{"meta":{"query_hash":"a451bc976eff","filters":{"venue":"MEJ Mansoura Engineering Journal"},"cohort_total":8,"direct_labels_cover":0,"predictions_cover":8,"exported":8,"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/a451bc976eff","api":"https://metacan.xera.ac/api/v1/cohort?venue=MEJ+Mansoura+Engineering+Journal"},"results":[{"id":"W3121127686","doi":"10.21608/bfemu.2021.140384","title":"The Efficiency of Window Design and Orientation on Long-Cycle Passive Solar Heating Demands in Residential Buildings.(Dept.A)","year":2021,"lang":"en","type":"article","venue":"MEJ Mansoura Engineering Journal","topic":"Building Energy and Comfort Optimization","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":"Upgrade; Window (computing); Window of opportunity; Environmental science; Cost reduction; Engineering; Computer science; Aerospace engineering; Business","score_opus":0.004359109120581806,"score_gpt":0.18928435229419835,"score_spread":0.18492524317361655,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121127686","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5162509,0.0004173455,0.4829227,0.000034367124,0.00027711273,0.000040417184,3.2527396e-7,0.000034104803,0.000022696651],"genre_scores_gemma":[0.9904703,0.00033134318,0.009035428,0.0000071883837,0.0001008157,0.0000065894383,0.0000017990523,0.000028719342,0.000017842473],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99908024,0.00003606779,0.00031673186,0.00012072377,0.00021027315,0.00023595235],"domain_scores_gemma":[0.9995741,0.000141271,0.00006208528,0.00010977346,0.00005751003,0.000055240627],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003609565,0.00013365208,0.00014699166,0.00013608443,0.00016312231,0.0001154884,0.000104759085,0.00006886613,0.0000065300483],"category_scores_gemma":[0.00009450628,0.00011816784,0.0000430876,0.00028912895,0.000016713677,0.00015403185,0.000020751659,0.00032561694,2.8082923e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015408808,0.000011636597,0.00063932536,0.00002605612,0.00002584133,0.000036161226,0.00022499144,0.9926453,0.0037073437,0.00033148623,0.00001931197,0.0023170866],"study_design_scores_gemma":[0.0005916186,0.000061056715,0.0053509227,0.0002573605,0.000020399155,0.00016378383,0.00012483039,0.9245229,0.06854602,0.00013262591,0.000053297987,0.00017522565],"about_ca_topic_score_codex":0.0000033745823,"about_ca_topic_score_gemma":0.0000049899136,"teacher_disagreement_score":0.47421935,"about_ca_system_score_codex":0.00006828654,"about_ca_system_score_gemma":0.000024588113,"threshold_uncertainty_score":0.48187447},"labels":[],"label_agreement":null},{"id":"W3131814766","doi":"10.21608/bfemu.2021.146293","title":"A Diagnosis Model For Improving The Competitiveness of Small and Medium Manufacturing Enterprises.(Dept.M)","year":2021,"lang":"en","type":"article","venue":"MEJ Mansoura Engineering Journal","topic":"Quality and Management Systems","field":"Business, Management and Accounting","cited_by":1,"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":"DEPT; Business; Industrial organization; Manufacturing engineering; Chemistry; Engineering; Stereochemistry","score_opus":0.020487115785223088,"score_gpt":0.20218744592506324,"score_spread":0.18170033013984016,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3131814766","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.46998033,0.0004390243,0.5273719,0.0011448772,0.00061413395,0.00024483856,0.0000054065135,0.000051825413,0.00014766211],"genre_scores_gemma":[0.9967066,0.000061457125,0.0018773063,0.00028316732,0.00078567787,0.000050771887,0.0000055206688,0.000034096225,0.00019538116],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99893665,0.000013500132,0.0003825766,0.0001847811,0.00020327317,0.00027923964],"domain_scores_gemma":[0.9993062,0.00014422838,0.00023106532,0.00016829214,0.00012833862,0.00002186497],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007965057,0.00017605686,0.00025981793,0.00015263418,0.00021265712,0.000372659,0.00023309638,0.000046323323,0.000029595394],"category_scores_gemma":[0.00014247802,0.00014145867,0.0001307593,0.000099756755,0.000025696689,0.00039670235,0.00017864208,0.00019035567,0.000002035006],"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":[0.00027621552,0.000525895,0.06693485,0.023482421,0.001327343,0.0002876216,0.0029286218,0.834156,0.015651908,0.024874117,0.001220696,0.028334346],"study_design_scores_gemma":[0.0023237036,0.000021883678,0.03017708,0.0010638902,0.00048519767,0.000110655164,0.0028286155,0.92594814,0.008929701,0.0010510217,0.026337108,0.0007230143],"about_ca_topic_score_codex":0.000046865676,"about_ca_topic_score_gemma":0.000033635617,"teacher_disagreement_score":0.5267263,"about_ca_system_score_codex":0.00002545183,"about_ca_system_score_gemma":0.000017720447,"threshold_uncertainty_score":0.5768517},"labels":[],"label_agreement":null},{"id":"W3133450490","doi":"10.21608/bfemu.2021.146280","title":"A Biometric System for Personal Identification Using Modular Neural Nets.(Dept.E)","year":2021,"lang":"en","type":"article","venue":"MEJ Mansoura Engineering Journal","topic":"Neural Networks and Applications","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":"University of Waterloo","funders":"","keywords":"Biometrics; Modular design; Identification (biology); Computer science; DEPT; Artificial neural network; Artificial intelligence; Pattern recognition (psychology); Medicine; Biology; Botany","score_opus":0.021773473489749277,"score_gpt":0.23408629702217196,"score_spread":0.21231282353242267,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3133450490","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18451203,0.0006404516,0.8133871,0.00046060488,0.00078924804,0.00009631134,0.0000038265307,0.00010549787,0.0000049047276],"genre_scores_gemma":[0.9447354,0.000012992518,0.054645434,0.00003722598,0.00046171306,0.000016118354,0.0000040352334,0.000020113916,0.000066965404],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99878705,0.00002574881,0.00032797875,0.00027372778,0.00025949173,0.00032598313],"domain_scores_gemma":[0.99925107,0.000064027074,0.00012522524,0.00022228755,0.00019426021,0.00014312592],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002863556,0.0001421835,0.00016092688,0.00027124048,0.0002957202,0.00061764714,0.00038799108,0.00005006699,0.000003886734],"category_scores_gemma":[0.000032764263,0.00014150386,0.00015552308,0.0011308014,0.000008132209,0.00037757793,0.00006921054,0.00020646818,0.00000478252],"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":[0.0000065798354,0.00008838602,0.00020769035,0.00020696649,0.00012075506,0.00018378207,0.0004350928,0.5936875,0.36630303,0.0060011903,0.00060153217,0.03215751],"study_design_scores_gemma":[0.00021764995,0.000013900247,0.00086484296,0.000044506916,0.000018375009,0.0014955784,0.000039837054,0.98996454,0.005579562,0.000037600756,0.0015658127,0.0001577935],"about_ca_topic_score_codex":0.0000018775675,"about_ca_topic_score_gemma":1.9549793e-7,"teacher_disagreement_score":0.7602234,"about_ca_system_score_codex":0.00012285671,"about_ca_system_score_gemma":0.00004483205,"threshold_uncertainty_score":0.5955986},"labels":[],"label_agreement":null},{"id":"W4385984791","doi":"10.58491/2735-4202.3066","title":"Integrated Water Quality Assessment in Damietta Branch Intakes at Dakahlia Governorate, Egypt","year":2023,"lang":"en","type":"article","venue":"MEJ Mansoura Engineering Journal","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":1,"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":"Water quality; Biochemical oxygen demand; Chemical oxygen demand; Alkalinity; Total dissolved solids; Turbidity; Environmental science; Environmental engineering; Hydrology (agriculture); Wastewater; Chemistry; Biology; Ecology; Engineering","score_opus":0.031657396992603254,"score_gpt":0.27876606357699285,"score_spread":0.2471086665843896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385984791","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9886477,0.000013104347,0.007017259,0.0020255155,0.0006826087,0.00013916315,0.000021212734,0.00015465645,0.0012987715],"genre_scores_gemma":[0.9953789,0.00003783694,0.0011129217,0.0001517457,0.0000956466,0.00001714201,0.000044557404,0.000031720585,0.0031294879],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9975224,0.00021382715,0.0006522157,0.00030894886,0.000633619,0.00066899485],"domain_scores_gemma":[0.9993485,0.000060613205,0.00009951995,0.00026823411,0.000013888695,0.0002092353],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0020561307,0.00026453272,0.00029458987,0.00015179264,0.0001911165,0.00016168715,0.0003611332,0.00010847269,0.0031335005],"category_scores_gemma":[0.00003901284,0.00020108919,0.000108536035,0.0004999445,0.0000541226,0.00038021748,0.00025615303,0.0007040812,0.0011812431],"study_design_candidate":"observational","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":[0.00008140267,0.0002424545,0.17912696,0.000104607505,0.000108310065,0.00030622227,0.0046288264,0.49474382,0.2969839,0.00037220385,0.018944219,0.00435708],"study_design_scores_gemma":[0.0012901789,0.00008472196,0.8713236,0.00010247678,0.00001671907,0.0001198044,0.00031759162,0.021480605,0.017022477,0.00034838147,0.08723101,0.00066243234],"about_ca_topic_score_codex":0.00032847107,"about_ca_topic_score_gemma":0.00018309502,"teacher_disagreement_score":0.6921966,"about_ca_system_score_codex":0.0012574133,"about_ca_system_score_gemma":0.000020281612,"threshold_uncertainty_score":0.9995965},"labels":[],"label_agreement":null},{"id":"W4386030942","doi":"10.58491/2735-4202.3061","title":"Deep Learning Techniques for Efficient Evaluation of Asphalt Pavement Condition","year":2023,"lang":"en","type":"article","venue":"MEJ Mansoura Engineering Journal","topic":"Infrastructure Maintenance and Monitoring","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":"3v Geomatics (Canada); University of Calgary; University of Alberta; Queen's University","funders":"","keywords":"Asphalt; Process (computing); Deep learning; Computer science; Artificial neural network; Artificial intelligence; Machine learning; Engineering; Materials science","score_opus":0.011370576287546097,"score_gpt":0.25395614032463015,"score_spread":0.24258556403708406,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386030942","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.44520998,0.00021124024,0.55248046,0.000016865019,0.0012367177,0.00028314124,0.0000027346534,0.00044442638,0.00011439736],"genre_scores_gemma":[0.9931562,0.00006122057,0.0061738933,0.0000026157668,0.0004606666,0.00007007852,0.000014028916,0.000045740373,0.000015571466],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99889374,0.00001772637,0.0003105604,0.00009280161,0.0003762108,0.00030896624],"domain_scores_gemma":[0.99952054,0.00004860105,0.00006601188,0.00008432293,0.00022464395,0.000055865632],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00114439,0.00014161793,0.00016231633,0.00030354,0.00008890812,0.00003638705,0.00009575511,0.00006476662,0.000023440629],"category_scores_gemma":[0.00008944204,0.00013938565,0.00009059094,0.00020963649,0.000008356052,0.00007236259,0.000013460699,0.00025531772,0.0000041645344],"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":[0.000002826527,0.0000032840028,0.00005805108,0.00010193913,0.00004220471,0.0000024392014,0.00027982198,0.93882763,0.039988063,0.00009074596,0.00011123252,0.020491749],"study_design_scores_gemma":[0.0003753858,0.00005446054,0.0018198556,0.00016544989,0.00005682296,0.000025323325,0.0001930512,0.88658524,0.10853167,0.00014406983,0.0018983742,0.00015032954],"about_ca_topic_score_codex":5.484604e-7,"about_ca_topic_score_gemma":1.9403046e-7,"teacher_disagreement_score":0.5479462,"about_ca_system_score_codex":0.00019353021,"about_ca_system_score_gemma":0.0000138774285,"threshold_uncertainty_score":0.56839824},"labels":[],"label_agreement":null},{"id":"W4389436185","doi":"10.58491/2735-4202.3165","title":"Analysis of Sustainable Environmental Design strategies of Tripoli City Center, Libya","year":2016,"lang":"en","type":"article","venue":"MEJ Mansoura Engineering Journal","topic":"Urban and Rural Development Challenges","field":"Social Sciences","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":"Sustainability; Abu dhabi; Sustainable city; Environmental planning; Sustainable development; Urban sustainability; Business; Geography; Political science","score_opus":0.020849999310264454,"score_gpt":0.2342224152905159,"score_spread":0.21337241598025145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389436185","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85762924,0.0010300376,0.13728374,0.0009128986,0.0003200791,0.0001951996,0.000017401464,0.000057648595,0.002553732],"genre_scores_gemma":[0.9956069,0.0014582936,0.0011846208,0.0000026970322,0.000070350936,0.0000017137329,7.4619857e-7,0.00000845106,0.0016662355],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9988201,0.000081418875,0.0003051225,0.000099076766,0.00036047006,0.00033380673],"domain_scores_gemma":[0.99948686,0.000114903094,0.00015365946,0.000086853994,0.000041449985,0.00011625922],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000698819,0.000107219705,0.00026334485,0.00037658296,0.0001273184,0.00003901334,0.00023412594,0.000064681226,0.0004501062],"category_scores_gemma":[0.000059134767,0.00007586559,0.000156244,0.0003034324,0.00010624152,0.00032307618,0.000029189854,0.000095358766,0.0000018360505],"study_design_candidate":"observational","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":[0.0007381654,0.0028188312,0.2418198,0.00060889544,0.02180092,0.0007281612,0.17248876,0.10382548,0.11655407,0.27564475,0.006146281,0.056825884],"study_design_scores_gemma":[0.005698351,0.0008450657,0.6665197,0.0007462633,0.0023997999,0.00005554224,0.19367899,0.0023709666,0.031143771,0.0040313974,0.09033815,0.0021720165],"about_ca_topic_score_codex":0.00005217445,"about_ca_topic_score_gemma":0.000011094081,"teacher_disagreement_score":0.4246999,"about_ca_system_score_codex":0.00015145799,"about_ca_system_score_gemma":0.00008812563,"threshold_uncertainty_score":0.49283472},"labels":[],"label_agreement":null},{"id":"W4408346252","doi":"10.58491/2735-4202.3255","title":"Enhance the Design of Low-cost Fast Charging Battery Systems for Electric Mobility Systems","year":2025,"lang":"en","type":"article","venue":"MEJ Mansoura Engineering Journal","topic":"Advanced Battery Technologies Research","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":"BC Hydro (Canada)","funders":"","keywords":"Battery (electricity); Automotive engineering; Computer science; Electrical engineering; Engineering; Physics; Power (physics)","score_opus":0.012774668639399186,"score_gpt":0.2483620528665941,"score_spread":0.2355873842271949,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408346252","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03494231,0.0051936666,0.9569881,0.00008635558,0.0012927856,0.0010646739,0.00001494098,0.0003713183,0.0000458622],"genre_scores_gemma":[0.9971768,0.0006118653,0.0014079402,0.000007130541,0.00017206115,0.0004066675,0.0000019280392,0.000064318774,0.00015124843],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99804705,0.0000592218,0.000644081,0.00022421687,0.0003110952,0.00071434956],"domain_scores_gemma":[0.99847203,0.00068289024,0.00010153549,0.0004927778,0.00018272079,0.000068062414],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011118382,0.0002922168,0.0004359356,0.0004950132,0.0001651578,0.00017111792,0.0007798126,0.0001421981,0.0000046407195],"category_scores_gemma":[0.00025949522,0.00023349591,0.00011718107,0.0007101452,0.000038061353,0.00020276009,0.000063798994,0.0008383273,0.0000045733027],"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":[0.000016760836,0.000015631864,0.000057993286,0.0010225306,0.00011789182,0.000006553158,0.000042548538,0.9493508,0.045781456,0.00015738679,0.00079105055,0.0026394364],"study_design_scores_gemma":[0.00028553477,0.000037435457,0.00020812712,0.00061755884,0.00002218883,0.00007744718,0.00018048752,0.96248674,0.033792656,0.000027226433,0.0020423895,0.00022219057],"about_ca_topic_score_codex":0.0000029214914,"about_ca_topic_score_gemma":1.5618173e-7,"teacher_disagreement_score":0.96223456,"about_ca_system_score_codex":0.0004097611,"about_ca_system_score_gemma":0.000044597604,"threshold_uncertainty_score":0.9521687},"labels":[],"label_agreement":null},{"id":"W4415763118","doi":"10.58491/2735-4202.3328","title":"Enhancing Concrete Self-Healing Using Wastewater Bacteria Impregnated in Pumice Lightweight Aggregates","year":2025,"lang":"en","type":"article","venue":"MEJ Mansoura Engineering Journal","topic":"Microbial Applications in Construction Materials","field":"Environmental 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":"Université Laval","funders":"","keywords":"Wastewater; Pumice; Compressive strength; Sewage; Sewage treatment","score_opus":0.004379259427699936,"score_gpt":0.20797417577324798,"score_spread":0.20359491634554805,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415763118","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98520166,0.00013435111,0.0131964255,0.00013297834,0.00086811365,0.0001762418,0.000003685682,0.00010830823,0.00017825843],"genre_scores_gemma":[0.91429657,0.00007859564,0.085252084,0.000054957556,0.00013826363,0.00001132037,0.0000029457683,0.000032285807,0.00013295701],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99849296,0.000061518855,0.0006052002,0.00027584037,0.00014837444,0.00041612866],"domain_scores_gemma":[0.99947584,0.000050427418,0.00014864242,0.00021543367,0.00001998384,0.000089678564],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005499286,0.00021787315,0.00025383002,0.00023221344,0.00018129025,0.00020569516,0.00030523556,0.000112872454,0.0010213915],"category_scores_gemma":[0.000039682847,0.00021238998,0.0000591574,0.0004462258,0.000038661776,0.00031178867,0.00015863004,0.00032083844,0.00006681139],"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":[0.000007764083,0.0000049830765,0.0010015833,0.00004154748,0.000022861412,0.000012096754,0.00020217815,0.018030057,0.9803337,0.00003488591,0.000039188108,0.00026918238],"study_design_scores_gemma":[0.00063995604,0.000012858932,0.0016204027,0.00051983754,0.00004170032,0.00045508938,0.00007175049,0.01893125,0.9659773,0.00011467701,0.011230801,0.00038435523],"about_ca_topic_score_codex":0.00005766553,"about_ca_topic_score_gemma":0.000006590028,"teacher_disagreement_score":0.07205566,"about_ca_system_score_codex":0.00054078986,"about_ca_system_score_gemma":0.000026584341,"threshold_uncertainty_score":0.9998918},"labels":[],"label_agreement":null}]}