{"meta":{"query_hash":"72cf8bb94741","filters":{"venue":"AIAA Scitech 2020 Forum"},"cohort_total":66,"direct_labels_cover":0,"predictions_cover":66,"exported":66,"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/72cf8bb94741","api":"https://metacan.xera.ac/api/v1/cohort?venue=AIAA+Scitech+2020+Forum"},"results":[{"id":"W2983784323","doi":"10.2514/6.2020-1598","title":"Pose Tracking Control for Spacecraft Proximity Operations Using the Udwadia-Kalaba Framework","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Space Satellite Systems and Control","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Spacecraft; Tracking (education); Computer science; Control (management); Control engineering; Control theory (sociology); Artificial intelligence; Engineering; Aerospace engineering","score_opus":0.01749918666686999,"score_gpt":0.24122405931480656,"score_spread":0.22372487264793656,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2983784323","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0063941586,0.0001283089,0.987939,0.000056067747,0.000045952445,0.000028838476,0.000013693137,0.00015823166,0.0052357838],"genre_scores_gemma":[0.8325645,0.00048362624,0.15934247,0.00009114398,0.00005197875,0.00021439386,0.00007383472,0.0000538716,0.0071242107],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99979097,0.000033259952,0.000010657967,0.000043830092,0.00009816684,0.000023143979],"domain_scores_gemma":[0.99988544,0.000027454265,0.000025172218,0.000012751759,0.000039333318,0.0000098817345],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033286028,0.00059046806,0.00042570962,0.0003184865,0.0005038948,0.0008436743,0.0008327529,0.00032478152,0.0019148107],"category_scores_gemma":[0.00049679563,0.0002404149,0.00036213355,0.00022657,0.0006472305,0.0007576297,0.0010634774,0.00078207115,0.0004234875],"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":[0.00009168156,0.00005828635,0.00038026343,0.0001430879,0.000027642602,0.00014201272,0.00023973873,0.769976,0.020480465,0.126886,0.001017061,0.080557704],"study_design_scores_gemma":[0.00001051918,0.00008198289,0.000084608306,0.0000093413755,0.000005467249,0.000019003994,0.000017430048,0.9888292,0.0014487654,0.0063118367,0.0031717953,0.0000101384685],"about_ca_topic_score_codex":0.005365522,"about_ca_topic_score_gemma":0.0051358943,"teacher_disagreement_score":0.005365522,"about_ca_system_score_codex":0.00043545789,"about_ca_system_score_gemma":0.0007990466,"threshold_uncertainty_score":0.010668576},"labels":[],"label_agreement":null},{"id":"W2996770870","doi":"10.2514/6.2020-2035","title":"Vortex shedding from a nonparallel two-cylinder tandem configuration","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Fluid Dynamics and Vibration Analysis","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 Toronto","funders":"","keywords":"Vortex shedding; Cylinder; Particle image velocimetry; Reynolds number; Mechanics; Physics; Vortex; Optics; Strouhal number; Kármán vortex street; Wake; Flow (mathematics); Materials science; Geometry; Turbulence; Mathematics","score_opus":0.008691638632835941,"score_gpt":0.21635979706766126,"score_spread":0.2076681584348253,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2996770870","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9950513,0.000029316812,0.0037108557,0.00001893576,0.0000148744475,0.000011086245,0.00003316725,0.000029006505,0.0011015189],"genre_scores_gemma":[0.9978309,0.000015908008,0.0017690642,0.0000050156546,0.000006253952,0.000005770132,0.000048498296,0.0000035962264,0.0003148748],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99973136,0.000020423777,0.00001500719,0.000053449123,0.00011243281,0.00006733092],"domain_scores_gemma":[0.99949217,0.0000675657,0.00014508043,0.000095595286,0.00008375226,0.0001157556],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025596615,0.00036980817,0.0005172707,0.00042849654,0.00046424023,0.0004867862,0.00050622685,0.0006355521,0.000878216],"category_scores_gemma":[0.00049242075,0.00025117004,0.00028048095,0.00033168725,0.00059746916,0.0005262699,0.00094049517,0.0003754078,0.00024690756],"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":[0.0008599517,0.00032888664,0.010687243,0.00010431209,0.000057859546,0.003524245,0.00016746877,0.08779398,0.87704664,0.0028252797,0.0005807869,0.01602339],"study_design_scores_gemma":[0.00026082052,0.0034639316,0.028011749,0.00002405336,0.000045850964,0.0025005576,0.00046643132,0.654089,0.30660987,0.0026978927,0.0017118786,0.000117980235],"about_ca_topic_score_codex":0.000378678,"about_ca_topic_score_gemma":0.00042065218,"teacher_disagreement_score":0.000878216,"about_ca_system_score_codex":0.00023282463,"about_ca_system_score_gemma":0.0004015421,"threshold_uncertainty_score":0.002937913},"labels":[],"label_agreement":null},{"id":"W2996774099","doi":"10.2514/6.2020-2079","title":"Compliant Spacecraft Capture via a Nonlinear Disturbance Observer-based Impedance Controller","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Space Satellite Systems and Control","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":"Carleton University","funders":"","keywords":"Spacecraft; Control theory (sociology); Impedance control; Controller (irrigation); Nonlinear system; Robot; Observer (physics); Computer science; Control engineering; Electrical impedance; State observer; Disturbance (geology); Robotics; Engineering; Artificial intelligence; Aerospace engineering; Control (management); Physics","score_opus":0.008751454888770537,"score_gpt":0.1948680032369716,"score_spread":0.18611654834820104,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2996774099","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03210098,0.000081599384,0.9639732,0.00004797703,0.00003445192,0.000038238624,0.000010929701,0.00045068833,0.003261889],"genre_scores_gemma":[0.943399,0.000117173426,0.052104104,0.000054515705,0.000021323,0.00005633356,0.000042695745,0.000024292389,0.0041804845],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997596,0.00002498331,0.000012576541,0.000035407873,0.00014779347,0.00001958527],"domain_scores_gemma":[0.9997961,0.000048928905,0.00004941529,0.000033180728,0.000060139177,0.000012146598],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020799391,0.0003076369,0.00022850471,0.00017984769,0.00021340823,0.00039228066,0.0005582689,0.00028931748,0.00068392983],"category_scores_gemma":[0.0005227834,0.00013776835,0.00024951095,0.000087743305,0.0003701383,0.00059215294,0.00071098533,0.00044910453,0.00019410337],"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":[0.00039057856,0.00017105279,0.002621444,0.0002896132,0.00007522753,0.00055624224,0.0007877716,0.27250487,0.45948762,0.029326802,0.0013673936,0.23242141],"study_design_scores_gemma":[0.000056632016,0.000375104,0.0014885551,0.000019961037,0.000021663262,0.00013688054,0.00004583664,0.94574535,0.044555422,0.0022236442,0.0053018625,0.000029082907],"about_ca_topic_score_codex":0.0016312553,"about_ca_topic_score_gemma":0.0018237724,"teacher_disagreement_score":0.0016312553,"about_ca_system_score_codex":0.00026263893,"about_ca_system_score_gemma":0.00033195456,"threshold_uncertainty_score":0.003243506},"labels":[],"label_agreement":null},{"id":"W2996802385","doi":"10.2514/6.2020-1293","title":"Truncated-Newton Method with Adjoint-based Hessian-vector Product for Aerodynamic Shape Optimization Problems","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Advanced Numerical Analysis Techniques","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":"McGill University","funders":"","keywords":"Hessian matrix; Aerodynamics; Product (mathematics); Newton's method; Computer science; Mathematical optimization; Mathematics; Applied mathematics; Physics; Engineering; Aerospace engineering; Geometry; Nonlinear system","score_opus":0.009198774735277054,"score_gpt":0.23436410808868982,"score_spread":0.22516533335341277,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2996802385","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002536573,0.0001735801,0.9946285,0.000044162385,0.000034967517,0.000026618583,0.000021794121,0.00015993007,0.0023738171],"genre_scores_gemma":[0.14355665,0.00075502123,0.8463523,0.00012774112,0.000085821885,0.00025746578,0.00029135964,0.00037435818,0.008199216],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99966717,0.00010084793,0.00001859102,0.00003169377,0.0001615523,0.000020131747],"domain_scores_gemma":[0.99948066,0.00024684638,0.000049273174,0.00004537769,0.00014661976,0.000031190248],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006871203,0.00083195977,0.00089951715,0.00048154392,0.00042718387,0.0007272842,0.0010139429,0.00086640066,0.004016274],"category_scores_gemma":[0.0014163501,0.0003839089,0.0007971366,0.00057004753,0.0006955959,0.0009768393,0.0010702468,0.0012938707,0.0011458456],"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":[0.00006499823,0.000081296625,0.0004839418,0.00029336687,0.000045273897,0.00019218547,0.00011097041,0.8391248,0.01310123,0.048833612,0.003166532,0.0945019],"study_design_scores_gemma":[0.000004123711,0.000014451291,0.000037277994,0.000005802717,0.0000026228179,0.000026189104,0.0000045345505,0.99435496,0.00062736083,0.0034426898,0.0014753937,0.0000046524865],"about_ca_topic_score_codex":0.0030708208,"about_ca_topic_score_gemma":0.002793945,"teacher_disagreement_score":0.004016274,"about_ca_system_score_codex":0.0004344263,"about_ca_system_score_gemma":0.0013855386,"threshold_uncertainty_score":0.013435781},"labels":[],"label_agreement":null},{"id":"W2996804334","doi":"10.2514/6.2020-1194","title":"Partial Label Learning of RF Emitters with LSTMs","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Wireless Signal Modulation Classification","field":"Computer Science","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":"Lockheed Martin (Canada)","funders":"","keywords":"Discriminator; Computer science; Radio frequency; Agile software development; Exploit; Radar; Artificial intelligence; Frequency modulation; Identification (biology); Modulation (music); Recurrent neural network; Class (philosophy); Artificial neural network; Telecommunications; Detector","score_opus":0.021008896550166363,"score_gpt":0.23247665713281382,"score_spread":0.21146776058264746,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2996804334","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10034795,0.0013398516,0.88600487,0.0010303061,0.00045823443,0.00007072689,0.001100655,0.00556373,0.0040836288],"genre_scores_gemma":[0.8445458,0.00047580912,0.14232484,0.00050063257,0.00030613635,0.00013329298,0.0032071786,0.00026250663,0.008243757],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99964654,0.000088521534,0.00001968071,0.00012609952,0.00006124309,0.00005788688],"domain_scores_gemma":[0.9991061,0.00038844402,0.00009470528,0.00014194756,0.00022772433,0.00004103726],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00065347576,0.001108094,0.0006829684,0.00046023066,0.00025644296,0.00081379106,0.0013677588,0.0012158545,0.0022481412],"category_scores_gemma":[0.0026546575,0.0003183399,0.00065584853,0.0006246361,0.0003773995,0.0016461209,0.00097250036,0.0019819906,0.0013673194],"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":[0.00040503292,0.00022345621,0.0022092313,0.00021386471,0.0001216775,0.00016390682,0.00017904991,0.39746052,0.019681301,0.0070484933,0.012915002,0.5593785],"study_design_scores_gemma":[0.0000056750464,0.00002694719,0.00014950523,0.000009424532,0.00000746909,0.00000889248,0.000008572481,0.9934875,0.0019767175,0.0036918253,0.00062157237,0.0000058074934],"about_ca_topic_score_codex":0.0035383285,"about_ca_topic_score_gemma":0.005315719,"teacher_disagreement_score":0.0035383285,"about_ca_system_score_codex":0.00064685155,"about_ca_system_score_gemma":0.0005628743,"threshold_uncertainty_score":0.007520795},"labels":[],"label_agreement":null},{"id":"W2996807102","doi":"10.2514/6.2020-1455","title":"Air Sanitization Using AESA Radar","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Target Tracking and Data Fusion in Sensor Networks","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Synthetic aperture radar; Computer science; Boundary (topology); Radar tracker; Radar; Aperture (computer memory); Tracking (education); Remote sensing; Computer vision; Telecommunications; Acoustics; Geology; Physics; Mathematics","score_opus":0.02088827568471755,"score_gpt":0.2348855788809671,"score_spread":0.21399730319624954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2996807102","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.086148545,0.00016921219,0.90831935,0.00015782152,0.00006844665,0.00006395604,0.000073452495,0.001709329,0.0032899103],"genre_scores_gemma":[0.8481031,0.00015775292,0.14816508,0.000067707384,0.000047509202,0.00006587098,0.00013813426,0.00011514845,0.0031396395],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994271,0.00011290331,0.000023107837,0.0001421567,0.00023775548,0.000056988272],"domain_scores_gemma":[0.99936956,0.00019277536,0.000106144566,0.0001290481,0.0001605077,0.000041978008],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006734116,0.0005122684,0.000965881,0.0005001144,0.0004912845,0.0015135492,0.0009817652,0.00070730253,0.0011998574],"category_scores_gemma":[0.001656056,0.0003588806,0.0007820312,0.0003000597,0.0005901164,0.0016116872,0.0013905413,0.00081803807,0.00041350786],"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":[0.000170949,0.000043296735,0.004308278,0.00003148607,0.00004473801,0.00007949185,0.00012020059,0.9100586,0.014370518,0.0063697607,0.00041209874,0.063990586],"study_design_scores_gemma":[0.000005101444,0.000038580743,0.00022701515,0.000002089607,0.00000700937,0.000018387307,0.00001263647,0.99560624,0.0023578142,0.0010794897,0.000639664,0.000005934745],"about_ca_topic_score_codex":0.0030848782,"about_ca_topic_score_gemma":0.0026906892,"teacher_disagreement_score":0.0030848782,"about_ca_system_score_codex":0.0006508416,"about_ca_system_score_gemma":0.0006673832,"threshold_uncertainty_score":0.006133795},"labels":[],"label_agreement":null},{"id":"W2996886134","doi":"10.2514/6.2020-0715","title":"Dynamic Analysis of Deployment of Electric Solar Wind Sail","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Space Satellite Systems and Control","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":"York University","funders":"","keywords":"Software deployment; Finite element method; Solar sail; Satellite; Aerospace engineering; Coupling (piping); Work (physics); Computer science; Physics; Engineering; Structural engineering; Mechanical engineering; Propulsion","score_opus":0.004111937382125106,"score_gpt":0.19066096802652002,"score_spread":0.1865490306443949,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2996886134","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6534901,0.00084718474,0.28860947,0.00064791524,0.000112575544,0.00004959987,0.00016587097,0.00022829247,0.05584905],"genre_scores_gemma":[0.9937464,0.0001822658,0.001583607,0.000020416586,0.0000082412935,0.000013020838,0.000040708343,0.000013241182,0.004392053],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999188,0.00001645313,0.0000026200178,0.00001634715,0.000023546476,0.000022172688],"domain_scores_gemma":[0.99989784,0.000021262187,0.00002890047,0.0000060267794,0.000031968706,0.000014083151],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012836535,0.00036163142,0.0002639395,0.0004031078,0.0003321277,0.0004676206,0.00031308498,0.00039085696,0.0018517413],"category_scores_gemma":[0.00039126741,0.00019069077,0.00025450243,0.00017841722,0.00051856216,0.0005238503,0.00060361763,0.00031381054,0.0002071352],"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":[0.00007367508,0.000017976065,0.0029889992,0.000066176144,0.000019510675,0.00040334827,0.00016225445,0.9635951,0.011320178,0.009465994,0.0007968049,0.011090101],"study_design_scores_gemma":[0.0000017621121,0.000020085023,0.0007724798,0.000004556492,0.0000024981166,0.000023964989,0.000060052364,0.9978275,0.00036660346,0.00045067936,0.00046598402,0.0000039142965],"about_ca_topic_score_codex":0.008817437,"about_ca_topic_score_gemma":0.004229175,"teacher_disagreement_score":0.008817437,"about_ca_system_score_codex":0.00042054636,"about_ca_system_score_gemma":0.00029455696,"threshold_uncertainty_score":0.01753223},"labels":[],"label_agreement":null},{"id":"W2996890275","doi":"10.2514/6.2020-1126","title":"2020 Update on AFRL EXPEDITE Program Progress by Lockheed Martin","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Distributed systems and fault tolerance","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Systems engineering; Airframe; Key (lock); Multidisciplinary approach; Computer science; Engineering management; IBM; Work (physics); Engineering; Aerospace engineering","score_opus":0.007440686855302806,"score_gpt":0.2420549931207259,"score_spread":0.2346143062654231,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2996890275","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013353139,0.038274236,0.053185806,0.098220795,0.07375073,0.0019425382,0.03136365,0.021808576,0.66810054],"genre_scores_gemma":[0.055628777,0.03586957,0.11501299,0.0140501615,0.009770079,0.0017656538,0.057467356,0.006559186,0.70387626],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9889648,0.0009930034,0.0003074078,0.0003714789,0.008608057,0.0007553683],"domain_scores_gemma":[0.9775342,0.0018432868,0.0008670235,0.0013012202,0.016407477,0.0020468975],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02028106,0.0014147257,0.000634793,0.005429806,0.0015623865,0.005288955,0.0022832658,0.002800276,0.045582294],"category_scores_gemma":[0.021477075,0.00052530464,0.0006503239,0.0025877391,0.00070042367,0.0037381344,0.0030048843,0.0031260636,0.030191857],"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":[0.00014006808,0.00015760222,0.0006112586,0.0002715096,0.000008901302,0.000056374076,0.000112749825,0.0011493898,0.0011785115,0.005722418,0.8081225,0.18246876],"study_design_scores_gemma":[0.000010258233,0.000047238118,0.00038222308,0.00011614444,0.0000029824162,0.000016509806,0.0000322783,0.00017757928,0.00037485038,0.00029221637,0.99854076,0.00000704098],"about_ca_topic_score_codex":0.022091739,"about_ca_topic_score_gemma":0.025063872,"teacher_disagreement_score":0.045582294,"about_ca_system_score_codex":0.0051487065,"about_ca_system_score_gemma":0.0149324685,"threshold_uncertainty_score":0.152488},"labels":[],"label_agreement":null},{"id":"W2996913467","doi":"10.2514/6.2020-0085","title":"A local adaptive remeshing procedure for unsteady incompressible viscous flows","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Advanced Numerical Methods in Computational Mathematics","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":"Polytechnique Montréal","funders":"","keywords":"Computer science; Adaptive mesh refinement; Mesh generation; Finite element method; Context (archaeology); Process (computing); Domain (mathematical analysis); Mathematical optimization; Algorithm; Compressibility; Computational science; Mathematics; Mechanics; Mathematical analysis; Structural engineering; Engineering; Geology; Physics","score_opus":0.029179562143641986,"score_gpt":0.2866817326377239,"score_spread":0.2575021704940819,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2996913467","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0065593366,0.000094319825,0.99200386,0.000035137884,0.000019998959,0.000029274619,0.000012760308,0.00031300975,0.00093233585],"genre_scores_gemma":[0.17548569,0.00019239452,0.8199328,0.00005231878,0.000030797128,0.00013848014,0.00006355453,0.00030798186,0.0037960552],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99975985,0.000082678285,0.000012622336,0.00003056877,0.00009825801,0.000016096003],"domain_scores_gemma":[0.99974936,0.00009512872,0.00002854357,0.00006250831,0.00004841424,0.000016029291],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057406485,0.0003268278,0.00045629896,0.000433971,0.00039161686,0.00039483808,0.0008597006,0.00059772487,0.0015564708],"category_scores_gemma":[0.0012336705,0.00024026986,0.00051381567,0.00028524804,0.00058622815,0.00045399816,0.00089423306,0.0007910802,0.0006494874],"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":[0.00016598284,0.00008573686,0.00074612506,0.0003298084,0.0000536281,0.00040839743,0.0005121074,0.3508385,0.16377085,0.07913813,0.0024290767,0.40152156],"study_design_scores_gemma":[0.00001255739,0.00007936574,0.00024975173,0.000018367575,0.0000111648105,0.00015595608,0.000023316246,0.9729013,0.013134898,0.006347837,0.0070370506,0.000028335888],"about_ca_topic_score_codex":0.0006774528,"about_ca_topic_score_gemma":0.00066921016,"teacher_disagreement_score":0.0015564708,"about_ca_system_score_codex":0.00016758307,"about_ca_system_score_gemma":0.000340623,"threshold_uncertainty_score":0.005206883},"labels":[],"label_agreement":null},{"id":"W2996917989","doi":"10.2514/6.2020-0806","title":"Fine-grain Parallel Smoothing by Asynchronous Iterations and Incomplete Sparse Approximate Inverses for Computational Fluid Dynamics","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 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":false,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Asynchronous communication; Benchmark (surveying); Parallel computing; Block (permutation group theory); Multigrid method; Aerodynamics; Sparse matrix; Sparse approximation; Solver; Xeon; Computational science; Iterated function; Algorithm; Applied mathematics; Mathematical optimization; Mathematics; Partial differential equation; Gaussian","score_opus":0.00863353841581491,"score_gpt":0.20618223906415933,"score_spread":0.19754870064834443,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2996917989","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.024951601,0.00014629889,0.9717182,0.00011031124,0.00006506887,0.000027434533,0.00003186397,0.00038634968,0.002562888],"genre_scores_gemma":[0.4031714,0.00028762122,0.59256214,0.00006773236,0.0000721325,0.00007838321,0.00012319093,0.00018199999,0.0034553257],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99972683,0.000076494915,0.000012531137,0.000035131412,0.00012435476,0.000024671099],"domain_scores_gemma":[0.99932563,0.00023673993,0.00007148548,0.00019880784,0.00012205134,0.00004529322],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006347743,0.000464416,0.00037787322,0.00036464081,0.0004230195,0.00065210456,0.00044918698,0.0004899671,0.001203666],"category_scores_gemma":[0.0017214533,0.00019961546,0.00046362093,0.0003857415,0.00068671315,0.00065675954,0.0008180883,0.0008483067,0.00036304403],"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":[0.00014925998,0.000105883584,0.0018673361,0.00012682688,0.00004488552,0.00014054921,0.00016961961,0.8041108,0.035539944,0.06751873,0.0021057636,0.08812036],"study_design_scores_gemma":[0.0000086685595,0.000026282221,0.000120889905,0.000003209041,0.0000033191582,0.000019776939,0.000005646714,0.9872415,0.0051888837,0.0055431295,0.0018326141,0.0000061035453],"about_ca_topic_score_codex":0.0016430699,"about_ca_topic_score_gemma":0.0024190536,"teacher_disagreement_score":0.0016430699,"about_ca_system_score_codex":0.00026442762,"about_ca_system_score_gemma":0.00054424256,"threshold_uncertainty_score":0.0040266514},"labels":[],"label_agreement":null},{"id":"W2996925387","doi":"10.2514/6.2020-1261","title":"Flying Qualities Prediction Tool for Aerial Refuelling Operational Compatibility Assessment","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Aerospace Engineering and Control Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Aviation; Aeronautics; Marine engineering; Aerospace engineering; Engineering; Frequency spectrum; Telecommunications","score_opus":0.015879358685959244,"score_gpt":0.24069927847153139,"score_spread":0.22481991978557214,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2996925387","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.27142897,0.00006417186,0.71603024,0.00007049761,0.000019802064,0.00009993021,0.00068591157,0.005608314,0.0059920973],"genre_scores_gemma":[0.9053828,0.000048238006,0.09228349,0.000013146375,0.00000427499,0.00005884609,0.00050175836,0.000110198875,0.0015971934],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99993944,0.000009058661,0.0000032101332,0.0000094178995,0.000031218402,0.000007614449],"domain_scores_gemma":[0.9997627,0.00010282886,0.00003735426,0.00001879756,0.00006335428,0.000015007633],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016888208,0.0003878895,0.00024506086,0.0004967125,0.00020001689,0.00035137043,0.00035122293,0.00026038123,0.0033834646],"category_scores_gemma":[0.00065049407,0.0001910369,0.00025383214,0.00018316598,0.00008093221,0.00036455513,0.00022567826,0.00031980305,0.00049047644],"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":[0.00012827288,0.00010601114,0.00876489,0.000052900854,0.000023411296,0.0001195484,0.00006943064,0.87688506,0.02080084,0.0011891546,0.001044737,0.090815775],"study_design_scores_gemma":[0.0000046810096,0.000022114613,0.00081894523,0.000002812791,0.00000241596,0.00000777858,0.000007887886,0.9971685,0.0015436148,0.00013875902,0.0002787045,0.000003676809],"about_ca_topic_score_codex":0.009143039,"about_ca_topic_score_gemma":0.007172205,"teacher_disagreement_score":0.009143039,"about_ca_system_score_codex":0.00023738551,"about_ca_system_score_gemma":0.00044698297,"threshold_uncertainty_score":0.018179595},"labels":[],"label_agreement":null},{"id":"W2996936519","doi":"10.2514/6.2020-1389","title":"Application of ModelCenter to Real World Distributed and Parallel Execution Challenges","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Distributed systems and fault tolerance","field":"Computer Science","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":"Lockheed Martin (Canada)","funders":"","keywords":"Computer science; Workflow; Distributed computing; Context (archaeology); Node (physics); Automation; Load balancing (electrical power); Execution time; Parallel computing; Database; Grid","score_opus":0.01785750184209741,"score_gpt":0.24579057309139107,"score_spread":0.22793307124929366,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2996936519","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18920647,0.00038682585,0.78029585,0.004236067,0.00041784171,0.00028121306,0.00030057802,0.006801565,0.018073637],"genre_scores_gemma":[0.73099947,0.0002586794,0.26410297,0.0003049103,0.00006355564,0.00011534855,0.00032577483,0.0006548532,0.003174461],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99849796,0.0005328555,0.000063864616,0.00025642087,0.0004893549,0.00015947095],"domain_scores_gemma":[0.9961832,0.0020200247,0.00019609806,0.00085740176,0.00052769994,0.00021557728],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002597363,0.0005761978,0.0005008371,0.0006163812,0.001154047,0.0025923501,0.0015051801,0.001224862,0.002283014],"category_scores_gemma":[0.0074252477,0.00041940334,0.0006180203,0.0007151932,0.0013066927,0.0017204137,0.0015875539,0.0017615083,0.00037392235],"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":[0.00034671582,0.00038339314,0.0063124057,0.00024263297,0.00009492206,0.00066141994,0.00088208215,0.7309118,0.0153950015,0.1390565,0.0123540955,0.0933591],"study_design_scores_gemma":[0.00003591561,0.000049998132,0.00040209008,0.0000135566925,0.000009761652,0.00007521982,0.00011082873,0.9603658,0.0043461197,0.023462001,0.011112115,0.000016533264],"about_ca_topic_score_codex":0.009107197,"about_ca_topic_score_gemma":0.009616003,"teacher_disagreement_score":0.009107197,"about_ca_system_score_codex":0.0027595297,"about_ca_system_score_gemma":0.002651,"threshold_uncertainty_score":0.020021915},"labels":[],"label_agreement":null},{"id":"W2997008443","doi":"10.2514/6.2020-1633","title":"Fluid-Structure Interaction for the Multidisciplinary Design Optimization of Hopper Cars Employing Honeycomb Sandwich Composites","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Cellular and Composite Structures","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":"Carleton University","funders":"","keywords":"Topology optimization; Stiffness; Sizing; Finite element method; Structural engineering; Truss; Honeycomb; Sandwich-structured composite; Minimum mass; Honeycomb structure; Materials science; Optimal design; Computer science; Composite number; Engineering; Composite material","score_opus":0.0135852009297356,"score_gpt":0.2266681208837214,"score_spread":0.21308291995398582,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2997008443","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.36969453,0.0005813772,0.61851627,0.0002397797,0.000052441843,0.000109862514,0.00006350997,0.00019906246,0.010543131],"genre_scores_gemma":[0.8720679,0.00024354985,0.1246606,0.000050103336,0.000009992086,0.00021032541,0.00008011837,0.000050135404,0.0026272633],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99987745,0.000038033813,0.000003668175,0.00001646868,0.000047565805,0.000016720447],"domain_scores_gemma":[0.99982625,0.000104673105,0.00002341641,0.000008691714,0.000023967876,0.000013068606],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040384597,0.0005054807,0.00043309628,0.00044675975,0.0002611632,0.00051388744,0.00030906,0.0005897049,0.0011940667],"category_scores_gemma":[0.0005897974,0.00026203788,0.00060346635,0.00021149135,0.0004057685,0.00024311854,0.0005329334,0.0004591168,0.00016958514],"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":[0.000025160381,0.000033797474,0.0004219074,0.00004877165,0.000020462328,0.000050741826,0.000022760858,0.98128283,0.009552879,0.0020454202,0.00009109224,0.006404154],"study_design_scores_gemma":[0.000005096447,0.000044990677,0.00015080262,0.0000028978754,0.0000053109356,0.000007876334,0.00001128548,0.99792695,0.0010900967,0.0004114023,0.0003407964,0.0000024058506],"about_ca_topic_score_codex":0.0013303378,"about_ca_topic_score_gemma":0.0022712303,"teacher_disagreement_score":0.0013303378,"about_ca_system_score_codex":0.00034199757,"about_ca_system_score_gemma":0.0008326005,"threshold_uncertainty_score":0.0039945245},"labels":[],"label_agreement":null},{"id":"W2997010138","doi":"10.2514/6.2020-1946","title":"Neuro-Evolutionary Control for Optimal Dynamic Soaring","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Aerospace and Aviation Technology","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Robustness (evolution); Autopilot; Computer science; Trajectory; Control theory (sociology); Artificial neural network; Optimal control; Simple (philosophy); Wind power; Control engineering; Control (management); Artificial intelligence; Engineering; Mathematical optimization; Mathematics","score_opus":0.004834924733051015,"score_gpt":0.19598333632746007,"score_spread":0.19114841159440904,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2997010138","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.061332803,0.00031685334,0.92409784,0.00021639938,0.00007570326,0.00005604727,0.000032762026,0.00017424731,0.013697402],"genre_scores_gemma":[0.944375,0.00016702009,0.050024506,0.00006162776,0.000023028371,0.00012256693,0.000038295373,0.000022624134,0.005165271],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998914,0.00002562414,0.000005096073,0.000022187818,0.0000409603,0.00001459137],"domain_scores_gemma":[0.99975616,0.000116635776,0.000041425275,0.0000131920915,0.000057911504,0.000014649235],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036467196,0.00040867904,0.00033005327,0.00025328988,0.00025869586,0.00045308121,0.00037578182,0.00050866755,0.0012588426],"category_scores_gemma":[0.0011350461,0.00018813275,0.00022649764,0.00024112863,0.0005220511,0.0003059921,0.00046094193,0.0004794222,0.0001325357],"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":[0.000018179775,0.000014595661,0.00013661724,0.000021375645,0.000007672325,0.000033182445,0.000024914394,0.97567165,0.002002703,0.0074251015,0.00020623098,0.01443786],"study_design_scores_gemma":[0.000002526232,0.000016976204,0.00005019312,0.0000019498268,0.0000012036696,0.000005068107,0.0000023280288,0.99855715,0.00014452495,0.0009904304,0.00022624881,0.0000013712519],"about_ca_topic_score_codex":0.0032282348,"about_ca_topic_score_gemma":0.0027962546,"teacher_disagreement_score":0.0032282348,"about_ca_system_score_codex":0.0004212274,"about_ca_system_score_gemma":0.0005324193,"threshold_uncertainty_score":0.006418884},"labels":[],"label_agreement":null},{"id":"W2997032602","doi":"10.2514/6.2020-1391","title":"Lockheed Martin Conceptual Design Modeling in the Dassault Systemes 3DEXPERIENCE<sup>®</sup>Platform","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Systems Engineering Methodologies and Applications","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Aerospace; Multidisciplinary design optimization; Systems engineering; Conceptual design; Multidisciplinary approach; Engineering; Aeronautics; Concurrent engineering; Computer science; Manufacturing engineering; Aerospace engineering; Mechanical engineering","score_opus":0.10656336608514702,"score_gpt":0.26480294570890356,"score_spread":0.15823957962375654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2997032602","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007955971,0.0010766815,0.8608415,0.0014344866,0.0004710557,0.00032258837,0.0025708103,0.010852487,0.11447435],"genre_scores_gemma":[0.21871251,0.002399484,0.64213467,0.0006377857,0.00021331775,0.0020943005,0.0070104543,0.0042042914,0.12259318],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990274,0.00023081496,0.000033162803,0.0001326067,0.0005072109,0.00006882918],"domain_scores_gemma":[0.9995265,0.000119544384,0.000042244537,0.00010603425,0.00016855806,0.000037023197],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001358676,0.0011785828,0.00063554733,0.00075263274,0.00072709355,0.0017969214,0.0015781589,0.0012230485,0.0403103],"category_scores_gemma":[0.0018269549,0.00080495985,0.0011265712,0.0006196485,0.00062787137,0.00121963,0.0014662552,0.0013939688,0.013597427],"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":[0.00017378194,0.00006307389,0.0012466373,0.00037387066,0.000055874665,0.00025062312,0.0003778465,0.5649262,0.012896912,0.23426539,0.06387563,0.12149414],"study_design_scores_gemma":[0.0000710773,0.000110697394,0.0004532706,0.00012785243,0.000029364328,0.00012025661,0.00008626196,0.48877427,0.0057142703,0.028875051,0.4755911,0.000046542027],"about_ca_topic_score_codex":0.006155153,"about_ca_topic_score_gemma":0.007192722,"teacher_disagreement_score":0.0403103,"about_ca_system_score_codex":0.0013243185,"about_ca_system_score_gemma":0.0018486558,"threshold_uncertainty_score":0.13485134},"labels":[],"label_agreement":null},{"id":"W2997113072","doi":"10.2514/6.2020-1048.c1","title":"Correction: Stability of Energy Stable Flux Reconstruction for the Diffusion Problem using Compact Numerical Fluxes on Quadrilateral Elements","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Advanced Numerical Methods in Computational Mathematics","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":"Quadrilateral; Stability (learning theory); Flux (metallurgy); Diffusion; Energy (signal processing); Computer science; Applied mathematics; Mathematics; Materials science; Physics; Thermodynamics; Finite element method; Statistics; Machine learning","score_opus":0.0377113846058039,"score_gpt":0.2916312428602664,"score_spread":0.2539198582544625,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2997113072","genre_codex":"editorial","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0006623617,0.0013438413,0.014503744,0.012824565,0.9603338,0.00005595276,0.0021021133,0.0024703615,0.005703253],"genre_scores_gemma":[0.090086,0.009060968,0.099827066,0.03175541,0.2638992,0.00083106215,0.011906988,0.023787793,0.46884546],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99522674,0.00063871656,0.0007365042,0.000710761,0.0023131825,0.00037406958],"domain_scores_gemma":[0.9724825,0.0049059605,0.0007945216,0.0023693582,0.0186646,0.00078305195],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002475908,0.0030538407,0.0021842655,0.0049934494,0.0030087524,0.0040126615,0.0045900624,0.0056675375,0.12348269],"category_scores_gemma":[0.060094323,0.0013801377,0.0031680218,0.0030735356,0.0021455635,0.004242701,0.0027957961,0.008422649,0.0449149],"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":[0.00010846931,0.000014015389,0.00012709181,0.00048467217,0.000035712015,0.00017639247,0.000052901192,0.00061124325,0.00051600684,0.008158628,0.9752837,0.014431272],"study_design_scores_gemma":[0.00012588942,0.000071828275,0.0012505917,0.0004367898,0.00008858551,0.0009240444,0.00011211476,0.008476024,0.003594148,0.015695406,0.9690972,0.00012742647],"about_ca_topic_score_codex":0.012542463,"about_ca_topic_score_gemma":0.012225607,"teacher_disagreement_score":0.12348269,"about_ca_system_score_codex":0.0040453156,"about_ca_system_score_gemma":0.003859035,"threshold_uncertainty_score":0.41309077},"labels":[],"label_agreement":null},{"id":"W2997120571","doi":"10.2514/6.2020-1595","title":"Composite Magnitude: A tool for creating better star tracker catalogs","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Inertial Sensor and Navigation","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":"Toronto Metropolitan University","funders":"","keywords":"Star tracker; Brightness; Magnitude (astronomy); Stars; Physics; Guide star; Star (game theory); Apparent magnitude; Computer science; Detector; Metric (unit); Calibration; Eclipse; Computer vision; Artificial intelligence; Astrophysics; Optics; Astronomy","score_opus":0.008449654775833048,"score_gpt":0.21414809790090927,"score_spread":0.20569844312507624,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2997120571","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012297493,0.00012383133,0.90875506,0.00009169731,0.00006128453,0.00017700928,0.006492665,0.06816038,0.0038405873],"genre_scores_gemma":[0.076450504,0.00010240363,0.9010482,0.000037613172,0.00007479274,0.0002322215,0.0130279,0.0070620747,0.0019642531],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99814105,0.00028785918,0.0002016752,0.00042844226,0.00085017976,0.000090849346],"domain_scores_gemma":[0.98605424,0.003826245,0.0021745646,0.0032843638,0.0040500336,0.0006105112],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0052935425,0.0014151885,0.0010320448,0.010490498,0.00086405274,0.0031796682,0.001781545,0.0006722721,0.013378366],"category_scores_gemma":[0.024097886,0.0011634147,0.0010876532,0.0043871514,0.00036680824,0.0059090015,0.0025616467,0.001519616,0.0079371305],"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":[0.0005563087,0.00029459895,0.06632072,0.0004359013,0.00020570814,0.00028022367,0.00081825786,0.04502752,0.011731645,0.017554017,0.051336147,0.8054389],"study_design_scores_gemma":[0.00018422511,0.00050116586,0.04889316,0.00022665283,0.00018755843,0.00072210253,0.0003595209,0.6637243,0.047424983,0.041788977,0.1956082,0.00037910123],"about_ca_topic_score_codex":0.0025202802,"about_ca_topic_score_gemma":0.0032928446,"teacher_disagreement_score":0.013378366,"about_ca_system_score_codex":0.0006862993,"about_ca_system_score_gemma":0.0011076529,"threshold_uncertainty_score":0.04475504},"labels":[],"label_agreement":null},{"id":"W2997127373","doi":"10.2514/6.2020-1397","title":"Real-Time Optical Tracking for Store Separation Testing in Wind Tunnel","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Air Traffic Management and Optimization","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":"Separation (statistics); Wind tunnel; Tracking (education); Computer science; Marine engineering; Aerospace engineering; Real-time computing; Engineering","score_opus":0.01937015960107762,"score_gpt":0.2393959067103344,"score_spread":0.22002574710925676,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2997127373","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6128459,0.00022071927,0.37992483,0.000101787155,0.00010822143,0.00023691445,0.0003302839,0.0022090925,0.004022289],"genre_scores_gemma":[0.88795173,0.00010787294,0.10830027,0.0000504156,0.0000084784015,0.00010735487,0.00020408293,0.000092797745,0.0031770547],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992674,0.000095274205,0.000030730895,0.00009516705,0.00043849146,0.00007296377],"domain_scores_gemma":[0.998988,0.00020706141,0.00015965165,0.00009598105,0.0004768823,0.00007244477],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00091390853,0.00033679078,0.00024480282,0.00046981502,0.0003623088,0.00058087765,0.0006831976,0.00039279257,0.001586024],"category_scores_gemma":[0.0010760747,0.00023354788,0.00013768129,0.0003978714,0.00032884438,0.0005566961,0.00036259822,0.00027293,0.00031300532],"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":[0.001498244,0.00044269598,0.015567099,0.00027383328,0.000032873202,0.00016280827,0.0005787124,0.031333536,0.74598956,0.0009614134,0.0017131611,0.20144594],"study_design_scores_gemma":[0.00019512969,0.0020526566,0.029997071,0.000061502724,0.00006145512,0.0003785387,0.00035780313,0.2599891,0.69500315,0.0004336435,0.011324036,0.00014587525],"about_ca_topic_score_codex":0.0037670992,"about_ca_topic_score_gemma":0.007338706,"teacher_disagreement_score":0.0037670992,"about_ca_system_score_codex":0.0005272168,"about_ca_system_score_gemma":0.0009578245,"threshold_uncertainty_score":0.007490337},"labels":[],"label_agreement":null},{"id":"W2997184582","doi":"10.2514/6.2020-0310","title":"Direct Contactless Microfabrication of 2D and 3D Riblet Geometries for Drag Reduction","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Adhesion, Friction, and Surface Interactions","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":"Microsemi (Canada)","funders":"","keywords":"Microfabrication; Drag; Aerospace; Materials science; Aerospace engineering; Reduction (mathematics); Mechanical engineering; Fabrication; Nanotechnology; Engineering","score_opus":0.01043969058160269,"score_gpt":0.22068979348064574,"score_spread":0.21025010289904306,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2997184582","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8573839,0.00096563273,0.12179929,0.00018022637,0.00026551302,0.00018130157,0.00067277794,0.0014457477,0.017105596],"genre_scores_gemma":[0.8639465,0.0004428257,0.12915908,0.00009763445,0.000023396138,0.000094306044,0.00031937877,0.00013773367,0.0057791197],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99973196,0.00001911265,0.000011283919,0.000055261524,0.00013996087,0.00004237622],"domain_scores_gemma":[0.99965703,0.00009002065,0.000074449046,0.00010844459,0.00004774705,0.00002229073],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018287559,0.00040183176,0.00033164423,0.00024912562,0.00019946707,0.00052896066,0.00036708545,0.0005032567,0.0021571314],"category_scores_gemma":[0.00041820246,0.00038755202,0.00030263103,0.00019429688,0.00029016667,0.00027892916,0.00031234798,0.0005409727,0.000707755],"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":[0.00001844327,0.000023418546,0.00016482797,0.000060621212,0.00000444248,0.00013716603,0.000058893984,0.0016552621,0.9909142,0.0005313704,0.0003219969,0.006109294],"study_design_scores_gemma":[0.00001204852,0.00023193687,0.0025189128,0.000008553438,0.000008466149,0.00042940135,0.000038327384,0.015047883,0.97531307,0.00014970158,0.006218984,0.000022643368],"about_ca_topic_score_codex":0.00028965145,"about_ca_topic_score_gemma":0.001339306,"teacher_disagreement_score":0.0021571314,"about_ca_system_score_codex":0.00021472778,"about_ca_system_score_gemma":0.00023635385,"threshold_uncertainty_score":0.0072162747},"labels":[],"label_agreement":null},{"id":"W2997223967","doi":"10.2514/6.2020-1726","title":"An Aeroacoustic Study of the Nose Landing Gear with Emphasis on Steering Actuators, Torque Link and Tow Hook","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Aerodynamics and Acoustics in Jet 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 Toronto","funders":"","keywords":"Freestream; Torque; Landing gear; Noise (video); Engineering; Actuator; Acoustics; Aerospace engineering; Computer science; Reynolds number; Physics; Electrical engineering; Turbulence","score_opus":0.006246365165254486,"score_gpt":0.1973052254246527,"score_spread":0.19105886025939822,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2997223967","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9955029,0.000031326585,0.0028930446,0.000012404546,0.000012885311,0.000015691363,0.000042425912,0.00003014223,0.0014591317],"genre_scores_gemma":[0.9977664,0.00005022335,0.001047086,0.0000070721285,0.0000030283325,0.000009958948,0.000046428588,0.0000081023445,0.0010617408],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998621,0.000016655307,0.000005623722,0.000022741997,0.000061266925,0.00003161367],"domain_scores_gemma":[0.999584,0.00020894757,0.00003712047,0.00002827043,0.00009399736,0.00004761992],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001934421,0.0003690573,0.00031333673,0.00027283322,0.00023838368,0.00026374654,0.00025474542,0.00027398067,0.0012612062],"category_scores_gemma":[0.0005415311,0.00017376221,0.00024119437,0.00016283155,0.0005023944,0.00022105315,0.00023012045,0.00022640525,0.00024102128],"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":[0.0006550961,0.00016450082,0.00562427,0.00009011494,0.000010560486,0.0006524914,0.00014991574,0.014824274,0.969163,0.00031640756,0.00009148666,0.008258029],"study_design_scores_gemma":[0.00014045466,0.0049122428,0.107550055,0.00004072398,0.000048216967,0.00084967137,0.00084592745,0.122386314,0.76039195,0.0004963932,0.0022787335,0.00005942411],"about_ca_topic_score_codex":0.0022482376,"about_ca_topic_score_gemma":0.0022576335,"teacher_disagreement_score":0.0022482376,"about_ca_system_score_codex":0.00018142622,"about_ca_system_score_gemma":0.00021396956,"threshold_uncertainty_score":0.0044702888},"labels":[],"label_agreement":null},{"id":"W2997232336","doi":"10.2514/6.2020-1129","title":"Lockheed Martin Overview of the AFRL EXPEDITE Program: Power and Thermal Management System","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Rocket and propulsion systems research","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":"Lockheed Martin (Canada)","funders":"","keywords":"Aerospace; Systems engineering; Multidisciplinary design optimization; Avionics; Multidisciplinary approach; Engineering; Propulsion; Aeronautics; Computer science; Aerospace engineering; Manufacturing engineering","score_opus":0.021915952701007154,"score_gpt":0.2592212634639211,"score_spread":0.23730531076291395,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2997232336","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014296591,0.0142854955,0.110954106,0.009611504,0.0015869142,0.00074871635,0.0023008112,0.0058779023,0.84033793],"genre_scores_gemma":[0.15075582,0.015641652,0.103097685,0.00234023,0.001195944,0.00093282934,0.0045667165,0.0015467533,0.7199224],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993293,0.0000842712,0.000016112872,0.00005363203,0.0004523367,0.00006443778],"domain_scores_gemma":[0.9996902,0.000024702516,0.000021081702,0.00002857868,0.000159644,0.000075822834],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00093705294,0.000634298,0.00020896336,0.0009669519,0.0007563183,0.00144448,0.00056677876,0.0006660152,0.042754],"category_scores_gemma":[0.00068514457,0.00029856386,0.00024702813,0.000649393,0.00030940995,0.00092914107,0.0007870608,0.0011972415,0.013125663],"study_design_candidate":"not_applicable","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":[0.00029749778,0.00018800404,0.001498245,0.0004452286,0.0000137186225,0.00016133895,0.00034222426,0.01933151,0.017404165,0.06603346,0.37646157,0.5178229],"study_design_scores_gemma":[0.00001313775,0.0001538786,0.000857297,0.00009758544,0.000003616449,0.000058031517,0.00004087305,0.0028949853,0.001565733,0.0018070524,0.9924981,0.000009800853],"about_ca_topic_score_codex":0.007380836,"about_ca_topic_score_gemma":0.010762385,"teacher_disagreement_score":0.042754,"about_ca_system_score_codex":0.0018736395,"about_ca_system_score_gemma":0.0024410344,"threshold_uncertainty_score":0.14302635},"labels":[],"label_agreement":null},{"id":"W2997321178","doi":"10.2514/6.2020-1105","title":"Nonlinear Optimal Approach to Magnetic Spacecraft Attitude Control","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Inertial Sensor and Navigation","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":"Hamilton–Jacobi–Bellman equation; Control theory (sociology); Nonlinear system; Spacecraft; Attitude control; Optimal control; Discretization; Controller (irrigation); Reaction wheel; Kinematics; Nonlinear control; Galerkin method; Computer science; Mathematics; Control engineering; Engineering; Mathematical optimization; Control (management); Physics; Mathematical analysis","score_opus":0.006783254598879047,"score_gpt":0.1978208154298008,"score_spread":0.19103756083092174,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2997321178","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009229106,0.00064908154,0.97265685,0.00032920635,0.000120513345,0.000021319454,0.000017577024,0.0000695135,0.016906744],"genre_scores_gemma":[0.8921912,0.0012207448,0.0920402,0.00024729135,0.00034640732,0.000121044635,0.000042741707,0.000035900113,0.013754528],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998659,0.000036463636,0.000004647579,0.000024078636,0.000055963104,0.000012875675],"domain_scores_gemma":[0.99991715,0.000029811932,0.000015205419,0.000006360306,0.000026757823,0.0000046863797],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027630958,0.0003926814,0.00028272517,0.00025202835,0.0002189526,0.00040327274,0.00043503963,0.0004000535,0.0013077864],"category_scores_gemma":[0.00046046654,0.00013310158,0.00019994445,0.00015401465,0.00063355156,0.000312623,0.0004863321,0.0004427409,0.00021130854],"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":[0.000055528086,0.000042571086,0.0002482585,0.00015319053,0.000019276882,0.000055682565,0.000086342916,0.8133523,0.009095909,0.12503193,0.0012763729,0.050582767],"study_design_scores_gemma":[0.0000069751877,0.000038957267,0.00008251801,0.000005256027,0.0000030178794,0.000010071664,0.000010073413,0.9858913,0.0005789085,0.011041014,0.0023276063,0.00000436641],"about_ca_topic_score_codex":0.0022592668,"about_ca_topic_score_gemma":0.0017961441,"teacher_disagreement_score":0.0022592668,"about_ca_system_score_codex":0.0005445713,"about_ca_system_score_gemma":0.00054831116,"threshold_uncertainty_score":0.0044922233},"labels":[],"label_agreement":null},{"id":"W2997332368","doi":"10.2514/6.2020-2080","title":"Adaptive Control of a Tendon-Driven Manipulator for the Capture of Non-Cooperative Space Targets","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Space Satellite Systems and Control","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":"Carleton University","funders":"","keywords":"Control theory (sociology); Controller (irrigation); Trajectory; Transmission (telecommunications); Mechanism (biology); Computer science; Robot; Control engineering; Adaptive control; Simulation; Engineering; Control (management); Artificial intelligence; Physics","score_opus":0.008050145324835329,"score_gpt":0.19886049629736824,"score_spread":0.1908103509725329,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2997332368","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.31800976,0.00025302978,0.67605925,0.00007852279,0.000042883476,0.00007116799,0.0000129393375,0.00031766508,0.005154746],"genre_scores_gemma":[0.9812624,0.00004935089,0.017310467,0.000014793171,0.00000667248,0.000036485977,0.000008917873,0.0000035650826,0.0013072621],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999192,0.000015160491,0.0000047837857,0.000020202395,0.00003184818,0.000008889846],"domain_scores_gemma":[0.99981576,0.000053303713,0.00005940723,0.000014230714,0.000046062996,0.000011383389],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024358073,0.0002746633,0.0001190959,0.00013060904,0.00015973956,0.00021528066,0.0004399088,0.00019907813,0.0005508699],"category_scores_gemma":[0.0003906916,0.00009914933,0.00014802805,0.000084544576,0.00019770405,0.0001217241,0.00024506834,0.00022332609,0.0001038253],"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":[0.00026339386,0.00018018225,0.002111512,0.00029413734,0.00006698347,0.00042121316,0.0005008011,0.28588325,0.54648644,0.004579509,0.00059992657,0.15861277],"study_design_scores_gemma":[0.00006160038,0.0011404504,0.00233209,0.00001424007,0.000021723334,0.00014883917,0.000041722386,0.95993125,0.033649795,0.00042812634,0.0022103759,0.000019701323],"about_ca_topic_score_codex":0.00098318,"about_ca_topic_score_gemma":0.0012356427,"teacher_disagreement_score":0.00098318,"about_ca_system_score_codex":0.00014881407,"about_ca_system_score_gemma":0.00028196364,"threshold_uncertainty_score":0.0019549131},"labels":[],"label_agreement":null},{"id":"W2997360806","doi":"10.2514/6.2020-1215","title":"Crippling Failure Prediction in Composites Using Machine Learning","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Probabilistic and Robust Engineering Design","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Finite element method; Structural engineering; Composite number; Computer science; Test data; Point (geometry); Software; Engineering; Reliability engineering; Algorithm; Mathematics","score_opus":0.07154266708184337,"score_gpt":0.30061487777522317,"score_spread":0.2290722106933798,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2997360806","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5645443,0.00048329672,0.43199953,0.00023076673,0.000027440368,0.00006888482,0.00017063553,0.00071757723,0.0017575456],"genre_scores_gemma":[0.9547116,0.00011408858,0.044297624,0.000028365355,0.0000116623205,0.000038069207,0.0001635433,0.000013077357,0.0006220269],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99970275,0.00009202633,0.000020407968,0.00006464717,0.00008952784,0.000030709733],"domain_scores_gemma":[0.99743515,0.0017374103,0.00027549756,0.0001318773,0.00036081971,0.000059178856],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013703007,0.0006568982,0.00045252068,0.0011190744,0.00021460046,0.00040518463,0.00047612382,0.0006235532,0.0005831598],"category_scores_gemma":[0.0035955873,0.00026156014,0.00040724882,0.00043541947,0.00039879832,0.00047835446,0.00037193304,0.00069542596,0.00022790224],"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":[0.000051224266,0.000068326415,0.004381532,0.000021559652,0.00001814871,0.000025298697,0.0000132953155,0.95491964,0.0015066782,0.0003181526,0.00020509178,0.038471065],"study_design_scores_gemma":[7.7939666e-7,0.000011971909,0.0004590228,0.0000015846285,8.4772637e-7,0.0000030645351,0.0000019171466,0.99881554,0.00046519225,0.00021172829,0.000026781852,0.0000016695213],"about_ca_topic_score_codex":0.003129879,"about_ca_topic_score_gemma":0.0032224183,"teacher_disagreement_score":0.003129879,"about_ca_system_score_codex":0.00048788733,"about_ca_system_score_gemma":0.00052329816,"threshold_uncertainty_score":0.0072469115},"labels":[],"label_agreement":null},{"id":"W2997410611","doi":"10.2514/6.2020-0471","title":"Navigation Design and Operations of MAVEN Aerobraking","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Planetary Science and Exploration","field":"Physics and Astronomy","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Mars Exploration Program; Spacecraft; Exploration of Mars; Environmental science; Mars landing; Computer science; Aerospace engineering; Meteorology; Astrobiology; Engineering; Geography; Physics","score_opus":0.02053018485498067,"score_gpt":0.23058872203053718,"score_spread":0.2100585371755565,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2997410611","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.30893612,0.0006329391,0.56511503,0.00054635765,0.0003270851,0.00065935723,0.000499427,0.0059053777,0.117378265],"genre_scores_gemma":[0.84730667,0.00022609411,0.13061093,0.00014647476,0.00003833896,0.0004886698,0.00059118564,0.0003745236,0.02021708],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99949944,0.00007407084,0.000018428214,0.00011279514,0.00018833221,0.00010685006],"domain_scores_gemma":[0.99972314,0.000024650804,0.000024494171,0.000045290584,0.00013679796,0.000045510886],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003771051,0.0008458574,0.0005314575,0.0006023926,0.0008690188,0.0011525194,0.00083418924,0.0006391658,0.0035934986],"category_scores_gemma":[0.00071618526,0.00040510952,0.000315142,0.00026241541,0.00036816893,0.00062243396,0.0010384545,0.0005990735,0.0018201614],"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":[0.0020976798,0.00021532291,0.016698534,0.00042771015,0.00010405168,0.0012881445,0.0016430696,0.21869367,0.2808419,0.019920127,0.009263881,0.44880602],"study_design_scores_gemma":[0.00023592549,0.0029436175,0.023736298,0.0001360014,0.00013748137,0.0012279657,0.0008366989,0.54073644,0.11385616,0.005206146,0.31072992,0.00021727904],"about_ca_topic_score_codex":0.0068365284,"about_ca_topic_score_gemma":0.0069395355,"teacher_disagreement_score":0.0068365284,"about_ca_system_score_codex":0.0006568738,"about_ca_system_score_gemma":0.0013388423,"threshold_uncertainty_score":0.013593495},"labels":[],"label_agreement":null},{"id":"W2997416226","doi":"10.2514/6.2020-1998","title":"Flutter Prediction using Reduced-Order Modeling","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 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":"Flutter; Aeroelasticity; Aerodynamics; Airfoil; Euler equations; Control theory (sociology); Degrees of freedom (physics and chemistry); Eigenvalues and eigenvectors; Applied mathematics; Computer science; Mathematics; Engineering; Mathematical analysis; Structural engineering; Physics; Aerospace engineering","score_opus":0.03176648273663107,"score_gpt":0.25501481263250225,"score_spread":0.22324832989587118,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2997416226","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2282606,0.00028883302,0.7561345,0.00024430672,0.000046863202,0.000067274304,0.00030750292,0.0013701073,0.013280023],"genre_scores_gemma":[0.95296824,0.00015347017,0.041905712,0.000037280737,0.000016806709,0.000085851294,0.00026230564,0.0001331485,0.0044370713],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999918,0.000017291608,0.0000029140797,0.000011839822,0.00003765075,0.000012340902],"domain_scores_gemma":[0.99983525,0.0000696294,0.000025567975,0.000021464317,0.00003816832,0.000009818789],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000171309,0.00034568648,0.0005314018,0.00038646237,0.00025029364,0.000491533,0.00049173523,0.00056291296,0.0012003273],"category_scores_gemma":[0.00058616255,0.00028891672,0.000592033,0.00019762773,0.0002865646,0.0004410904,0.00033070814,0.00060349255,0.0003216944],"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":[0.000007258543,0.000008691474,0.00019286382,0.000008779949,0.000004172379,0.000012183081,0.0000099698045,0.99460137,0.0013688247,0.00065415824,0.00012065266,0.0030111375],"study_design_scores_gemma":[5.73833e-7,0.0000013380778,0.000032143806,4.0988095e-7,3.124032e-7,9.846008e-7,6.010083e-7,0.99968004,0.00009770411,0.00014337298,0.00004175413,7.23798e-7],"about_ca_topic_score_codex":0.011967417,"about_ca_topic_score_gemma":0.008428773,"teacher_disagreement_score":0.011967417,"about_ca_system_score_codex":0.00048809318,"about_ca_system_score_gemma":0.00068575237,"threshold_uncertainty_score":0.023795545},"labels":[],"label_agreement":null},{"id":"W2997450130","doi":"10.2514/6.2020-1815","title":"Vortex Structure of a Synthetic Jet Issuing into a Turbulent Boundary Layer from a Finite-span Rectangular Orifice","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Fluid Dynamics and Turbulent Flows","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":"University of Toronto","funders":"","keywords":"Body orifice; Vortex; Jet (fluid); Mechanics; Synthetic jet; Turbulence; Boundary layer; Physics; Break-Up; Classical mechanics; Engineering; Mechanical engineering","score_opus":0.006182297688209051,"score_gpt":0.1950515797291207,"score_spread":0.18886928204091166,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2997450130","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99766064,0.000024357772,0.0016073049,0.000018567314,0.000007429097,0.000005686599,0.000057110472,0.00003539593,0.0005835599],"genre_scores_gemma":[0.9984138,0.000019731644,0.0010775644,0.00000693002,0.000001902055,0.000004833096,0.000117554846,0.0000066900834,0.00035093987],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999627,0.0000038418007,0.000002341254,0.000005970066,0.000013807466,0.000011339334],"domain_scores_gemma":[0.99983776,0.00005486731,0.0000324273,0.000010578175,0.000024316452,0.000040019695],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000096587406,0.0001411243,0.00014586981,0.00026508924,0.00020943531,0.0003241193,0.0001891003,0.0002628378,0.00097599975],"category_scores_gemma":[0.00029999763,0.0000785471,0.00014042869,0.00018574625,0.00034441915,0.00021142868,0.00016583073,0.0002604771,0.00005497398],"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":[0.001078785,0.0005122479,0.020618262,0.00014093526,0.000070488284,0.0021262341,0.0006143195,0.25099465,0.69599885,0.0055824327,0.0008494451,0.021413403],"study_design_scores_gemma":[0.00014858993,0.0014526806,0.06209816,0.000024492763,0.000022120657,0.00029296576,0.00037664286,0.8415011,0.091745794,0.0010442694,0.0012324501,0.00006067801],"about_ca_topic_score_codex":0.0007557339,"about_ca_topic_score_gemma":0.00045061656,"teacher_disagreement_score":0.00097599975,"about_ca_system_score_codex":0.00023169526,"about_ca_system_score_gemma":0.00020135789,"threshold_uncertainty_score":0.0032650232},"labels":[],"label_agreement":null},{"id":"W2997468069","doi":"10.2514/6.2020-0338","title":"Automatic adaptive remeshing for unsteady interfacial flows with surface tension","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Fluid Dynamics and Heat Transfer","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":"Polytechnique Montréal","funders":"","keywords":"Computer science; Eulerian path; Context (archaeology); Computational fluid dynamics; Grid; Finite element method; Interface (matter); Surface (topology); Algorithm; Computational science; Mechanics; Applied mathematics; Mathematics; Geometry; Physics; Engineering; Bubble; Parallel computing; Structural engineering","score_opus":0.012878772238814312,"score_gpt":0.19966324922815457,"score_spread":0.18678447698934025,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2997468069","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06607534,0.00009974842,0.9300166,0.00012091355,0.000029944022,0.00005569537,0.000034274002,0.0009939023,0.0025736422],"genre_scores_gemma":[0.37073112,0.00009571173,0.62674314,0.0000487812,0.000011892238,0.00011058574,0.00010280628,0.0002550094,0.0019009727],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99982625,0.000053564214,0.0000130797525,0.000016515382,0.00007351655,0.000017099608],"domain_scores_gemma":[0.9994815,0.0002551992,0.00005163026,0.000104176404,0.00008895083,0.000018566625],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005322993,0.00041310614,0.00031687677,0.0003504498,0.000384531,0.00044813656,0.0009694665,0.00057937147,0.0013707654],"category_scores_gemma":[0.00177924,0.00017711933,0.00029045035,0.00024279888,0.00054490333,0.00052396394,0.0008831734,0.0007227575,0.00030742402],"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":[0.00023244043,0.00013866977,0.0024780245,0.00019447667,0.000032927255,0.00031364037,0.0007316739,0.70948917,0.10772746,0.024184406,0.0017042683,0.1527728],"study_design_scores_gemma":[0.000013183775,0.000020002226,0.00013139122,0.0000050310464,0.0000018274285,0.000045575223,0.000017363474,0.9890323,0.00818976,0.0013100285,0.001225434,0.000008219645],"about_ca_topic_score_codex":0.0016466813,"about_ca_topic_score_gemma":0.0021513668,"teacher_disagreement_score":0.0016466813,"about_ca_system_score_codex":0.00027493946,"about_ca_system_score_gemma":0.00054430746,"threshold_uncertainty_score":0.0045856237},"labels":[],"label_agreement":null},{"id":"W2997499168","doi":"10.2514/6.2020-1542","title":"Effect of Target Lift Coefficient on Aerodynamic Optimization of Transonic Leading Edge Tubercles","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Aerodynamics and Fluid Dynamics Research","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Transonic; Aerodynamics; Lift coefficient; Aerospace engineering; Wing; Leading edge; Lift (data mining); Airfoil; Computer science; Automotive engineering; Physics; Mechanics; Engineering","score_opus":0.005426067706200265,"score_gpt":0.23068998305292548,"score_spread":0.2252639153467252,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2997499168","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9734634,0.0001598964,0.018762816,0.000057147812,0.00002031248,0.000032516135,0.00005294112,0.00011925846,0.007331605],"genre_scores_gemma":[0.9935394,0.00006032215,0.0054465607,0.000016181753,0.0000020661862,0.00001571583,0.000035732734,0.00005200411,0.0008320357],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99987245,0.000018762943,0.000005219417,0.00001904755,0.000036024965,0.000048543698],"domain_scores_gemma":[0.99972385,0.000105633764,0.000049662714,0.00002384987,0.0000727175,0.000024308489],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028519635,0.00048723552,0.0003264585,0.00034955505,0.00021614038,0.00059343013,0.00023838482,0.00042137282,0.0019153102],"category_scores_gemma":[0.0008956797,0.00017963722,0.00041933858,0.00019190848,0.00027161647,0.00024337666,0.00045041216,0.00035899662,0.00026213558],"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":[0.0007617998,0.00033793898,0.0068567544,0.0003066593,0.000058231206,0.0005111651,0.00015799474,0.6579033,0.28407606,0.0016277671,0.0005902788,0.04681203],"study_design_scores_gemma":[0.00012811528,0.0036400342,0.022101564,0.00007411922,0.00012329083,0.00040265825,0.0005830676,0.75578946,0.21238579,0.0007164044,0.003975052,0.00008039559],"about_ca_topic_score_codex":0.0009851735,"about_ca_topic_score_gemma":0.0012492589,"teacher_disagreement_score":0.0019153102,"about_ca_system_score_codex":0.00018813256,"about_ca_system_score_gemma":0.00035526688,"threshold_uncertainty_score":0.0064073205},"labels":[],"label_agreement":null},{"id":"W2997528825","doi":"10.2514/6.2020-1718","title":"Guidance of Unmanned Aerial Gliders for Wildfire Surveillance","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Aerospace and Aviation Technology","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":"McGill University","funders":"","keywords":"Glider; Exploit; Firefighting; Airspeed; Aerodynamics; Computer science; Trajectory; Environmental science; Aerospace engineering; Engineering; Marine engineering; Geography","score_opus":0.0072212595617693245,"score_gpt":0.20546100971237974,"score_spread":0.1982397501506104,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2997528825","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34576103,0.00035103472,0.64124554,0.00015332075,0.00008023743,0.00014800926,0.00009768001,0.0013466267,0.010816529],"genre_scores_gemma":[0.96057296,0.000097796794,0.03759607,0.00002400912,0.000006665083,0.00003713325,0.000051305353,0.000011382562,0.0016026794],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999583,0.0000079058655,0.000001626062,0.0000067201804,0.00001729402,0.000008100514],"domain_scores_gemma":[0.9999497,0.000012826785,0.000012065231,0.000006998086,0.000011367175,0.000007069323],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000090547066,0.00029210016,0.00011857137,0.00013114943,0.0001490353,0.00017536008,0.00020614632,0.00020620941,0.0007347395],"category_scores_gemma":[0.00019658767,0.000092307164,0.00014503142,0.000046062207,0.0001594331,0.00020772776,0.00028363583,0.000265677,0.000135356],"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":[0.00013182625,0.00007447175,0.0026441272,0.00008417037,0.000025147798,0.0002622173,0.00021669612,0.7745404,0.09188774,0.0043651676,0.0012216325,0.124546364],"study_design_scores_gemma":[0.000019003348,0.00025560497,0.00095747726,0.0000072544417,0.0000064382566,0.000045271172,0.00003716249,0.9874867,0.007350207,0.00082479225,0.003003226,0.0000068644117],"about_ca_topic_score_codex":0.0032325136,"about_ca_topic_score_gemma":0.004874155,"teacher_disagreement_score":0.0032325136,"about_ca_system_score_codex":0.00013708301,"about_ca_system_score_gemma":0.00038529094,"threshold_uncertainty_score":0.0064274073},"labels":[],"label_agreement":null},{"id":"W2997531993","doi":"10.2514/6.2020-1600","title":"On Deep Reinforcement Learning for Spacecraft Guidance","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Space Satellite Systems and Control","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Reinforcement learning; Computer science; Spacecraft; Artificial intelligence; Deep learning; Controller (irrigation); Control engineering; Simulation; Engineering; Aerospace engineering","score_opus":0.007271571217677717,"score_gpt":0.20495529038408739,"score_spread":0.19768371916640967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2997531993","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009323,0.0007024549,0.9849555,0.00043517613,0.000082063634,0.0000229188,0.000029226558,0.00035774361,0.0040918537],"genre_scores_gemma":[0.8502638,0.0010943782,0.14135063,0.00041622965,0.00013359594,0.0001136785,0.00011826444,0.00008619903,0.006423338],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997322,0.00008300662,0.000011240958,0.000045625635,0.000091597365,0.000036285634],"domain_scores_gemma":[0.9994097,0.00034592513,0.000054736964,0.000050703762,0.00010943253,0.000029577106],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007507814,0.000737436,0.00051434734,0.00022069702,0.00019597306,0.00047104305,0.0007165355,0.00067653693,0.001838618],"category_scores_gemma":[0.002350457,0.00024895585,0.00026340954,0.00024783067,0.0007886994,0.0007042785,0.00086310523,0.0015483549,0.00028358688],"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":[0.000066806875,0.000046144753,0.0004533074,0.00007460633,0.00003877412,0.00005642155,0.00003771631,0.9007469,0.0029210257,0.02698337,0.0014966729,0.067078225],"study_design_scores_gemma":[0.000006013372,0.000029872424,0.000042880187,0.0000060744346,0.0000031096415,0.000007572686,0.0000019865374,0.992035,0.0005098035,0.006614442,0.00074037444,0.0000029281273],"about_ca_topic_score_codex":0.004064239,"about_ca_topic_score_gemma":0.003356912,"teacher_disagreement_score":0.004064239,"about_ca_system_score_codex":0.00070165703,"about_ca_system_score_gemma":0.00076375576,"threshold_uncertainty_score":0.008081138},"labels":[],"label_agreement":null},{"id":"W2997535962","doi":"10.2514/6.2020-1130","title":"Operations Analysis Integration for Effectiveness-Based Design in the AFRL EXPEDITE Program","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Technology Assessment and Management","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"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; Systems engineering; Software engineering; Computer architecture; Engineering","score_opus":0.019952155089473903,"score_gpt":0.2855408507150963,"score_spread":0.2655886956256224,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2997535962","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016354201,0.00012434467,0.94924414,0.0005174207,0.00006286481,0.0006777416,0.00023316337,0.0011112794,0.03167498],"genre_scores_gemma":[0.25042284,0.00024037689,0.7383903,0.00021953146,0.0000766834,0.0013132759,0.0007040925,0.00039864765,0.008234322],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9933843,0.0028419136,0.00024631692,0.0002620475,0.0028919855,0.00037348497],"domain_scores_gemma":[0.9947889,0.0023621477,0.0004262194,0.0005692043,0.001693985,0.0001595847],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01161849,0.0011321666,0.000682286,0.0021837011,0.0006130084,0.0032981155,0.00095496187,0.0006105801,0.008106982],"category_scores_gemma":[0.00828038,0.00060377986,0.0009806051,0.0008256032,0.00082482083,0.0017798499,0.001912369,0.0021039485,0.00091496273],"study_design_candidate":"not_applicable","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":[0.00038299337,0.0007588417,0.0025368622,0.00024385168,0.00009243306,0.00009540158,0.00027008247,0.49205154,0.008639471,0.22887927,0.007343084,0.25870618],"study_design_scores_gemma":[0.00014513626,0.0009354067,0.0020059685,0.00017892869,0.00007518563,0.000057698748,0.0002437153,0.8818388,0.0093209585,0.05231769,0.05282499,0.0000555362],"about_ca_topic_score_codex":0.0043492094,"about_ca_topic_score_gemma":0.003544298,"teacher_disagreement_score":0.01161849,"about_ca_system_score_codex":0.0024322555,"about_ca_system_score_gemma":0.00535892,"threshold_uncertainty_score":0.061445236},"labels":[],"label_agreement":null},{"id":"W2997555080","doi":"10.2514/6.2020-2043","title":"Surface pressure and coherent structure evolution on an axially accelerated delta wing","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 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":"Queen's University","funders":"","keywords":"Vorticity; Airfoil; Wing; Angle of attack; Mechanics; Lyapunov exponent; Flow (mathematics); Pitching moment; Lift (data mining); NACA airfoil; Physics; Drag; Geology; Aerodynamics; Geometry; Aerospace engineering; Vortex; Engineering; Mathematics; Computer science","score_opus":0.009659925834787924,"score_gpt":0.2077258661714546,"score_spread":0.1980659403366667,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2997555080","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99938726,0.000004294645,0.00042757118,0.0000049531523,8.809749e-7,0.000001837148,0.00001815316,0.000009894083,0.00014517039],"genre_scores_gemma":[0.999642,0.0000058797386,0.00022119723,0.0000014984778,8.1604566e-7,0.0000019134282,0.000031575226,0.0000019675958,0.00009323855],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999527,0.000006513827,0.0000015025514,0.000009657102,0.000018872055,0.000010711746],"domain_scores_gemma":[0.9998561,0.000042806703,0.000026608755,0.000012693958,0.000032121334,0.000029704997],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007218602,0.00019170291,0.00015297956,0.0003145951,0.00019934842,0.00021411895,0.00015058563,0.00015613012,0.00046741072],"category_scores_gemma":[0.00027773026,0.00008560097,0.00010780739,0.00016619197,0.00038993565,0.00017455948,0.0001718938,0.00022625201,0.00005004016],"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":[0.00092279434,0.0004897242,0.04726771,0.000059575166,0.000049512586,0.0012923381,0.00050941645,0.11077002,0.8142666,0.0018179298,0.0003401943,0.02221413],"study_design_scores_gemma":[0.000044045613,0.0010298815,0.16254742,0.000006277335,0.000016196756,0.000246368,0.00025366596,0.75442237,0.08073517,0.0003647972,0.00029268756,0.000041146355],"about_ca_topic_score_codex":0.0017327021,"about_ca_topic_score_gemma":0.001111871,"teacher_disagreement_score":0.0017327021,"about_ca_system_score_codex":0.0002012266,"about_ca_system_score_gemma":0.00015910689,"threshold_uncertainty_score":0.0034452677},"labels":[],"label_agreement":null},{"id":"W2997566080","doi":"10.2514/6.2020-1128","title":"Multidisciplinary Design Optimization for Effectiveness-Based Design in the AFRL EXPEDITE Program","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Systems Engineering Methodologies and Applications","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":"Lockheed Martin (Canada)","funders":"","keywords":"Multidisciplinary design optimization; Multidisciplinary approach; Sizing; Systems engineering; Aerodynamics; Computer science; Electromagnetics; Design methods; Engineering; Aerospace engineering; Mechanical engineering; Electronic engineering","score_opus":0.07818720141692494,"score_gpt":0.31320005888498825,"score_spread":0.23501285746806333,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2997566080","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009422713,0.00015901391,0.9735607,0.0003071007,0.000041179374,0.00007509774,0.00007214733,0.00023499297,0.016127013],"genre_scores_gemma":[0.33754817,0.00039586148,0.6504307,0.00021337009,0.00004800394,0.0005685676,0.00027667734,0.0003491001,0.010169629],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989454,0.0004100134,0.000021434314,0.00006135172,0.0005081519,0.000053717056],"domain_scores_gemma":[0.99940693,0.0002618527,0.00005816626,0.00008074508,0.0001555319,0.000036915964],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025382387,0.0007353117,0.00070575654,0.00067944225,0.00040396725,0.0010797678,0.00076529884,0.00056498294,0.0049777],"category_scores_gemma":[0.0021509358,0.00041436747,0.0007048542,0.00044524155,0.0005319506,0.0007130332,0.001118801,0.0014000062,0.00064811256],"study_design_candidate":"not_applicable","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":[0.000048693615,0.00006941381,0.0002626404,0.000055052944,0.00001599003,0.000017678802,0.000033598066,0.9122657,0.003549819,0.04374786,0.00217223,0.037761312],"study_design_scores_gemma":[0.00002120282,0.00009069406,0.00012398881,0.0000150365695,0.000006476444,0.000009847523,0.00001430706,0.97702616,0.0018621722,0.010529279,0.010294583,0.0000062343133],"about_ca_topic_score_codex":0.0017451764,"about_ca_topic_score_gemma":0.0025472934,"teacher_disagreement_score":0.0049777,"about_ca_system_score_codex":0.0010722107,"about_ca_system_score_gemma":0.001662477,"threshold_uncertainty_score":0.016652048},"labels":[],"label_agreement":null},{"id":"W2997682143","doi":"10.2514/6.2020-1603","title":"Modular Derivation of the Equations of Motion of a Flexible Launch Vehicle with Propellant Slosh","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Fluid Dynamics Simulations and Interactions","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":"Polytechnique Montréal; McGill University","funders":"","keywords":"Slosh dynamics; Propellant; Modular design; Trajectory; Propulsion; Vehicle dynamics; Aerospace engineering; Equations of motion; Computer science; Missile; Launch vehicle; Variety (cybernetics); Engineering; Control theory (sociology); Control engineering; Simulation; Control (management); Physics","score_opus":0.009641836240598814,"score_gpt":0.19335865991664303,"score_spread":0.18371682367604422,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2997682143","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021864159,0.0002522071,0.9445834,0.0003929208,0.00013742557,0.00017896395,0.00037467098,0.00019429058,0.032022007],"genre_scores_gemma":[0.50585294,0.0012456446,0.4213332,0.00042454628,0.00011456012,0.00074516516,0.0005088522,0.00034372183,0.0694313],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99986506,0.000020187454,0.000008562232,0.000017995379,0.00007571873,0.000012444082],"domain_scores_gemma":[0.9998708,0.000034098462,0.00002423613,0.00001747302,0.00004440116,0.000008973023],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031264502,0.0005461507,0.00037959003,0.0004208036,0.00037696963,0.0005998331,0.0007497175,0.00083223404,0.004490652],"category_scores_gemma":[0.0007309975,0.00034823772,0.0007614176,0.00025973906,0.0004952807,0.0005305935,0.0011770732,0.0013317056,0.001191343],"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":[0.000020461905,0.00002923771,0.0006761234,0.00012146439,0.000016406877,0.0004356055,0.00027771704,0.73099554,0.019203605,0.22041388,0.0018034712,0.026006548],"study_design_scores_gemma":[0.000016629752,0.000037621718,0.0004201958,0.000028831904,0.000009006293,0.00010389691,0.00005625016,0.96259826,0.0025021767,0.02139286,0.012812847,0.000021462372],"about_ca_topic_score_codex":0.005330134,"about_ca_topic_score_gemma":0.0047297026,"teacher_disagreement_score":0.005330134,"about_ca_system_score_codex":0.0005217196,"about_ca_system_score_gemma":0.001063299,"threshold_uncertainty_score":0.015022695},"labels":[],"label_agreement":null},{"id":"W2997691128","doi":"10.2514/6.2020-2032","title":"Adaptive Construction of Model-Consistent Wall Functions for Two-Equation Turbulence Models with Applications","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 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":"Polytechnique Montréal","funders":"","keywords":"Couette flow; Turbulence; Flow (mathematics); Boundary (topology); Plane (geometry); K-epsilon turbulence model; Applied mathematics; Mathematics; Algebraic number; Boundary value problem; Mathematical optimization; Computer science; Mathematical analysis; Mechanics; Physics; Geometry","score_opus":0.018924684545285855,"score_gpt":0.20799934843416673,"score_spread":0.1890746638888809,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2997691128","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021395681,0.000028249677,0.9773072,0.00003578174,0.000009624429,0.000025221309,0.000017497536,0.00022095503,0.00095981004],"genre_scores_gemma":[0.3123641,0.00009520492,0.6850361,0.00005102732,0.000013756926,0.00026096415,0.00016250352,0.0002690685,0.0017472157],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99987197,0.000051444742,0.000006572153,0.000010869431,0.00004345269,0.000015593947],"domain_scores_gemma":[0.9997125,0.00013853077,0.000027819047,0.000051572846,0.000052934607,0.000016650783],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006096869,0.0005835876,0.00051310135,0.00047900056,0.00039954964,0.0004512973,0.00088625913,0.00068715826,0.001060699],"category_scores_gemma":[0.0016171795,0.0003802322,0.00051700085,0.00023122541,0.00036784477,0.0006118285,0.0007757354,0.00075317046,0.0004375033],"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":[0.0000380208,0.000064387306,0.0007934834,0.000044994358,0.000012763851,0.00009219767,0.00007354215,0.9239379,0.0075412444,0.028013533,0.00055031775,0.038837507],"study_design_scores_gemma":[0.0000021350693,0.000005992097,0.000019465471,0.0000017108954,5.639836e-7,0.000004771802,0.0000029278692,0.9977664,0.00065051607,0.0012405813,0.00030295458,0.0000019245158],"about_ca_topic_score_codex":0.0012432259,"about_ca_topic_score_gemma":0.0011758007,"teacher_disagreement_score":0.0012432259,"about_ca_system_score_codex":0.00030869074,"about_ca_system_score_gemma":0.0006658346,"threshold_uncertainty_score":0.0035483837},"labels":[],"label_agreement":null},{"id":"W2997715339","doi":"10.2514/6.2020-1599","title":"Immersion and Invariance Adaptive Control for Proximity Operations under Uncertainties and Modeling Errors","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Spacecraft Dynamics and Control","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":"Carleton University","funders":"","keywords":"Control theory (sociology); Integrator; Double integrator; Estimator; Controller (irrigation); Nonlinear system; Adaptive control; Spacecraft; Scaling; Computer science; Mathematics; Physics; Control (management)","score_opus":0.016009701037980804,"score_gpt":0.21468496660333758,"score_spread":0.19867526556535678,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2997715339","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.024349824,0.00007614028,0.973009,0.000046847457,0.000033258686,0.000015792759,0.0000051056795,0.00019330817,0.0022707812],"genre_scores_gemma":[0.969165,0.00007242066,0.02843845,0.00003380913,0.000028977036,0.000039237948,0.000016686354,0.00001898462,0.002186485],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997949,0.000031367363,0.000009450815,0.000052360494,0.000081980106,0.00002995722],"domain_scores_gemma":[0.9997172,0.00010421737,0.000087781584,0.000024245466,0.000050406077,0.000016056483],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033075572,0.0005007753,0.00030499368,0.00018333127,0.00022786464,0.0004046527,0.00049211946,0.00025063823,0.0009738675],"category_scores_gemma":[0.00096378423,0.00014541583,0.00027275181,0.00015755686,0.00046469763,0.0004280042,0.00091618404,0.0005984152,0.00014954964],"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":[0.00029996052,0.00010814161,0.001256019,0.00020133347,0.00006571079,0.00016825924,0.00051255646,0.6185935,0.067023404,0.021905812,0.0014325855,0.28843272],"study_design_scores_gemma":[0.000011994665,0.00029631375,0.0003456042,0.000006515518,0.000008304422,0.000038782524,0.000025734598,0.9895744,0.006489059,0.0018455469,0.0013480906,0.000009786186],"about_ca_topic_score_codex":0.0015993933,"about_ca_topic_score_gemma":0.0012930508,"teacher_disagreement_score":0.0015993933,"about_ca_system_score_codex":0.00023752339,"about_ca_system_score_gemma":0.00031306528,"threshold_uncertainty_score":0.0032579303},"labels":[],"label_agreement":null},{"id":"W2997742804","doi":"10.2514/6.2020-1604","title":"Attitude tracking of multiple spacecraft on SO(3) with attitude constraints","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Spacecraft; Control theory (sociology); Tracking (education); Attitude control; Trajectory; Computer science; Observer (physics); Control engineering; Controller (irrigation); Rotation matrix; Control (management); Engineering; Artificial intelligence; Aerospace engineering; Physics; Psychology","score_opus":0.01666432447691954,"score_gpt":0.2192082522968671,"score_spread":0.20254392781994757,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2997742804","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.28134966,0.00041821614,0.7094453,0.00018511669,0.00009402638,0.000036379646,0.000095978394,0.00023641654,0.008138896],"genre_scores_gemma":[0.9794763,0.00021170749,0.017814253,0.0000486419,0.000023990759,0.000044186185,0.00009521796,0.000013847957,0.0022718585],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998654,0.000027831955,0.000005792206,0.00003196334,0.00004562571,0.0000232452],"domain_scores_gemma":[0.999856,0.000036859965,0.000044108532,0.000018700466,0.000030927335,0.000013443493],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015968214,0.0004011742,0.00045144313,0.00017449225,0.00032899363,0.0003623924,0.0002955384,0.00036470985,0.00095279346],"category_scores_gemma":[0.0003265575,0.00011722657,0.00052666425,0.0003727896,0.0002968229,0.00037442334,0.0005805466,0.00036146646,0.00013791214],"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":[0.00015187568,0.000030871044,0.0021394154,0.00014979953,0.00007782162,0.0003483199,0.00016103468,0.9042012,0.03041419,0.022380946,0.00083621655,0.03910837],"study_design_scores_gemma":[0.00001962378,0.000100131256,0.00077298103,0.0000051581483,0.000013891252,0.000045421173,0.000034183904,0.9904157,0.0017845416,0.005738572,0.0010575665,0.000012325255],"about_ca_topic_score_codex":0.0049503106,"about_ca_topic_score_gemma":0.003747556,"teacher_disagreement_score":0.0049503106,"about_ca_system_score_codex":0.00016680651,"about_ca_system_score_gemma":0.00040212722,"threshold_uncertainty_score":0.009842992},"labels":[],"label_agreement":null},{"id":"W2997750286","doi":"10.2514/6.2020-1935","title":"Swirling Flow Patterns through Refrigerator Vortex Tubes","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Ranque-Hilsch vortex tube","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Vortex tube; Vortex; Vortex generator; Refrigerator car; Mechanics; Tube (container); Axial compressor; Mechanical engineering; Turbulence; Heat transfer; Heat exchanger; Flow (mathematics); Nozzle; Vortex ring; Materials science; Physics; Engineering; Gas compressor","score_opus":0.010221370269935918,"score_gpt":0.20431567847473694,"score_spread":0.19409430820480103,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2997750286","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9955413,0.00032143047,0.0027510547,0.00003278966,0.0000133442345,0.000029654308,0.00005460122,0.000100863545,0.0011551398],"genre_scores_gemma":[0.9971746,0.00010757294,0.0017342197,0.000010903468,0.0000050168887,0.000014048894,0.000046607453,0.00001416578,0.00089288416],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99990046,0.000016625414,0.0000055187807,0.000019756239,0.000031722127,0.000025981173],"domain_scores_gemma":[0.999721,0.0000610905,0.000084425,0.000012573021,0.00008530002,0.000035602316],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014396511,0.00019261941,0.00015637312,0.000673975,0.00028510066,0.00052540976,0.00018813042,0.00026585461,0.00088365865],"category_scores_gemma":[0.00026643876,0.00015864815,0.00016881058,0.00030372475,0.00035013552,0.0003638078,0.00017689975,0.00021173147,0.00015498238],"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":[0.0008059579,0.000084647305,0.008645334,0.000117363896,0.000015630949,0.000967184,0.00075313915,0.002312772,0.96621066,0.0011905311,0.00043603318,0.018460747],"study_design_scores_gemma":[0.000055178385,0.0010894113,0.030532163,0.000054086064,0.000026995605,0.00047294592,0.00068283617,0.02845112,0.9340335,0.00051976147,0.0040250337,0.000056993384],"about_ca_topic_score_codex":0.0005249085,"about_ca_topic_score_gemma":0.00040600455,"teacher_disagreement_score":0.00088365865,"about_ca_system_score_codex":0.0002716794,"about_ca_system_score_gemma":0.00012669088,"threshold_uncertainty_score":0.002956152},"labels":[],"label_agreement":null},{"id":"W2997809692","doi":"10.2514/6.2020-2074","title":"Trajectory Tracking Control of Highly Maneuverable Fixed-Wing Unmanned Aerial Vehicles","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Adaptive Control of Nonlinear Systems","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":"McGill University","funders":"","keywords":"Control theory (sociology); Controller (irrigation); Trajectory; Control engineering; Thrust; Attitude control; Computer science; Engineering; Aerospace engineering; Control (management); Artificial intelligence","score_opus":0.01263034928148852,"score_gpt":0.20438311758634997,"score_spread":0.19175276830486146,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2997809692","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19342774,0.00025804434,0.79988456,0.00007995633,0.000045052708,0.00004068089,0.000037568963,0.0004517057,0.005774699],"genre_scores_gemma":[0.98823124,0.000081542006,0.010385142,0.000008302947,0.000007369099,0.00002320324,0.000023239649,0.0000058780106,0.001233949],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999136,0.000014113947,0.000003520363,0.000019150608,0.000039168597,0.000010387894],"domain_scores_gemma":[0.9999074,0.000023107721,0.000027956452,0.0000096213835,0.000025383006,0.0000064657656],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014460596,0.00027371699,0.00010366701,0.00013967496,0.0002051688,0.00031020536,0.0002631515,0.00017182334,0.0005883376],"category_scores_gemma":[0.0003064969,0.00008846786,0.00009752894,0.000118257696,0.00020876402,0.00016309074,0.00022795852,0.00024400213,0.00010190855],"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":[0.00008300992,0.000026705351,0.00081937935,0.00007672639,0.000018402081,0.00019609762,0.000168366,0.8406312,0.06665303,0.007934411,0.0005068586,0.08288593],"study_design_scores_gemma":[0.0000067645,0.00008979245,0.00049623044,0.0000040233585,0.0000028042043,0.000018570587,0.0000109266975,0.9931891,0.0046272753,0.00082479045,0.00072646793,0.0000031519169],"about_ca_topic_score_codex":0.0037502898,"about_ca_topic_score_gemma":0.0025730857,"teacher_disagreement_score":0.0037502898,"about_ca_system_score_codex":0.00023078953,"about_ca_system_score_gemma":0.00021804903,"threshold_uncertainty_score":0.0074569583},"labels":[],"label_agreement":null},{"id":"W2997829244","doi":"10.2514/6.2020-1452","title":"Open Mission Systems Design Considerations for Optimal Fusion Performance","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Target Tracking and Data Fusion in Sensor Networks","field":"Computer Science","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":"Lockheed Martin (Canada)","funders":"","keywords":"Computer science; Flexibility (engineering); Risk analysis (engineering); Architecture; Systems engineering; Key (lock); Open architecture; Sensor fusion; Interface (matter); Reliability engineering; Distributed computing; Embedded system; Engineering; Computer security; Operating system; Artificial intelligence","score_opus":0.07715716131059992,"score_gpt":0.2805293339557679,"score_spread":0.203372172645168,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2997829244","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.041308656,0.0010731956,0.9090352,0.003771802,0.00029776222,0.00016313704,0.00008743813,0.0006976051,0.043565087],"genre_scores_gemma":[0.7951804,0.0009844908,0.19216268,0.0007908174,0.00036841523,0.0003292754,0.00014741789,0.0003161948,0.009720219],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9966426,0.00077695865,0.0001675556,0.00028498092,0.0018144418,0.00031350774],"domain_scores_gemma":[0.9943264,0.002026175,0.0005541185,0.00051370845,0.0023814335,0.0001980753],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0042914646,0.0007778121,0.0005319232,0.0006545257,0.001611794,0.0030136139,0.001080815,0.0016532305,0.0046588276],"category_scores_gemma":[0.010908711,0.000530549,0.00036881617,0.0003812152,0.0014523503,0.0056766947,0.002692965,0.0020815697,0.0015069334],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004958924,0.00020720513,0.0032554267,0.0005609797,0.000094924246,0.00033771014,0.0014454583,0.28368744,0.1154377,0.4265124,0.008546964,0.15941802],"study_design_scores_gemma":[0.00016275697,0.00092339487,0.0021621056,0.00022806223,0.00013811358,0.0006820095,0.0010880977,0.44648868,0.07084723,0.37211257,0.10501481,0.00015224954],"about_ca_topic_score_codex":0.0011355078,"about_ca_topic_score_gemma":0.0017772872,"teacher_disagreement_score":0.0046588276,"about_ca_system_score_codex":0.0014859968,"about_ca_system_score_gemma":0.001861815,"threshold_uncertainty_score":0.02269566},"labels":[],"label_agreement":null},{"id":"W2997841567","doi":"10.2514/6.2020-0541","title":"Aerodynamic Shape Optimization for Unsteady Flows: Some Benchmark Problems","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Computational Fluid Dynamics and Aerodynamics","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Shape optimization; Airfoil; Drag; Mathematical optimization; Solver; Laminar flow; Reynolds number; Computer science; Mathematics; Sequential quadratic programming; NACA airfoil; Lift (data mining); Applied mathematics; Mechanics; Quadratic programming; Physics; Finite element method","score_opus":0.007420126772096044,"score_gpt":0.19499136698553304,"score_spread":0.187571240213437,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2997841567","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.64583814,0.001960639,0.33006793,0.0013586571,0.00016312573,0.00022189792,0.0009723877,0.0007728552,0.018644335],"genre_scores_gemma":[0.86674887,0.00057662005,0.12823528,0.00010549925,0.00005833494,0.00020132148,0.0008259763,0.00020781951,0.00304028],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99960154,0.00010314048,0.000020779538,0.000045763907,0.0001528879,0.000076013464],"domain_scores_gemma":[0.99859756,0.0008854658,0.00010249463,0.00013725988,0.00020790099,0.00006934929],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010609754,0.0009485992,0.0008399284,0.0006881128,0.00074097223,0.0010615244,0.0007073518,0.0014921281,0.001161062],"category_scores_gemma":[0.0029251473,0.00031180886,0.00088924967,0.00073054445,0.0007931893,0.00058394263,0.00081845943,0.0009054625,0.00019357016],"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":[0.0000622023,0.00015641132,0.0011569683,0.000096848846,0.00002172715,0.00008398437,0.000032165877,0.9793874,0.002478937,0.0039191074,0.00088283914,0.011721345],"study_design_scores_gemma":[0.000017619082,0.00006412024,0.00047728367,0.0000076279675,0.000003434177,0.000028607621,0.000021526006,0.99516183,0.002201368,0.0015000519,0.00050838914,0.00000812839],"about_ca_topic_score_codex":0.0040592663,"about_ca_topic_score_gemma":0.0034076206,"teacher_disagreement_score":0.0040592663,"about_ca_system_score_codex":0.0006742538,"about_ca_system_score_gemma":0.0008293019,"threshold_uncertainty_score":0.008071244},"labels":[],"label_agreement":null},{"id":"W2997898780","doi":"10.2514/6.2020-1585","title":"Assessment of Numerical Dissipation Techniques for Mesh Adaptation in Large Eddy Simulation","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Fluid Dynamics and Turbulent Flows","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":"McGill University","funders":"","keywords":"Dissipation; Adaptation (eye); Computer science; Large eddy simulation; Eddy current; Computational science; Mechanics; Physics; Engineering; Electrical engineering; Turbulence; Optics","score_opus":0.011667437339704396,"score_gpt":0.27109138495041174,"score_spread":0.25942394761070736,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2997898780","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.459283,0.0013773658,0.53619957,0.00020098765,0.000091253925,0.00022648093,0.00006997562,0.0003948792,0.0021564218],"genre_scores_gemma":[0.9080649,0.00026299438,0.09107922,0.000023210292,0.000020232968,0.000090044574,0.000052421103,0.000069402326,0.0003375265],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99823254,0.0009815914,0.0001323109,0.00008323792,0.00049461884,0.000075612625],"domain_scores_gemma":[0.99162674,0.0055033183,0.0007165188,0.0010471492,0.0009877903,0.000118557946],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005226667,0.0005864506,0.000386281,0.00093785056,0.0002552818,0.0006656557,0.00054000976,0.00070373865,0.00032607623],"category_scores_gemma":[0.018929213,0.00016467746,0.00041165005,0.00055959466,0.00051673385,0.00074540894,0.0008247265,0.0004495594,0.00007531045],"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":[0.0010205609,0.0005185065,0.020778263,0.0004304385,0.0001850998,0.00016656225,0.00032813606,0.7023695,0.043277163,0.007618635,0.0004696028,0.22283745],"study_design_scores_gemma":[0.000026661502,0.00041865345,0.006583373,0.000039435552,0.000032756197,0.00005878649,0.00003438292,0.97223425,0.019171638,0.0007854488,0.00058197515,0.000032787142],"about_ca_topic_score_codex":0.0005892599,"about_ca_topic_score_gemma":0.0004230409,"teacher_disagreement_score":0.005226667,"about_ca_system_score_codex":0.0003647326,"about_ca_system_score_gemma":0.0003020476,"threshold_uncertainty_score":0.027641594},"labels":[],"label_agreement":null},{"id":"W2997993393","doi":"10.2514/6.2020-1235","title":"Aircraft Speed/Altitude Control Using a Sigma-Pi Neural Network","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Aerospace and Aviation Technology","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":"Lockheed Martin (Canada)","funders":"","keywords":"Control theory (sociology); Artificial neural network; Aerodynamics; Computer science; Nonlinear system; Feedback linearization; Robust control; Controller (irrigation); Control engineering; Linearization; Flight simulator; Noise (video); Estimator; Control system; Engineering; Simulation; Control (management); Artificial intelligence; Mathematics","score_opus":0.010408490894444736,"score_gpt":0.21259305975874654,"score_spread":0.2021845688643018,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2997993393","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.104541704,0.0006069157,0.8848356,0.00028654237,0.00015733407,0.00008518277,0.000052239357,0.0009940519,0.008440426],"genre_scores_gemma":[0.96249324,0.00016163643,0.03451306,0.0000650397,0.000018112014,0.000059353482,0.000039522904,0.000008691772,0.002641253],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998938,0.000018005028,0.000007778475,0.000032257616,0.000035376204,0.000012851462],"domain_scores_gemma":[0.9998524,0.00004343299,0.00002063174,0.000012712446,0.00006351079,0.0000072830785],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025277215,0.00034056944,0.0002511159,0.00013798896,0.0002916249,0.0004387849,0.0004751427,0.00046263353,0.0009623354],"category_scores_gemma":[0.00047860167,0.00020657014,0.0002617697,0.00019671199,0.00023194635,0.00036912115,0.00028159586,0.00054263294,0.00021135893],"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":[0.00014677364,0.0001171021,0.0016293571,0.00008588611,0.00007128891,0.00010278887,0.00006171024,0.8524392,0.02064939,0.0023374055,0.00071526406,0.12164374],"study_design_scores_gemma":[0.000004581316,0.000051098894,0.00020025362,0.0000046101636,0.0000069487364,0.000008335986,0.000002499344,0.9980027,0.0012511616,0.00023805392,0.00022675765,0.0000029219595],"about_ca_topic_score_codex":0.0069685886,"about_ca_topic_score_gemma":0.0065835724,"teacher_disagreement_score":0.0069685886,"about_ca_system_score_codex":0.00033575704,"about_ca_system_score_gemma":0.00043853358,"threshold_uncertainty_score":0.013856053},"labels":[],"label_agreement":null},{"id":"W2998000431","doi":"10.2514/6.2020-1460","title":"Spacecraft Formation Guidance Law using a State Transition Matrix With Gravitational, Drag and Third-Body Perturbations","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Spacecraft Dynamics and Control","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Spacecraft; State-transition matrix; Gravitational field; Orbital elements; Orbital mechanics; Reference frame; Jacobian matrix and determinant; Physics; Control theory (sociology); Drag; Aerospace engineering; Classical mechanics; Computer science; Mechanics; Mathematics; Satellite; Frame (networking); Applied mathematics; Engineering; Artificial intelligence; Control (management)","score_opus":0.005485507299133938,"score_gpt":0.20531213970358655,"score_spread":0.19982663240445261,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2998000431","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010137302,0.00003610623,0.98484194,0.00013757788,0.000043913777,0.000056642955,0.000035144225,0.00032589925,0.0043854816],"genre_scores_gemma":[0.8047199,0.00015592492,0.18110083,0.00009110542,0.00004327208,0.00018712401,0.00008955202,0.00005233765,0.013560029],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998062,0.000028668204,0.0000062168083,0.000030136482,0.0001148486,0.0000138776295],"domain_scores_gemma":[0.9998418,0.00004658021,0.000026509264,0.000014279402,0.000063020685,0.000007752995],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032303864,0.00036708493,0.0002534713,0.00020119055,0.00034356405,0.00059471594,0.00040820593,0.00033834326,0.0019372661],"category_scores_gemma":[0.0006101717,0.00012128301,0.00027823754,0.0001864196,0.0004257476,0.00040769903,0.00037661023,0.0008416814,0.00032510093],"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":[0.000039997856,0.000043962245,0.00027696078,0.000032050415,0.000015706946,0.00006060839,0.00009010235,0.9128105,0.0077318535,0.03591531,0.0012348822,0.041748058],"study_design_scores_gemma":[0.000008071479,0.000032275108,0.000051650644,0.000002519969,0.0000026067592,0.000012785894,0.0000040758046,0.9968636,0.00075300137,0.0012793872,0.0009875477,0.0000024823205],"about_ca_topic_score_codex":0.011262345,"about_ca_topic_score_gemma":0.010878608,"teacher_disagreement_score":0.011262345,"about_ca_system_score_codex":0.00060325355,"about_ca_system_score_gemma":0.0015767284,"threshold_uncertainty_score":0.022393584},"labels":[],"label_agreement":null},{"id":"W2998005100","doi":"10.2514/6.2020-1681","title":"The Use of an Inerter in an Aircraft Landing Gear Suspension for Improved Passenger and Crew Comfort at Touchdown","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Vibration Control and Rheological Fluids","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Landing gear; Airframe; Touchdown; Shock absorber; Cushioning; Damper; Engineering; Crew; Acceleration; Automotive engineering; Suspension (topology); Structural engineering; Aerospace engineering; Aeronautics","score_opus":0.026295683971704297,"score_gpt":0.2280136552021005,"score_spread":0.20171797123039623,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2998005100","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98505056,0.00013642514,0.013383691,0.000028755752,0.000017788212,0.000016613469,0.00002733021,0.00009706002,0.0012417753],"genre_scores_gemma":[0.994494,0.00006420273,0.0044034086,0.000009203912,0.0000040550644,0.000005494896,0.000029978873,0.000007974686,0.0009816734],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99987745,0.000015196682,0.0000110902365,0.0000348404,0.000042873802,0.000018467175],"domain_scores_gemma":[0.99985754,0.000044297623,0.00003965016,0.00001924914,0.000023453842,0.000015661848],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016233996,0.0003371824,0.00022032237,0.00025150023,0.00018055663,0.0003175121,0.0004798492,0.00027664858,0.0016242547],"category_scores_gemma":[0.00032576642,0.00011992531,0.00020640437,0.000101743,0.00016657509,0.00041533323,0.00023475007,0.00019591702,0.0002494905],"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":[0.0003708501,0.00014642591,0.0012596686,0.00012501917,0.000010844148,0.00014342325,0.000052717296,0.00344434,0.9745962,0.00025165614,0.00005545925,0.019543424],"study_design_scores_gemma":[0.0001045852,0.0060049784,0.01908339,0.00003137888,0.00015641784,0.0006169419,0.0001529303,0.045545027,0.9237698,0.00017659066,0.004324255,0.000033750006],"about_ca_topic_score_codex":0.00033754873,"about_ca_topic_score_gemma":0.0012681535,"teacher_disagreement_score":0.0016242547,"about_ca_system_score_codex":0.00010288881,"about_ca_system_score_gemma":0.00011988426,"threshold_uncertainty_score":0.0054336786},"labels":[],"label_agreement":null},{"id":"W2998029021","doi":"10.2514/6.2020-0327","title":"Design and Development of a Computational Fluid Dynamics Software in the Context of a Capstone Project","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 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":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Capstone; Computer science; Software engineering; Context (archaeology); Solver; Software; Gambit; Computational fluid dynamics; Computational science; Programming language; Simulation; Fluent; Engineering; Algorithm","score_opus":0.014235375323550263,"score_gpt":0.22114190626766725,"score_spread":0.20690653094411698,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2998029021","genre_codex":"methods","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.063193426,0.00020773483,0.9045981,0.0007923557,0.00039690756,0.0024205907,0.0004102236,0.013251472,0.014729133],"genre_scores_gemma":[0.1172057,0.00026899693,0.8675925,0.00020264929,0.000050178693,0.0019147699,0.001498259,0.0020874985,0.00917942],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99734735,0.0006122738,0.00016995583,0.00044474422,0.0010792891,0.0003464435],"domain_scores_gemma":[0.9955148,0.00058616675,0.00019117407,0.00061289367,0.0021913534,0.0009036317],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006281711,0.0010431246,0.0005022474,0.0012316422,0.0010826286,0.0025235587,0.0025088417,0.0010874532,0.005623179],"category_scores_gemma":[0.006232732,0.00070494425,0.00075812585,0.00062470214,0.0011071,0.0012096184,0.0019441656,0.0019138906,0.0029372035],"study_design_candidate":"not_applicable","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":[0.0009932156,0.0012839375,0.015507337,0.0011287003,0.00020848881,0.0019509261,0.0044076536,0.16207336,0.10918177,0.066969834,0.044090964,0.59220386],"study_design_scores_gemma":[0.000590907,0.0021280842,0.0076740854,0.00054308696,0.00013637172,0.0009722835,0.001529807,0.43021256,0.18416849,0.012818076,0.3589564,0.0002698401],"about_ca_topic_score_codex":0.002269445,"about_ca_topic_score_gemma":0.0016235149,"teacher_disagreement_score":0.006281711,"about_ca_system_score_codex":0.0011852601,"about_ca_system_score_gemma":0.005540278,"threshold_uncertainty_score":0.033221304},"labels":[],"label_agreement":null},{"id":"W2998053728","doi":"10.2514/6.2020-0311","title":"Design and Testing of 3-D Riblets","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Mechanical Engineering and Vibrations Research","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Computer science","score_opus":0.038864409517183354,"score_gpt":0.23825345481631677,"score_spread":0.19938904529913343,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2998053728","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.77713233,0.00028882377,0.20603825,0.0002084626,0.0003342777,0.0009193132,0.0013964514,0.0025153558,0.011166754],"genre_scores_gemma":[0.8557802,0.0001668281,0.13822158,0.00012938972,0.000020717718,0.00051315717,0.00070965267,0.00019285447,0.004265614],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998982,0.00013971204,0.00006796281,0.00016836988,0.00050314015,0.00013876395],"domain_scores_gemma":[0.99803203,0.00038319852,0.00026127583,0.00061665924,0.0005058503,0.00020100747],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010175753,0.00053459837,0.00036635323,0.0004246878,0.00027957212,0.0005909658,0.0012293988,0.0011136974,0.0028392463],"category_scores_gemma":[0.0022207142,0.0004379153,0.00053790974,0.00025649555,0.00045596066,0.00047864413,0.0007058817,0.00053827494,0.0010356125],"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":[0.00082262635,0.0007376181,0.009105232,0.0007379477,0.00007744168,0.0015701836,0.00045904034,0.25905922,0.64894676,0.004770748,0.0029100487,0.070803024],"study_design_scores_gemma":[0.00022977668,0.007142603,0.018113546,0.00010623666,0.000067536115,0.0008005051,0.00023863323,0.35395885,0.5906503,0.001294578,0.027215213,0.00018231344],"about_ca_topic_score_codex":0.00037112567,"about_ca_topic_score_gemma":0.0004497373,"teacher_disagreement_score":0.0028392463,"about_ca_system_score_codex":0.0002646367,"about_ca_system_score_gemma":0.00041801092,"threshold_uncertainty_score":0.009498179},"labels":[],"label_agreement":null},{"id":"W2998094944","doi":"10.2514/6.2020-0893","title":"Assembly Level Topology Optimization Towards a Part Consolidation Algorithm for Additive Manufacturing","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Manufacturing Process and Optimization","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":false,"ca_institutions":"Queen's University","funders":"","keywords":"Topology optimization; Aerospace; Consolidation (business); Computer science; Heuristic; Mathematical optimization; Design space exploration; Domain (mathematical analysis); Topology (electrical circuits); Manufacturing engineering; Engineering; Mathematics; Finite element method; Structural engineering","score_opus":0.02186279439750394,"score_gpt":0.23827578312222814,"score_spread":0.2164129887247242,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2998094944","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0162448,0.000100566,0.98076344,0.00005387348,0.000016845386,0.000036619516,0.000024095752,0.00034668169,0.0024131066],"genre_scores_gemma":[0.30208346,0.00017758725,0.6939756,0.00007226967,0.000028441882,0.0001954436,0.0002030113,0.00024457715,0.0030195934],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997961,0.000062815656,0.000008778068,0.000030450845,0.00007852518,0.000023327953],"domain_scores_gemma":[0.999658,0.00015191907,0.000036526522,0.000047904858,0.000085910426,0.000019636505],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047103898,0.0006285794,0.0005779364,0.0006932268,0.00032445998,0.0008529701,0.00094880385,0.000859955,0.0030962317],"category_scores_gemma":[0.001155072,0.00047599402,0.00060791656,0.0006974898,0.0005155622,0.00077983894,0.0008454021,0.0009455591,0.00081631984],"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":[0.000032020296,0.000026898348,0.00021731977,0.00002543694,0.000013589521,0.000026159065,0.000024775241,0.9531676,0.003762561,0.0058600036,0.0005125199,0.036331207],"study_design_scores_gemma":[0.0000045598067,0.000018720862,0.000036196285,0.0000030276703,0.0000027296123,0.000007973107,0.0000042228708,0.9973399,0.00058810227,0.0014800521,0.00051291694,0.0000015589244],"about_ca_topic_score_codex":0.0012419724,"about_ca_topic_score_gemma":0.0015083402,"teacher_disagreement_score":0.0030962317,"about_ca_system_score_codex":0.00047857343,"about_ca_system_score_gemma":0.00070374535,"threshold_uncertainty_score":0.010357916},"labels":[],"label_agreement":null},{"id":"W2998112846","doi":"10.2514/6.2020-1799","title":"Development of an Anti-Icing Computational Fluid Dynamics Code","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Icing and De-icing Technologies","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":"Carleton University","funders":"","keywords":"Icing; Computational fluid dynamics; Aerospace engineering; MATLAB; Accretion (finance); Stall (fluid mechanics); Source code; Icing conditions; Computer science; Software; Environmental science; Mechanics; Marine engineering; Engineering; Meteorology; Physics; Operating system; Astrophysics","score_opus":0.012367211714405302,"score_gpt":0.22133428030098515,"score_spread":0.20896706858657985,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2998112846","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.069684915,0.0002681665,0.86429566,0.0010548511,0.0006445136,0.00074253767,0.0027173166,0.019076075,0.04151588],"genre_scores_gemma":[0.23758313,0.00032864965,0.7382362,0.00039831593,0.0000934069,0.001580096,0.0044988543,0.0021086852,0.015172709],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99967587,0.000038870374,0.00002440767,0.000041541025,0.00017728134,0.000041947245],"domain_scores_gemma":[0.9991239,0.00028242127,0.000043395044,0.000069798916,0.00039572394,0.000084891704],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005737722,0.0005075843,0.00051358674,0.000375014,0.00047806939,0.00079724484,0.001630122,0.0008943241,0.00722659],"category_scores_gemma":[0.0024077743,0.0003076533,0.0005742,0.0003097529,0.00044233253,0.0006667563,0.0011553311,0.0013560827,0.0019713007],"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":[0.00028807044,0.00022280472,0.004735384,0.00036334762,0.00009063631,0.00045178647,0.0002652516,0.7691707,0.027745217,0.035208806,0.024335768,0.13712217],"study_design_scores_gemma":[0.00006895115,0.000028773806,0.00032298127,0.000023630593,0.0000068290938,0.000042649615,0.0000149494645,0.9693378,0.0077534663,0.002060537,0.020322545,0.0000168158],"about_ca_topic_score_codex":0.0054217675,"about_ca_topic_score_gemma":0.0035985045,"teacher_disagreement_score":0.00722659,"about_ca_system_score_codex":0.00054313045,"about_ca_system_score_gemma":0.0022550367,"threshold_uncertainty_score":0.024175346},"labels":[],"label_agreement":null},{"id":"W2998188376","doi":"10.2514/6.2020-2044","title":"From Sparse Pressure Measurements to Prediction of Instantaneous Loads: A Test Case on Delta Wings in Axial and Transverse Gusts","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Aerodynamics and Acoustics in Jet Flows","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":"Queen's University","funders":"","keywords":"Aerodynamics; Delta wing; Transverse plane; Vortex; Mechanics; Surface pressure; Angle of attack; Swept wing; Towing; Flow (mathematics); Aerodynamic force; Pressure measurement; Amplitude; Linear regression; Geometry; Mathematics; Structural engineering; Physics; Engineering; Optics; Meteorology; Statistics","score_opus":0.016366545588858455,"score_gpt":0.2056929524910975,"score_spread":0.18932640690223906,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2998188376","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98463583,0.00002366445,0.0145859225,0.000030023504,0.0000052625874,0.000012439573,0.000101248195,0.0001443315,0.00046126262],"genre_scores_gemma":[0.9949597,0.000023997052,0.0047217933,0.000005118104,0.000003160172,0.000007458539,0.00009769033,0.000010072038,0.00017087157],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998171,0.000035836198,0.0000110303745,0.000048598722,0.00005944896,0.000027926695],"domain_scores_gemma":[0.99930465,0.00040173388,0.00008152531,0.000079414334,0.000098644974,0.00003401986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036955476,0.00057479576,0.00030542054,0.00041050444,0.00016103475,0.00045108914,0.00030548256,0.000451458,0.0004162744],"category_scores_gemma":[0.0014192605,0.00022544494,0.00022904851,0.00041605302,0.00032040762,0.00041033264,0.00047918208,0.00045462546,0.00015142927],"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":[0.00133508,0.00078266335,0.14171067,0.0002505508,0.00008295793,0.0012712529,0.0006630969,0.48975682,0.16199948,0.0005658273,0.0007707472,0.20081075],"study_design_scores_gemma":[0.000016149412,0.00019572246,0.0379202,0.000009661564,0.0000131096485,0.000074502335,0.00013356905,0.93860596,0.022684215,0.00016408322,0.00016513625,0.000017648432],"about_ca_topic_score_codex":0.0043391543,"about_ca_topic_score_gemma":0.004644715,"teacher_disagreement_score":0.0043391543,"about_ca_system_score_codex":0.00013852329,"about_ca_system_score_gemma":0.0003044037,"threshold_uncertainty_score":0.008627832},"labels":[],"label_agreement":null},{"id":"W2998242779","doi":"10.2514/6.2020-2263","title":"Topology Optimization of Heat Sinks for High Efficiency Electronics Employing Simplified Convection Model","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Topology Optimization in Engineering","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":false,"ca_institutions":"Carleton University","funders":"","keywords":"Heat sink; Forced convection; Thermal conduction; Heat transfer; Convection; Mechanical engineering; Topology optimization; Electronics; Electronic component; Natural convection; Heat transfer coefficient; Electronics cooling; Thermal resistance; Computer science; Topology (electrical circuits); Mechanics; Materials science; Engineering; Thermodynamics; Physics; Electrical engineering; Finite element method","score_opus":0.008879376161513694,"score_gpt":0.21661553111534032,"score_spread":0.20773615495382663,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2998242779","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2499411,0.00065095146,0.72667456,0.00020797813,0.00005526466,0.00017157156,0.00024708753,0.0005324468,0.021519132],"genre_scores_gemma":[0.9044237,0.00035795078,0.09013191,0.00002923007,0.000011728037,0.00026601506,0.00018597642,0.00010572895,0.00448768],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998783,0.00003323546,0.0000044212848,0.000015625234,0.000052376396,0.00001604641],"domain_scores_gemma":[0.9998317,0.00008190458,0.00002994367,0.000016961727,0.000031011845,0.000008537845],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003532648,0.0005783695,0.0005550687,0.00045461179,0.00019807047,0.00061410514,0.00045715205,0.00055058434,0.0018479016],"category_scores_gemma":[0.00064203807,0.00032725593,0.0006532597,0.00022726017,0.00038217605,0.00036502426,0.00033187828,0.00033090144,0.0002793872],"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":[0.000012547259,0.000010262497,0.00012993846,0.00004238417,0.000006132788,0.00002161644,0.000008513598,0.99092674,0.0048305285,0.0014914974,0.000088677625,0.0024311517],"study_design_scores_gemma":[0.000005441679,0.000026993028,0.000093594404,0.000002960763,0.0000043064347,0.00000819921,0.0000037963507,0.99773276,0.0012775167,0.00041978597,0.00042256023,0.0000021748529],"about_ca_topic_score_codex":0.0012072105,"about_ca_topic_score_gemma":0.0014126928,"teacher_disagreement_score":0.0018479016,"about_ca_system_score_codex":0.0005074798,"about_ca_system_score_gemma":0.0007121307,"threshold_uncertainty_score":0.006181836},"labels":[],"label_agreement":null},{"id":"W2998278947","doi":"10.2514/6.2020-1140","title":"Smooth Gradation of Anisotropic Mesh Based on Log-Euclidean Metrics","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Advanced Numerical Analysis Techniques","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 British Columbia","funders":"","keywords":"Metric (unit); Polygon mesh; Mathematics; Euclidean distance; Mesh generation; Sizing; Tensor (intrinsic definition); Mathematical optimization; Euclidean space; Gradation; Computer science; Algorithm; Topology (electrical circuits); Applied mathematics; Mathematical analysis; Finite element method; Geometry; Artificial intelligence; Combinatorics; Physics; Engineering","score_opus":0.011699809383869662,"score_gpt":0.23553217537421756,"score_spread":0.2238323659903479,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2998278947","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011147697,0.00005008452,0.98758626,0.000053388423,0.000024466159,0.000017215307,0.000013496118,0.00022181243,0.000885627],"genre_scores_gemma":[0.3015677,0.00021435281,0.69387007,0.000082383216,0.00003627042,0.00009974513,0.00014234625,0.00033090528,0.0036562162],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99972445,0.000054099834,0.000021426742,0.00005408869,0.0001246072,0.000021268921],"domain_scores_gemma":[0.99952745,0.00015719404,0.0000635097,0.00009087243,0.0001293456,0.000031615713],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006653963,0.0006587178,0.00060940225,0.0009015618,0.0003019647,0.0011061702,0.00077945297,0.00070994435,0.0012200215],"category_scores_gemma":[0.0022257536,0.00036681103,0.00060986995,0.0005771173,0.00071970106,0.0010057847,0.0010594098,0.00083158404,0.00040013532],"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":[0.00012613766,0.00004356109,0.0015802699,0.00013839488,0.00003591784,0.0001376189,0.00022276824,0.6712053,0.06020817,0.051495515,0.002716453,0.21208994],"study_design_scores_gemma":[0.0000033003894,0.000015818607,0.00010869454,0.0000029569323,0.0000029010957,0.000022638327,0.000007371546,0.99202067,0.0033502907,0.0033267178,0.0011311206,0.000007525329],"about_ca_topic_score_codex":0.0015871698,"about_ca_topic_score_gemma":0.0018060534,"teacher_disagreement_score":0.0015871698,"about_ca_system_score_codex":0.0006045915,"about_ca_system_score_gemma":0.00061878655,"threshold_uncertainty_score":0.004386604},"labels":[],"label_agreement":null},{"id":"W2998427191","doi":"10.2514/6.2020-0902","title":"Advancing Layer Surface Mesh Generation","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Computational Geometry and Mesh Generation","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Layer (electronics); Computer science; Mesh generation; Materials science; Composite material; Finite element method; Engineering; Structural engineering","score_opus":0.02086833946598773,"score_gpt":0.2520371260432375,"score_spread":0.2311687865772498,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2998427191","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0061481786,0.000075404234,0.9849605,0.00008030767,0.00014856154,0.000088757544,0.00012486143,0.0012933329,0.0070801387],"genre_scores_gemma":[0.12775214,0.00022705994,0.86408323,0.00009074619,0.00005252968,0.00023841586,0.0005412448,0.0005495532,0.0064651784],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994722,0.000053468502,0.000020361547,0.00005131121,0.00036117394,0.00004154449],"domain_scores_gemma":[0.99935967,0.00017013724,0.000032753782,0.00020415337,0.00018970297,0.00004362873],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004905821,0.000537809,0.0005676803,0.00072965387,0.00051057315,0.0012306249,0.0013033033,0.001066319,0.005797346],"category_scores_gemma":[0.0018002182,0.00039625284,0.0006860498,0.0004913084,0.00048942794,0.0010342386,0.0016215421,0.0012458283,0.0020868378],"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":[0.00016300997,0.000098429126,0.0014349673,0.00037066662,0.00006502648,0.00065419683,0.0005804346,0.3478132,0.16975084,0.15735923,0.019204156,0.30250585],"study_design_scores_gemma":[0.00002251031,0.000038356895,0.00013096163,0.000016345251,0.0000081590715,0.00012960659,0.000023280878,0.9327899,0.029760748,0.011155767,0.02590609,0.00001821359],"about_ca_topic_score_codex":0.000790523,"about_ca_topic_score_gemma":0.00073133956,"teacher_disagreement_score":0.005797346,"about_ca_system_score_codex":0.00037873286,"about_ca_system_score_gemma":0.00070668064,"threshold_uncertainty_score":0.0193941},"labels":[],"label_agreement":null},{"id":"W2998448104","doi":"10.2514/6.2020-0603","title":"Nonlinear Controller Design for Non-minimum Phase Flight System Enhanced by Adaptive Elevator Algorithm","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Elevator Systems and Control","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":false,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Elevator; Control theory (sociology); Nonlinear system; Minimum phase; Computer science; Acceleration; Inversion (geology); Algorithm; Flight dynamics; Phase (matter); Aerodynamics; Engineering; Artificial intelligence; Aerospace engineering; Control (management); Physics","score_opus":0.009108288191675886,"score_gpt":0.21748498329598911,"score_spread":0.20837669510431323,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2998448104","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.026791565,0.00032038192,0.966513,0.00012522668,0.00009602735,0.000066831904,0.000022598368,0.00035267192,0.005711665],"genre_scores_gemma":[0.94261587,0.00025932502,0.052701145,0.00007544716,0.000047478854,0.00018003583,0.000060260812,0.000024284194,0.004036085],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99978477,0.000035862522,0.000017070532,0.00005168426,0.00008501683,0.000025721736],"domain_scores_gemma":[0.9997404,0.000058906426,0.000042928514,0.000015418065,0.0001323784,0.000009906371],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038489007,0.0004327645,0.00044679252,0.00022731195,0.00036723178,0.0006401864,0.0006726018,0.0004754179,0.0020356344],"category_scores_gemma":[0.0006766878,0.00020456835,0.00027881857,0.00017478532,0.0002953491,0.00035886918,0.00047062966,0.0006258923,0.00035114572],"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":[0.00024247673,0.000069169815,0.001033354,0.00028313088,0.00007434112,0.00022758129,0.00021743185,0.80965424,0.0349611,0.009002224,0.0015828903,0.14265206],"study_design_scores_gemma":[0.000014463729,0.00007122435,0.00015214087,0.000007269755,0.0000071550826,0.000020580545,0.000006133072,0.99710995,0.0016389366,0.00028232386,0.0006859374,0.00000389653],"about_ca_topic_score_codex":0.0041722725,"about_ca_topic_score_gemma":0.0029573727,"teacher_disagreement_score":0.0041722725,"about_ca_system_score_codex":0.00028194775,"about_ca_system_score_gemma":0.0005951994,"threshold_uncertainty_score":0.008295953},"labels":[],"label_agreement":null},{"id":"W2998520424","doi":"10.2514/6.2020-1205","title":"A CubeSat-based Robotic Asteroid Sampling Mission","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Astro and Planetary Science","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":"CubeSat; Touchdown; Spacecraft; Sampling (signal processing); Aerospace engineering; Computer science; Asteroid; Simulation; Engineering; Astrobiology; Physics; Computer vision; Satellite","score_opus":0.02350532435062984,"score_gpt":0.24339194915051554,"score_spread":0.2198866247998857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2998520424","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3750708,0.000330003,0.590366,0.00045800346,0.00018672486,0.00039332683,0.0003507648,0.002201614,0.030642753],"genre_scores_gemma":[0.85906726,0.00017307585,0.1338601,0.00014089284,0.00003011554,0.00018110538,0.00046727003,0.00005990612,0.0060202973],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99992025,0.000010653421,0.0000023724997,0.0000170167,0.000037402788,0.00001226951],"domain_scores_gemma":[0.99994946,0.000006883547,0.000009109205,0.000009816007,0.000013443031,0.000011295611],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009387668,0.00040245702,0.00018116883,0.0001293472,0.00030490095,0.00024066947,0.00040959753,0.00019830612,0.0010193542],"category_scores_gemma":[0.00012496935,0.00008728249,0.00023025807,0.00010876698,0.00022280033,0.0002570753,0.00045325398,0.00030637623,0.00025379003],"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":[0.0005859916,0.00020944829,0.00648441,0.0002460206,0.00014373634,0.0010804216,0.00042077177,0.45066547,0.2906661,0.011213037,0.006703937,0.23158057],"study_design_scores_gemma":[0.000059375383,0.00067944557,0.0033936189,0.000013529827,0.000032544205,0.0003132874,0.00013117166,0.93999684,0.034393147,0.001885215,0.01907629,0.00002553898],"about_ca_topic_score_codex":0.0030464677,"about_ca_topic_score_gemma":0.0049621207,"teacher_disagreement_score":0.0030464677,"about_ca_system_score_codex":0.00025591833,"about_ca_system_score_gemma":0.0004975686,"threshold_uncertainty_score":0.0060574412},"labels":[],"label_agreement":null},{"id":"W2998525110","doi":"10.2514/6.2020-0681","title":"Comparison of Surrogate Modeling Methods for Finite Element Analysis of Landing Gear Loads","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Mechanical Engineering and Vibrations Research","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Safran Electronics (Canada)","funders":"","keywords":"Finite element method; Computer science; Landing gear; Structural engineering; Engineering","score_opus":0.08137828210158961,"score_gpt":0.40171002273839435,"score_spread":0.32033174063680475,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2998525110","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04295429,0.0005339597,0.950808,0.0002173067,0.000077323566,0.00005822579,0.00011220596,0.0004196409,0.004819087],"genre_scores_gemma":[0.7070109,0.001104303,0.28693396,0.000094508134,0.000048229445,0.0003205806,0.0004886262,0.0003402187,0.0036587042],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985134,0.0008009384,0.00008600714,0.00007519124,0.0004683422,0.000055987057],"domain_scores_gemma":[0.99580526,0.0029181829,0.00018412208,0.0003371021,0.00068234577,0.000073012125],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027842699,0.0008137395,0.0008967065,0.001005833,0.00023348954,0.0010987913,0.0009547221,0.0014263449,0.0018096691],"category_scores_gemma":[0.0071665263,0.000451903,0.0010652331,0.0006580273,0.0004008416,0.0010480419,0.00082758063,0.0009841992,0.00077064155],"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":[0.00020570167,0.000093332776,0.0008811639,0.00011895725,0.000051153358,0.00005204669,0.00009347922,0.93821484,0.0043778266,0.011936864,0.0004592233,0.04351543],"study_design_scores_gemma":[0.0000036694407,0.000024663326,0.00010199061,0.000008121917,0.0000022400463,0.000010228657,0.000009624314,0.99812704,0.0005457717,0.00078662694,0.0003748595,0.000005179322],"about_ca_topic_score_codex":0.0015296158,"about_ca_topic_score_gemma":0.0012699795,"teacher_disagreement_score":0.0027842699,"about_ca_system_score_codex":0.00047471828,"about_ca_system_score_gemma":0.00064522936,"threshold_uncertainty_score":0.014724791},"labels":[],"label_agreement":null},{"id":"W2998545803","doi":"10.2514/6.2020-0985","title":"Apparent Entropy Production Difference for Numerical Error Characterization","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Nanofluid Flow and Heat Transfer","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":"Memorial University of Newfoundland","funders":"","keywords":"Entropy production; Discretization; Control volume; Mathematics; Entropy (arrow of time); Applied mathematics; Finite volume method; Conservation law; Maximum entropy probability distribution; Computation; Heat transfer; Mathematical optimization; Mathematical analysis; Statistical physics; Thermodynamics; Physics; Principle of maximum entropy; Algorithm; Statistics","score_opus":0.01595973869296333,"score_gpt":0.21677711474709394,"score_spread":0.2008173760541306,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2998545803","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11109387,0.0007307066,0.88289,0.00011057161,0.00020576823,0.00009518443,0.00017455847,0.00079356675,0.0039056756],"genre_scores_gemma":[0.8267204,0.00020724958,0.17100002,0.000051763607,0.00007184424,0.00014438911,0.00029574483,0.00022385057,0.0012847262],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975036,0.0005854311,0.00018265174,0.00022837304,0.0014089346,0.0000909494],"domain_scores_gemma":[0.9911301,0.005530547,0.0007775733,0.0010774287,0.0013321622,0.00015215053],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034656362,0.000680398,0.00051570986,0.0022064082,0.0003278408,0.0008907969,0.0008253519,0.0006806675,0.0011302157],"category_scores_gemma":[0.011622263,0.00017048563,0.0004795785,0.00090987695,0.0012592138,0.001334507,0.0012236614,0.00082946394,0.00023972434],"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":[0.0009227704,0.00032456144,0.022558365,0.0008255084,0.00017906267,0.00037756935,0.00067878794,0.4505671,0.22377692,0.097024426,0.0015127034,0.20125219],"study_design_scores_gemma":[0.000014572393,0.00022406776,0.0043058586,0.000035273893,0.000018411256,0.0002252283,0.00003999221,0.9129132,0.071675956,0.008153308,0.002324372,0.00006976754],"about_ca_topic_score_codex":0.00031137932,"about_ca_topic_score_gemma":0.00020128668,"teacher_disagreement_score":0.0034656362,"about_ca_system_score_codex":0.00050390203,"about_ca_system_score_gemma":0.00047474768,"threshold_uncertainty_score":0.01832825},"labels":[],"label_agreement":null},{"id":"W2998570333","doi":"10.2514/6.2020-1768","title":"Phase based Control of a Novel Beam-Shape MRE-based Adaptive Tuned Vibration Absorber","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Vibration Control and Rheological Fluids","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":"Concordia University","funders":"","keywords":"Electromagnet; Vibration; Dynamic Vibration Absorber; Excitation; Beam (structure); Natural frequency; Acoustics; Finite element method; Vibration control; Magnetic field; Materials science; Phase (matter); Stiffness; Magnet; Physics; Engineering; Optics; Structural engineering; Electrical engineering","score_opus":0.01646508752262166,"score_gpt":0.22273218490333552,"score_spread":0.20626709738071386,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2998570333","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.41420227,0.0005810175,0.57459396,0.00024057704,0.000107655615,0.00006158099,0.00008614396,0.00054852554,0.009578232],"genre_scores_gemma":[0.9607687,0.00010926021,0.03568923,0.00004926153,0.000007942413,0.00003895607,0.000024258463,0.000011004739,0.0033014547],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99994445,0.00000750522,0.000002592943,0.00001497116,0.000023735947,0.0000066806815],"domain_scores_gemma":[0.9999292,0.000017626548,0.00002250633,0.0000075728753,0.000018172068,0.0000049560513],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009925348,0.00015898101,0.00015740159,0.000092595445,0.00009322929,0.00017400809,0.0005051594,0.0002900422,0.0013380107],"category_scores_gemma":[0.000118482414,0.000091882466,0.00015460097,0.00006309512,0.00013689883,0.00018818102,0.0001856965,0.00015695542,0.0002663534],"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":[0.00014168947,0.00004230342,0.00027136135,0.0001329731,0.000022045968,0.00009963434,0.00006214786,0.031118056,0.94265366,0.0026629812,0.00031908674,0.022474147],"study_design_scores_gemma":[0.000050030456,0.0005988989,0.0014481992,0.000020706071,0.000026852233,0.00019280965,0.000030177847,0.77458036,0.21735686,0.0006563976,0.005014362,0.000024240699],"about_ca_topic_score_codex":0.00015050627,"about_ca_topic_score_gemma":0.00027480055,"teacher_disagreement_score":0.0013380107,"about_ca_system_score_codex":0.000095868,"about_ca_system_score_gemma":0.00006646208,"threshold_uncertainty_score":0.0044760704},"labels":[],"label_agreement":null},{"id":"W2998625821","doi":"10.2514/6.2020-0719","title":"Validating the Deployment of a Novel Tether Design for Net-Based Orbital Debris Removal Missions","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Space Satellite Systems and Control","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":"Carleton University","funders":"","keywords":"Software deployment; Space debris; Debris; Astrobiology; Computer science; Aerospace engineering; Systems engineering; Geology; Engineering; Software engineering; Physics","score_opus":0.030600457234021532,"score_gpt":0.23732416963330644,"score_spread":0.20672371239928491,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2998625821","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84863555,0.000084415304,0.13736922,0.00019253012,0.00007144822,0.00013904652,0.00015007108,0.0004404252,0.012917243],"genre_scores_gemma":[0.981895,0.000038983395,0.016110824,0.000010467752,0.0000016215948,0.00004465634,0.000035265988,0.000011860568,0.0018513078],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99991286,0.000020229587,0.0000042879387,0.000011992288,0.00003608674,0.000014548316],"domain_scores_gemma":[0.99980885,0.000060697697,0.000028744387,0.00003949373,0.000044313212,0.000017911414],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019833997,0.00025207904,0.00016016875,0.00020510485,0.00022333777,0.0003375621,0.0005112362,0.0005196619,0.0016073817],"category_scores_gemma":[0.00048537206,0.00012257203,0.0001777426,0.00007740491,0.00023843325,0.00040476015,0.00032805465,0.00021154339,0.00027731698],"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":[0.00018120576,0.00009840596,0.0029575273,0.0001508633,0.000015971029,0.00022465774,0.00018604897,0.9173776,0.0551424,0.0026496635,0.0004511941,0.020564474],"study_design_scores_gemma":[0.000022860066,0.0003830689,0.0008942604,0.000012416872,0.000010639489,0.000036793837,0.00007049506,0.9815276,0.015009116,0.00027044967,0.0017527848,0.000009505594],"about_ca_topic_score_codex":0.0019840733,"about_ca_topic_score_gemma":0.0022838025,"teacher_disagreement_score":0.0019840733,"about_ca_system_score_codex":0.00029834048,"about_ca_system_score_gemma":0.00041092766,"threshold_uncertainty_score":0.005377233},"labels":[],"label_agreement":null},{"id":"W2998641890","doi":"10.2514/6.2020-2037","title":"Streamwise Variation of the Unsteady Pressure Field in the Three-Dimensional Wall Jet","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Aerodynamics and Acoustics in Jet Flows","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":"University of New Brunswick","funders":"","keywords":"Jet (fluid); Mechanics; Turbulence; Reynolds number; Nozzle; Physics; Spectral line; Thermodynamics","score_opus":0.006721502658904176,"score_gpt":0.19366155186207407,"score_spread":0.1869400492031699,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2998641890","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99601364,0.00003258763,0.003341317,0.000011252988,0.000006131391,0.0000049329637,0.00007591708,0.00006685802,0.00044723146],"genre_scores_gemma":[0.9980399,0.000034007146,0.0015887482,0.000011041978,0.000005402709,0.000010291902,0.00008499699,0.000013777906,0.00021192632],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998185,0.000015952653,0.0000101923215,0.000028760242,0.000093660004,0.000032832042],"domain_scores_gemma":[0.99949276,0.00020560934,0.00007392815,0.000034600947,0.00012064325,0.00007246542],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020829719,0.00020184787,0.00026915612,0.00036671938,0.0002231726,0.0005927707,0.00018829586,0.0002579909,0.0006567173],"category_scores_gemma":[0.00079112884,0.00016630816,0.00013821994,0.00028411593,0.00052774925,0.0003481267,0.0002564606,0.0005798026,0.00011889382],"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":[0.00023116164,0.000058917918,0.0066876756,0.000028717697,0.000011709815,0.000228858,0.00022197232,0.0029012992,0.9813163,0.0003192779,0.000076601704,0.007917495],"study_design_scores_gemma":[0.00004675131,0.0010577617,0.26448628,0.000020888445,0.00003151833,0.00038654578,0.0003630569,0.06787808,0.6642858,0.00041102857,0.00091114076,0.00012121972],"about_ca_topic_score_codex":0.0006160752,"about_ca_topic_score_gemma":0.00042847448,"teacher_disagreement_score":0.0006567173,"about_ca_system_score_codex":0.00017212883,"about_ca_system_score_gemma":0.00018461375,"threshold_uncertainty_score":0.0021969676},"labels":[],"label_agreement":null},{"id":"W2998666395","doi":"10.2514/6.2020-1231","title":"Developing an Improved 1-D Thermoflow Approach to Analyze Turbine Vane Temperature Distribution","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Turbomachinery Performance and Optimization","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":"Heat transfer; Mechanics; Solver; Thermal conduction; Heat transfer coefficient; Flow (mathematics); Turbine; Convective heat transfer; Convection; Materials science; Computational fluid dynamics; Field (mathematics); Mechanical engineering; Computer science; Thermodynamics; Physics; Engineering; Mathematics","score_opus":0.00755695052735403,"score_gpt":0.20577539156950989,"score_spread":0.19821844104215586,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2998666395","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016583163,0.00019520975,0.977387,0.000081377475,0.00006784658,0.00006529342,0.00020812535,0.0006519359,0.004759959],"genre_scores_gemma":[0.48133376,0.00062079466,0.5093593,0.00012803188,0.0000997528,0.00043070017,0.00070528133,0.0004939563,0.006828497],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998642,0.000026571086,0.0000088035085,0.000032378928,0.00005268551,0.0000152557695],"domain_scores_gemma":[0.99977344,0.00008192395,0.000023131259,0.000029669078,0.00007981613,0.000011968908],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002733245,0.00061448454,0.0005066852,0.00081001635,0.00043452322,0.0008519414,0.00095951284,0.0009312131,0.0022006712],"category_scores_gemma":[0.0009005406,0.0005043501,0.0008549686,0.0004526497,0.00034911395,0.00088247895,0.0005933605,0.0007536562,0.0005979277],"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":[0.000016398622,0.00003504453,0.0010459337,0.00006592279,0.000017900376,0.000058878028,0.000051122126,0.96104443,0.0076449094,0.008540029,0.0005535058,0.020925928],"study_design_scores_gemma":[0.0000018257219,0.0000031240988,0.00007822905,0.0000023365149,0.0000012030904,0.000006282761,0.0000025831016,0.99841845,0.00043744218,0.00045143164,0.00059352274,0.0000035659007],"about_ca_topic_score_codex":0.00843356,"about_ca_topic_score_gemma":0.006767276,"teacher_disagreement_score":0.00843356,"about_ca_system_score_codex":0.00063189055,"about_ca_system_score_gemma":0.0012052177,"threshold_uncertainty_score":0.016768932},"labels":[],"label_agreement":null},{"id":"W2998676654","doi":"10.2514/6.2020-2078","title":"Lyapunov Vector Fields for Thrust-Limited Spacecraft Docking with an Elliptically-Orbiting Uncooperative Tumbling Target","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Spacecraft Dynamics and Control","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Thrust; Spacecraft; Control theory (sociology); Lyapunov function; Vector field; Acceleration; Aerospace engineering; Physics; Computer science; Engineering; Classical mechanics; Nonlinear system; Mechanics","score_opus":0.008933986530701592,"score_gpt":0.21172917295254634,"score_spread":0.20279518642184474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2998676654","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0708829,0.00026075856,0.9232718,0.00019833758,0.00004707113,0.00005185321,0.00003269371,0.00013926261,0.0051153037],"genre_scores_gemma":[0.9424301,0.00030204817,0.04886235,0.000035887668,0.000018248556,0.00009148519,0.0000677229,0.000033798653,0.008158408],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999484,0.000016009779,0.0000023450684,0.0000046573423,0.000023050123,0.0000055693486],"domain_scores_gemma":[0.99982965,0.000058882415,0.000035871177,0.000007446456,0.000053235723,0.000014893543],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033227247,0.00032053137,0.00020581696,0.00047284496,0.00022899218,0.00042628465,0.00027643846,0.00024500338,0.0010215256],"category_scores_gemma":[0.0008147582,0.00014151103,0.00014975242,0.00019439323,0.00037447293,0.0003234229,0.00038897689,0.00033273685,0.00017586527],"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":[0.000044919063,0.000031576736,0.00051713287,0.000040394345,0.000007698455,0.00009789953,0.00007194302,0.9058305,0.008353602,0.05930816,0.00087983545,0.024816392],"study_design_scores_gemma":[0.0000035947187,0.000023590674,0.00006959382,0.0000030082097,6.194657e-7,0.0000067082333,0.000009328731,0.99616724,0.00034802654,0.0030714541,0.00029306966,0.0000035964672],"about_ca_topic_score_codex":0.0023740907,"about_ca_topic_score_gemma":0.0019994492,"teacher_disagreement_score":0.0023740907,"about_ca_system_score_codex":0.0005132349,"about_ca_system_score_gemma":0.00077662,"threshold_uncertainty_score":0.0047205687},"labels":[],"label_agreement":null},{"id":"W2998696895","doi":"10.2514/6.2020-0335","title":"Full-scale aeroelastic simulations of hovering bat flight","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Biomimetic flight and propulsion mechanisms","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":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Aeroelasticity; Wing; Flapping; Aerodynamics; Wing twist; Lift (data mining); Reynolds number; Wing configuration; Aerospace engineering; Vortex; Chord (peer-to-peer); Swept wing; Angle of attack; Computer science; Structural engineering; Engineering; Physics; Mechanics; Turbulence","score_opus":0.007881534822649503,"score_gpt":0.19086710948072091,"score_spread":0.18298557465807141,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2998696895","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9675153,0.00033222782,0.016892482,0.00044388362,0.000054561322,0.000054488006,0.000590273,0.0001641358,0.013952601],"genre_scores_gemma":[0.99327713,0.00011885474,0.004254088,0.00007467776,0.00001405945,0.000061762315,0.0003723961,0.00004389736,0.0017831562],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99989736,0.000024344168,0.0000055759197,0.000013621606,0.000031680454,0.000027297738],"domain_scores_gemma":[0.99964607,0.00017626911,0.0000405591,0.000024598885,0.00004771698,0.000064883396],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020011132,0.00038114,0.00050802866,0.00032114892,0.0005291271,0.00067936064,0.00070683355,0.0012803193,0.0018122904],"category_scores_gemma":[0.0008938028,0.00023518379,0.0005142508,0.0003454343,0.0006974197,0.00046894923,0.0007646391,0.0006824024,0.00021519016],"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":[0.00005209997,0.00004813793,0.0019134165,0.000024605402,0.000023364053,0.00014052913,0.00004842386,0.9936294,0.0018385754,0.0010578712,0.00019277661,0.0010308177],"study_design_scores_gemma":[0.000013071049,0.000016118272,0.00085011363,0.0000034759516,0.000002376969,0.000011588052,0.00003496547,0.998379,0.00017692847,0.0003194407,0.00018873945,0.0000040994855],"about_ca_topic_score_codex":0.012203251,"about_ca_topic_score_gemma":0.007635226,"teacher_disagreement_score":0.012203251,"about_ca_system_score_codex":0.00042571267,"about_ca_system_score_gemma":0.0005714968,"threshold_uncertainty_score":0.024264455},"labels":[],"label_agreement":null},{"id":"W3004022494","doi":"10.2514/6.2020-0280.c1","title":"Withdrawal: Development of an Automated Tool for Airfoil Selection (ATAS) during Aircraft Conceptual Design","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Aerospace and Aviation Technology","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 Calgary","funders":"","keywords":"Airfoil; Selection (genetic algorithm); Conceptual design; Computer science; Systems engineering; Aerospace engineering; Aeronautics; Engineering; Human–computer interaction; Artificial intelligence","score_opus":0.011186088703905432,"score_gpt":0.2283253444257317,"score_spread":0.21713925572182627,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3004022494","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.028414736,0.00009189378,0.871694,0.00015309037,0.00016199602,0.0002837977,0.0007871701,0.09081406,0.0075992723],"genre_scores_gemma":[0.21897298,0.00018309205,0.73227924,0.000270082,0.00007054103,0.00043528897,0.0035574157,0.019534726,0.024696704],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991586,0.00009654667,0.000052605115,0.00014130089,0.00048729306,0.0000635985],"domain_scores_gemma":[0.9984854,0.0005547249,0.000115371,0.00028465473,0.00044452937,0.00011529709],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009365848,0.0013487879,0.00056479394,0.0009552075,0.00047657994,0.0010389339,0.0022047847,0.0007080252,0.021946535],"category_scores_gemma":[0.003375772,0.0009774459,0.0008082491,0.00036170744,0.00044760763,0.0014894749,0.0017912851,0.001232891,0.0069968714],"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":[0.0008699013,0.00029911817,0.0060497336,0.0005455629,0.0001143233,0.00081799505,0.0008720851,0.016690947,0.25040925,0.005710488,0.04399242,0.6736283],"study_design_scores_gemma":[0.00055899174,0.0010681141,0.00786672,0.00018460295,0.00013379629,0.0011872095,0.00033428727,0.51027834,0.24591666,0.0053498535,0.2268898,0.00023154638],"about_ca_topic_score_codex":0.0021438978,"about_ca_topic_score_gemma":0.0035483914,"teacher_disagreement_score":0.021946535,"about_ca_system_score_codex":0.00031042015,"about_ca_system_score_gemma":0.0012548096,"threshold_uncertainty_score":0.07341844},"labels":[],"label_agreement":null},{"id":"W4243976675","doi":"10.2514/6.2020-1048","title":"Stability of Energy Stable Flux Reconstruction for the Diffusion Problem using Compact Numerical Fluxes on Quadrilateral Elements","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Advanced Numerical Methods in Computational Mathematics","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":"Discontinuous Galerkin method; Mathematics; Quadrilateral; Stability (learning theory); Polygon mesh; Numerical stability; Galerkin method; Numerical diffusion; Applied mathematics; Mathematical analysis; Convection–diffusion equation; Diffusion; Numerical analysis; Finite element method; Computer science; Physics; Geometry; Mechanics","score_opus":0.04268166778084978,"score_gpt":0.2956682141219375,"score_spread":0.25298654634108775,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4243976675","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.047072057,0.00037475998,0.94717866,0.0004394503,0.000052686555,0.00004577365,0.000036222405,0.000091641334,0.0047087655],"genre_scores_gemma":[0.8083956,0.00079409184,0.18127446,0.00024874532,0.00009620454,0.0001853339,0.00018984951,0.00026513144,0.008550605],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993761,0.00026261888,0.000027347694,0.00008627138,0.00020481725,0.000042855492],"domain_scores_gemma":[0.9977301,0.001508668,0.0002032979,0.00012387805,0.00036751977,0.00006657606],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019551634,0.00067886844,0.00046878005,0.00075943244,0.00048695065,0.0010228427,0.0005355914,0.0009019962,0.0014550166],"category_scores_gemma":[0.006445635,0.0002994139,0.00071226945,0.00025244005,0.0020256485,0.0011884873,0.0022445482,0.001327062,0.00027364862],"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":[0.000378519,0.00007051324,0.0023903968,0.00034155732,0.000047875183,0.0002928235,0.0005799672,0.4416562,0.05343933,0.4573392,0.0014874229,0.041976146],"study_design_scores_gemma":[0.000008380051,0.00002215147,0.00011117196,0.000015609661,0.0000029814753,0.000037900256,0.000026227213,0.9746249,0.003527925,0.020929243,0.00068608474,0.000007552674],"about_ca_topic_score_codex":0.0016512029,"about_ca_topic_score_gemma":0.0006649126,"teacher_disagreement_score":0.0019551634,"about_ca_system_score_codex":0.0005529968,"about_ca_system_score_gemma":0.0006734064,"threshold_uncertainty_score":0.010340035},"labels":[],"label_agreement":null}]}