{"meta":{"query_hash":"18687bbf7553","filters":{"venue":"AIAA AVIATION 2021 FORUM"},"cohort_total":30,"direct_labels_cover":0,"predictions_cover":30,"exported":30,"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/18687bbf7553","api":"https://metacan.xera.ac/api/v1/cohort?venue=AIAA+AVIATION+2021+FORUM"},"results":[{"id":"W3183258376","doi":"10.2514/6.2021-2415","title":"Validation and verification of a conceptual design tool for evaluating small-scale, supersonic, unmanned aerial vehicles","year":2021,"lang":"en","type":"article","venue":"AIAA AVIATION 2021 FORUM","topic":"Computational Fluid Dynamics and Aerodynamics","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Supersonic speed; Conceptual design; Propulsion; Multidisciplinary design optimization; Aerodynamics; Aerospace engineering; Aerospace; Systems engineering; Computer science; Range (aeronautics); Turbojet; Scale (ratio); Engineering; Aeronautics; Marine engineering; Multidisciplinary approach; Mechanical engineering","score_opus":0.022757116975401667,"score_gpt":0.24791361971798626,"score_spread":0.22515650274258459,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3183258376","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5967111,0.000107922715,0.4024954,0.00014718242,0.00022496296,0.0002204801,0.000046967565,0.000027442104,0.000018520754],"genre_scores_gemma":[0.9660444,0.000051015613,0.033121932,0.000023647495,0.000060652044,0.000054422064,0.0005623643,0.000023007446,0.00005856144],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99916136,0.000050806557,0.00030651185,0.00018406582,0.0001472012,0.00015002716],"domain_scores_gemma":[0.9992819,0.00024515213,0.00006156401,0.00011414466,0.00026825196,0.000028980556],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026591538,0.00010694735,0.00014803559,0.00004829948,0.00008310075,0.0000431769,0.00004971792,0.000073771545,0.000024900506],"category_scores_gemma":[0.00013731128,0.00012950868,0.000052953892,0.00015409534,0.00003092246,0.00013912148,0.000020644527,0.000051098476,0.0000026504692],"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":[0.00008543508,0.00006057095,0.0018206268,0.00012502668,0.00010580408,6.5642223e-7,0.001351488,0.46175647,0.4737805,0.032292575,0.00025339844,0.028367428],"study_design_scores_gemma":[0.00076733594,0.00007577599,0.0039574318,0.00002744442,0.000037714646,0.0000024198396,0.00051484443,0.96935487,0.022737427,0.002315618,0.000057764562,0.00015135993],"about_ca_topic_score_codex":0.0000040637315,"about_ca_topic_score_gemma":0.000011655584,"teacher_disagreement_score":0.5075984,"about_ca_system_score_codex":0.000060256472,"about_ca_system_score_gemma":0.00006845881,"threshold_uncertainty_score":0.5281211},"labels":[],"label_agreement":null},{"id":"W3183288673","doi":"10.2514/6.2021-2289","title":"Experimental and Analytical Investigation of the Distortion of Turbulence Interacting with a Porous Airfoil","year":2021,"lang":"en","type":"article","venue":"AIAA AVIATION 2021 FORUM","topic":"Aerodynamics and Acoustics in Jet Flows","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"European Commission","keywords":"Airfoil; Turbulence; Porosity; Mechanics; Turbulence kinetic energy; Acoustics; Noise (video); Distortion (music); Physics; Materials science; Composite material; Computer science","score_opus":0.004824526458557909,"score_gpt":0.19886698428065266,"score_spread":0.19404245782209475,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3183288673","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98587984,0.000107980944,0.013374703,0.00013198974,0.0002001762,0.00004490715,0.000008484086,0.000009066258,0.00024284722],"genre_scores_gemma":[0.99927056,0.000008697614,0.00061971904,0.000015423666,0.000014595233,0.000003308083,0.000013462282,0.000008279982,0.000045960292],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995552,0.000013074536,0.00016484038,0.000080670085,0.000117694784,0.00006852167],"domain_scores_gemma":[0.99970996,0.00003613805,0.000065717635,0.00010921847,0.00005980454,0.000019143177],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004771492,0.000056404835,0.0000819332,0.000018102546,0.000030606185,0.000009203604,0.000037332644,0.000028724857,0.00001990808],"category_scores_gemma":[0.00004542283,0.000045111672,0.00002028313,0.00012917697,0.000041500152,0.000084429535,0.0000322165,0.00006932607,3.7809576e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039030212,0.00011792821,0.28885537,0.00032986593,0.00018167708,0.0000103046095,0.0039702896,0.09748067,0.58873755,0.010426804,0.00049291784,0.009357586],"study_design_scores_gemma":[0.00031839652,0.000061990744,0.059173428,0.00024920166,0.00004643754,0.000017922435,0.0018276202,0.65453833,0.28311977,0.0004669341,0.000028932454,0.00015103893],"about_ca_topic_score_codex":0.000008523115,"about_ca_topic_score_gemma":0.000020469723,"teacher_disagreement_score":0.5570577,"about_ca_system_score_codex":0.00003665434,"about_ca_system_score_gemma":0.000017903354,"threshold_uncertainty_score":0.18396007},"labels":[],"label_agreement":null},{"id":"W3183445432","doi":"10.2514/6.2021-2656.c1","title":"Correction: Comparison of a Compact Isokinetic Total Water Content Probe to Standard & T-Shaped Multi-Element Probes for Characterizing Glaciated, Liquid and Mixed Phase Environments","year":2021,"lang":"en","type":"article","venue":"AIAA AVIATION 2021 FORUM","topic":"Water Quality Monitoring Technologies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Content (measure theory); Liquid phase; Phase (matter); Liquid water; Computer science; Analytical Chemistry (journal); Remote sensing; Materials science; Physics; Chemistry; Geology; Thermodynamics; Mathematics; Chromatography; Mathematical analysis","score_opus":0.05873997608740511,"score_gpt":0.31403016400050887,"score_spread":0.25529018791310376,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3183445432","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.961601,0.000033800545,0.033710744,0.0029549706,0.0005947235,0.00097484817,0.00006810683,0.0000543308,0.0000074492727],"genre_scores_gemma":[0.9931711,0.000010619848,0.0053679766,0.00007028276,0.000025115825,0.00014555601,0.00020901934,0.000021382255,0.0009789661],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99815863,0.00008429981,0.00056781276,0.0004381523,0.0003560581,0.00039503764],"domain_scores_gemma":[0.9993504,0.000048453338,0.00018763724,0.00028916574,0.00003191282,0.000092429225],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028240212,0.00020784147,0.0003563978,0.000056625126,0.00016794472,0.000053339096,0.00012733255,0.000090180205,0.0003188124],"category_scores_gemma":[0.00012878029,0.00018149291,0.00007048445,0.00012117375,0.00008660344,0.00020583198,0.00030739448,0.00010692164,0.000055630175],"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":[0.0003474884,0.0005372179,0.057879556,0.0000317782,0.00004604405,0.0000012725725,0.0017664954,0.00019993825,0.93468535,0.000007569016,0.00075022463,0.003747069],"study_design_scores_gemma":[0.0019103317,0.0009580969,0.02433774,0.00007319672,0.000035817207,0.0000045085058,0.0013031325,0.0012966378,0.9588642,0.000025088886,0.010949552,0.00024165599],"about_ca_topic_score_codex":0.00008673312,"about_ca_topic_score_gemma":0.000087690016,"teacher_disagreement_score":0.033541813,"about_ca_system_score_codex":0.00027885483,"about_ca_system_score_gemma":0.0000096692265,"threshold_uncertainty_score":0.74010664},"labels":[],"label_agreement":null},{"id":"W3183742768","doi":"10.2514/6.2021-2657","title":"Droplet Freeze-out Model for Ice Crystal Icing Testing in Engine Icing Facility","year":2021,"lang":"en","type":"article","venue":"AIAA AVIATION 2021 FORUM","topic":"Icing and De-icing Technologies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Icing; Wind tunnel; Ice crystals; Evaporation; Icing conditions; Meteorology; Environmental science; Nuclear engineering; Materials science; Mechanics; Engineering; Aerospace engineering; Physics","score_opus":0.024876051935234324,"score_gpt":0.23228279091148213,"score_spread":0.2074067389762478,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3183742768","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25194415,0.000108188535,0.74554026,0.00046044734,0.00038991513,0.00020177648,0.000084222316,0.0006971823,0.00057386415],"genre_scores_gemma":[0.98154515,0.000013639364,0.01781648,0.00007530882,0.000062584426,0.000048887978,0.00011841714,0.00003340414,0.00028610067],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985802,0.000018857845,0.000411324,0.00031510083,0.00017158536,0.0005029066],"domain_scores_gemma":[0.9991492,0.00026779465,0.000057034016,0.0003460443,0.00013837809,0.00004152608],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002977194,0.00020906566,0.00028164792,0.0001706664,0.00013299294,0.00006136289,0.00013349178,0.00017246274,0.000012002572],"category_scores_gemma":[0.0009817039,0.00024117809,0.00007549347,0.00043238085,0.000019138226,0.00022613385,0.00008494684,0.0002874159,0.000016268337],"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":[0.0000088859,0.000037201247,0.013699313,0.0002278875,0.000032812026,0.000014184363,0.0011773431,0.884299,0.047329843,0.0005891959,0.0014418052,0.051142547],"study_design_scores_gemma":[0.0004482213,0.000023170436,0.0010251845,0.00012864539,0.000015466814,0.0000057527495,0.0007357684,0.92816347,0.06661021,0.0023470896,0.00023136033,0.00026566023],"about_ca_topic_score_codex":0.00008499866,"about_ca_topic_score_gemma":0.0005371177,"teacher_disagreement_score":0.729601,"about_ca_system_score_codex":0.0001891842,"about_ca_system_score_gemma":0.00005366207,"threshold_uncertainty_score":0.9834957},"labels":[],"label_agreement":null},{"id":"W3183792654","doi":"10.2514/6.2021-2658","title":"Uncertainty Analysis of Cloud Conditions in an Engine Icing Tunnel","year":2021,"lang":"en","type":"article","venue":"AIAA AVIATION 2021 FORUM","topic":"Icing and De-icing Technologies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Icing; Monte Carlo method; Evaporation; Cloud computing; Environmental science; Instrumentation (computer programming); Research council; Meteorology; Engineering; Computer science; Aerospace engineering; Physics; Statistics; Mathematics","score_opus":0.009194916301526296,"score_gpt":0.24430301318907205,"score_spread":0.23510809688754575,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3183792654","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9679456,0.00007378556,0.030535914,0.00034443726,0.000274948,0.000052399726,0.000051979114,0.0002500056,0.00047096482],"genre_scores_gemma":[0.9988732,0.00003859136,0.0005816018,0.00004073407,0.000021164384,0.000009402608,0.00036697765,0.000012494218,0.000055836477],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992519,0.000023787385,0.0002721816,0.00014625223,0.00011204922,0.00019382442],"domain_scores_gemma":[0.9994777,0.000075363576,0.000041411153,0.00029479913,0.00008534031,0.000025428939],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011355116,0.00009613631,0.0002449886,0.0004319921,0.000041221356,0.000017113649,0.0000830787,0.000094905925,0.00012659008],"category_scores_gemma":[0.00009904819,0.000107264954,0.000080178026,0.0015606064,0.000019331346,0.000115690316,0.000026869986,0.00013072412,0.00000792117],"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":[0.0000024783951,0.000042008633,0.04217157,0.000023362223,0.00020970973,0.000010082209,0.0004403567,0.93779504,0.008735993,0.004675048,0.0004607143,0.005433647],"study_design_scores_gemma":[0.0004897389,0.000051617055,0.14104676,0.00009102128,0.0003463748,0.0000028752306,0.003983888,0.75474906,0.09515238,0.0034698825,0.00027961296,0.00033678568],"about_ca_topic_score_codex":0.000116970536,"about_ca_topic_score_gemma":0.0013585429,"teacher_disagreement_score":0.18304597,"about_ca_system_score_codex":0.00007424245,"about_ca_system_score_gemma":0.00001930926,"threshold_uncertainty_score":0.43741378},"labels":[],"label_agreement":null},{"id":"W3184005040","doi":"10.2514/6.2021-3028","title":"Aerodynamic Shape Optimization for Unsteady Flows With Application to Laminar Flows","year":2021,"lang":"en","type":"article","venue":"AIAA AVIATION 2021 FORUM","topic":"Computational Fluid Dynamics and Aerodynamics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Drag; Airfoil; Lift-to-drag ratio; Mathematics; Lift coefficient; Laminar flow; Mathematical optimization; Lift (data mining); Computer science; Mechanics; Geometry; Physics; Reynolds number","score_opus":0.003329933635442674,"score_gpt":0.19933504942660907,"score_spread":0.1960051157911664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3184005040","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13875173,0.000058026326,0.85885245,0.0009855725,0.00032132285,0.0005477152,0.0001048644,0.00014532858,0.00023297664],"genre_scores_gemma":[0.9004566,0.000036664143,0.09559407,0.00024642443,0.00012070145,0.00031075836,0.0028718116,0.000083696126,0.00027924922],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99881494,0.000016708711,0.00030342359,0.00034625048,0.00022679167,0.00029187842],"domain_scores_gemma":[0.999169,0.00007850032,0.000046702873,0.00027171095,0.00034017168,0.00009392863],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000101968326,0.0002009257,0.0001884869,0.0001119907,0.00013393893,0.000088999994,0.00011856263,0.00009082771,0.00010983797],"category_scores_gemma":[0.00003163413,0.00022131258,0.000068534944,0.0005481396,0.0000067503615,0.00019659822,0.000036849422,0.0000879071,0.000049224916],"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":[0.000014753185,0.000031584557,0.00023049673,0.00003564831,0.000035175373,0.0000016503194,0.000055252385,0.97161436,0.0030540943,0.005833336,0.00026395326,0.018829692],"study_design_scores_gemma":[0.0004529683,0.000060669798,0.0012739486,0.000028320319,0.000028605418,0.000007204448,0.000081986145,0.99522996,0.00011231041,0.0005092785,0.0019350131,0.00027974424],"about_ca_topic_score_codex":0.0000057543193,"about_ca_topic_score_gemma":0.0005227509,"teacher_disagreement_score":0.7632584,"about_ca_system_score_codex":0.00019776133,"about_ca_system_score_gemma":0.00006175532,"threshold_uncertainty_score":0.9024865},"labels":[],"label_agreement":null},{"id":"W3184075402","doi":"10.2514/6.2021-2774","title":"Evaluating VR practices to support collaborative cabin design process using a human factor approach","year":2021,"lang":"en","type":"article","venue":"AIAA AVIATION 2021 FORUM","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Carleton University; National Research Council Canada","funders":"","keywords":"Process (computing); Aerospace; Multidisciplinary approach; Computer science; Work (physics); Collaborative software; Engineering management; Systems engineering; Engineering; Human–computer interaction; Knowledge management; Aerospace engineering","score_opus":0.21404194888475342,"score_gpt":0.45788939771845943,"score_spread":0.24384744883370602,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3184075402","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.062499676,0.000029460998,0.9329201,0.002153152,0.00010237147,0.0007116676,0.000029789579,0.00006442516,0.0014893698],"genre_scores_gemma":[0.83359414,0.0000031140776,0.165257,0.0006252343,0.000052650208,0.00012730488,0.000051846928,0.000014374663,0.00027432866],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99786144,0.0002733198,0.00036762448,0.0005709532,0.0005619491,0.00036470764],"domain_scores_gemma":[0.99774486,0.0001446837,0.000506431,0.0005402393,0.00088611577,0.00017769063],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006542017,0.00016610515,0.00019794861,0.00011179647,0.00047177856,0.00057647744,0.0004184284,0.000078703706,0.00009610523],"category_scores_gemma":[0.001024372,0.00016926858,0.000042179665,0.0017495706,0.00001862863,0.0014037144,0.00018746288,0.000133092,0.00011801984],"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":[0.00008407206,0.0023902392,0.006550931,0.00026647805,0.0003663844,0.000044878558,0.06408601,0.06964065,0.47672436,0.110199556,0.008366268,0.26128018],"study_design_scores_gemma":[0.0017167404,0.0018097365,0.0086839525,0.00013348111,0.00011413249,0.00009195337,0.01475303,0.76615924,0.18274295,0.013941343,0.008265866,0.0015875681],"about_ca_topic_score_codex":0.000044602162,"about_ca_topic_score_gemma":0.000030208055,"teacher_disagreement_score":0.77109444,"about_ca_system_score_codex":0.00016620649,"about_ca_system_score_gemma":0.0010488952,"threshold_uncertainty_score":0.69025725},"labels":[],"label_agreement":null},{"id":"W3184644817","doi":"10.2514/6.2021-3080","title":"An MBSE Certification-Driven Design of a UAV MALE Configuration in the AGILE 4.0 Design Environment","year":2021,"lang":"en","type":"article","venue":"AIAA AVIATION 2021 FORUM","topic":"Advanced Aircraft Design and Technologies","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Concordia University; European Commission; Natural Sciences and Engineering Research Council of Canada; Consortium de Recherche et d’innovation en Aérospatiale au Québec","keywords":"Certification; Agile software development; Systems engineering; Scope (computer science); Computer science; Engineering design process; Unified Modeling Language; Software engineering; Engineering; Software; Mechanical engineering; Operating system","score_opus":0.025422282930172773,"score_gpt":0.24148749996683988,"score_spread":0.21606521703666712,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3184644817","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020008994,0.0000707678,0.97634435,0.0023145985,0.00004821072,0.00054933265,0.0000062878876,0.00003126761,0.0006261736],"genre_scores_gemma":[0.9770479,0.00011083019,0.022120643,0.00020048257,0.000008103767,0.00012772108,0.000050763134,0.000010166504,0.00032333977],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99864763,0.00026718536,0.00028542866,0.00030381378,0.00029139986,0.00020451253],"domain_scores_gemma":[0.99920154,0.00014529208,0.00014272645,0.00046926553,0.000013034282,0.000028127664],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00030495288,0.00011530664,0.00011928087,0.00003906985,0.00010650109,0.000027433001,0.00025920023,0.00008602555,0.0022204728],"category_scores_gemma":[0.00008009988,0.0000974533,0.000034134056,0.0003010408,0.00011619365,0.0003703179,0.000044404176,0.000104630344,0.00024931025],"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":[0.00004266781,0.0005151104,0.024608133,0.0000064395053,0.000012975581,0.000026674637,0.001301153,0.23556763,0.6957447,0.0036877776,0.0019739757,0.036512773],"study_design_scores_gemma":[0.0012880609,0.0006448988,0.12727416,0.00004307176,0.000052985135,0.000044050877,0.0075693424,0.12782855,0.6871463,0.04035986,0.007034368,0.0007143212],"about_ca_topic_score_codex":0.000030515208,"about_ca_topic_score_gemma":0.000021978782,"teacher_disagreement_score":0.95703894,"about_ca_system_score_codex":0.00011703455,"about_ca_system_score_gemma":0.000021026677,"threshold_uncertainty_score":0.9986916},"labels":[],"label_agreement":null},{"id":"W3184963121","doi":"10.2514/6.2021-3003","title":"Electric Motor Modeling using Artificial Neural Networks: Application for Drones","year":2021,"lang":"en","type":"article","venue":"AIAA AVIATION 2021 FORUM","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec","funders":"","keywords":"Artificial neural network; MATLAB; Computer science; Torque; Universality (dynamical systems); Test data; Test bench; Control engineering; Drone; Artificial intelligence; Engineering; Embedded system","score_opus":0.016246990663497746,"score_gpt":0.22908614522976434,"score_spread":0.2128391545662666,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3184963121","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14104266,0.0006157296,0.8571495,0.000099531404,0.00069119636,0.00014843704,0.0000068049467,0.00012139885,0.00012475064],"genre_scores_gemma":[0.9963619,0.00003038074,0.0026586028,0.00006233147,0.0005713557,0.00006081264,0.00016925552,0.000043686934,0.000041687843],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99908215,0.000014795296,0.00027379516,0.00019619899,0.00010351028,0.00032954806],"domain_scores_gemma":[0.99961436,0.000045836598,0.00004422222,0.00014822937,0.0000997396,0.00004760334],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008914577,0.00013061626,0.00013416173,0.00006916809,0.00016298065,0.000059146972,0.0000633523,0.000095283154,0.000021104917],"category_scores_gemma":[0.000030386846,0.00015560641,0.00008614884,0.00033999165,0.0000040191935,0.00019485483,0.00001738622,0.000100396755,0.000004591732],"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":[0.0000059872345,0.00001001282,0.0001635101,0.000015673857,0.000016733324,7.0017956e-7,0.000026273316,0.9410475,0.031179989,0.0035681417,0.000037538313,0.023927977],"study_design_scores_gemma":[0.00011446963,0.00001367769,0.000019414492,0.00001331469,0.000023056109,0.0000050227595,0.000052110227,0.9901831,0.0070998706,0.0019343394,0.00037513307,0.00016648864],"about_ca_topic_score_codex":0.0000133509075,"about_ca_topic_score_gemma":0.000038721482,"teacher_disagreement_score":0.8553192,"about_ca_system_score_codex":0.00007332671,"about_ca_system_score_gemma":0.000022835191,"threshold_uncertainty_score":0.63454455},"labels":[],"label_agreement":null},{"id":"W3185093731","doi":"10.2514/6.2021-2644.c1","title":"Correction: A Supplementary Analysis and Comparison of Flight Campaign Data to 14 CFR Part 33 Appendix D/ CS 25 Appendix P","year":2021,"lang":"en","type":"article","venue":"AIAA AVIATION 2021 FORUM","topic":"Icing and De-icing Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Appendix; Computer science; Library science; Information retrieval; Geology","score_opus":0.022324344881729886,"score_gpt":0.2762000369328518,"score_spread":0.25387569205112187,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3185093731","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3673014,0.0012869185,0.6097885,0.0068266303,0.0065760952,0.00091043557,0.0032634416,0.0012121113,0.002834482],"genre_scores_gemma":[0.9921032,0.00009539039,0.002543053,0.0000863086,0.00005798502,0.000013848873,0.004622257,0.000020495007,0.0004574309],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986714,0.00003718229,0.00041939868,0.0003436845,0.00024287672,0.00028542604],"domain_scores_gemma":[0.9988727,0.00010237618,0.000082050145,0.0008055154,0.000073993455,0.00006336965],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002064638,0.00016646039,0.0003886242,0.0003040754,0.00011815385,0.000055076493,0.00024366796,0.000100137775,0.0010747528],"category_scores_gemma":[0.00010601447,0.00017911798,0.00006355816,0.0011034324,0.000025461808,0.0001465536,0.00028639447,0.00017288674,0.00010742207],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016475968,0.0000916002,0.3241258,0.00008489356,0.0008110028,0.000011992789,0.0010379127,0.011312698,0.0017803335,0.00036094303,0.63023657,0.030129787],"study_design_scores_gemma":[0.0011152345,0.0002598826,0.029309157,0.0002545019,0.0014857263,0.000032079228,0.0151208695,0.28471673,0.28199652,0.0004352865,0.38423157,0.0010424512],"about_ca_topic_score_codex":0.00019251119,"about_ca_topic_score_gemma":0.0022810623,"teacher_disagreement_score":0.6248018,"about_ca_system_score_codex":0.000056809567,"about_ca_system_score_gemma":0.000023163113,"threshold_uncertainty_score":0.9998384},"labels":[],"label_agreement":null},{"id":"W3185277281","doi":"10.2514/6.2021-2630","title":"An Immersed Boundary Method for Multi-Step Ice Accretion using a Level-Set","year":2021,"lang":"en","type":"article","venue":"AIAA AVIATION 2021 FORUM","topic":"Icing and De-icing Technologies","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Airfoil; Mesh generation; Robustness (evolution); Aerodynamics; Computer science; Polygon mesh; Boundary (topology); Geometry; Mechanics; Finite element method; Mathematics; Physics; Engineering; Computer graphics (images); Structural engineering; Mathematical analysis","score_opus":0.07042848536185921,"score_gpt":0.3433917900457568,"score_spread":0.2729633046838976,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3185277281","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.032028403,0.000111650785,0.96612585,0.0003089471,0.0006910745,0.00017553035,0.00006621016,0.00040616893,0.00008616493],"genre_scores_gemma":[0.59632826,0.00002086587,0.40293005,0.00013948092,0.000073990304,0.000030189769,0.00028045548,0.00004548421,0.00015124609],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99902356,0.000046747118,0.00023656175,0.00025184778,0.00012858957,0.00031269874],"domain_scores_gemma":[0.99935585,0.00006965553,0.000056564037,0.00034034162,0.00013741093,0.00004017629],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026664927,0.00015614081,0.00018575811,0.00012253867,0.00020208837,0.00009763334,0.000113084425,0.00018370818,0.0000320133],"category_scores_gemma":[0.00016478637,0.00017833833,0.000083940206,0.00029631384,0.000017165803,0.00022324118,0.00003685722,0.00014096998,0.0000142464205],"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":[0.00007658747,0.00016144005,0.0056091254,0.0003488412,0.00030559395,0.000024628996,0.0018667575,0.07878348,0.44045538,0.0057565835,0.009604058,0.45700753],"study_design_scores_gemma":[0.0006419117,0.00004848987,0.0015675015,0.000048581063,0.000044735523,0.000015100048,0.0020935764,0.8020078,0.18747027,0.0005543573,0.0052425307,0.00026516253],"about_ca_topic_score_codex":0.00007094234,"about_ca_topic_score_gemma":0.00013391163,"teacher_disagreement_score":0.7232243,"about_ca_system_score_codex":0.000117030584,"about_ca_system_score_gemma":0.00005988452,"threshold_uncertainty_score":0.72724265},"labels":[],"label_agreement":null},{"id":"W3185647729","doi":"10.2514/6.2021-2819","title":"Low Reynolds Number Flow Development Near a Wing Tip in the Presence of Laminar Boundary Layer Separation.","year":2021,"lang":"en","type":"article","venue":"AIAA AVIATION 2021 FORUM","topic":"Fluid Dynamics and Turbulent Flows","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":"University of Waterloo","funders":"","keywords":"Reynolds number; Laminar flow; Bubble; Mechanics; Flow separation; Vortex shedding; Boundary layer; Particle image velocimetry; Vortex; Angle of attack; Physics; Swept wing; Wingspan; Wingtip vortices; Materials science; Vortex ring; Horseshoe vortex; Aerodynamics; Turbulence","score_opus":0.007299060924602433,"score_gpt":0.22766479577615265,"score_spread":0.2203657348515502,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3185647729","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97895473,0.00044499623,0.014157267,0.00091409776,0.0006720098,0.00026144343,0.00001678538,0.000049879152,0.0045288084],"genre_scores_gemma":[0.9948436,0.000051791754,0.004200519,0.00011046164,0.00003452842,0.00003531942,0.00010854509,0.000018002289,0.00059724343],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990566,0.000041429375,0.0002946652,0.00014913525,0.00024978447,0.00020841342],"domain_scores_gemma":[0.9995764,0.000060983297,0.0000335876,0.00023292989,0.00007266973,0.00002341607],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002082479,0.00011014335,0.00012546891,0.00003354507,0.00009159088,0.000081238715,0.000121285106,0.000070558766,0.00023092705],"category_scores_gemma":[0.00003772983,0.00010140392,0.00004532763,0.00033980212,0.000017820728,0.00019209452,0.000041896437,0.00012925922,0.00008676143],"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":[0.00003382306,0.0004125467,0.07124829,0.00043283237,0.00020920599,0.00014750696,0.019437024,0.81999147,0.012867469,0.009078726,0.02487234,0.041268766],"study_design_scores_gemma":[0.00035104583,0.0000119285305,0.02498076,0.000097978314,0.000009228745,0.000011664595,0.00026050338,0.9372285,0.0050980984,0.0004251383,0.031325392,0.00019977044],"about_ca_topic_score_codex":0.000010611796,"about_ca_topic_score_gemma":0.00016585417,"teacher_disagreement_score":0.117237024,"about_ca_system_score_codex":0.00007146925,"about_ca_system_score_gemma":0.00009262648,"threshold_uncertainty_score":0.41351318},"labels":[],"label_agreement":null},{"id":"W3185846941","doi":"10.2514/6.2021-2567.c1","title":"Withdrawal: Numerical Study of the Boundary Layer Behavior on Morphing Trailing Edge Wing using intermittency Transition model","year":2021,"lang":"en","type":"article","venue":"AIAA AVIATION 2021 FORUM","topic":"Fluid Dynamics and Turbulent Flows","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec","funders":"","keywords":"Morphing; Trailing edge; Intermittency; Wing; Boundary layer; Leading edge; Mechanics; Aerospace engineering; Computer science; Physics; Engineering; Turbulence; Artificial intelligence","score_opus":0.015270866734002528,"score_gpt":0.23849317940164252,"score_spread":0.22322231266764,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3185846941","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94204074,0.000068619076,0.05659866,0.0001299798,0.0006266244,0.0002640845,0.000015901282,0.000049708087,0.00020565472],"genre_scores_gemma":[0.99916947,0.0000051222073,0.00056160754,0.00007948785,0.000050656727,0.00002152042,0.000021153022,0.000043267482,0.00004772812],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99889964,0.000042938223,0.0003479172,0.00021420207,0.0002778425,0.00021744342],"domain_scores_gemma":[0.9995399,0.000022130567,0.000054138214,0.00027330994,0.000072300165,0.000038190425],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000097056654,0.00016002414,0.00019040602,0.00006966942,0.00016987397,0.00005570074,0.00011327401,0.0000707913,0.00003766918],"category_scores_gemma":[0.000013250143,0.00014660283,0.00012075308,0.00027885658,0.000013894312,0.00021114494,0.000037291942,0.00024273958,0.000003052921],"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":[0.000007718308,0.00025830415,0.0029627383,0.000022359985,0.000041033236,0.000011773004,0.0021601578,0.9637658,0.028171143,0.00024873164,0.00003095054,0.0023193166],"study_design_scores_gemma":[0.00043838852,0.00004583697,0.0044834656,0.00008389529,0.000079138175,0.000008264146,0.00063714094,0.9921798,0.0017631643,0.00010709292,0.000018552706,0.00015527062],"about_ca_topic_score_codex":0.000026330223,"about_ca_topic_score_gemma":0.00003145051,"teacher_disagreement_score":0.057128686,"about_ca_system_score_codex":0.00008678135,"about_ca_system_score_gemma":0.000046614536,"threshold_uncertainty_score":0.59782904},"labels":[],"label_agreement":null},{"id":"W3185888130","doi":"10.2514/6.2021-2526","title":"Aerodynamic Optimization of a Transonic Strut-Braced-Wing Regional Aircraft Based on the Reynolds-Averaged Navier-Stokes Equations","year":2021,"lang":"en","type":"article","venue":"AIAA AVIATION 2021 FORUM","topic":"Computational Fluid Dynamics and Aerodynamics","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":"University of Toronto","funders":"","keywords":"Wing; Aerodynamics; Lift-induced drag; Lift-to-drag ratio; Angle of attack; Wing twist; Aerospace engineering; Wing configuration; Structural engineering; Wing loading; Airfoil; Engineering","score_opus":0.008660454181349204,"score_gpt":0.20440253969555303,"score_spread":0.19574208551420383,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3185888130","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10468259,0.00014507864,0.8895253,0.004221275,0.00044260008,0.0002755136,0.00010553898,0.00010547304,0.0004966648],"genre_scores_gemma":[0.9932269,0.00005909969,0.0052674552,0.00025415467,0.00004548341,0.000039205384,0.00089627877,0.00004633277,0.00016509384],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985055,0.00009790184,0.00044983736,0.00025993903,0.0004350885,0.00025175407],"domain_scores_gemma":[0.99869615,0.00057336275,0.000095217096,0.00034142868,0.00024179011,0.0000520288],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022815482,0.00020119114,0.00019961325,0.00013429251,0.00021648205,0.00006355863,0.00014974571,0.000103542945,0.0002887018],"category_scores_gemma":[0.00012860539,0.00019596846,0.00017223426,0.0006370002,0.000033594635,0.00017894007,0.00002163101,0.00023263566,0.00001470973],"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":[0.0000086330665,0.000049673272,0.00020950683,0.000021587683,0.00004272812,0.0000025760592,0.000096902775,0.97521436,0.0022004812,0.020735703,0.00013579988,0.0012820585],"study_design_scores_gemma":[0.00044183916,0.000034618985,0.0034438358,0.00009048016,0.000031376207,0.0000025846848,0.00013121517,0.994061,0.00020180063,0.0012129559,0.00015207948,0.00019621586],"about_ca_topic_score_codex":0.000009713986,"about_ca_topic_score_gemma":0.00012645387,"teacher_disagreement_score":0.8885443,"about_ca_system_score_codex":0.00017304986,"about_ca_system_score_gemma":0.00014370587,"threshold_uncertainty_score":0.7991362},"labels":[],"label_agreement":null},{"id":"W3185939239","doi":"10.2514/6.2021-2647","title":"SLD Instrumentation in Icing Wind Tunnels – Investigation Overview","year":2021,"lang":"en","type":"article","venue":"AIAA AVIATION 2021 FORUM","topic":"Icing and De-icing Technologies","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":"Environment and Climate Change Canada; National Research Council Canada","funders":"","keywords":"Icing; Icing conditions; Wind tunnel; Sizing; Environmental science; NACA airfoil; Hard rime; Instrumentation (computer programming); Liquid water content; Slush; Meteorology; Marine engineering; Remote sensing; Computer science; Engineering; Aerospace engineering; Cloud computing; Geology; Physics","score_opus":0.016584254905928974,"score_gpt":0.2323343983582923,"score_spread":0.21575014345236335,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3185939239","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98414433,0.00041297532,0.01072037,0.0019464608,0.00073639734,0.00015144028,0.0000057729435,0.00045026318,0.0014319615],"genre_scores_gemma":[0.99802506,0.00025989907,0.0011802197,0.0002357041,0.00003391639,0.000011585813,0.000099794364,0.000021068017,0.00013274953],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99914724,0.000030287008,0.00027817168,0.00017208236,0.00015242025,0.00021978925],"domain_scores_gemma":[0.99963975,0.000043181317,0.000046683068,0.00019694128,0.00004604547,0.000027378526],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013518949,0.00012008179,0.00014692295,0.00016440947,0.000059275822,0.00005193088,0.00006825167,0.00011607684,0.00006977992],"category_scores_gemma":[0.00010680492,0.00013920559,0.000035479265,0.0005933245,0.000016422142,0.0003209531,0.000036907906,0.00016406133,0.00006879073],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000115136645,0.00007169525,0.31758448,0.0004968865,0.00010306195,0.000061438026,0.0037162122,0.12801123,0.07098313,0.035721816,0.0066996356,0.4365389],"study_design_scores_gemma":[0.0011966032,0.000056120847,0.17088349,0.0007030923,0.000033932927,0.000021208349,0.0033763761,0.06795259,0.71927756,0.034083076,0.0018056044,0.000610332],"about_ca_topic_score_codex":0.00006382413,"about_ca_topic_score_gemma":0.00016308886,"teacher_disagreement_score":0.64829445,"about_ca_system_score_codex":0.00014932912,"about_ca_system_score_gemma":0.000030996318,"threshold_uncertainty_score":0.5676639},"labels":[],"label_agreement":null},{"id":"W3186329695","doi":"10.2514/6.2021-2716.c1","title":"Correction: Adaptive Discontinuous-Galerkin Reduced-Basis Reduced-Quadrature Method for Many-Query CFD Problems","year":2021,"lang":"en","type":"article","venue":"AIAA AVIATION 2021 FORUM","topic":"Advanced Numerical Methods in Computational Mathematics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Adaptive quadrature; Computational fluid dynamics; Quadrature (astronomy); Discontinuous Galerkin method; Basis (linear algebra); Galerkin method; Applied mathematics; Mathematics; Aerospace engineering; Finite element method; Artificial intelligence; Physics; Control theory (sociology); Engineering; Geometry; Thermodynamics; Electronic engineering","score_opus":0.019835794158086527,"score_gpt":0.29818836118615977,"score_spread":0.27835256702807326,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3186329695","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00041083153,0.0005590689,0.98975223,0.0014388305,0.004281622,0.0005914021,0.000064727334,0.0003053328,0.002595934],"genre_scores_gemma":[0.053199966,0.00007375044,0.9414203,0.00023369369,0.0005100398,0.00048493422,0.00018797604,0.00013293925,0.0037563776],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99795836,0.0001579146,0.0006023214,0.0004951591,0.000334487,0.00045173973],"domain_scores_gemma":[0.9975775,0.0013138619,0.0001951807,0.00038214517,0.0004122241,0.000119076736],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003519637,0.00032963033,0.0004557326,0.00012175267,0.0001937304,0.00008847353,0.00017289113,0.00021528923,0.00015745837],"category_scores_gemma":[0.0008553927,0.00035392612,0.00023654237,0.0007446869,0.000033680786,0.00034829043,0.00006896088,0.00038733816,0.00003653818],"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":[0.00008182295,0.00028668827,0.000093283226,0.00047511054,0.0005578516,0.000022119433,0.0012786484,0.48712802,0.046210863,0.05703248,0.05941581,0.34741732],"study_design_scores_gemma":[0.00067040446,0.00014653926,0.00037748786,0.0003012491,0.00013920788,0.0000832493,0.0013143985,0.7075109,0.08010211,0.18614654,0.022394687,0.00081323006],"about_ca_topic_score_codex":0.0000027335022,"about_ca_topic_score_gemma":0.000006986303,"teacher_disagreement_score":0.34660408,"about_ca_system_score_codex":0.00024617693,"about_ca_system_score_gemma":0.00008290134,"threshold_uncertainty_score":0.9998913},"labels":[],"label_agreement":null},{"id":"W3186998467","doi":"10.2514/6.2021-2703","title":"Entropy Stable Split Forms for the Flux Reconstruction High-Order Method: Three-Dimensional Numerical Validation","year":2021,"lang":"en","type":"article","venue":"AIAA AVIATION 2021 FORUM","topic":"Computational Fluid Dynamics and Aerodynamics","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":"McGill University","funders":"","keywords":"Inviscid flow; Applied mathematics; Euler equations; Discontinuous Galerkin method; Nonlinear system; Stability (learning theory); Euler's formula; Entropy (arrow of time); Mathematics; Numerical stability; Mathematical optimization; Numerical analysis; Computer science; Algorithm; Mathematical analysis; Finite element method; Classical mechanics; Physics","score_opus":0.006630668990524987,"score_gpt":0.22695443671101967,"score_spread":0.2203237677204947,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3186998467","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.035631157,0.00016357584,0.960123,0.0020065005,0.0015082306,0.00028640727,0.00010038456,0.00008088196,0.000099862664],"genre_scores_gemma":[0.7626152,0.000055256,0.23220222,0.0003155024,0.00037372863,0.00018555371,0.0029412338,0.00008576013,0.0012255561],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99889773,0.00002684215,0.00032311463,0.00023944334,0.00024638788,0.00026647604],"domain_scores_gemma":[0.99898416,0.00036765967,0.00006332373,0.00020228272,0.00033352338,0.00004903777],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002189861,0.00015451499,0.00016260086,0.000052934283,0.00023988805,0.00010106967,0.00008682437,0.00008722962,0.00045715238],"category_scores_gemma":[0.000080950995,0.00013353207,0.00010720717,0.00035449595,0.000013602049,0.0002581304,0.00004273206,0.00013284433,0.000039209164],"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":[0.000012880556,0.000026512591,0.00059963006,0.000020200632,0.000112050606,0.000001018885,0.000019785737,0.78518564,0.0041866046,0.14493376,0.0012956052,0.06360633],"study_design_scores_gemma":[0.00038241505,0.000019109482,0.0033450646,0.000011974618,0.000040393013,0.000017873186,0.000043652875,0.95157284,0.0016325086,0.039523274,0.0032458785,0.00016501886],"about_ca_topic_score_codex":0.000026402058,"about_ca_topic_score_gemma":0.00007228158,"teacher_disagreement_score":0.7279208,"about_ca_system_score_codex":0.00015019231,"about_ca_system_score_gemma":0.00007584775,"threshold_uncertainty_score":0.54452795},"labels":[],"label_agreement":null},{"id":"W3187021090","doi":"10.2514/6.2021-2605","title":"Pressure fluctuations under a turbulent boundary layer with transpiration cooling","year":2021,"lang":"en","type":"article","venue":"AIAA AVIATION 2021 FORUM","topic":"Fluid Dynamics and Turbulent Flows","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Turbulence; Boundary layer; Mechanics; Transpiration; Flow (mathematics); Coolant; Pressure gradient; Materials science; Thermal; Work (physics); Physics; Thermodynamics; Chemistry","score_opus":0.007346454575144333,"score_gpt":0.20248986279122103,"score_spread":0.1951434082160767,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3187021090","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25354612,0.0050042695,0.7282768,0.0063465843,0.0013317459,0.0006596862,0.00012521687,0.0005373646,0.004172205],"genre_scores_gemma":[0.99627197,0.00011882759,0.0013545915,0.0003232589,0.00009183632,0.00004397464,0.0004442317,0.00004359672,0.0013076959],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990659,0.000021333077,0.0002207452,0.00020970851,0.00024063235,0.00024169812],"domain_scores_gemma":[0.9995083,0.000025036004,0.000029337163,0.00023263719,0.00014256763,0.00006210441],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006066603,0.00015565577,0.00013447115,0.00006552094,0.0001541323,0.00012561891,0.00006442387,0.00009182911,0.0005548875],"category_scores_gemma":[0.0000076001456,0.00015446715,0.00006081543,0.00028135616,0.000015834721,0.00027748875,0.000011083039,0.00015280361,0.00005780428],"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":[0.000012631466,0.000048962178,0.000555968,0.000054130745,0.00016948847,0.00001482445,0.00035027807,0.9763257,0.0069564274,0.011812823,0.0018728505,0.0018259187],"study_design_scores_gemma":[0.0006726463,0.000038837126,0.006018737,0.00005617001,0.00010880268,0.000022992934,0.00011602447,0.95372874,0.0024536406,0.0012296197,0.035243083,0.0003107252],"about_ca_topic_score_codex":0.000009729952,"about_ca_topic_score_gemma":0.00018421483,"teacher_disagreement_score":0.74272585,"about_ca_system_score_codex":0.000055154596,"about_ca_system_score_gemma":0.000076661694,"threshold_uncertainty_score":0.6298987},"labels":[],"label_agreement":null},{"id":"W3187069526","doi":"10.2514/6.2021-2443","title":"Parallel Hybrid-Electric Powertrain Sizing on Regional Turboprop Aircraft with Consideration for Certification Performance Requirements","year":2021,"lang":"en","type":"article","venue":"AIAA AVIATION 2021 FORUM","topic":"Advanced Aircraft Design and Technologies","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Powertrain; Propulsion; Automotive engineering; Alternator; Climb; Engineering; Turboprop; Fuel efficiency; Sizing; Battery (electricity); Electric motor; Aerospace engineering; Power (physics); Mechanical engineering; Torque","score_opus":0.027051258768597736,"score_gpt":0.24881972846861664,"score_spread":0.2217684697000189,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3187069526","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.58949465,0.00013052192,0.3884076,0.017085012,0.0002474826,0.0012772819,0.000013246054,0.0002956995,0.0030485278],"genre_scores_gemma":[0.98407143,0.000069963484,0.013467025,0.0008170593,0.00002678744,0.00017627375,0.00012671389,0.000021434313,0.0012233125],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985015,0.000032650758,0.00025214584,0.0004653006,0.00041412466,0.0003343018],"domain_scores_gemma":[0.99935603,0.000085061634,0.00015674702,0.00029539873,0.00006068452,0.000046068173],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016408693,0.00016833191,0.00013430745,0.00005764598,0.00033758083,0.00005085514,0.000113700844,0.000069631125,0.00023622847],"category_scores_gemma":[0.00015044941,0.00015294598,0.00004743269,0.00032462587,0.00006468243,0.0004772007,0.000036544418,0.00011949837,0.00012463803],"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":[0.0004992483,0.0007321518,0.12156959,0.00006527219,0.00012234677,0.000035487865,0.00042039447,0.020779245,0.46523297,0.011721152,0.020123208,0.35869893],"study_design_scores_gemma":[0.0036162876,0.0015317824,0.15141,0.0001722295,0.0000754697,0.00010869344,0.0007529954,0.06152133,0.7045341,0.034089737,0.040870573,0.0013167678],"about_ca_topic_score_codex":0.000008972913,"about_ca_topic_score_gemma":0.00003158884,"teacher_disagreement_score":0.3945768,"about_ca_system_score_codex":0.0003043131,"about_ca_system_score_gemma":0.000058137244,"threshold_uncertainty_score":0.6236956},"labels":[],"label_agreement":null},{"id":"W3187391094","doi":"10.2514/6.2021-2661","title":"Ice Crystal Environment Modular Axial Compressor Rig: Measurement of ice accretion from video","year":2021,"lang":"en","type":"article","venue":"AIAA AVIATION 2021 FORUM","topic":"Icing and De-icing Technologies","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Modular design; Accretion (finance); Ice crystals; Geology; Gas compressor; Computer science; Remote sensing; Computer graphics (images); Aerospace engineering; Physics; Engineering; Meteorology; Astrophysics; Operating system","score_opus":0.012047682101706468,"score_gpt":0.1924343606639392,"score_spread":0.18038667856223273,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3187391094","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3834364,0.0013883524,0.6108907,0.0011755927,0.0010426561,0.0002617891,0.000101507256,0.0005175936,0.0011854199],"genre_scores_gemma":[0.9972162,0.000151053,0.0023219811,0.00003336,0.00006408579,0.000018614097,0.000115920986,0.000023714723,0.00005507187],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99879044,0.00003667968,0.00029883874,0.00021692282,0.00044089742,0.0002162347],"domain_scores_gemma":[0.99938655,0.000051040188,0.00007565372,0.00037826726,0.000076285825,0.000032230957],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014689977,0.00014583179,0.00020344542,0.00006489898,0.00006837824,0.00002659645,0.00012168488,0.00013316167,0.00020277996],"category_scores_gemma":[0.00010257123,0.00016145543,0.00007597551,0.00012241553,0.00002564476,0.00012683815,0.00008250264,0.00014617937,0.000058589823],"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":[0.000040840812,0.00016878557,0.004059234,0.00013454225,0.0003164644,0.000017764629,0.0006071556,0.1967258,0.7544168,0.002021836,0.0048709414,0.036619805],"study_design_scores_gemma":[0.0006435131,0.0000515934,0.011349237,0.00012348888,0.000066128516,0.0000018911791,0.0005128179,0.04746536,0.9278144,0.0022459081,0.009449902,0.0002757049],"about_ca_topic_score_codex":0.00010369128,"about_ca_topic_score_gemma":0.00003287787,"teacher_disagreement_score":0.6137798,"about_ca_system_score_codex":0.00016093826,"about_ca_system_score_gemma":0.000017802198,"threshold_uncertainty_score":0.6583961},"labels":[],"label_agreement":null},{"id":"W3187555237","doi":"10.2514/6.2021-3031","title":"Dynamic Geometry Control for Robust Aerodynamic Shape Optimization","year":2021,"lang":"en","type":"article","venue":"AIAA AVIATION 2021 FORUM","topic":"Computational Fluid Dynamics and Aerodynamics","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":"University of Toronto","funders":"","keywords":"Aerodynamics; Sequential quadratic programming; Computer science; Optimal control; Geometry; Mathematical optimization; Mathematics; Control theory (sociology); Quadratic programming; Engineering; Control (management)","score_opus":0.0044499735871112115,"score_gpt":0.199855720391926,"score_spread":0.1954057468048148,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3187555237","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.040648155,0.00039654752,0.95581704,0.000906825,0.0011591769,0.00033178792,0.00029125478,0.00018964772,0.00025957215],"genre_scores_gemma":[0.9513421,0.00016427168,0.044915948,0.0002521263,0.0000716598,0.00008296328,0.0026406604,0.000083947925,0.00044629312],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986566,0.000024293176,0.00039898916,0.00032190664,0.00022667347,0.00037156823],"domain_scores_gemma":[0.9990997,0.00018217228,0.00006573672,0.00024147991,0.00032694498,0.000084005376],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00013815193,0.00022141982,0.00024476417,0.00015368164,0.00015277843,0.00011556458,0.0001292286,0.00013812522,0.0003940417],"category_scores_gemma":[0.00009748043,0.0002692277,0.00015960228,0.0004923314,0.000016754831,0.00024374024,0.000033645163,0.00013549584,0.000034916953],"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":[0.000008005739,0.00003242066,0.00042700965,0.000040017694,0.000074311734,0.000003387818,0.000014322125,0.98530865,0.0009670806,0.0049581723,0.0003954309,0.007771183],"study_design_scores_gemma":[0.0009470214,0.000026082815,0.0035548587,0.000022266848,0.000042911786,0.000009619867,0.000057197904,0.99352854,0.000017586686,0.0011612774,0.00034057832,0.00029207455],"about_ca_topic_score_codex":0.0000026823402,"about_ca_topic_score_gemma":0.00010070522,"teacher_disagreement_score":0.91090107,"about_ca_system_score_codex":0.00024794933,"about_ca_system_score_gemma":0.00006903659,"threshold_uncertainty_score":0.999976},"labels":[],"label_agreement":null},{"id":"W3187951807","doi":"10.2514/6.2021-3077","title":"Connecting Model-based Systems Engineering and Multidisciplinary Design Analysis and Optimization for Aircraft Systems Architecting","year":2021,"lang":"en","type":"article","venue":"AIAA AVIATION 2021 FORUM","topic":"Systems Engineering Methodologies and Applications","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"European Commission; Natural Sciences and Engineering Research Council of Canada; Consortium de Recherche et d’innovation en Aérospatiale au Québec","keywords":"Systems engineering; Computer science; Workflow; Process (computing); Aerospace; Systems Modeling Language; Software engineering; Multidisciplinary approach; Conceptual design; Systems design; Unified Modeling Language; Engineering design process; Systems architecture; Architecture; Engineering; Aerospace engineering; Software","score_opus":0.028349592427806533,"score_gpt":0.2547335936333147,"score_spread":0.22638400120550817,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3187951807","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.024663692,0.0015967209,0.9724968,0.00007649991,0.0003218818,0.0005040041,0.00003508512,0.00029623383,0.000009077798],"genre_scores_gemma":[0.73522615,0.00004130337,0.26425287,0.0000029500934,0.00005847089,0.00027737583,0.00007858906,0.000043157615,0.000019161911],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988903,0.00005584234,0.00037047607,0.0003070656,0.000104861916,0.00027144418],"domain_scores_gemma":[0.99874765,0.0007715974,0.00007699529,0.00022272104,0.00011396315,0.00006705111],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004906809,0.0001916416,0.00033208585,0.00023181144,0.00018621914,0.00015515798,0.00005761979,0.000115138835,0.0000020231737],"category_scores_gemma":[0.0002378568,0.00021725599,0.00007064812,0.0005235983,0.000007453943,0.000113856666,0.00003491191,0.000100589044,4.4116354e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000028010295,0.0000056889107,0.0003245754,0.0003257351,0.00016208249,8.8127155e-7,0.00012767797,0.99106467,0.006815114,0.00046591522,0.00000903778,0.0006958382],"study_design_scores_gemma":[0.00028060243,0.000015232366,0.00013447617,0.00008726883,0.00017589747,0.000010782256,0.00063987926,0.99660003,0.0017579956,0.000023566778,0.000042880878,0.0002314097],"about_ca_topic_score_codex":0.000018615256,"about_ca_topic_score_gemma":0.000004855406,"teacher_disagreement_score":0.7105624,"about_ca_system_score_codex":0.000074505195,"about_ca_system_score_gemma":0.000019053046,"threshold_uncertainty_score":0.8859442},"labels":[],"label_agreement":null},{"id":"W3188038261","doi":"10.2514/6.2021-2629","title":"Multi-Layer Stochastic Ice Accretion Model for Aircraft Icing","year":2021,"lang":"en","type":"article","venue":"AIAA AVIATION 2021 FORUM","topic":"Icing and De-icing Technologies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Icing; Accretion (finance); Grid; NACA airfoil; Airfoil; Mechanics; Meteorology; Geology; Mathematics; Geometry; Physics; Turbulence; Reynolds number","score_opus":0.025696818107125895,"score_gpt":0.25736708625251004,"score_spread":0.23167026814538413,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3188038261","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021560723,0.00009683375,0.9760764,0.0007339531,0.0005056444,0.00017406867,0.000019679286,0.0006800439,0.0001526039],"genre_scores_gemma":[0.9668004,0.000022593089,0.032005772,0.00013285573,0.000055098608,0.000067838904,0.00008761465,0.00004338662,0.0007844412],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99909323,0.000009772237,0.00022654045,0.00022021354,0.0001292798,0.00032095725],"domain_scores_gemma":[0.9994341,0.00008386234,0.000040621653,0.00027410648,0.00013316402,0.000034158536],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000111312394,0.00015126067,0.00016833718,0.00010460847,0.00013676399,0.00004913057,0.00009806543,0.00015752346,0.000025997642],"category_scores_gemma":[0.00023662145,0.00016795367,0.00008047798,0.000214215,0.000013668821,0.00017912574,0.000046419435,0.00015138647,0.000048153877],"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":[0.0000074415566,0.000026259611,0.00014904539,0.000066321685,0.000039592847,0.0000022127088,0.00036531634,0.9442279,0.033734515,0.002247541,0.0033567424,0.015777133],"study_design_scores_gemma":[0.00040977704,0.000016380776,0.0002395603,0.00005774098,0.000027636948,0.0000040903783,0.00035451114,0.94858664,0.04788387,0.002057017,0.0001728975,0.0001898694],"about_ca_topic_score_codex":0.000008278203,"about_ca_topic_score_gemma":0.000050140214,"teacher_disagreement_score":0.94523966,"about_ca_system_score_codex":0.00009721023,"about_ca_system_score_gemma":0.000032982512,"threshold_uncertainty_score":0.68489516},"labels":[],"label_agreement":null},{"id":"W3190188828","doi":"10.2514/6.2021-2652","title":"A Preliminary Study of Inter-Facility LWC Differences in Appendix C and Supercooled Large Droplet Conditions due to Calibration Instruments","year":2021,"lang":"en","type":"article","venue":"AIAA AVIATION 2021 FORUM","topic":"Surface Roughness and Optical Measurements","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada; National Research Council Canada","funders":"","keywords":"Supercooling; Calibration; Environmental science; Nuclear engineering; Meteorology; Computer science; Remote sensing; Geology; Engineering; Physics; Statistics; Mathematics","score_opus":0.01523770148021238,"score_gpt":0.23642525191212366,"score_spread":0.22118755043191127,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3190188828","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9947441,0.0000428345,0.004245769,0.00017102047,0.00021285962,0.00036593783,0.0001261177,0.000025003052,0.00006635996],"genre_scores_gemma":[0.99960274,0.00000784075,0.000101340695,0.000029641846,0.0000065740037,0.00007165079,0.0001501598,0.000007923258,0.000022157885],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990368,0.00007664088,0.00031569923,0.00019757201,0.000182529,0.00019077568],"domain_scores_gemma":[0.9996578,0.000038939423,0.000024181303,0.00015602955,0.000057580484,0.00006543475],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000121529934,0.000112290996,0.0002185943,0.00007991705,0.000050788436,0.000032975742,0.000056562192,0.00005493069,0.0003567796],"category_scores_gemma":[0.00007560273,0.00011693943,0.00002242224,0.00027165402,0.000009632683,0.00024067222,0.00007045002,0.00009013801,0.00001931196],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031549913,0.00063396216,0.99094486,0.00007058696,0.000058347097,0.000011751426,0.0021728,0.000436526,0.0027917624,0.00023133507,0.00011415089,0.0025023867],"study_design_scores_gemma":[0.001495969,0.0003224358,0.964805,0.000096659474,0.000027944585,0.0000026370935,0.0081369635,0.02024515,0.0043151174,0.00028817105,0.00006271463,0.00020125066],"about_ca_topic_score_codex":0.000056907767,"about_ca_topic_score_gemma":0.00087325554,"teacher_disagreement_score":0.026139854,"about_ca_system_score_codex":0.00004877834,"about_ca_system_score_gemma":0.000016964681,"threshold_uncertainty_score":0.47686517},"labels":[],"label_agreement":null},{"id":"W3190245082","doi":"10.2514/6.2021-2547","title":"Dynamic Aeroelastic Analysis Using Reduced-Order Modeling with Error Estimation","year":2021,"lang":"en","type":"article","venue":"AIAA AVIATION 2021 FORUM","topic":"Model Reduction and Neural Networks","field":"Physics and Astronomy","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":"University of Toronto","funders":"","keywords":"Aeroelasticity; Flutter; Aerodynamics; Applied mathematics; Eigenvalues and eigenvectors; Estimator; Control theory (sociology); Euler equations; Mathematics; Computer science; Mathematical analysis; Engineering; Physics","score_opus":0.014524431261261373,"score_gpt":0.27296379283830674,"score_spread":0.2584393615770454,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3190245082","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.32432383,0.00002523513,0.6747228,0.0003770263,0.00013567507,0.00006684568,0.0000073113006,0.00001799621,0.0003232896],"genre_scores_gemma":[0.98395795,0.0000028279796,0.014806941,0.00005475733,0.000063566935,0.000014174034,0.00042648223,0.000019901276,0.00065337616],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99893636,0.000045791694,0.00024983703,0.00032203525,0.00020200164,0.00024397614],"domain_scores_gemma":[0.99933046,0.000019709887,0.00012430677,0.0002294961,0.00022466274,0.000071354814],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000055351207,0.00014971856,0.0002002943,0.00011982324,0.00021222336,0.000085009844,0.000055415025,0.00004258354,0.0011389145],"category_scores_gemma":[0.0000063898483,0.00014241734,0.00011698273,0.0010826401,0.000015001189,0.0002786338,0.00003012478,0.00013987026,0.000023198227],"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":[0.000010281579,0.000044690416,0.0015089109,0.0000031404975,0.00023346378,0.0000012397534,0.0000683921,0.9898974,0.0007284206,0.0017643155,0.00002674055,0.0057130116],"study_design_scores_gemma":[0.00023976462,0.000012440672,0.00018733712,0.000020307396,0.00038296927,0.000002562625,0.00048182817,0.9967376,0.00045564322,0.0012946684,0.000017655655,0.0001672345],"about_ca_topic_score_codex":0.000053238324,"about_ca_topic_score_gemma":0.000030285026,"teacher_disagreement_score":0.65991586,"about_ca_system_score_codex":0.00005018064,"about_ca_system_score_gemma":0.00009916402,"threshold_uncertainty_score":0.99977416},"labels":[],"label_agreement":null},{"id":"W3193730082","doi":"10.2514/6.2021-2658.c1","title":"Correction: Uncertainty Analysis of Cloud Conditions in an Engine Icing Tunnel","year":2021,"lang":"en","type":"article","venue":"AIAA AVIATION 2021 FORUM","topic":"Icing and De-icing Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Cloud computing; Icing; Computer science; Environmental science; Aerospace engineering; Meteorology; Engineering; Operating system; Physics","score_opus":0.00863998844478979,"score_gpt":0.2409429714104352,"score_spread":0.2323029829656454,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3193730082","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93798137,0.00008813755,0.058384415,0.0003850188,0.0015532121,0.00007324335,0.000043105236,0.00040279992,0.0010886734],"genre_scores_gemma":[0.99902904,0.00004021834,0.00032388818,0.000037502632,0.000034522473,0.000011175929,0.00034224844,0.000012547645,0.00016883608],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99923843,0.000026756252,0.00028017975,0.00015577996,0.00011496749,0.000183913],"domain_scores_gemma":[0.9994434,0.00009761601,0.00004690159,0.00028002047,0.00010598115,0.0000260504],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011119141,0.00010008806,0.0002444988,0.00044135956,0.000054642587,0.000019464134,0.00007330895,0.000101869,0.0001910977],"category_scores_gemma":[0.00012381427,0.00011392341,0.00008328213,0.0018143009,0.000020297048,0.00012789982,0.000023518885,0.00015666074,0.000010055286],"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":[0.000003113562,0.000041282896,0.03664819,0.000015545314,0.00018227343,0.000007939711,0.0003928502,0.94805986,0.00370185,0.001518293,0.0020664148,0.0073623583],"study_design_scores_gemma":[0.00031305512,0.000044779812,0.10162718,0.0000765463,0.00024145341,0.0000045116567,0.0034958255,0.8360476,0.0565966,0.0010209023,0.00029683937,0.00023474003],"about_ca_topic_score_codex":0.0001420512,"about_ca_topic_score_gemma":0.0018648054,"teacher_disagreement_score":0.11201232,"about_ca_system_score_codex":0.000096869226,"about_ca_system_score_gemma":0.000022826589,"threshold_uncertainty_score":0.4645662},"labels":[],"label_agreement":null},{"id":"W3196214559","doi":"10.2514/6.2021-2726.c1","title":"Correction: CFD Vision 2030 Road Map: Progress and Perspectives","year":2021,"lang":"en","type":"article","venue":"AIAA AVIATION 2021 FORUM","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Computer science; Road map; Computational fluid dynamics; Data science; Engineering; Cartography; Geography; Aerospace engineering","score_opus":0.006596136700190908,"score_gpt":0.23201652489931188,"score_spread":0.22542038819912097,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3196214559","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9050155,0.03546717,0.010683421,0.012921596,0.01036984,0.0005580418,0.00004063289,0.0008271934,0.024116594],"genre_scores_gemma":[0.9948486,0.0007496245,0.00041850962,0.000033527092,0.00015276327,0.000016029922,0.00003085861,0.000017910847,0.0037321527],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994015,0.000015296844,0.0001269318,0.000168056,0.00011941868,0.00016880206],"domain_scores_gemma":[0.99966836,0.00001614274,0.00002248274,0.00014417911,0.00008588982,0.000062964675],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000059237143,0.00009813331,0.00009585725,0.000044683846,0.0001399193,0.00006985511,0.000038032413,0.000069461894,0.00063500233],"category_scores_gemma":[0.000014757005,0.0000982994,0.000032304633,0.000196151,0.000021782009,0.00026293445,0.0000342016,0.00012797497,0.00007186613],"study_design_candidate":"design_other","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":[0.000021302876,0.00013809267,0.053790435,0.00013325576,0.00009277896,0.000026050533,0.0032119502,0.0030742495,0.0060215653,0.001389806,0.12933502,0.8027655],"study_design_scores_gemma":[0.0009043185,0.00014469873,0.28053096,0.00028750897,0.00003254659,0.00006878422,0.0060469187,0.43930054,0.013114893,0.0003689327,0.25857645,0.0006234364],"about_ca_topic_score_codex":0.0000047945737,"about_ca_topic_score_gemma":0.000014355483,"teacher_disagreement_score":0.8021421,"about_ca_system_score_codex":0.000045773155,"about_ca_system_score_gemma":0.000019891717,"threshold_uncertainty_score":0.69528306},"labels":[],"label_agreement":null},{"id":"W4205680991","doi":"10.2514/6.2021-2716","title":"Adaptive Discontinuous-Galerkin Reduced-Basis Reduced-Quadrature Method for Many-Query CFD Problems","year":2021,"lang":"en","type":"article","venue":"AIAA AVIATION 2021 FORUM","topic":"Model Reduction and Neural Networks","field":"Physics and Astronomy","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 Toronto","funders":"","keywords":"Reynolds-averaged Navier–Stokes equations; Computational fluid dynamics; Quadrature (astronomy); Galerkin method; Uncertainty quantification; Aerodynamics; Applied mathematics; Discontinuous Galerkin method; Computer science; Mathematics; A priori and a posteriori; Mathematical optimization; Reynolds number; Navier–Stokes equations; Turbulence; Finite element method; Mechanics; Compressibility","score_opus":0.0167299532773104,"score_gpt":0.27520721231464673,"score_spread":0.2584772590373363,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205680991","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0154456785,0.0005104002,0.95301855,0.015265395,0.0025421435,0.0013046543,0.0003138563,0.00011553459,0.0114838015],"genre_scores_gemma":[0.9539094,0.00003316582,0.018437099,0.00043804446,0.0013842162,0.00048740613,0.000938767,0.00007468334,0.024297196],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9978958,0.00016596334,0.0004679624,0.000680961,0.00025009856,0.00053923164],"domain_scores_gemma":[0.998706,0.00012330947,0.00028694916,0.00041670052,0.00031355495,0.00015351972],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00023055957,0.00031097286,0.00038500916,0.00008380084,0.0003236621,0.00015215106,0.00016414552,0.00015157484,0.001271999],"category_scores_gemma":[0.00002226329,0.00030392755,0.00038992258,0.0004296333,0.000033202978,0.0003619042,0.000084010666,0.00035221069,0.000046156198],"study_design_candidate":"theoretical_or_conceptual","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":[0.0002442953,0.00078452594,0.0018619228,0.00008257351,0.00081300904,0.000009711733,0.0011538353,0.008531848,0.07346897,0.34055924,0.18887462,0.38361543],"study_design_scores_gemma":[0.0052720867,0.0005766089,0.0026813543,0.0005444993,0.0007398015,0.00004571782,0.01061839,0.15065627,0.36348164,0.17798227,0.2843604,0.0030409375],"about_ca_topic_score_codex":0.000051067163,"about_ca_topic_score_gemma":0.00001486644,"teacher_disagreement_score":0.93846375,"about_ca_system_score_codex":0.00005847625,"about_ca_system_score_gemma":0.00015675362,"threshold_uncertainty_score":0.9999413},"labels":[],"label_agreement":null},{"id":"W4206155864","doi":"10.2514/6.2021-2567","title":"Withdrawn: Numerical Study of the Boundary Layer Behavior on Morphing Trailing Edge Wing using intermittency Transition model","year":2021,"lang":"en","type":"article","venue":"AIAA AVIATION 2021 FORUM","topic":"Aeroelasticity and Vibration Control","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec","funders":"","keywords":"Trailing edge; Morphing; Intermittency; Boundary layer; Wing; Leading edge; Mechanics; Aerospace engineering; Materials science; Computer science; Physics; Turbulence; Engineering; Computer graphics (images)","score_opus":0.02094061938598146,"score_gpt":0.24677171516028099,"score_spread":0.22583109577429952,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206155864","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.63325894,0.000027343642,0.36583096,0.00016610067,0.00033956746,0.0002045753,0.000008926385,0.000038217946,0.00012538291],"genre_scores_gemma":[0.9991129,0.0000017163835,0.0005531315,0.00014956896,0.00007772342,0.000026734033,0.000012346796,0.000029034345,0.000036839134],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989378,0.00006524562,0.0003549235,0.00018785924,0.000263789,0.00019040074],"domain_scores_gemma":[0.9995545,0.000045800127,0.000068862326,0.00020815872,0.000084791754,0.000037868384],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009110133,0.00014314194,0.00019004694,0.000056092777,0.00023146102,0.00006166149,0.00009558408,0.0000729139,0.00006993535],"category_scores_gemma":[0.000032929307,0.0001325916,0.00010135948,0.0002564228,0.000017193286,0.00033203617,0.000024955485,0.00024208539,0.000004475931],"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":[0.000016986716,0.0002688591,0.0020488212,0.000021002894,0.0000475229,0.000007234173,0.0035646525,0.92933863,0.06185935,0.0002705163,0.000038241433,0.0025181838],"study_design_scores_gemma":[0.00065849756,0.00006475158,0.0040057697,0.00007851672,0.00010494448,0.000006869632,0.002040967,0.9830086,0.009784156,0.00008127209,0.00001797019,0.00014767596],"about_ca_topic_score_codex":0.000011760833,"about_ca_topic_score_gemma":0.000032003783,"teacher_disagreement_score":0.36585397,"about_ca_system_score_codex":0.000065925284,"about_ca_system_score_gemma":0.000062402054,"threshold_uncertainty_score":0.54069287},"labels":[],"label_agreement":null},{"id":"W4206412244","doi":"10.2514/6.2021-2656","title":"Comparison of a Compact Isokinetic Total Water Content Probe to Standard & T-Shaped Multi-Element Probes for Characterizing Glaciated, Liquid and Mixed Phase Environments","year":2021,"lang":"en","type":"article","venue":"AIAA AVIATION 2021 FORUM","topic":"Icing and De-icing Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Liquid water content; Liquid water; Icing; Remote sensing; Environmental science; Seawater; Liquid phase; Phase (matter); Wind tunnel; Materials science; Hydrology (agriculture); Meteorology; Geology; Geotechnical engineering; Aerospace engineering; Engineering; Oceanography; Physics; Computer science; Earth science","score_opus":0.04289836199737151,"score_gpt":0.29756013779853363,"score_spread":0.2546617758011621,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206412244","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8184233,0.00009276603,0.17964692,0.0008552722,0.00019446044,0.000589754,0.000080531594,0.00011094561,0.000006099153],"genre_scores_gemma":[0.9946962,0.000023485276,0.004644501,0.00005602086,0.000017374881,0.000085065585,0.0002807055,0.00003099521,0.0001656313],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99875015,0.00002520539,0.0004651535,0.00023325783,0.00017936356,0.0003468551],"domain_scores_gemma":[0.99955726,0.000034858112,0.00007763905,0.0002091487,0.000061059625,0.000060011538],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014608254,0.00019021131,0.00038469545,0.00010008413,0.000085553096,0.000039094124,0.0000696951,0.00008493041,0.000042180673],"category_scores_gemma":[0.00007114308,0.00016830814,0.0000619996,0.000084509156,0.00002430396,0.00009424126,0.00007447128,0.00009653709,0.000012072158],"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":[0.00020451724,0.00021818365,0.004413241,0.000150718,0.00010470503,0.0000015004968,0.0015682783,0.0010472554,0.9848048,0.00003937777,0.00031386162,0.007133534],"study_design_scores_gemma":[0.002160527,0.0005817613,0.0025469062,0.00014119348,0.000042400476,0.0000031128093,0.0008841947,0.009528086,0.98004216,0.000019643827,0.0038312853,0.0002187566],"about_ca_topic_score_codex":0.0000112745865,"about_ca_topic_score_gemma":0.000032865624,"teacher_disagreement_score":0.17627297,"about_ca_system_score_codex":0.00009535171,"about_ca_system_score_gemma":0.000010350487,"threshold_uncertainty_score":0.68634063},"labels":[],"label_agreement":null}]}