{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":8,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":8,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"1fe516d049e3","filters":{"venue":"National Institute of Standards and Technology (NIST)"}},"results":[{"id":"W6906843439","doi":"10.18434/mds2-2382","title":"Biospheric CO2 surface flux estimates from the Vegetation Photosynthesis & Respiration Model (VPRM) in the eastern USA and Canada: November 2016 to December 2021","year":2021,"lang":"en","type":"dataset","venue":"National Institute of Standards and Technology (NIST)","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Vegetation (pathology); Flux (metallurgy); Photosynthesis; Respiration; Biosphere; Carbon flux; Atmosphere (unit); Transpiration","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.01756434166003945,"gpt":0.2763934660263414,"spread":0.258829124366302,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006805316,0.002328605,0.00134396,0.003164691,0.001261045,0.001506715,0.003123525,0.001685349,0.01194724],"category_scores_gemma":[0.002987704,0.0008080104,0.001556482,0.007776712,0.0005527036,0.0009435878,0.001145016,0.001443897,0.01376576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007290561,"about_ca_system_score_gemma":0.0120926,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9179407,"about_ca_topic_score_gemma":0.9350398,"domain_scores_codex":[0.9994742,0.00003054398,0.00003960617,0.0001093881,0.0002030108,0.0001432473],"domain_scores_gemma":[0.9978918,0.0001829467,0.0001149228,0.0002313797,0.001417615,0.0001613075],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001002359,0.00003702978,0.004811582,0.0006060788,0.0001257633,0.00005291791,0.00004809609,0.003481621,0.0001738661,0.0005329426,0.9862657,0.00376408],"study_design_scores_gemma":[0.0004113567,0.00001888008,0.06552601,0.0006369486,0.0001270095,0.0000872823,0.0002926532,0.005130705,0.001113035,0.001411976,0.9251102,0.0001339673],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000525687,0.00006466917,0.00003626214,0.00004027324,0.00001468894,0.000004467597,0.9988678,0.00014388,0.000302302],"genre_scores_gemma":[0.001271232,0.00007943433,0.0001447359,0.0000202023,0.000003966912,0.00001721565,0.9979293,0.00002878312,0.0005050535],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08205926,"threshold_uncertainty_score":0.165085,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W6906622769","doi":"10.18434/m32212","title":"SHREC'10 Track: Non-rigid 3D Shape Retrieval","year":2010,"lang":"en","type":"dataset","venue":"National Institute of Standards and Technology (NIST)","topic":"Optimization and Search Problems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Benchmark (surveying); Object (grammar); Polygon mesh; Class (philosophy); ASCII; Task (project management); 3d model; Pattern recognition (psychology)","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.01436976437204489,"gpt":0.3028795821873874,"spread":0.2885098178153425,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006784439,0.005982612,0.006233308,0.00520294,0.002219245,0.005661935,0.01123835,0.004712629,0.0350232],"category_scores_gemma":[0.01085166,0.0010978,0.00391345,0.004249652,0.001073936,0.006363755,0.005553368,0.00375137,0.03729193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003395586,"about_ca_system_score_gemma":0.004010485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05294171,"about_ca_topic_score_gemma":0.06820305,"domain_scores_codex":[0.9920079,0.0009252848,0.0004067939,0.001624161,0.004389578,0.0006463751],"domain_scores_gemma":[0.992246,0.001195004,0.0001941138,0.002882643,0.002795243,0.0006871307],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005983819,0.0007093326,0.001037063,0.0009234834,0.000340611,0.0001888892,0.00006635101,0.004241504,0.008679126,0.001314076,0.7589037,0.2229974],"study_design_scores_gemma":[0.001426143,0.002976722,0.01313666,0.0004901208,0.0004230545,0.002077155,0.0006565537,0.2497093,0.0537944,0.00628129,0.6687136,0.0003151258],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.07746974,0.02292103,0.2304415,0.003727774,0.0134071,0.01061271,0.3747459,0.1769033,0.08977094],"genre_scores_gemma":[0.02616503,0.002349577,0.1175108,0.0008037898,0.0003422003,0.001333538,0.8011187,0.002801914,0.04757443],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05294171,"threshold_uncertainty_score":0.1171643,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W7083179284","doi":"10.18434/mds2-3172","title":"JARVIS-Leaderboard: Large Scale Benchmark of Materials Design Methods","year":2024,"lang":"en","type":"dataset","venue":"National Institute of Standards and Technology (NIST)","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Scale (ratio); Benchmark (surveying); Design methods; Stability (learning theory); Context (archaeology)","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.01982016710292146,"gpt":0.3245723505298443,"spread":0.3047521834269228,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003409283,0.005842265,0.002135937,0.005438958,0.001483197,0.003002934,0.007608127,0.004933755,0.03674486],"category_scores_gemma":[0.01362109,0.001339486,0.003632242,0.005733391,0.0008125048,0.001887467,0.002516295,0.002925765,0.04992159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002370308,"about_ca_system_score_gemma":0.004041955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02842815,"about_ca_topic_score_gemma":0.06234431,"domain_scores_codex":[0.9966857,0.0008372823,0.0003389094,0.000762927,0.00106136,0.000313933],"domain_scores_gemma":[0.9933444,0.002826441,0.0003742396,0.001686764,0.001369632,0.0003985825],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001586935,0.0001146479,0.000805169,0.001139264,0.0001041133,0.00002922796,0.00002114015,0.003238719,0.0003002462,0.000979139,0.9871222,0.005987369],"study_design_scores_gemma":[0.001885116,0.0001496232,0.004900231,0.0006412657,0.0001874628,0.0001200076,0.0001411835,0.017031,0.003487615,0.009972788,0.961354,0.0001296032],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008584345,0.0002837388,0.001169279,0.0001740522,0.00008992953,0.0000734798,0.9901416,0.005391346,0.00181819],"genre_scores_gemma":[0.00093079,0.00009088498,0.003108202,0.00008189229,0.000009679089,0.0001611702,0.9946036,0.0003563045,0.0006574428],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03674486,"threshold_uncertainty_score":0.1229238,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W7033348993","doi":"","title":"Portrait of Winnie Wong Ng","year":2004,"lang":"en","type":"other","venue":"National Institute of Standards and Technology (NIST)","topic":"Academic Publishing and Open Access","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Portrait; NIST; Research data; Marie curie; Research centre","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.03882221861667934,"gpt":0.3890284755444159,"spread":0.3502062569277365,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000897468,0.0006356055,0.0002949582,0.001024858,0.002983209,0.004117357,0.001137472,0.002002695,0.1377147],"category_scores_gemma":[0.002107739,0.0002832653,0.0002499741,0.00129314,0.0008393875,0.00363621,0.002129603,0.003555235,0.09871217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002805376,"about_ca_system_score_gemma":0.00370395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01293072,"about_ca_topic_score_gemma":0.02101115,"domain_scores_codex":[0.9992852,0.0001135161,0.000029336,0.0001550295,0.0003212509,0.00009571267],"domain_scores_gemma":[0.9991553,0.0001115315,0.00002974445,0.00004573758,0.0003426015,0.000315122],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000005436008,0.000008833563,0.00004525328,0.0000162442,3.841731e-7,0.00006615336,0.00007098886,0.0000216145,0.00005768282,0.006116748,0.9737614,0.01982912],"study_design_scores_gemma":[4.464537e-7,0.000001506867,0.0000323337,0.000012837,1.292131e-7,0.00004024102,0.00004291821,0.000007882225,0.00001444253,0.0003982821,0.999448,0.000001084662],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001020096,0.01630283,0.002556877,0.1806515,0.03940687,0.0001401667,0.001260558,0.0005088956,0.7581522],"genre_scores_gemma":[0.001852633,0.004567495,0.0006224004,0.01427752,0.001498666,0.00004653701,0.0002137875,0.0001379349,0.976783],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1377147,"threshold_uncertainty_score":0.4607015,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W6962867714","doi":"10.18434/m32215","title":"SHREC'11 Track: Shape Retrieval on Non-rigid 3D Watertight Meshes","year":2011,"lang":"en","type":"dataset","venue":"National Institute of Standards and Technology (NIST)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Polygon mesh; Object (grammar); ASCII; 3d model; Software; Task (project management); File format; Window (computing)","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.02075585628647719,"gpt":0.2941478954408429,"spread":0.2733920391543657,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004553673,0.004612678,0.005291615,0.00577889,0.001937251,0.004727553,0.009144913,0.004419022,0.02424704],"category_scores_gemma":[0.01089073,0.001029287,0.004026955,0.004663462,0.0009502251,0.006775535,0.004985069,0.002685991,0.01986013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002457574,"about_ca_system_score_gemma":0.002610727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03785316,"about_ca_topic_score_gemma":0.04879742,"domain_scores_codex":[0.993984,0.0006464338,0.0003644847,0.0012773,0.003246916,0.0004808474],"domain_scores_gemma":[0.9935591,0.001424637,0.0001838475,0.002414323,0.001955978,0.0004621923],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00094501,0.0008728019,0.002004379,0.001536269,0.0005422593,0.0002777104,0.0001256326,0.01301692,0.01410857,0.002045936,0.6028937,0.3616307],"study_design_scores_gemma":[0.001433623,0.003028317,0.01500986,0.0005608303,0.0004663148,0.002037599,0.0007546197,0.4856116,0.06083731,0.00707869,0.4228527,0.0003285068],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"dataset","genre_scores_codex":[0.1473117,0.02295791,0.2779603,0.002841854,0.009127472,0.009001601,0.2671544,0.1843234,0.07932135],"genre_scores_gemma":[0.05092813,0.003129256,0.2027096,0.000957519,0.0004184351,0.001471399,0.6883958,0.003590142,0.04839972],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.03785316,"threshold_uncertainty_score":0.08111447,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W6993040193","doi":"","title":"NBS frequency measurement apparatus","year":2001,"lang":"en","type":"other","venue":"National Institute of Standards and Technology (NIST)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Research council; Joint (building); National standard; Units of measurement","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.02557805139086427,"gpt":0.2953066939609614,"spread":0.2697286425700972,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012786,0.0008096035,0.0009585667,0.002680358,0.001952905,0.00104117,0.002196451,0.001079794,0.06159638],"category_scores_gemma":[0.002298492,0.0007566373,0.000352596,0.001673647,0.0005842419,0.001012585,0.001272451,0.00147159,0.0496281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001652441,"about_ca_system_score_gemma":0.001847695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006006112,"about_ca_topic_score_gemma":0.009955012,"domain_scores_codex":[0.9973949,0.0001210772,0.0001301861,0.000409057,0.001824628,0.0001200684],"domain_scores_gemma":[0.9974518,0.0001504994,0.00009931954,0.000481021,0.00173234,0.00008503599],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000632931,0.0001747647,0.005211776,0.0009177878,0.00004318598,0.0002197044,0.0006179718,0.0006777694,0.4355946,0.03162453,0.3568892,0.1673958],"study_design_scores_gemma":[0.00007123676,0.0001078853,0.005208062,0.000131275,0.00004296395,0.0004114268,0.0001817608,0.002493152,0.1363572,0.001324104,0.8536128,0.00005808888],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.05488766,0.003194486,0.3252223,0.001711502,0.003983622,0.003075781,0.03766527,0.02591902,0.5443404],"genre_scores_gemma":[0.1898226,0.003206045,0.2189796,0.0023121,0.0005256007,0.005686035,0.04261674,0.002989015,0.5338623],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.06159638,"threshold_uncertainty_score":0.2060604,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W7024022529","doi":"","title":"Portrait of Geoffrey J.C. Frohnsdorff","year":2002,"lang":"en","type":"other","venue":"National Institute of Standards and Technology (NIST)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Tribute; Portrait; Exhibition; George (robot); Research council; Corporation","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.01327463848930052,"gpt":0.2777393521061882,"spread":0.2644647136168877,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008661015,0.0009835501,0.0004182401,0.001796004,0.003331898,0.002665964,0.0007951778,0.002332672,0.0714152],"category_scores_gemma":[0.001916028,0.0002808615,0.0003637021,0.001165197,0.001171844,0.002763241,0.001562759,0.003460137,0.04731482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004102457,"about_ca_system_score_gemma":0.002684511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03778317,"about_ca_topic_score_gemma":0.04830367,"domain_scores_codex":[0.9990189,0.0001221296,0.00002287024,0.0001930683,0.0004670722,0.0001759928],"domain_scores_gemma":[0.9993513,0.0001083821,0.0000376251,0.00003598415,0.0002748524,0.0001918667],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000005337433,0.000006175573,0.00004535019,0.00001237529,4.679752e-7,0.00007352551,0.0001184697,0.00001454407,0.00005933745,0.003554038,0.9836157,0.01249462],"study_design_scores_gemma":[4.770967e-7,0.000001905835,0.00008797936,0.00002351747,2.335259e-7,0.0001002833,0.00003997805,0.000005112006,0.00001681635,0.0001804097,0.9995416,0.00000170886],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001890051,0.09716257,0.001970996,0.16742,0.07478739,0.00009522641,0.00143611,0.0003745004,0.6548631],"genre_scores_gemma":[0.008612123,0.02307725,0.0006811924,0.02839228,0.008512061,0.00004727979,0.0005406617,0.0002194103,0.9299178],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0714152,"threshold_uncertainty_score":0.2389076,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W6995858597","doi":"","title":"Portrait of Jon T. Hougen","year":2003,"lang":"en","type":"other","venue":"National Institute of Standards and Technology (NIST)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Tribute; Portrait; Research council; Field (mathematics); Graduate students; Obituary","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.01104718553907512,"gpt":0.2886255256649272,"spread":0.277578340125852,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00088152,0.0007311211,0.000354171,0.001046322,0.004759108,0.005289855,0.001214588,0.003147915,0.05704346],"category_scores_gemma":[0.002733356,0.0002712291,0.0003343713,0.000971666,0.001464537,0.003854576,0.00324309,0.006091202,0.04522058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003527464,"about_ca_system_score_gemma":0.003102362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01164842,"about_ca_topic_score_gemma":0.01839959,"domain_scores_codex":[0.9988335,0.0002097474,0.00003301004,0.0002577734,0.0004963971,0.0001695934],"domain_scores_gemma":[0.9992006,0.0001292206,0.0000419335,0.00004593677,0.0002758718,0.0003064776],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001288376,0.00001836516,0.000091649,0.00002737868,9.814972e-7,0.0001738388,0.0005705404,0.00002141015,0.0001125199,0.0112658,0.9668182,0.02088645],"study_design_scores_gemma":[6.962797e-7,0.000003411253,0.00005759868,0.00002535617,2.653204e-7,0.0001231925,0.0001452028,0.000008275473,0.00002401666,0.0005797069,0.9990304,0.000001867458],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002214289,0.05441624,0.00225986,0.2466011,0.06970023,0.00008732594,0.0008428058,0.0004157558,0.6234623],"genre_scores_gemma":[0.01068529,0.01691229,0.001168912,0.06771471,0.008444384,0.00007032556,0.0004816442,0.0003653146,0.8941571],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05704346,"threshold_uncertainty_score":0.1908294,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}