0040058163,0.00081531925,0.030758234],"study_design_scores_gemma":[0.00019338538,0.0013543231,0.02953787,0.00024503155,0.00016721639,0.0004170831,0.0014549928,0.73684317,0.22497447,0.0008259292,0.0038637447,0.00012281531],"about_ca_topic_score_codex":0.0029428576,"about_ca_topic_score_gemma":0.0015195662,"teacher_disagreement_score":0.0029428576,"about_ca_system_score_codex":0.0003234988,"about_ca_system_score_gemma":0.00036055894,"threshold_uncertainty_score":0.0058514476},"labels":[],"label_agreement":null},{"id":"W4311365106","doi":"10.3390/wind2040041","title":"Pre-Charge Pressure Estimation of a Hydraulic Accumulator Using Surface Temperature Measurements","year":2022,"lang":"en","type":"article","venue":"Wind","topic":"Hydraulic and Pneumatic Systems","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Innovationsfonden","keywords":"Hydraulic accumulator; Accumulator (cryptography); Leakage (economics); Automotive engineering; Control theory (sociology); Environmental science; Computer science; Nuclear engineering; Engineering; Mechanical engineering; Algorithm","score_opus":0.031618390498926306,"score_gpt":0.2565395383781508,"score_spread":0.2249211478792245,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311365106","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5342203,0.00037062468,0.4582024,0.00016352329,0.00017597426,0.00013459039,0.00031382087,0.002077164,0.0043415953],"genre_scores_gemma":[0.96931577,0.000093949646,0.029595504,0.000019970248,0.000014997017,0.000029889683,0.00007420414,0.00002615913,0.00082957646],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997569,0.000024224773,0.000014263381,0.00006680756,0.000119045806,0.000018767074],"domain_scores_gemma":[0.99955064,0.00014070026,0.000075637414,0.000049247217,0.00016237679,0.0000212735],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025372035,0.00047086662,0.00043467132,0.0004421685,0.0003186256,0.00066984573,0.0005010257,0.00050025503,0.00073830824],"category_scores_gemma":[0.0011504535,0.00023118065,0.00020464971,0.0003283973,0.0002285433,0.0008216168,0.00044977566,0.00043591158,0.00039527152],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006639615,0.0002385379,0.036894917,0.0005282977,0.0000838348,0.00045180973,0.00052330736,0.12004837,0.50167924,0.0011690499,0.0016373682,0.3360813],"study_design_scores_gemma":[0.00003740887,0.00040177075,0.027481264,0.00003189404,0.000040405528,0.00020577078,0.00013118262,0.7161872,0.2526387,0.0004909354,0.0022904645,0.000063002764],"about_ca_topic_score_codex":0.0012507121,"about_ca_topic_score_gemma":0.0020463977,"teacher_disagreement_score":0.0012507121,"about_ca_system_score_codex":0.00022493223,"about_ca_system_score_gemma":0.00054782326,"threshold_uncertainty_score":0.002486825},"labels":[],"label_agreement":null},{"id":"W4360613711","doi":"10.3390/wind3020009","title":"Real-Time Repositioning of Floating Wind Turbines Using Model Predictive Control for Position and Power Regulation","year":2023,"lang":"en","type":"article","venue":"Wind","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Control theory (sociology); Model predictive control; Offshore wind power; Turbine; Robustness (evolution); Wind power; PID controller; Torque; Actuator; Engineering; Computer science; Control engineering; Control (management)","score_opus":0.011030659345948813,"score_gpt":0.2344193287754962,"score_spread":0.22338866942954738,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4360613711","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13207467,0.0006195168,0.8571249,0.00019040534,0.00015101321,0.00006642799,0.00005147358,0.0010313407,0.00869026],"genre_scores_gemma":[0.991712,0.000095407195,0.0073148273,0.000012040642,0.000008268502,0.000023864428,0.000021701078,0.000008722125,0.0008031039],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99989045,0.000018280449,0.0000055246123,0.000027914792,0.000043013686,0.000014840796],"domain_scores_gemma":[0.9998437,0.000057231075,0.000039414666,0.000016221471,0.000035202465,0.00000818188],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024730453,0.00049636536,0.0003775263,0.00015325024,0.000288681,0.00054339244,0.00043793267,0.0003618192,0.0006745691],"category_scores_gemma":[0.0004828518,0.00020935586,0.00025043736,0.00017411166,0.0003502457,0.00031321245,0.00035173676,0.000503254,0.00014888248],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000106877116,0.00004740672,0.00057814876,0.000090819085,0.00002181646,0.00015440246,0.00007584977,0.93372136,0.014137701,0.001754862,0.00071099674,0.048599802],"study_design_scores_gemma":[0.000006644104,0.00004382337,0.00016950034,0.0000036580002,0.00000452506,0.000011188816,0.000005565128,0.99803823,0.0012146445,0.00022538759,0.00027370156,0.000003166339],"about_ca_topic_score_codex":0.005363156,"about_ca_topic_score_gemma":0.0052917446,"teacher_disagreement_score":0.005363156,"about_ca_system_score_codex":0.00021398343,"about_ca_system_score_gemma":0.00039856002,"threshold_uncertainty_score":0.010663927},"labels":[],"label_agreement":null},{"id":"W4384130997","doi":"10.3390/wind3030017","title":"Economic Impacts of Curtailing Wind Turbine Operations for the Protection of Bat Populations in Ontario","year":2023,"lang":"en","type":"article","venue":"Wind","topic":"Bat Biology and Ecology Studies","field":"Agricultural and Biological Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada; Environment and Climate Change Canada","funders":"Natural Resources Canada; Environment and Climate Change Canada","keywords":"Wind power; Turbine; Renewable energy; Environmental science; Wind speed; Revenue; Offshore wind power; Meteorology; Engineering; Business; Finance; Geography","score_opus":0.07948596291085705,"score_gpt":0.2700287911556116,"score_spread":0.19054282824475458,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384130997","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99184364,0.00019505847,0.00043661552,0.0006108592,0.000007996358,0.000029939098,0.0015991756,0.000013062134,0.0052636005],"genre_scores_gemma":[0.99748886,0.00020582761,0.00022657476,0.00005613539,0.000003282147,0.000010100589,0.0005421907,0.0000042520346,0.0014626794],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993136,0.00009561768,0.000023383343,0.000053146272,0.00026470798,0.00024962582],"domain_scores_gemma":[0.9980539,0.00028982363,0.00052341225,0.00006574179,0.00068856904,0.0003786915],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005198734,0.00017200776,0.00016517959,0.0003805123,0.0008887538,0.0007971427,0.0005308932,0.00022918788,0.0015266227],"category_scores_gemma":[0.0026914813,0.0001491314,0.0003903243,0.0007065608,0.00054271857,0.00035646887,0.0006397058,0.00035889912,0.00011845407],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023412371,0.00006983842,0.95138276,0.00011212624,0.0001231817,0.0005417132,0.0012229334,0.01792277,0.0011059289,0.0018086968,0.004123502,0.021352405],"study_design_scores_gemma":[0.000012508948,0.00006503997,0.98249316,0.000032773994,0.000035528807,0.00005501351,0.0018641365,0.011933864,0.00017284582,0.000256707,0.0030638762,0.000014550516],"about_ca_topic_score_codex":0.974498,"about_ca_topic_score_gemma":0.992101,"teacher_disagreement_score":0.025502026,"about_ca_system_score_codex":0.024185283,"about_ca_system_score_gemma":0.018526576,"threshold_uncertainty_score":0.17547733},"labels":[],"label_agreement":null},{"id":"W4385754823","doi":"10.3390/wind3030019","title":"Evaluation of Regional Elevation and Blade Density Effects on the Efficiency of a 1-kW Wind Turbine for Operation in Low-Wind Counties in Iran","year":2023,"lang":"en","type":"article","venue":"Wind","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Elevation (ballistics); Airfoil; Blade (archaeology); Turbine; Chord (peer-to-peer); Turbine blade; Environmental science; Marine engineering; Wind speed; Structural engineering; Meteorology; Geology; Engineering; Aerospace engineering; Computer science; Physics","score_opus":0.03635252808675795,"score_gpt":0.2673152962077676,"score_spread":0.23096276812100966,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385754823","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979201,0.00003199161,0.0014566756,0.0000077649875,0.0000018835121,0.0000062710014,0.000017157008,0.000016217338,0.00054198765],"genre_scores_gemma":[0.9993206,0.000022669888,0.0005344974,0.0000010330627,5.82195e-7,0.0000020643224,0.000027766406,0.00000313095,0.000087617984],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998209,0.000035987334,0.000012178531,0.000027594338,0.000061582425,0.000041750176],"domain_scores_gemma":[0.999613,0.00013816367,0.00006699489,0.000027751892,0.00012527303,0.000028963825],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037550982,0.00029552376,0.0002790555,0.00029948782,0.00027392973,0.0003817471,0.00021452497,0.00017267246,0.00047341213],"category_scores_gemma":[0.0009092908,0.00015254316,0.00028685573,0.0003232568,0.00017750294,0.00027804103,0.00017312946,0.00013091216,0.00014688578],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000797568,0.00041480758,0.39013013,0.00026875586,0.00013038541,0.0013543846,0.0003865116,0.39848223,0.11522953,0.00061108434,0.0005719428,0.091622666],"study_design_scores_gemma":[0.00005583671,0.0015626957,0.729114,0.000016327607,0.00019655553,0.00040170125,0.0017224894,0.22276415,0.042782508,0.00028076474,0.0010550416,0.000047979254],"about_ca_topic_score_codex":0.0034064353,"about_ca_topic_score_gemma":0.00881078,"teacher_disagreement_score":0.0034064353,"about_ca_system_score_codex":0.00028791334,"about_ca_system_score_gemma":0.00026513904,"threshold_uncertainty_score":0.0067732334},"labels":[],"label_agreement":null},{"id":"W4390694212","doi":"10.3390/wind4010001","title":"A Survey of Numerical Simulation Tools for Offshore Wind Turbine Systems","year":2024,"lang":"en","type":"article","venue":"Wind","topic":"Wave and Wind Energy Systems","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Offshore wind power; Turbine; Marine engineering; Wind power; Submarine pipeline; Code (set theory); Fidelity; Computer science; Engineering; Offshore geotechnical engineering; Systems engineering; Agency (philosophy); Aerospace engineering; Telecommunications; Geotechnical engineering","score_opus":0.04161055643714317,"score_gpt":0.26478373304792197,"score_spread":0.2231731766107788,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390694212","genre_codex":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020803036,0.073951215,0.82875055,0.0012803589,0.0006809821,0.00030963667,0.0036222695,0.0057799574,0.06482199],"genre_scores_gemma":[0.17527483,0.16008922,0.63025254,0.00075460586,0.00054046715,0.0008378391,0.011006121,0.0045402176,0.01670416],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99823016,0.00037787642,0.00022512284,0.00011653785,0.000973674,0.00007664826],"domain_scores_gemma":[0.9972168,0.0014502838,0.00015529677,0.0002860933,0.0008177951,0.000073750656],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017166031,0.0013885504,0.0012161098,0.0024467257,0.00069204817,0.0020118332,0.0018911995,0.0012547313,0.0067940494],"category_scores_gemma":[0.0058268476,0.0011027503,0.0015871903,0.0039165067,0.000437285,0.0021965518,0.0011712739,0.0015425634,0.0039602458],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001681329,0.0001586685,0.0042733448,0.0050753374,0.00019477658,0.0003759541,0.00049345894,0.33524352,0.007691998,0.04937831,0.02598713,0.57095945],"study_design_scores_gemma":[0.000063789914,0.00014867357,0.0016458814,0.002550002,0.00008244116,0.00042532006,0.00024989294,0.50180334,0.007903009,0.023670752,0.4613274,0.00012950867],"about_ca_topic_score_codex":0.0024495907,"about_ca_topic_score_gemma":0.0023582848,"teacher_disagreement_score":0.0067940494,"about_ca_system_score_codex":0.0005687453,"about_ca_system_score_gemma":0.0014374363,"threshold_uncertainty_score":0.022728324},"labels":[],"label_agreement":null},{"id":"W4403647463","doi":"10.3390/wind4040015","title":"Analysis of Wind Power Fluctuation in Wind Turbine Wakes Using Scale-Adaptive Large Eddy Simulation","year":2024,"lang":"en","type":"article","venue":"Wind","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Turbine; Wind power; Large eddy simulation; Scale (ratio); Environmental science; Meteorology; Wake; Power (physics); Marine engineering; Aerospace engineering; Atmospheric sciences; Mechanics; Geology; Physics; Engineering; Electrical engineering; Turbulence","score_opus":0.016678559964925746,"score_gpt":0.2699209975783991,"score_spread":0.25324243761347337,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403647463","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9456688,0.00008285946,0.05283678,0.00006471239,0.000015390488,0.000042515738,0.00008202512,0.0002560662,0.0009507471],"genre_scores_gemma":[0.9933115,0.00002525318,0.0064547947,0.0000054318075,0.0000025190823,0.000014533054,0.00004398042,0.0000134684915,0.00012845482],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99993956,0.000016787973,0.0000066695975,0.000009283959,0.000018948578,0.000008704173],"domain_scores_gemma":[0.99971706,0.00014477246,0.00003828407,0.000027978655,0.000047219495,0.000024751997],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030569933,0.00025118678,0.00026108176,0.0003978412,0.0002283048,0.00032481158,0.0002450646,0.00025870424,0.00028599796],"category_scores_gemma":[0.00084052124,0.00015129895,0.000244737,0.00028682261,0.00026478787,0.00037016105,0.0002259933,0.00021070761,0.00004048123],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013796838,0.00014464356,0.014306323,0.00005090217,0.00004652485,0.00021072364,0.00008049835,0.9536126,0.017673606,0.0011254522,0.00021229961,0.012398436],"study_design_scores_gemma":[0.00000390833,0.000007828474,0.0013158653,7.043994e-7,0.0000011583849,0.000002834996,0.000005439977,0.9981287,0.00043249907,0.00007922208,0.000019735871,0.000002166124],"about_ca_topic_score_codex":0.004642366,"about_ca_topic_score_gemma":0.0040120385,"teacher_disagreement_score":0.004642366,"about_ca_system_score_codex":0.00019618077,"about_ca_system_score_gemma":0.00033379294,"threshold_uncertainty_score":0.009230673},"labels":[],"label_agreement":null},{"id":"W4405737963","doi":"10.3390/wind4040021","title":"A Comparison of ASCE/SEI 7–22 Tornado-Induced Load Provisions for Residential Low-Rise Buildings to Those Evaluated Using Physical Simulation","year":2024,"lang":"en","type":"article","venue":"Wind","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Ontario Tech University; McGill University; Western University","funders":"Institute for Catastrophic Loss Reduction","keywords":"Tornado; Low-rise; Engineering; Environmental science; Architectural engineering; Civil engineering; Forensic engineering; Structural engineering; Meteorology; Geography","score_opus":0.05690822355579495,"score_gpt":0.3946401536595933,"score_spread":0.3377319301037984,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405737963","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9928185,0.000023327782,0.002902968,0.000034743676,0.0000111075215,0.0000385462,0.00017555087,0.0001276356,0.0038676297],"genre_scores_gemma":[0.9986203,0.000015585227,0.0009591503,0.000003574917,0.0000012301829,0.0000121696385,0.00013827506,0.00001446391,0.00023524591],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99962854,0.00010455174,0.000019604902,0.00003630707,0.00015632933,0.000054607375],"domain_scores_gemma":[0.9992112,0.00023830196,0.000065109496,0.0001437314,0.0002907253,0.000050885017],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006605158,0.00044587097,0.00043682754,0.00039438347,0.00044288058,0.0006900771,0.00061417214,0.00035507826,0.0014200561],"category_scores_gemma":[0.0019193707,0.0002053524,0.00030662844,0.00043041696,0.00040744976,0.0005728648,0.00036189286,0.00027073175,0.00020385142],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037213668,0.00029591666,0.04650247,0.00009963353,0.00003076036,0.00025071122,0.00016962043,0.92103976,0.011663469,0.0009241636,0.0008596687,0.017791685],"study_design_scores_gemma":[0.00008285836,0.0005898249,0.06150282,0.00002217431,0.000030141791,0.00006593009,0.00056238245,0.9223522,0.012508072,0.00024456787,0.0019981142,0.000040933726],"about_ca_topic_score_codex":0.024957241,"about_ca_topic_score_gemma":0.04794925,"teacher_disagreement_score":0.024957241,"about_ca_system_score_codex":0.0010917572,"about_ca_system_score_gemma":0.0008670742,"threshold_uncertainty_score":0.049623966},"labels":[],"label_agreement":null},{"id":"W4406782797","doi":"10.3390/wind5010002","title":"A Wind Offset Paradox: Alberta’s Wind Fleet Displacing Greenhouse Gas Emissions and Depressing Future Offset Values","year":2025,"lang":"en","type":"article","venue":"Wind","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Canada First Research Excellence Fund; University of Alberta","keywords":"Offset (computer science); Greenhouse gas; Environmental science; Meteorology; Carbon offset; Atmospheric sciences; Geography; Physics; Geology; Oceanography; Computer science","score_opus":0.03533748739373063,"score_gpt":0.25882939476054423,"score_spread":0.2234919073668136,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406782797","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9065496,0.0022967067,0.0050010853,0.008945914,0.00017740659,0.000018262006,0.0021203882,0.00014502431,0.074745595],"genre_scores_gemma":[0.9947285,0.00040471723,0.0007401124,0.00024814135,0.000016864007,0.0000017893194,0.00033809152,0.00001877851,0.00350294],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9998042,0.000023219096,0.0000044010008,0.000026430038,0.000085243046,0.0000565774],"domain_scores_gemma":[0.99964726,0.00006663767,0.000053801217,0.000023559036,0.0001424027,0.000066378],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005047122,0.00020957952,0.00029148592,0.000640947,0.001199012,0.0025751023,0.00069658674,0.000690632,0.0032386496],"category_scores_gemma":[0.0012756087,0.00013722607,0.00031465897,0.0010519926,0.0011962429,0.001358738,0.00053518056,0.0008927972,0.00013317037],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00096316816,0.00024366214,0.2525214,0.00038228056,0.00027744652,0.0049662017,0.0018622217,0.28573173,0.008450847,0.30374002,0.05685896,0.084002055],"study_design_scores_gemma":[0.00016703676,0.00018706669,0.39771244,0.00030479257,0.00022701743,0.0009621382,0.011241726,0.29129288,0.0043158345,0.15586548,0.13743193,0.00029167952],"about_ca_topic_score_codex":0.8062948,"about_ca_topic_score_gemma":0.8982958,"teacher_disagreement_score":0.1937052,"about_ca_system_score_codex":0.009491782,"about_ca_system_score_gemma":0.0076066395,"threshold_uncertainty_score":0.3896919},"labels":[],"label_agreement":null},{"id":"W4407086267","doi":"10.3390/wind5010004","title":"Maximizing Wind Turbine Power Generation Through Adaptive Fuzzy Logic Control for Optimal Efficiency and Performance","year":2025,"lang":"en","type":"article","venue":"Wind","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Wind power; Turbine; Automotive engineering; Fuzzy logic; Renewable energy; Computer science; Pitch control; Variable speed wind turbine; Electric power system; Control theory (sociology); Wind speed; Power (physics); Engineering; Control (management); Electrical engineering; Permanent magnet synchronous generator; Meteorology; Aerospace engineering","score_opus":0.016337748957781482,"score_gpt":0.22048416170188026,"score_spread":0.20414641274409878,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407086267","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14127347,0.00027564188,0.8439684,0.00018850657,0.000048540693,0.00009443778,0.000036957194,0.00030866248,0.013805438],"genre_scores_gemma":[0.9807264,0.00004671647,0.018326083,0.000020726868,0.000006556723,0.000021936241,0.000007370923,0.0000062295812,0.00083789654],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999889,0.000019801282,0.0000063454413,0.000022762246,0.000043833472,0.000018276814],"domain_scores_gemma":[0.9998814,0.000047188,0.000024754178,0.000007879621,0.00003291421,0.000005834756],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024941724,0.00040114572,0.00022195307,0.00016515297,0.00023735744,0.0006028101,0.00041682078,0.00032605726,0.0010078499],"category_scores_gemma":[0.00049235224,0.00014431406,0.00017504851,0.00017675171,0.00021039322,0.00032013495,0.00020703847,0.0003182807,0.00012687693],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014946672,0.00014589437,0.0008344881,0.00011979012,0.0000435899,0.000106265914,0.00008144349,0.8311988,0.052955963,0.0072193723,0.0008363987,0.106308535],"study_design_scores_gemma":[0.000012856436,0.00006720486,0.0002423117,0.000007026247,0.000008307534,0.0000140627835,0.000008323084,0.99400264,0.0041678655,0.0010664791,0.00039721516,0.000005716228],"about_ca_topic_score_codex":0.0023373254,"about_ca_topic_score_gemma":0.0050353943,"teacher_disagreement_score":0.0023373254,"about_ca_system_score_codex":0.00039141963,"about_ca_system_score_gemma":0.00046470162,"threshold_uncertainty_score":0.0046474338},"labels":[],"label_agreement":null}]}