{"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"},"query_hash":"b10276f4c785","filters":{"venue":"International Journal of Advanced Science and Technology"}},"results":[{"id":"W2483745","doi":"","title":"SEKEBAN (Secure and Efficient Key Exchange for wireless Body Area Network)","year":2009,"lang":"en","type":"article","venue":"International Journal of Advanced Science and Technology","topic":"Wireless Body Area Networks","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Body area network; Computer science; Wireless; Wireless sensor network; Key distribution in wireless sensor networks; Key (lock); Wireless network; Computer network; Wireless WAN; Cryptography; Computer security; Key exchange; Telecommunications; Public-key cryptography; Encryption","retraction":null,"screen_n_in":null,"score":{"opus":0.005108893069740283,"gpt":0.2348215723115073,"spread":0.2297126792417671,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003185275,0.0001052551,0.0001644785,0.0003957634,0.00009018136,0.00005090693,0.0004062981,0.00007947846,0.000002450784],"category_scores_gemma":[0.00007810894,0.00009411719,0.00002275373,0.0003837686,0.0002801218,0.0002344061,0.00005167643,0.0001975215,2.830464e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008139196,"about_ca_system_score_gemma":0.00003659319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":1.93076e-7,"about_ca_topic_score_gemma":0.000002638141,"domain_scores_codex":[0.9990636,0.000003350348,0.0002326672,0.0001476703,0.0002936584,0.0002591086],"domain_scores_gemma":[0.9991716,0.00004529428,0.000107205,0.00008518945,0.0005179643,0.00007274556],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000129537,0.00008135875,0.0009198554,0.00002184303,0.00008071497,0.000109782,0.0004237456,0.1470017,0.08236577,0.04224392,0.001603947,0.7250178],"study_design_scores_gemma":[0.005806405,0.001960162,0.00917222,0.001027297,0.00007072804,0.002881045,0.000924293,0.7929725,0.04670436,0.08240821,0.05494099,0.001131774],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9738958,0.002117519,0.019657,0.002591389,0.001154162,0.0001294447,0.000004717838,0.00008361665,0.0003663707],"genre_scores_gemma":[0.995501,0.0005693511,0.003576197,0.00009265455,0.0002393866,0.000004088984,6.873203e-7,0.000007437724,0.000009201491],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7238861,"threshold_uncertainty_score":0.3837987,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3028519024","doi":"","title":"A new hybrid conjugate gradient method with global convergence properties","year":2020,"lang":"en","type":"article","venue":"International Journal of Advanced Science and Technology","topic":"Advanced Optimization Algorithms Research","field":"Mathematics","cited_by":14,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Conjugate gradient method; Convergence (economics); Conjugate; Computer science; Derivation of the conjugate gradient method; Applied mathematics; Nonlinear conjugate gradient method; Conjugate residual method; Mathematics; Gradient descent; Algorithm; Artificial intelligence; Mathematical analysis; Artificial neural network","retraction":null,"screen_n_in":null,"score":{"opus":0.03623797289331353,"gpt":0.3598870607785358,"spread":0.3236490878852223,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000313178,0.0001044748,0.000195882,0.0002332991,0.00008063328,0.00005507481,0.0007908756,0.00002800687,0.00002604723],"category_scores_gemma":[0.001774571,0.0000741263,0.00002106093,0.0008230546,0.0005515656,0.0006252349,0.0001905839,0.0002110074,0.000003105504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001353529,"about_ca_system_score_gemma":0.0005616189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002102982,"about_ca_topic_score_gemma":0.000002087642,"domain_scores_codex":[0.9983461,0.00001635094,0.0003109381,0.0002227715,0.0008945972,0.00020924],"domain_scores_gemma":[0.9973235,0.00004803771,0.0002866782,0.00009945094,0.002050795,0.0001915387],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001141382,0.0001597362,0.001847069,0.00004331354,0.0002509755,0.0007994277,0.0009722401,0.007040969,0.07200582,0.2036733,0.0009191016,0.7111467],"study_design_scores_gemma":[0.00694524,0.003419456,0.0001942008,0.0004081272,0.00006263996,0.007519459,0.00383998,0.07911382,0.4369444,0.4426209,0.01816927,0.0007624406],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05480901,0.000231532,0.9227708,0.02155849,0.0002153045,0.0001513059,0.000005529912,0.00005487758,0.0002031471],"genre_scores_gemma":[0.3225051,0.0001298616,0.6770005,0.0002621676,0.00005055677,0.000002655985,1.559355e-7,0.000006633039,0.00004239758],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7103842,"threshold_uncertainty_score":0.3022783,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3045794209","doi":"","title":"Convergence analysis of a new coefficient conjugate gradient method under exact line search","year":2020,"lang":"en","type":"article","venue":"International Journal of Advanced Science and Technology","topic":"Advanced Optimization Algorithms Research","field":"Mathematics","cited_by":8,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Conjugate gradient method; Convergence (economics); Line search; Nonlinear conjugate gradient method; Conjugate; Computer science; Line (geometry); Applied mathematics; Conjugate residual method; Mathematical optimization; Mathematics; Algorithm; Gradient descent; Mathematical analysis; Artificial intelligence; Artificial neural network; Geometry","retraction":null,"screen_n_in":null,"score":{"opus":0.06495578451469657,"gpt":0.4270622620179934,"spread":0.3621064775032968,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008557632,0.0001043199,0.0003632632,0.001556672,0.00006403759,0.00002962718,0.000904505,0.00005488803,0.00008644811],"category_scores_gemma":[0.002423921,0.00008718892,0.00007257173,0.003735323,0.0006308091,0.000321563,0.0002646834,0.0002862515,0.000001610422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001189462,"about_ca_system_score_gemma":0.0004465669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004189455,"about_ca_topic_score_gemma":0.000003354515,"domain_scores_codex":[0.997693,0.00003299683,0.0005669162,0.0002557308,0.001227339,0.0002239849],"domain_scores_gemma":[0.9959837,0.0002549276,0.0004251721,0.000151472,0.002980192,0.0002045251],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004172616,0.0003471594,0.001329015,0.00003038435,0.001339179,0.0001293994,0.002241739,0.5199306,0.1671654,0.1728117,0.0001586753,0.1340995],"study_design_scores_gemma":[0.002601294,0.001244218,0.0005370962,0.00008913164,0.0002764768,0.0001963775,0.004142458,0.6869553,0.2388196,0.06323812,0.001576892,0.0003229751],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.143235,0.0001392389,0.8466855,0.009608838,0.0001406247,0.0001016604,0.000009545552,0.00002135664,0.00005824784],"genre_scores_gemma":[0.7028073,0.0002706446,0.2966366,0.000191229,0.00003110011,0.000001244926,8.738101e-7,0.00000742211,0.000053632],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5595723,"threshold_uncertainty_score":0.3555461,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3045763854","doi":"","title":"Classification of thalassemia data using K-nearest neighbor and Naïve Bayes","year":2019,"lang":"en","type":"article","venue":"International Journal of Advanced Science and Technology","topic":"Artificial Intelligence in Healthcare","field":"Health Professions","cited_by":4,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Naive Bayes classifier; k-nearest neighbors algorithm; Thalassemia; Computer science; Pattern recognition (psychology); Bayes' theorem; Artificial intelligence; Bayesian probability; Medicine; Internal medicine; Support vector machine","retraction":null,"screen_n_in":null,"score":{"opus":0.1410961846893596,"gpt":0.509615527891392,"spread":0.3685193432020323,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001000743,0.0000683032,0.0001783441,0.0005561889,0.0001700323,0.00001196532,0.0008770596,0.0001130447,0.00003378158],"category_scores_gemma":[0.001740641,0.00005651504,0.00001033914,0.0004302365,0.0005930685,0.0007996237,0.0004166105,0.0003979546,0.000006246551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001374136,"about_ca_system_score_gemma":0.000751727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005163369,"about_ca_topic_score_gemma":0.0000681405,"domain_scores_codex":[0.9985105,0.00003779277,0.0005711061,0.000223083,0.0004647361,0.0001927529],"domain_scores_gemma":[0.9965531,0.0002974991,0.0006986893,0.0002772901,0.002111254,0.0000621666],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007486171,0.00002882223,0.5856608,0.00004030939,0.00001727094,0.000007864474,0.0005075197,0.00003824516,0.3272093,0.02396255,0.00003778867,0.06241462],"study_design_scores_gemma":[0.002985012,0.00199332,0.4488601,0.004933801,0.00009584924,0.0009799439,0.1123371,0.1724584,0.09623986,0.1332245,0.02492769,0.0009644568],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937438,0.0003537133,0.0004763806,0.003955336,0.001018368,0.0001634019,0.00001676742,0.000011497,0.0002607436],"genre_scores_gemma":[0.9951888,0.0002857306,0.004324025,0.00009429101,0.00007619322,0.000001485047,0.000001418048,0.000005464488,0.00002259074],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2309694,"threshold_uncertainty_score":0.2304617,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2953866421","doi":"10.33832/ijast.2019.125.04","title":"Evaluating Anti-Hypertension Medications Usage on Patient Care Online Blogs","year":2019,"lang":"en","type":"article","venue":"International Journal of Advanced Science and Technology","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Lakehead University","funders":"","keywords":"Computer science; Medicine; Family medicine","retraction":null,"screen_n_in":null,"score":{"opus":0.06289916504139008,"gpt":0.4565776258229779,"spread":0.3936784607815878,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008353856,0.00006226201,0.0001347848,0.0006802071,0.0002968796,0.00003213343,0.0005525657,0.0000837489,0.00003306412],"category_scores_gemma":[0.007097277,0.00005482326,0.0000211397,0.0007708661,0.0007170715,0.0003703347,0.00006240847,0.0002493458,0.00001023341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003991131,"about_ca_system_score_gemma":0.001178208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005544789,"about_ca_topic_score_gemma":0.00004475472,"domain_scores_codex":[0.9979691,0.00004741181,0.0003098509,0.0001789257,0.00129302,0.0002016977],"domain_scores_gemma":[0.9959719,0.0004444205,0.0003856754,0.0001120526,0.002984491,0.0001015053],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002127371,0.0001270868,0.0176744,0.000004795932,0.00001259487,0.000009111106,0.009194811,0.0001155577,0.02367019,0.01189346,0.00002656733,0.9372501],"study_design_scores_gemma":[0.006755752,0.009660339,0.2113354,0.002325241,0.0001326641,0.000434078,0.4632923,0.001393063,0.0320837,0.04235589,0.2289478,0.001283759],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9739731,0.0003171092,0.0000124422,0.01934358,0.005594001,0.0002684234,0.000002946631,0.00002238326,0.0004660438],"genre_scores_gemma":[0.9949148,0.0004251686,0.003999202,0.0004037234,0.0002327347,0.00001129144,0.000001381141,0.00000411918,0.000007526231],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9359664,"threshold_uncertainty_score":0.8496616,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3174406347","doi":"","title":"Management tour guidelines to tourism satisfaction in North Sumatera - Indonesia","year":2020,"lang":"en","type":"article","venue":"International Journal of Advanced Science and Technology","topic":"Diverse Aspects of Tourism Research","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Tourism; Geography; Archaeology","retraction":null,"screen_n_in":null,"score":{"opus":0.02725830377086373,"gpt":0.3660517553036727,"spread":0.338793451532809,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006388305,0.00006186335,0.0001166548,0.001028667,0.0001259439,0.0001053283,0.0008605229,0.00003826277,0.00002775475],"category_scores_gemma":[0.0009216005,0.00005773225,0.00001755997,0.001358343,0.0003512381,0.0007536677,0.0002444489,0.0001721537,0.00001191242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001796812,"about_ca_system_score_gemma":0.0001890848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001159815,"about_ca_topic_score_gemma":0.0005542212,"domain_scores_codex":[0.9981945,0.00001840721,0.0002891706,0.0001801645,0.001090551,0.0002272766],"domain_scores_gemma":[0.9983442,0.00002367299,0.0001334864,0.00006304221,0.001289462,0.0001461619],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001489258,0.00004678051,0.1269782,0.000005697804,0.00003446874,0.002031219,0.002099878,0.0005786567,0.005082626,0.02461369,0.001821027,0.8365588],"study_design_scores_gemma":[0.004693631,0.001248688,0.7472563,0.0003520954,0.00002611895,0.0001615089,0.05970273,0.000479674,0.00820724,0.02989514,0.1471597,0.0008171524],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.906894,0.00005264402,0.0002612555,0.09126624,0.0003537009,0.0001162469,0.000001327882,0.00002004464,0.00103457],"genre_scores_gemma":[0.9922858,0.0003718114,0.006555907,0.0005960858,0.0001500854,0.000003043169,1.128076e-7,0.00000320293,0.00003398537],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8357416,"threshold_uncertainty_score":0.2354253,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2981942933","doi":"10.33832/ijast.2019.128.02","title":"Blockchain Technology: The New Internet Logistic Brain","year":2019,"lang":"en","type":"article","venue":"International Journal of Advanced Science and Technology","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Lakehead University","funders":"","keywords":"Blockchain; Computer science; The Internet; Computer security; World Wide Web","retraction":null,"screen_n_in":null,"score":{"opus":0.007490717325454354,"gpt":0.2689446475714442,"spread":0.2614539302459898,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008468995,0.0001262,0.0001898579,0.001428594,0.0001142062,0.0001034535,0.004938012,0.0001580548,0.00001137288],"category_scores_gemma":[0.0007688783,0.00008788721,0.00003591268,0.002180154,0.001240014,0.0003105022,0.0009458733,0.0005599853,0.00002403401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009816128,"about_ca_system_score_gemma":0.0003811073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004312903,"about_ca_topic_score_gemma":0.000006181472,"domain_scores_codex":[0.9984624,0.00001288079,0.000371754,0.0003449566,0.0005335205,0.0002744934],"domain_scores_gemma":[0.9978887,0.0001228245,0.0003754001,0.0005459144,0.001000992,0.00006611502],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000006754478,0.0000326321,0.0009886631,0.000001056295,0.0000219585,0.00001994644,0.0001026136,0.0000484984,0.01802307,0.7704172,0.0006399435,0.2096976],"study_design_scores_gemma":[0.001198253,0.0005611388,0.0006387521,0.00007425768,0.000008699913,0.002621875,0.0006457351,0.01050706,0.05127652,0.8215125,0.1106813,0.0002738818],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5091381,0.001094471,0.1654406,0.3220805,0.001185117,0.0002421742,0.000001302487,0.0002213674,0.0005963819],"genre_scores_gemma":[0.9774866,0.00005741185,0.02128192,0.0008586837,0.00004065243,0.000005790505,1.068423e-7,0.000004568808,0.0002642405],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4683485,"threshold_uncertainty_score":0.9176137,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3039309778","doi":"","title":"Analyzing the impact of treatment, fumigation, and biolarvicides intervention on malaria control program","year":2020,"lang":"en","type":"article","venue":"International Journal of Advanced Science and Technology","topic":"Mosquito-borne diseases and control","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Fumigation; Malaria; Intervention (counseling); Computer science; Medicine; Biology; Nursing; Immunology; Ecology","retraction":null,"screen_n_in":null,"score":{"opus":0.009943409615431584,"gpt":0.344584441711946,"spread":0.3346410320965144,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001662471,0.00006505613,0.0001611335,0.0002282692,0.00004470814,0.00003060138,0.0001561572,0.00002682554,0.00001137648],"category_scores_gemma":[0.0004435268,0.00003545279,0.00007497871,0.0002848523,0.0003196984,0.0001730536,0.00002342397,0.00008730426,3.35162e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000705178,"about_ca_system_score_gemma":0.0001214527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009008559,"about_ca_topic_score_gemma":0.000001246189,"domain_scores_codex":[0.9993965,0.00001060157,0.0002303634,0.0001115706,0.0001664514,0.00008449415],"domain_scores_gemma":[0.9988305,0.00003375654,0.0002525235,0.00006441236,0.0007515458,0.00006723635],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001111016,0.0002303745,0.1021556,0.000007739794,0.0003370554,0.00002681841,0.0001111383,0.0001237961,0.1360598,0.003740642,0.00001640984,0.7560797],"study_design_scores_gemma":[0.02746919,0.05375579,0.8048781,0.0008112233,0.0006638129,0.001060919,0.003048094,0.04091929,0.05255716,0.01261964,0.001868541,0.0003482036],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9863639,0.000812239,0.0005957604,0.01194582,0.00004934226,0.0001697481,0.000006584381,0.00001103489,0.00004552434],"genre_scores_gemma":[0.9993934,0.0001910085,0.000247885,0.0001048283,0.00005120373,0.000005264158,8.132345e-7,0.000002656078,0.000002918579],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7557315,"threshold_uncertainty_score":0.1445723,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}