{"meta":{"query_hash":"62c396db4f16","filters":{"venue":"AIAA Modeling and Simulation Technologies Conference and Exhibit"},"cohort_total":23,"direct_labels_cover":0,"predictions_cover":23,"exported":23,"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/62c396db4f16","api":"https://metacan.xera.ac/api/v1/cohort?venue=AIAA+Modeling+and+Simulation+Technologies+Conference+and+Exhibit"},"results":[{"id":"W2017540304","doi":"10.2514/6.2006-6726","title":"Simulink-Based Simulation Architecture for Evaluating Controls for Aerospace Vehicles (SAREC-ASV)","year":2006,"lang":"en","type":"article","venue":"AIAA Modeling and Simulation Technologies Conference and Exhibit","topic":"Real-time simulation and control systems","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; Architecture; Computer science; Embedded system; Computer architecture; Aerospace engineering; Systems engineering; Engineering","score_opus":0.03475482876221503,"score_gpt":0.28331772842096825,"score_spread":0.24856289965875322,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2017540304","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":[0.00656758,0.00011630232,0.96646345,0.00013431854,0.00012222904,0.00029032954,0.00055187545,0.01376717,0.011986744],"genre_scores_gemma":[0.28726408,0.00068007136,0.68152684,0.00019318829,0.00006925695,0.0019655908,0.0046461127,0.0025316658,0.021123251],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99913293,0.00028709468,0.0000790055,0.00009686882,0.00035753235,0.000046605113],"domain_scores_gemma":[0.9989335,0.00022017576,0.00006370763,0.00019921122,0.000532626,0.000050738363],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014870847,0.00075291615,0.00046755152,0.0006371721,0.00035038867,0.0008451951,0.001157397,0.00057983055,0.0076071657],"category_scores_gemma":[0.0022823035,0.00045820302,0.00051764684,0.00037596776,0.00035073757,0.00064530043,0.0006450348,0.0011169566,0.0025922204],"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":[0.0003274269,0.00015407782,0.0014476115,0.00033495898,0.000090036825,0.00013002995,0.00019835954,0.8094329,0.030226002,0.04610248,0.016390834,0.09516532],"study_design_scores_gemma":[0.00012479411,0.00016367716,0.00037199887,0.000040809235,0.000033625827,0.000062919586,0.000014744549,0.8943079,0.019046206,0.005250627,0.08055626,0.000026478378],"about_ca_topic_score_codex":0.0033687043,"about_ca_topic_score_gemma":0.0028437073,"teacher_disagreement_score":0.0076071657,"about_ca_system_score_codex":0.0006613271,"about_ca_system_score_gemma":0.0017671923,"threshold_uncertainty_score":0.025448501},"labels":[],"label_agreement":null},{"id":"W2091084914","doi":"10.2514/6.2003-5528","title":"Flight Control Modeling and Integration from a Real-Time Systems Simulator to a Flight Training Device","year":2003,"lang":"en","type":"article","venue":"AIAA Modeling and Simulation Technologies Conference and Exhibit","topic":"Real-time simulation and control systems","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Flight simulator; Training (meteorology); Computer science; Simulation; Flight training; Control (management); Artificial intelligence","score_opus":0.028426562517475232,"score_gpt":0.23692900278109563,"score_spread":0.20850244026362041,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2091084914","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":[0.056031995,0.0000628847,0.9258321,0.00017330864,0.00007622225,0.00021514106,0.00022817565,0.004834529,0.012545742],"genre_scores_gemma":[0.7320629,0.00023861266,0.25525162,0.000096090545,0.000030969946,0.0005021253,0.00090819935,0.0004016539,0.010507813],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997727,0.000039672137,0.000017012242,0.000027898785,0.00012208767,0.000020633439],"domain_scores_gemma":[0.9996743,0.00008939059,0.00002036947,0.00009636279,0.00010254157,0.000017051727],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004614422,0.00043077816,0.00026332415,0.0002529614,0.00022464308,0.0006192101,0.0009093947,0.00040765374,0.0052556144],"category_scores_gemma":[0.0009747374,0.00026109422,0.0005202504,0.00013699036,0.00025394565,0.000447007,0.0005480583,0.0007913731,0.00078940025],"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":[0.00008871292,0.00009209143,0.0007685115,0.00006777134,0.000022359276,0.00010680593,0.0001247764,0.9416338,0.011951281,0.006815651,0.0011666478,0.037161577],"study_design_scores_gemma":[0.000019876607,0.000073511095,0.00027431222,0.000007584781,0.000008871482,0.000024184788,0.000014987004,0.9877154,0.006666624,0.0008393358,0.0043497183,0.000005653035],"about_ca_topic_score_codex":0.006595228,"about_ca_topic_score_gemma":0.0034931458,"teacher_disagreement_score":0.006595228,"about_ca_system_score_codex":0.00041183358,"about_ca_system_score_gemma":0.0009467707,"threshold_uncertainty_score":0.01758176},"labels":[],"label_agreement":null},{"id":"W2112547208","doi":"10.2514/6.2007-6881","title":"Simulation Environment for Orion Launch Abort System Control Design Studies","year":2007,"lang":"en","type":"article","venue":"AIAA Modeling and Simulation Technologies Conference and Exhibit","topic":"Space Exploration and 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":"Langley Research Center; National Aeronautics and Space Administration","keywords":"Aerodynamics; Abort; Computer science; Crew; Control (management); Control system; Software; Systems engineering; Software engineering; Control engineering; Simulation; Engineering; Operating system; Aeronautics; Aerospace engineering","score_opus":0.06668144980571393,"score_gpt":0.28029373721341533,"score_spread":0.21361228740770138,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2112547208","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":[0.026047565,0.00032593284,0.8678909,0.0005131831,0.00026338294,0.0007148841,0.0046619475,0.030047035,0.069535166],"genre_scores_gemma":[0.28834414,0.0011194712,0.64619565,0.00026979612,0.0001073227,0.0046258057,0.010372515,0.0077322773,0.041232992],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994199,0.00021020691,0.00003160104,0.00004363727,0.00024386149,0.00005078525],"domain_scores_gemma":[0.99891865,0.00057581475,0.000039230363,0.00012308064,0.00025499956,0.000088290035],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011956305,0.00092247984,0.00071052887,0.0008476562,0.0006112721,0.00087384216,0.0017155128,0.0007936758,0.034792922],"category_scores_gemma":[0.0023973694,0.00048601098,0.0006371715,0.0005770007,0.00031145918,0.0007868561,0.0011535957,0.001292647,0.0042581237],"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":[0.00053395657,0.00036893756,0.0023426912,0.0004203987,0.00008857203,0.00035701,0.00040470876,0.8236682,0.015625207,0.0325361,0.04467905,0.078975156],"study_design_scores_gemma":[0.00025138224,0.00013311207,0.00045398014,0.000057171463,0.000025718473,0.000064597065,0.00004600827,0.8895484,0.007569169,0.0056697666,0.09614264,0.000038057173],"about_ca_topic_score_codex":0.0036865703,"about_ca_topic_score_gemma":0.003964,"teacher_disagreement_score":0.034792922,"about_ca_system_score_codex":0.00058664824,"about_ca_system_score_gemma":0.0012854224,"threshold_uncertainty_score":0.116393924},"labels":[],"label_agreement":null},{"id":"W2123231389","doi":"10.2514/6.2006-6724","title":"Mission-Based Simulation Software Development for Optimizing Air Vehicle Life Cycle Costs","year":2006,"lang":"en","type":"article","venue":"AIAA Modeling and Simulation Technologies Conference and Exhibit","topic":"Simulation Techniques and Applications","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":"Impact","funders":"","keywords":"Software; Systems engineering; Component (thermodynamics); Reliability (semiconductor); Engineering; Air combat; Architecture; Test bench; Computer science; Reliability engineering; Aeronautics; Embedded system; Operating system","score_opus":0.10558114267805009,"score_gpt":0.3622942770042506,"score_spread":0.2567131343262005,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2123231389","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":[0.035429206,0.00014413282,0.9303449,0.00024385903,0.00007976297,0.0003173979,0.0009809821,0.010866707,0.021593064],"genre_scores_gemma":[0.4008452,0.0004978655,0.5855455,0.000089866495,0.000027643751,0.0008412889,0.0027977852,0.0024290187,0.0069258963],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993413,0.00024821857,0.000047719448,0.00005001475,0.00025715266,0.00005552451],"domain_scores_gemma":[0.9980895,0.0008132878,0.00010324487,0.0001981877,0.00072200375,0.00007374512],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016008957,0.0008488836,0.00044556783,0.001190952,0.00044021397,0.0011269463,0.0013407979,0.00054612337,0.007152704],"category_scores_gemma":[0.0048886524,0.00066488783,0.00080259197,0.00078068953,0.00024240057,0.0009770273,0.00073882414,0.00092364213,0.0011830662],"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":[0.000061740146,0.00007865193,0.0016479034,0.000070129354,0.000036675323,0.000048818263,0.00007946037,0.94769454,0.0025612088,0.008936536,0.0037090965,0.03507526],"study_design_scores_gemma":[0.00001516768,0.000016064663,0.00015183492,0.000010848529,0.000007870781,0.0000087466915,0.000015595995,0.993148,0.0015589008,0.0010491193,0.004011349,0.0000064129995],"about_ca_topic_score_codex":0.010080641,"about_ca_topic_score_gemma":0.012953011,"teacher_disagreement_score":0.010080641,"about_ca_system_score_codex":0.0010570684,"about_ca_system_score_gemma":0.0020290976,"threshold_uncertainty_score":0.023928165},"labels":[],"label_agreement":null},{"id":"W2137431390","doi":"10.2514/6.2004-4917","title":"Digital Flight Control with Time Delay in Real-Time Simulation","year":2004,"lang":"en","type":"article","venue":"AIAA Modeling and Simulation Technologies Conference and Exhibit","topic":"Real-time simulation and control systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Control (management); Real-time computing; Artificial intelligence","score_opus":0.010775306697137362,"score_gpt":0.21321351437187308,"score_spread":0.20243820767473572,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2137431390","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":[0.05708736,0.00017247029,0.9311763,0.0001851305,0.00006683347,0.000081497165,0.00008896003,0.0008755607,0.010265954],"genre_scores_gemma":[0.8731818,0.00023865073,0.12110604,0.000052723386,0.00001884466,0.00021700776,0.00010406419,0.000088069835,0.0049927877],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995956,0.00012605557,0.000020164294,0.000040657662,0.00017767414,0.00003994412],"domain_scores_gemma":[0.99928844,0.0003774844,0.00005175209,0.00011418282,0.00014343632,0.000024778219],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00073862844,0.0003607881,0.00033111032,0.00029545755,0.0002483875,0.0007681553,0.00058347336,0.000510489,0.0034189539],"category_scores_gemma":[0.002119357,0.00026820065,0.00027835162,0.00020200749,0.00057097134,0.00075795356,0.00046718883,0.00061412534,0.00031256187],"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":[0.00011790126,0.00004071622,0.00044782698,0.000046933135,0.000010987337,0.0000421567,0.000053908443,0.9667213,0.004329792,0.01737231,0.00023970178,0.010576602],"study_design_scores_gemma":[0.000020631247,0.000028659933,0.00004372565,0.0000041161443,0.0000035249745,0.000008176107,0.000004289507,0.9955374,0.0019026952,0.0013013999,0.0011420891,0.0000034088027],"about_ca_topic_score_codex":0.0050017266,"about_ca_topic_score_gemma":0.0028998456,"teacher_disagreement_score":0.0050017266,"about_ca_system_score_codex":0.0006150526,"about_ca_system_score_gemma":0.00068782596,"threshold_uncertainty_score":0.011437535},"labels":[],"label_agreement":null},{"id":"W2316499165","doi":"10.2514/6.2001-4374","title":"A lumped parameter model of turboprop aircraft operating on gravel runways","year":2001,"lang":"en","type":"article","venue":"AIAA Modeling and Simulation Technologies Conference and Exhibit","topic":"Target Tracking and Data Fusion in Sensor Networks","field":"Computer Science","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 Saskatchewan","funders":"","keywords":"Runway; Turboprop; Aerospace engineering; Aeronautics; Computer science; Automotive engineering; Engineering","score_opus":0.059051137780745604,"score_gpt":0.268297672490729,"score_spread":0.2092465347099834,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2316499165","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":[0.41042334,0.0010390526,0.4932047,0.0013423905,0.00037714018,0.0004939566,0.0051365104,0.0018094943,0.086173445],"genre_scores_gemma":[0.96553725,0.00050370174,0.005834991,0.000079720456,0.000031035852,0.00036390245,0.00068240473,0.00006955246,0.026897365],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99982494,0.00003179945,0.000009930866,0.000048453516,0.000047433437,0.00003745776],"domain_scores_gemma":[0.9997688,0.00008677703,0.00004774287,0.000018299574,0.00006251072,0.000015878004],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023893004,0.0010355711,0.0010321814,0.0005476831,0.00086451723,0.0013826715,0.0018861844,0.002270632,0.0074156667],"category_scores_gemma":[0.00053789205,0.0006180171,0.0008653859,0.0004372798,0.0007227909,0.001319558,0.00076632306,0.0011752235,0.0017023415],"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":[0.000058857408,0.000026473535,0.0005308981,0.000040990344,0.000015583128,0.00013019674,0.000063757456,0.9935975,0.00192277,0.0018716231,0.00026812343,0.0014732733],"study_design_scores_gemma":[0.000013374548,0.000042202868,0.00033615515,0.0000068277814,0.000011149986,0.000020433523,0.000022150425,0.9982863,0.00022171676,0.00054636993,0.0004825141,0.0000108405675],"about_ca_topic_score_codex":0.027948862,"about_ca_topic_score_gemma":0.0112213055,"teacher_disagreement_score":0.027948862,"about_ca_system_score_codex":0.00078015256,"about_ca_system_score_gemma":0.0010185514,"threshold_uncertainty_score":0.05557233},"labels":[],"label_agreement":null},{"id":"W2316890978","doi":"10.2514/6.2002-4473","title":"Robust Flight Control: A Distributed Simulation Implementation","year":2002,"lang":"en","type":"article","venue":"AIAA Modeling and Simulation Technologies Conference and Exhibit","topic":"Real-time simulation and control systems","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":"Robustness (evolution); Computer science; Benchmark (surveying); Control engineering; Robust control; Flight simulator; Control system; Simulation; Engineering","score_opus":0.042482133809946816,"score_gpt":0.24691493463373812,"score_spread":0.2044328008237913,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2316890978","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":[0.0052858246,0.00003524294,0.9870415,0.00012653004,0.000030020947,0.000057994956,0.000037868907,0.0035276453,0.003857359],"genre_scores_gemma":[0.44925117,0.00021814763,0.54326683,0.0001408866,0.00004794376,0.0005058484,0.00022061428,0.00057288515,0.0057756393],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992355,0.00025517656,0.000042827236,0.000119835866,0.00029411985,0.000052443913],"domain_scores_gemma":[0.9992079,0.00033060557,0.000053099415,0.000203789,0.00016647467,0.000038042108],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015514481,0.0004923698,0.00066166586,0.00034255345,0.0003237567,0.0012000535,0.001865029,0.0010752492,0.0070011625],"category_scores_gemma":[0.0030679652,0.00037141284,0.000492146,0.00025293152,0.00062801625,0.00094312395,0.0013793634,0.0012161174,0.0012660024],"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":[0.0002447354,0.00016367059,0.00062199915,0.00009673027,0.00008257571,0.00015403739,0.00013670951,0.8435839,0.012901632,0.047836665,0.0020127362,0.092164636],"study_design_scores_gemma":[0.000059838418,0.000037261358,0.00003484547,0.0000057424745,0.000008808305,0.0000185098,0.0000071948293,0.9907391,0.0024444873,0.0038819397,0.002756159,0.0000060825637],"about_ca_topic_score_codex":0.0030603483,"about_ca_topic_score_gemma":0.0020979554,"teacher_disagreement_score":0.0070011625,"about_ca_system_score_codex":0.00062338857,"about_ca_system_score_gemma":0.00090834557,"threshold_uncertainty_score":0.023421228},"labels":[],"label_agreement":null},{"id":"W2317548558","doi":"10.2514/6.2005-6024","title":"Validation of Autonomous Hazard-Avoidance Mars Landing via Closed-Loop Simulations","year":2005,"lang":"en","type":"article","venue":"AIAA Modeling and Simulation Technologies Conference and Exhibit","topic":"Space Satellite Systems and Control","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":"NGC Aerospace (Canada)","funders":"","keywords":"Mars Exploration Program; Mars landing; Collision avoidance; Exploration of Mars; Software; Computer science; Simulation; Spacecraft; Aerospace engineering; Mission control center; Engineering; Systems engineering","score_opus":0.019487285520576648,"score_gpt":0.2350944750826108,"score_spread":0.21560718956203415,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2317548558","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":[0.90767187,0.00007507988,0.086022384,0.00011660938,0.000034042496,0.00016484252,0.0002863814,0.0005306395,0.005098248],"genre_scores_gemma":[0.99144685,0.000024182986,0.007921883,0.000013734969,0.0000022263916,0.000092661416,0.000118757765,0.000018832383,0.00036087673],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994924,0.00020289124,0.000027566472,0.00004026304,0.00017135462,0.00006551723],"domain_scores_gemma":[0.9958223,0.0029700499,0.00024545504,0.00026285255,0.0006001193,0.00009920864],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009691844,0.0004349787,0.0004959463,0.00036219414,0.00041318435,0.00059781777,0.00096429494,0.0008340167,0.0010708552],"category_scores_gemma":[0.004809424,0.0002480354,0.00039504818,0.00018145201,0.0007365457,0.0004918198,0.00049160444,0.0006046739,0.00013228823],"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":[0.00006521092,0.000048331596,0.0012391433,0.00002474646,0.000010829697,0.000031285912,0.00005159735,0.99466574,0.001558531,0.00073949737,0.0000628596,0.0015022475],"study_design_scores_gemma":[0.000026156296,0.000070996444,0.00027532357,0.0000035706935,0.0000032606083,0.0000047340154,0.000009165407,0.9977059,0.00156653,0.00019676957,0.00013365236,0.0000039982046],"about_ca_topic_score_codex":0.008722023,"about_ca_topic_score_gemma":0.0034923588,"teacher_disagreement_score":0.008722023,"about_ca_system_score_codex":0.000616692,"about_ca_system_score_gemma":0.0009914468,"threshold_uncertainty_score":0.017342567},"labels":[],"label_agreement":null},{"id":"W2319093749","doi":"10.2514/6.2001-4130","title":"A COTS solution for the distributed flight simulation of an F-14 squadron","year":2001,"lang":"en","type":"article","venue":"AIAA Modeling and Simulation Technologies Conference and Exhibit","topic":"Real-time simulation and control systems","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":"Opal-Rt Technologies (Canada)","funders":"","keywords":"Computer science; Aeronautics; Flight simulator; Aerospace engineering; Real-time computing; Simulation; Engineering","score_opus":0.031687117123360656,"score_gpt":0.2607904377725604,"score_spread":0.22910332064919975,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2319093749","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":[0.008063099,0.000052826217,0.9834626,0.00009990011,0.00008780401,0.00006701273,0.00013363663,0.0023468996,0.0056861853],"genre_scores_gemma":[0.30499005,0.00020718036,0.67569846,0.00014352908,0.000063586376,0.00043632917,0.0007487966,0.0007759827,0.016936129],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99980265,0.00003741794,0.000014364342,0.000033184868,0.000087134234,0.000025184734],"domain_scores_gemma":[0.99964917,0.00008988201,0.000030042655,0.000056038447,0.00013745384,0.000037454316],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046983227,0.00060996006,0.00035712228,0.00028566687,0.00045305263,0.0005719398,0.00097086735,0.0007833249,0.00994526],"category_scores_gemma":[0.0013480277,0.0003403362,0.0005691322,0.0002687761,0.00029402584,0.00046293953,0.00070395065,0.0009208666,0.0021617059],"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":[0.00018505506,0.000085016414,0.001856737,0.0001312337,0.000055154866,0.00032715863,0.00017440358,0.8431364,0.013701804,0.046234317,0.008836684,0.085276134],"study_design_scores_gemma":[0.00003721401,0.000024506857,0.00009668932,0.000008949488,0.00000596277,0.0000468516,0.00001204855,0.9858518,0.0015603363,0.002575912,0.009774281,0.000005335815],"about_ca_topic_score_codex":0.0055477065,"about_ca_topic_score_gemma":0.006797374,"teacher_disagreement_score":0.00994526,"about_ca_system_score_codex":0.0005405018,"about_ca_system_score_gemma":0.0010734183,"threshold_uncertainty_score":0.03327024},"labels":[],"label_agreement":null},{"id":"W2321118200","doi":"10.2514/6.2003-5677","title":"The Effects of Simulator Motion on Handling Qualities","year":2003,"lang":"en","type":"article","venue":"AIAA Modeling and Simulation Technologies Conference and Exhibit","topic":"Aerospace and Aviation Technology","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":"University of Toronto","funders":"","keywords":"Computer science; Simulation; Motion (physics); Human–computer interaction; Artificial intelligence","score_opus":0.015607915876652369,"score_gpt":0.23160160109563693,"score_spread":0.21599368521898457,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2321118200","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":[0.9981353,0.000044689714,0.0013831612,0.000010800759,0.000004085124,0.000016729962,0.000032217726,0.000022330614,0.00035063695],"genre_scores_gemma":[0.99868065,0.000051973675,0.0008243983,0.000016792923,0.000003234222,0.000012771581,0.000077490564,0.000011874353,0.00032069362],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993549,0.0002598289,0.00006665396,0.00008059332,0.00015216935,0.000085936736],"domain_scores_gemma":[0.9918194,0.006156349,0.00080113683,0.0005372836,0.0004274372,0.00025845415],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00080771797,0.00043286558,0.00023554284,0.00025470683,0.0001282907,0.00036584053,0.00022895265,0.0003029552,0.0022075463],"category_scores_gemma":[0.012456684,0.000193085,0.00028305664,0.00011493293,0.00031118968,0.00044445068,0.00048324067,0.00030966345,0.00017294862],"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":[0.014208026,0.001379146,0.08239454,0.00057765766,0.00028910013,0.00043933475,0.0011242153,0.040971205,0.7480464,0.00014670497,0.00018791323,0.110235795],"study_design_scores_gemma":[0.00034298768,0.04202504,0.71559983,0.00008013985,0.0003853528,0.00080659054,0.0010207312,0.03566273,0.20185305,0.00032036137,0.0017602551,0.00014294527],"about_ca_topic_score_codex":0.0009765909,"about_ca_topic_score_gemma":0.0008146317,"teacher_disagreement_score":0.0022075463,"about_ca_system_score_codex":0.00017260283,"about_ca_system_score_gemma":0.00012598385,"threshold_uncertainty_score":0.007384956},"labels":[],"label_agreement":null},{"id":"W2321787706","doi":"10.2514/6.2002-4609","title":"To Tail or Two Tails? - The Effective Design and Modeling of Yaw Control Devices","year":2002,"lang":"en","type":"article","venue":"AIAA Modeling and Simulation Technologies Conference and Exhibit","topic":"Hydraulic and Pneumatic Systems","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Control (management); Computer science; Control theory (sociology); Artificial intelligence","score_opus":0.0515478190789649,"score_gpt":0.258072305478157,"score_spread":0.20652448639919213,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2321787706","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":[0.018784955,0.00085073913,0.9695514,0.00039523127,0.0001482957,0.00002566579,0.00004343319,0.00024353902,0.009956777],"genre_scores_gemma":[0.9083452,0.0018451783,0.070220456,0.00025806105,0.00015476673,0.00010810035,0.00009125336,0.00022311354,0.018753907],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998336,0.0000471893,0.0000089512205,0.000029184295,0.00005500817,0.000026042691],"domain_scores_gemma":[0.9998192,0.000051913972,0.000023776473,0.000045231227,0.000044048018,0.000015886226],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045200333,0.0005230702,0.0006864036,0.00023866318,0.0003463056,0.0014305626,0.0008620441,0.0009184732,0.0030180127],"category_scores_gemma":[0.0011651126,0.00041217075,0.00058300694,0.00018176543,0.0010688127,0.002488225,0.0010801326,0.00090505276,0.0008141878],"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":[0.00006290789,0.000025440415,0.0005132275,0.000079911355,0.000019014127,0.000054930337,0.00009416846,0.8491316,0.0043208487,0.10531012,0.0010448723,0.039343063],"study_design_scores_gemma":[0.0000074115205,0.000030424637,0.00009702081,0.000014225132,0.000007832345,0.000014774161,0.000026636259,0.9713054,0.0014539147,0.023785517,0.0032483728,0.0000084200465],"about_ca_topic_score_codex":0.0010806323,"about_ca_topic_score_gemma":0.0008552167,"teacher_disagreement_score":0.0030180127,"about_ca_system_score_codex":0.00028459905,"about_ca_system_score_gemma":0.00043669099,"threshold_uncertainty_score":0.010096312},"labels":[],"label_agreement":null},{"id":"W2324810381","doi":"10.2514/6.2001-4246","title":"Real-time modeling and simulation of a gas-turbine engine control system","year":2001,"lang":"en","type":"article","venue":"AIAA Modeling and Simulation Technologies Conference and Exhibit","topic":"Advanced Combustion Engine Technologies","field":"Chemical 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":"Opal-Rt Technologies (Canada); McGill University","funders":"","keywords":"Gas turbines; Computer science; Automotive engineering; Control system; Environmental science; Control engineering; Engineering; Mechanical engineering; Electrical engineering","score_opus":0.020544124848757905,"score_gpt":0.24536370597384646,"score_spread":0.22481958112508857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2324810381","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":[0.2060633,0.0005004892,0.7519474,0.00044077716,0.00020942674,0.00026681507,0.000585233,0.003456776,0.036529843],"genre_scores_gemma":[0.943052,0.00033896032,0.046389554,0.000057614405,0.000020184114,0.00023040995,0.00034441263,0.00011151995,0.0094552925],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99972886,0.00007881023,0.000014107438,0.00003465635,0.000113612674,0.000029981878],"domain_scores_gemma":[0.99970067,0.00018014079,0.000025690646,0.000032111257,0.000045367382,0.000015969585],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003844643,0.000529895,0.0005725523,0.00022093368,0.0003622843,0.0009415892,0.00085230917,0.0010502401,0.0047306945],"category_scores_gemma":[0.00090197206,0.00030655242,0.0005324447,0.00018286599,0.00047805838,0.0007247536,0.0003963681,0.0008006247,0.00051793974],"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":[0.000062685176,0.000026451551,0.00019677241,0.000043228298,0.000010281476,0.000080271806,0.000052247757,0.98817796,0.0036659401,0.004245413,0.00017111347,0.003267605],"study_design_scores_gemma":[0.000015681951,0.00002468713,0.000084493964,0.0000031066982,0.0000043653736,0.000014156427,0.0000059260465,0.9968708,0.0015716658,0.0005005289,0.00090034504,0.0000043025584],"about_ca_topic_score_codex":0.008148137,"about_ca_topic_score_gemma":0.004343073,"teacher_disagreement_score":0.008148137,"about_ca_system_score_codex":0.00043727254,"about_ca_system_score_gemma":0.000791188,"threshold_uncertainty_score":0.016201437},"labels":[],"label_agreement":null},{"id":"W2325965131","doi":"10.2514/6.2006-6129","title":"Guaranteed Multimedia Services over Satellite Networks","year":2006,"lang":"en","type":"article","venue":"AIAA Modeling and Simulation Technologies Conference and Exhibit","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Communications Research Centre Canada; Canadian Space Agency; Eion (Canada)","funders":"Canadian Space Agency","keywords":"Computer science; Multimedia; Satellite; Computer network; Communications satellite; Satellite broadcasting; Telecommunications; Engineering","score_opus":0.011154030702061642,"score_gpt":0.22017416659940037,"score_spread":0.20902013589733873,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2325965131","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":[0.5468711,0.017769841,0.34998566,0.0013666528,0.0004084076,0.00016243527,0.0010624088,0.0046287165,0.077744655],"genre_scores_gemma":[0.96815854,0.001994677,0.026197502,0.00012139872,0.00008628512,0.00004438897,0.00035766544,0.000058598253,0.0029808497],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99955124,0.00011002982,0.000018223707,0.000037130976,0.00020236826,0.00008097745],"domain_scores_gemma":[0.99961853,0.00012389303,0.000059153965,0.00006876674,0.0000993639,0.000030257812],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034896636,0.0004029526,0.00032511548,0.00073853164,0.0004649404,0.000870998,0.00048524418,0.00045175268,0.0033888605],"category_scores_gemma":[0.0012158417,0.000095115036,0.00014932636,0.0012027348,0.00035229855,0.00084491447,0.00083074975,0.00037912585,0.0005504539],"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":[0.0013278075,0.00013011906,0.0054230737,0.00092479395,0.00011690602,0.0011519152,0.0005417354,0.30436015,0.11071708,0.17152198,0.019358909,0.38442558],"study_design_scores_gemma":[0.000082255676,0.00031525147,0.0025938794,0.00009083885,0.000059157108,0.00057968195,0.00031907222,0.877366,0.029649446,0.044501442,0.044398863,0.000044131873],"about_ca_topic_score_codex":0.0036618116,"about_ca_topic_score_gemma":0.0028434654,"teacher_disagreement_score":0.0036618116,"about_ca_system_score_codex":0.0010498086,"about_ca_system_score_gemma":0.00054219377,"threshold_uncertainty_score":0.011336863},"labels":[],"label_agreement":null},{"id":"W2326514069","doi":"10.2514/6.2001-4304","title":"Measure of smoothness for motion actuator travel","year":2001,"lang":"en","type":"article","venue":"AIAA Modeling and Simulation Technologies Conference and Exhibit","topic":"Effects of Vibration on Health","field":"Medicine","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":"CAE (Canada)","funders":"","keywords":"Measure (data warehouse); Smoothness; Actuator; Motion (physics); Computer science; Computer vision; Artificial intelligence; Mathematics; Mathematical analysis; Data mining","score_opus":0.06925709212423632,"score_gpt":0.3283497820137302,"score_spread":0.2590926898894939,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2326514069","genre_codex":"empirical","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":[0.58277035,0.00083772227,0.40500227,0.000240459,0.00020617008,0.00048768191,0.0014565533,0.0011139116,0.007884836],"genre_scores_gemma":[0.9183002,0.00019258172,0.07946265,0.0000655565,0.000049481627,0.00017807976,0.0005975176,0.00012597532,0.0010279064],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977805,0.0005048686,0.00016377575,0.00030186208,0.0011427554,0.00010626189],"domain_scores_gemma":[0.9905832,0.004338562,0.0017399945,0.0010374535,0.0018452142,0.00045560623],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022050678,0.0005345048,0.00048571316,0.002460766,0.0005291823,0.0009209153,0.00047262415,0.0008207924,0.0019080209],"category_scores_gemma":[0.01619221,0.00026693128,0.0004884504,0.0011162838,0.00068692846,0.0009303958,0.0009782051,0.00090207736,0.00033611318],"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":[0.00439779,0.0011043939,0.17182098,0.0013312547,0.0007415469,0.0003898365,0.0016979421,0.0532571,0.36092782,0.010003957,0.0040122797,0.39031512],"study_design_scores_gemma":[0.00028357215,0.006814181,0.57968706,0.00025505206,0.0004422256,0.0018712158,0.0014027382,0.21967599,0.16895412,0.008717308,0.0111711295,0.0007253495],"about_ca_topic_score_codex":0.0011682299,"about_ca_topic_score_gemma":0.0013467529,"teacher_disagreement_score":0.002460766,"about_ca_system_score_codex":0.00037921805,"about_ca_system_score_gemma":0.00039526663,"threshold_uncertainty_score":0.011661708},"labels":[],"label_agreement":null},{"id":"W2328837238","doi":"10.2514/6.2006-6618","title":"Simulation of Airship Dynamics","year":2006,"lang":"en","type":"article","venue":"AIAA Modeling and Simulation Technologies Conference and Exhibit","topic":"Aerospace Engineering and Energy Systems","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Aerospace engineering; Computer science; Dynamics (music); Aeronautics; Engineering; Physics; Acoustics","score_opus":0.01639837526294908,"score_gpt":0.21160730090400226,"score_spread":0.1952089256410532,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2328837238","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":[0.14726083,0.00031236978,0.76643896,0.00042121063,0.00031351548,0.00032208665,0.003503719,0.0037171813,0.07771014],"genre_scores_gemma":[0.8870089,0.0003259768,0.09219659,0.0001229075,0.00004731227,0.000469205,0.0028042798,0.00028498576,0.016739883],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998312,0.0000414725,0.000010392806,0.000027950484,0.000064346495,0.0000246597],"domain_scores_gemma":[0.99971503,0.00009913051,0.000023416664,0.00005093549,0.000080944395,0.00003065773],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028543302,0.0004306665,0.0004916724,0.00033591618,0.00041147997,0.0008404107,0.00083236373,0.00086212304,0.01328751],"category_scores_gemma":[0.0010211193,0.00028552365,0.00060858874,0.00028334177,0.00036212456,0.0007884789,0.0010766505,0.0007660365,0.0014619903],"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":[0.000026498992,0.000016739852,0.0008652088,0.000036518457,0.000013218139,0.000049797705,0.000040068302,0.9868264,0.00095359446,0.0050776172,0.00081677537,0.005277549],"study_design_scores_gemma":[0.000015139594,0.000017971375,0.00019722163,0.000006327773,0.000002817181,0.000017387767,0.000012067631,0.99470395,0.00044812966,0.0012993912,0.0032756242,0.000004013296],"about_ca_topic_score_codex":0.00882921,"about_ca_topic_score_gemma":0.0050576366,"teacher_disagreement_score":0.01328751,"about_ca_system_score_codex":0.00044018144,"about_ca_system_score_gemma":0.00074408605,"threshold_uncertainty_score":0.044451177},"labels":[],"label_agreement":null},{"id":"W2329527513","doi":"10.2514/6.2007-6471","title":"An Iterative Learning Control Algorithm for Simulator Motion System Control","year":2007,"lang":"en","type":"article","venue":"AIAA Modeling and Simulation Technologies Conference and Exhibit","topic":"Iterative Learning Control Systems","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":"Computer science; Iterative learning control; Motion control; Control (management); Motion (physics); Algorithm; Control system; Iterative method; Simulation; Artificial intelligence; Engineering; Robot","score_opus":0.01345303226479632,"score_gpt":0.24679719577674256,"score_spread":0.23334416351194623,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2329527513","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":[0.0037887585,0.00011318987,0.99370956,0.000058767793,0.000028533936,0.000055568904,0.0000061936607,0.0003891498,0.0018502895],"genre_scores_gemma":[0.6143807,0.00025224447,0.37745494,0.0001797684,0.00007202929,0.00070306775,0.00009273173,0.000101181846,0.0067633064],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99936336,0.00015388333,0.00003892532,0.00011939613,0.00024523388,0.00007920963],"domain_scores_gemma":[0.99908876,0.00043351934,0.000098817516,0.00005608025,0.00028312652,0.00003971311],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013048048,0.0009875651,0.00084819715,0.0005097465,0.00056173035,0.0007954055,0.0015889383,0.0011601157,0.0030130337],"category_scores_gemma":[0.0029044792,0.0003963352,0.0005374293,0.00044622878,0.0009404128,0.00067680905,0.0012007727,0.0014204091,0.000701767],"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":[0.00010329786,0.00006837065,0.0003482518,0.00007662819,0.00003451404,0.000057095374,0.00014723945,0.8292575,0.0031249602,0.0100722015,0.0011582981,0.15555158],"study_design_scores_gemma":[0.000013727952,0.000050681192,0.00003225486,0.000004785564,0.0000030637248,0.00001111821,0.0000033123795,0.99783176,0.00043379824,0.0010157566,0.0005950562,0.000004567022],"about_ca_topic_score_codex":0.008059964,"about_ca_topic_score_gemma":0.005245715,"teacher_disagreement_score":0.008059964,"about_ca_system_score_codex":0.0009934399,"about_ca_system_score_gemma":0.0014371969,"threshold_uncertainty_score":0.01602614},"labels":[],"label_agreement":null},{"id":"W2331059364","doi":"10.2514/6.2003-5820","title":"Real-Time Flight Control in an Emergency Landing: Sampling Rate Considerations","year":2003,"lang":"en","type":"article","venue":"AIAA Modeling and Simulation Technologies Conference and Exhibit","topic":"Aerospace and Aviation Technology","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Aeronautics; Computer science; Sampling (signal processing); Control (management); Real-time computing; Aerospace engineering; Engineering; Artificial intelligence; Telecommunications","score_opus":0.035965224289033,"score_gpt":0.2673388484154459,"score_spread":0.2313736241264129,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2331059364","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":[0.07774824,0.001141277,0.91143715,0.0010129329,0.00016585739,0.00010001169,0.000044905108,0.0003760655,0.0079736095],"genre_scores_gemma":[0.9630064,0.00047202903,0.03409082,0.00015488766,0.00010335993,0.00005384734,0.000020681922,0.00009146691,0.0020065424],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99882966,0.00032179515,0.00008506457,0.00010940073,0.0005003145,0.0001537689],"domain_scores_gemma":[0.994356,0.0037654308,0.0002932726,0.00044506087,0.0010549444,0.00008524811],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00290387,0.0006238822,0.00077024946,0.00036478214,0.00047239446,0.0016031563,0.000785206,0.0009003776,0.0030528826],"category_scores_gemma":[0.0122366985,0.00037837427,0.00037580437,0.00026227083,0.00048376533,0.0018941684,0.0006026565,0.0014363286,0.00029990645],"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":[0.0023739513,0.0002836779,0.0038263642,0.0005559549,0.00012407928,0.0004153229,0.00057942903,0.66095024,0.07414761,0.044451073,0.00159524,0.21069701],"study_design_scores_gemma":[0.000031465715,0.00014935483,0.0006532606,0.000029776653,0.0000318246,0.00008106865,0.000035562476,0.9837864,0.012442737,0.002107116,0.00063448085,0.000016866621],"about_ca_topic_score_codex":0.0032029978,"about_ca_topic_score_gemma":0.003309422,"teacher_disagreement_score":0.0032029978,"about_ca_system_score_codex":0.0005154529,"about_ca_system_score_gemma":0.00092387496,"threshold_uncertainty_score":0.015357256},"labels":[],"label_agreement":null},{"id":"W2334236368","doi":"10.2514/6.2001-4306","title":"G-cueing system tuning optimization","year":2001,"lang":"en","type":"article","venue":"AIAA Modeling and Simulation Technologies Conference and Exhibit","topic":"Aerospace and Aviation Technology","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":"CAE (Canada)","funders":"","keywords":"Process (computing); Computer science; Actuator; Set (abstract data type); Constraint (computer-aided design); Simulation; Control engineering; Artificial intelligence; Engineering","score_opus":0.02082148604766341,"score_gpt":0.22170454718671592,"score_spread":0.20088306113905252,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2334236368","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":[0.14564459,0.00042595505,0.8336699,0.00014759607,0.00004490312,0.00032263258,0.0001045055,0.0011355118,0.01850441],"genre_scores_gemma":[0.9229277,0.00009879325,0.07414326,0.00005360023,0.0000106571215,0.000109499844,0.00005112931,0.000063259526,0.002542112],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999703,0.000060157665,0.000013882682,0.00007924963,0.00007991736,0.000063841646],"domain_scores_gemma":[0.99952626,0.00024919555,0.000055068886,0.000036851885,0.00011099963,0.0000216293],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043986537,0.0007288015,0.0004697606,0.00036552935,0.00040699597,0.0007357249,0.00042659623,0.0007628295,0.0027737909],"category_scores_gemma":[0.0019120225,0.00020161225,0.00024666544,0.0003238212,0.00026601917,0.00042415498,0.00047524823,0.00044429692,0.00040714908],"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":[0.00021048656,0.000095636446,0.0007396695,0.00017387705,0.000023129234,0.00005192344,0.000121053745,0.85994256,0.02354919,0.0021229866,0.0008031475,0.112166435],"study_design_scores_gemma":[0.000043261796,0.00021564309,0.0009155466,0.000011266362,0.000016982667,0.000041224634,0.00004777528,0.98499715,0.010272703,0.0008234817,0.0025951944,0.000019712304],"about_ca_topic_score_codex":0.0047499198,"about_ca_topic_score_gemma":0.0030338475,"teacher_disagreement_score":0.0047499198,"about_ca_system_score_codex":0.0005703543,"about_ca_system_score_gemma":0.00063275534,"threshold_uncertainty_score":0.009444535},"labels":[],"label_agreement":null},{"id":"W2334478598","doi":"10.2514/6.2004-5043","title":"Enabling Inter-Vehicle Communication Modeling in MultiUAV Using the HLA","year":2004,"lang":"en","type":"article","venue":"AIAA Modeling and Simulation Technologies Conference and Exhibit","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"General Dynamics (Canada)","funders":"Air Force Research Laboratory","keywords":"Computer science","score_opus":0.25277071297922143,"score_gpt":0.4027166992726831,"score_spread":0.14994598629346167,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2334478598","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":[0.07079219,0.00008384517,0.9173794,0.00029956378,0.00007867276,0.00003959508,0.00009263677,0.0012209736,0.010013148],"genre_scores_gemma":[0.9240346,0.000118501914,0.07233381,0.00006144593,0.00001942201,0.00006241712,0.00012472222,0.00012995691,0.0031151462],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996207,0.00017292362,0.000018464052,0.000035976554,0.00008952246,0.00006246475],"domain_scores_gemma":[0.9995633,0.0001369716,0.00003621939,0.00013163892,0.00009841488,0.00003341252],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006667967,0.0002610997,0.00040835325,0.00020367073,0.0005218275,0.0012567155,0.0009736212,0.0005921549,0.0024081797],"category_scores_gemma":[0.0016063605,0.0002827071,0.00038387266,0.00030007516,0.00034114736,0.0018339928,0.0011306604,0.00090128876,0.0004678734],"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":[0.000051575116,0.000037454196,0.0013496112,0.000018166504,0.000018373037,0.000073562835,0.00012125581,0.943641,0.002958369,0.03638884,0.0006104598,0.014731332],"study_design_scores_gemma":[0.0000039021247,0.0000072292246,0.00007211958,0.000002310546,0.0000027012557,0.000008093375,0.00001945071,0.99352723,0.000956655,0.004178545,0.0012187647,0.0000029430269],"about_ca_topic_score_codex":0.008209596,"about_ca_topic_score_gemma":0.0041860207,"teacher_disagreement_score":0.008209596,"about_ca_system_score_codex":0.00047830274,"about_ca_system_score_gemma":0.0010908087,"threshold_uncertainty_score":0.016323626},"labels":[],"label_agreement":null},{"id":"W2334899099","doi":"10.2514/6.2005-6303","title":"Pre and Post Pilot Model Analysis Compared to Experimental Simulator Results.","year":2005,"lang":"en","type":"article","venue":"AIAA Modeling and Simulation Technologies Conference and Exhibit","topic":"Aerospace and Aviation Technology","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Simulation","score_opus":0.030608809710853443,"score_gpt":0.27024080755702645,"score_spread":0.239631997846173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2334899099","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":[0.865352,0.0003694832,0.08014765,0.00046922296,0.0015087723,0.0014059709,0.0074770213,0.0033313355,0.039938506],"genre_scores_gemma":[0.97744423,0.00010947668,0.010386041,0.000081197264,0.00005793186,0.0005637067,0.003921077,0.00032824045,0.0071081617],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99691796,0.00076149014,0.00024775104,0.0006211141,0.0012452396,0.0002064801],"domain_scores_gemma":[0.9827558,0.0076151714,0.0011398974,0.0024621715,0.0055816504,0.00044523168],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035743653,0.0007644697,0.00043922724,0.0009535626,0.0005739464,0.0010557646,0.00077754713,0.00042170053,0.018341575],"category_scores_gemma":[0.01781414,0.00025992683,0.000886545,0.00060468545,0.0005890673,0.0016237035,0.0009990913,0.0009880479,0.0027955703],"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":[0.014610787,0.010157902,0.19776045,0.0016168173,0.0009714911,0.0014971393,0.0049243458,0.025284676,0.22440621,0.005205249,0.060398515,0.45316646],"study_design_scores_gemma":[0.00046984982,0.028418045,0.62635934,0.00014667196,0.00065542647,0.00080824055,0.0055795196,0.08249453,0.20815513,0.0038333586,0.042695858,0.00038404975],"about_ca_topic_score_codex":0.0030396178,"about_ca_topic_score_gemma":0.0047852285,"teacher_disagreement_score":0.018341575,"about_ca_system_score_codex":0.0008598243,"about_ca_system_score_gemma":0.0008043599,"threshold_uncertainty_score":0.06135869},"labels":[],"label_agreement":null},{"id":"W2348875849","doi":"10.2514/6.2002-5042","title":"Spacecraft Attitude Determination by Adaptive Kalman Filtering","year":2002,"lang":"en","type":"article","venue":"AIAA Modeling and Simulation Technologies Conference and Exhibit","topic":"Inertial Sensor and Navigation","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Space Agency","funders":"","keywords":"Kalman filter; Spacecraft; Computer science; Fast Kalman filter; Extended Kalman filter; Control theory (sociology); Computer vision; Artificial intelligence; Aerospace engineering; Engineering","score_opus":0.03308196711063766,"score_gpt":0.23197768101243912,"score_spread":0.19889571390180147,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2348875849","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":[0.009179859,0.00012337822,0.9880195,0.000049551174,0.00005434161,0.000011791635,0.000022030896,0.0004432941,0.0020961969],"genre_scores_gemma":[0.6267929,0.00027199517,0.3663116,0.00009762865,0.000068153044,0.00007526428,0.00017958404,0.0001484804,0.0060544703],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99957865,0.0000910571,0.000019963829,0.000099406476,0.00017307853,0.000037832517],"domain_scores_gemma":[0.99941766,0.00020566645,0.000055401062,0.000106391286,0.00020134488,0.000013502883],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044674508,0.00035520826,0.00044271513,0.0004266664,0.00044074218,0.00069533946,0.00058523694,0.00053291867,0.001722026],"category_scores_gemma":[0.0023040287,0.0003909913,0.00036552624,0.0005120575,0.0003725828,0.0010405167,0.0007593025,0.00079137087,0.00082542625],"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":[0.0003555331,0.0000724987,0.0027779948,0.000116222756,0.000120729404,0.00006739813,0.0001858517,0.45073137,0.03355377,0.019704256,0.0033846712,0.48892972],"study_design_scores_gemma":[0.000020573076,0.000029777844,0.00087648927,0.0000079313695,0.000013500377,0.000024081533,0.000011456485,0.98613757,0.00511515,0.005396143,0.0023499227,0.000017352824],"about_ca_topic_score_codex":0.006308037,"about_ca_topic_score_gemma":0.005538276,"teacher_disagreement_score":0.006308037,"about_ca_system_score_codex":0.00032662536,"about_ca_system_score_gemma":0.0005540966,"threshold_uncertainty_score":0.012542665},"labels":[],"label_agreement":null},{"id":"W2613494637","doi":"10.2514/6.2006-6253","title":"The Effect of Jerk and Acceleration on the Perception of Motion Strength","year":2006,"lang":"en","type":"article","venue":"AIAA Modeling and Simulation Technologies Conference and Exhibit","topic":"Aerospace and Aviation Technology","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":"University of Toronto","funders":"","keywords":"Jerk; Acceleration; Perception; Motion (physics); Computer science; Physics; Artificial intelligence; Psychology; Classical mechanics","score_opus":0.012589195281770176,"score_gpt":0.220649936503789,"score_spread":0.2080607412220188,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2613494637","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":[0.99687827,0.00006604992,0.0015590785,0.000016455837,0.000019858317,0.00001723577,0.00002852649,0.00002530003,0.0013891548],"genre_scores_gemma":[0.9981231,0.000049507315,0.0014357071,0.000023714234,0.000012407461,0.000009491471,0.000036049158,0.000010396454,0.0002995653],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988751,0.0003664316,0.00007703889,0.0001519652,0.0004514723,0.00007804645],"domain_scores_gemma":[0.9896096,0.007881684,0.00094035704,0.00038825333,0.00053735333,0.0006427238],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012428624,0.00040096312,0.00023514747,0.0003914618,0.00012862241,0.0006912246,0.00017738213,0.00032343247,0.0025417034],"category_scores_gemma":[0.015031342,0.00027394306,0.00027609078,0.00011095113,0.00043243956,0.00049120653,0.0006100708,0.0004175263,0.00016462532],"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":[0.015506921,0.0007885467,0.08502985,0.0007575175,0.00041422865,0.0006994636,0.0032480557,0.0038222682,0.82044196,0.000577469,0.00034371277,0.068370074],"study_design_scores_gemma":[0.00030001052,0.013205469,0.93258214,0.00006543998,0.00021055197,0.0011147934,0.0014232761,0.008243687,0.04120577,0.0005173839,0.0009622546,0.00016921182],"about_ca_topic_score_codex":0.00027021495,"about_ca_topic_score_gemma":0.00030404376,"teacher_disagreement_score":0.0025417034,"about_ca_system_score_codex":0.00012724454,"about_ca_system_score_gemma":0.00011526725,"threshold_uncertainty_score":0.008502781},"labels":[],"label_agreement":null},{"id":"W2613917224","doi":"10.2514/6.2006-6811","title":"Ground Dynamics Model Validation by Use of Landing Flight Test Data","year":2006,"lang":"en","type":"article","venue":"AIAA Modeling and Simulation Technologies Conference and Exhibit","topic":"Dynamics and Control of Mechanical Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Computer science; Flight test; Model validation; Test (biology); Data modeling; Aerospace engineering; Aeronautics; Remote sensing; Simulation; Geology; Engineering; Data science; Database","score_opus":0.04133829863488144,"score_gpt":0.23487841102147694,"score_spread":0.1935401123865955,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2613917224","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":[0.9644516,0.000033272274,0.029109133,0.00010180887,0.00004951199,0.0000954638,0.0016986167,0.0012803356,0.003180184],"genre_scores_gemma":[0.9922975,0.000016686194,0.0053211953,0.000017243836,0.0000023490195,0.000059712944,0.0015670193,0.00008653295,0.0006317849],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996431,0.00009813463,0.000039462302,0.000057684818,0.00010253738,0.00005921423],"domain_scores_gemma":[0.9984584,0.00056981243,0.000115492825,0.00032862587,0.0004855298,0.000042235388],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008538703,0.0008903451,0.0005018232,0.0007454516,0.00067485264,0.0006322032,0.0010079229,0.0010208698,0.0027422104],"category_scores_gemma":[0.0026053267,0.00041254042,0.00060936215,0.000385482,0.0004045908,0.0009294221,0.00044499885,0.000664726,0.00071582774],"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":[0.00047835364,0.00048233196,0.012096764,0.00008946915,0.000068229616,0.00025995192,0.00013058743,0.9460973,0.022873014,0.0006109077,0.0013376742,0.015475381],"study_design_scores_gemma":[0.00010943467,0.00027325616,0.005260525,0.000010928161,0.000022616938,0.000034437442,0.00005348124,0.9772471,0.016224515,0.0001694613,0.0005800196,0.000014266364],"about_ca_topic_score_codex":0.015361504,"about_ca_topic_score_gemma":0.011180287,"teacher_disagreement_score":0.015361504,"about_ca_system_score_codex":0.0005495813,"about_ca_system_score_gemma":0.0007737712,"threshold_uncertainty_score":0.030544221},"labels":[],"label_agreement":null}]}