{"meta":{"query_hash":"4862b37ccd65","filters":{"venue":"German Neuroinformatics Node"},"cohort_total":16,"direct_labels_cover":1,"predictions_cover":16,"exported":16,"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/4862b37ccd65","api":"https://metacan.xera.ac/api/v1/cohort?venue=German+Neuroinformatics+Node"},"results":[{"id":"W6884741511","doi":"10.12751/g-node.9c0912","title":"Detection of Children/Youth with Fetal Alcohol Spectrum Disorder through Eye Movement, Psychometric and Neuroimaging Data","year":2018,"lang":"en","type":"dataset","venue":"German Neuroinformatics Node","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"National Science Foundation","keywords":"Fetal Alcohol Spectrum Disorder; Neuroimaging; Fetal alcohol; Alcohol use disorder; Fetal alcohol syndrome","score_opus":0.029477010711128997,"score_gpt":0.29193680920894877,"score_spread":0.26245979849781975,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6884741511","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0018485816,0.00025843031,0.00017504772,0.0000837111,0.000022118453,0.000020025243,0.9967997,0.0001687415,0.0006236551],"genre_scores_gemma":[0.004292563,0.00013040246,0.00035622792,0.00004670473,0.000009314259,0.00011459581,0.9943183,0.00004469544,0.0006872854],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994137,0.00008177593,0.00009310798,0.00021166503,0.000110447574,0.000089205074],"domain_scores_gemma":[0.9983827,0.00050989405,0.00024038415,0.00035177972,0.00037391833,0.00014130484],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001056328,0.0016373588,0.0012883445,0.0023644418,0.00042023556,0.0012176823,0.001992614,0.001572281,0.02606258],"category_scores_gemma":[0.007756013,0.00039664475,0.0011766792,0.002075561,0.00028142543,0.00067313696,0.0014121305,0.0010730865,0.019632312],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00058022345,0.00007138037,0.02243081,0.0019492492,0.00034648736,0.00025041972,0.00006516883,0.00080046814,0.0005117159,0.00057257694,0.9600665,0.012355049],"study_design_scores_gemma":[0.0012276667,0.00015555693,0.16089335,0.0025702107,0.00097232265,0.0014457988,0.00028512639,0.0025393972,0.0028336847,0.00515338,0.82177055,0.00015298293],"about_ca_topic_score_codex":0.026036551,"about_ca_topic_score_gemma":0.04872671,"teacher_disagreement_score":0.02606258,"about_ca_system_score_codex":0.0010149804,"about_ca_system_score_gemma":0.0017247628,"threshold_uncertainty_score":0.087188005},"labels":[],"label_agreement":null},{"id":"W6884758400","doi":"10.12751/g-node.xljkm6","title":"Conditioning electrical nerve stimulation enhances functional rewiring in a mouse model of nerve transfer to treat chronic spinal cord injury","year":2025,"lang":"en","type":"dataset","venue":"German Neuroinformatics Node","topic":"","field":"","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":"National Institutes of Health; New York State Department of Health; Paralyzed Veterans of America Research Foundation","keywords":"Spinal cord injury; Stimulation; Nerve injury; Spinal cord; Spinal nerve; Conditioning; Functional electrical stimulation","score_opus":0.027585105793426754,"score_gpt":0.310584791025921,"score_spread":0.28299968523249425,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6884758400","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0032794366,0.0004447849,0.0003162945,0.00022913377,0.000041650157,0.000064681575,0.9942451,0.00038248335,0.0009963431],"genre_scores_gemma":[0.0038835143,0.00022514068,0.00087185204,0.0001403866,0.000005975186,0.00032733887,0.99358493,0.000045268738,0.00091558154],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99894935,0.00027350266,0.00017168342,0.00024894933,0.00024208981,0.00011441655],"domain_scores_gemma":[0.99783295,0.00091028336,0.00042553555,0.00032915216,0.00032183353,0.00018029894],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025301352,0.0014112714,0.0011835741,0.0022717286,0.00046704078,0.0009914006,0.0018981466,0.0013810266,0.022507396],"category_scores_gemma":[0.0050889477,0.0002921272,0.0013773902,0.0020210855,0.00035028547,0.00043872278,0.0011521187,0.0009054629,0.012315069],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020613952,0.00042934722,0.012692666,0.0056299255,0.001000644,0.00015684773,0.00006906531,0.0045232153,0.0031690837,0.001231037,0.94774204,0.021294639],"study_design_scores_gemma":[0.005064402,0.0013606003,0.0674281,0.002212812,0.0021366975,0.0006798358,0.00023134463,0.010942577,0.008347705,0.004234803,0.8971665,0.00019472532],"about_ca_topic_score_codex":0.014696202,"about_ca_topic_score_gemma":0.041938838,"teacher_disagreement_score":0.022507396,"about_ca_system_score_codex":0.0013363359,"about_ca_system_score_gemma":0.002332517,"threshold_uncertainty_score":0.07529473},"labels":[],"label_agreement":null},{"id":"W6884763870","doi":"10.12751/g-node.f93a29","title":"Finding the balance between model complexity and performance: Using ventral striatal oscillations to classify feding behavior in rats","year":2018,"lang":"en","type":"dataset","venue":"German Neuroinformatics Node","topic":"","field":"","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 Guelph","funders":"","keywords":"Raw data; MATLAB; Code (set theory); Balance (ability); Software","score_opus":0.13915867289860911,"score_gpt":0.35861212281526006,"score_spread":0.21945344991665094,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6884763870","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013873964,0.0004453004,0.0018743573,0.00019465145,0.00009301871,0.000049947696,0.97981334,0.002404941,0.001250564],"genre_scores_gemma":[0.014616733,0.00012904296,0.0024491835,0.000060398273,0.000013843821,0.00017799763,0.98134696,0.0002248893,0.0009809682],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995809,0.0000678506,0.000048876125,0.00016997702,0.00008062639,0.00005168323],"domain_scores_gemma":[0.9987998,0.00045932445,0.00013427762,0.00034982292,0.00018242451,0.000074287294],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012323791,0.002276736,0.0009890321,0.0019871425,0.000423561,0.0012129684,0.0020604667,0.0014461247,0.013213692],"category_scores_gemma":[0.004394998,0.00039337453,0.0015371332,0.0012812463,0.00035834388,0.0006712769,0.0014197816,0.0010411687,0.016468685],"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":[0.00090719195,0.0003044929,0.033954173,0.0027970567,0.00081499846,0.00017676955,0.00015498932,0.011015636,0.0027418153,0.0011596462,0.8997014,0.04627187],"study_design_scores_gemma":[0.002404337,0.00093138963,0.1822824,0.0021883817,0.0017667346,0.0011207773,0.0007745859,0.06514688,0.01769003,0.020048672,0.7051422,0.0005036056],"about_ca_topic_score_codex":0.015403074,"about_ca_topic_score_gemma":0.038367823,"teacher_disagreement_score":0.015403074,"about_ca_system_score_codex":0.0007764232,"about_ca_system_score_gemma":0.0009324463,"threshold_uncertainty_score":0.044204235},"labels":[],"label_agreement":null},{"id":"W6903356975","doi":"10.12751/g-node.crm6lj","title":"EEGManyLabs - Replication Raw Dataset - Eimer1996","year":2025,"lang":"en","type":"dataset","venue":"German Neuroinformatics Node","topic":"","field":"","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":"Replication (statistics); Raw data; Product (mathematics); Raw material","score_opus":0.020123457331914237,"score_gpt":0.324781493978556,"score_spread":0.30465803664664176,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6903356975","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":"reproducibility","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":"reproducibility","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0012106083,0.00015443804,0.0003553691,0.00009626935,0.00009861935,0.000087143475,0.9960645,0.0007858306,0.0011472449],"genre_scores_gemma":[0.001407355,0.000037001853,0.00060815306,0.00004531807,0.000015229286,0.0003811983,0.9962626,0.00013331362,0.0011098693],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986104,0.00031110484,0.00015007779,0.0004003021,0.00035106807,0.00017703076],"domain_scores_gemma":[0.9965553,0.0007006638,0.00019054637,0.0012440586,0.0010568302,0.0002525285],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.001798608,0.0034338294,0.0014376697,0.0023667712,0.001136451,0.0013980602,0.0036788688,0.002236212,0.046120513],"category_scores_gemma":[0.008559933,0.00069885846,0.0018028197,0.0031916546,0.0006957,0.0010091513,0.0020233104,0.002143073,0.06686052],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034251955,0.000107932996,0.00081854226,0.0005818682,0.000075724114,0.000050505954,0.000033803775,0.00031390516,0.0005193225,0.0002269912,0.9925028,0.0044261455],"study_design_scores_gemma":[0.0023851902,0.00022836644,0.025008954,0.00037952547,0.0002255019,0.0004221388,0.00021724518,0.0012899874,0.003002895,0.0032890255,0.9634004,0.00015077669],"about_ca_topic_score_codex":0.017285574,"about_ca_topic_score_gemma":0.03963765,"teacher_disagreement_score":0.9982014,"about_ca_system_score_codex":0.0010834768,"about_ca_system_score_gemma":0.0021407339,"threshold_uncertainty_score":0.15428853},"labels":[],"label_agreement":null},{"id":"W6903432911","doi":"10.12751/g-node.8zxj27","title":"EEGManyLabs - Replication Processed Dataset - Eimer1996","year":2025,"lang":"en","type":"dataset","venue":"German Neuroinformatics Node","topic":"","field":"","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":"Replication (statistics); Scripting language; DNA replication","score_opus":0.019831656588995893,"score_gpt":0.3247989552021238,"score_spread":0.30496729861312794,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6903432911","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":"reproducibility","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":"reproducibility","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0005678107,0.000045722616,0.0004662844,0.000060766164,0.00005250955,0.00008465052,0.9964754,0.0013627633,0.00088420155],"genre_scores_gemma":[0.0008429579,0.000018157489,0.0010029656,0.00003487859,0.000008560165,0.0005493217,0.9962327,0.0002947812,0.0010157666],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987697,0.00027062048,0.00014319665,0.00039450108,0.00026974027,0.00015218325],"domain_scores_gemma":[0.9962924,0.000892999,0.00018954542,0.0014362781,0.00093007117,0.00025866114],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0021139656,0.0035898704,0.0012770535,0.0026105796,0.0010134624,0.0015798091,0.003768008,0.0017740822,0.077556916],"category_scores_gemma":[0.008608354,0.00085421087,0.001522963,0.0033040221,0.00059234264,0.0010366342,0.0019372154,0.0021108587,0.09490384],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023958636,0.00007723074,0.0005599479,0.00047408656,0.00004622477,0.000026880716,0.000029451798,0.00031321525,0.00040034432,0.00028212788,0.99387616,0.0036747435],"study_design_scores_gemma":[0.0017572256,0.00013955864,0.011713084,0.00024076043,0.00014966287,0.00019654175,0.00014213906,0.00170025,0.003102177,0.0034285777,0.97732043,0.000109547094],"about_ca_topic_score_codex":0.015284557,"about_ca_topic_score_gemma":0.03287618,"teacher_disagreement_score":0.99788606,"about_ca_system_score_codex":0.0011992565,"about_ca_system_score_gemma":0.0025372235,"threshold_uncertainty_score":0.2594537},"labels":[],"label_agreement":null},{"id":"W6903433218","doi":"10.12751/g-node.io75u3","title":"MNI-FTD Templates, Unbiased Average Templates of Frontotemporal Dementia Variants","year":2020,"lang":"en","type":"dataset","venue":"German Neuroinformatics Node","topic":"","field":"","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":"McGill University","funders":"","keywords":"Frontotemporal dementia; Template; Probabilistic logic; Aphasia; Pattern recognition (psychology); Semantic dementia","score_opus":0.0256753286763008,"score_gpt":0.2698625745633409,"score_spread":0.2441872458870401,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6903433218","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0026993826,0.00078172865,0.0035260653,0.000091937734,0.00004857172,0.00006193316,0.988482,0.0021205842,0.0021879047],"genre_scores_gemma":[0.0050976854,0.00026293605,0.003731957,0.00004731294,0.000012913982,0.00022662376,0.9888364,0.0003219886,0.0014621887],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99937147,0.00008466797,0.00007832717,0.00029029453,0.00011307482,0.00006231793],"domain_scores_gemma":[0.9991135,0.00025793028,0.00008753611,0.00031296688,0.00017109359,0.00005689845],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010039213,0.0024444202,0.0013563811,0.003004637,0.0006421666,0.0013667791,0.0026695316,0.0018418037,0.03685405],"category_scores_gemma":[0.00519221,0.0008554103,0.0013239988,0.003414054,0.00040041155,0.0008345485,0.0013778763,0.0010408746,0.045553155],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002810994,0.000049717833,0.0059521403,0.0014781831,0.00031669182,0.0005113692,0.00012424748,0.0030404618,0.0017855066,0.0018732249,0.9554556,0.029131666],"study_design_scores_gemma":[0.0005998043,0.00011695058,0.03050674,0.0006407975,0.0006166304,0.0046626707,0.00015168342,0.0059485994,0.005296973,0.014071226,0.93725693,0.00013105966],"about_ca_topic_score_codex":0.030391006,"about_ca_topic_score_gemma":0.06763196,"teacher_disagreement_score":0.03685405,"about_ca_system_score_codex":0.0011892007,"about_ca_system_score_gemma":0.0018278518,"threshold_uncertainty_score":0.12328911},"labels":[],"label_agreement":null},{"id":"W6903545777","doi":"10.12751/g-node.6953bb","title":"Spike time locking in the electro-sensory system","year":2017,"lang":"en","type":"dataset","venue":"German Neuroinformatics Node","topic":"","field":"","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":"Electric fish; Neurophysiology; Electroreception; Spike (software development); Line (geometry); Spike train; Electrophysiology","score_opus":0.02009214772633181,"score_gpt":0.29356515967449964,"score_spread":0.2734730119481678,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6903545777","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0020546194,0.00068490516,0.0002680568,0.00007263849,0.00003793969,0.00001562215,0.99573517,0.00058602646,0.0005449869],"genre_scores_gemma":[0.003731391,0.00018358574,0.00039294214,0.000039653136,0.000007908988,0.00006881282,0.99519956,0.00004439717,0.00033169548],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99929655,0.00009794898,0.000098599594,0.00024716387,0.00014831084,0.00011140761],"domain_scores_gemma":[0.9987888,0.00048483873,0.0001478798,0.0002686259,0.00021688717,0.00009293597],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009018605,0.0024964937,0.0014782534,0.0024798622,0.0005465882,0.0017684855,0.002545708,0.0024910138,0.014118883],"category_scores_gemma":[0.00435668,0.00043257108,0.0017878168,0.0030601462,0.0004552241,0.0006517389,0.0014540858,0.0009915824,0.019214973],"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":[0.00076916046,0.00011888809,0.009998549,0.006575023,0.0007836429,0.00033263778,0.00006434367,0.0057415133,0.0019974394,0.0010628776,0.954041,0.018514983],"study_design_scores_gemma":[0.0016002604,0.00020299057,0.04552948,0.0015273688,0.0010158535,0.000866438,0.00013178375,0.008691368,0.0037112902,0.005773508,0.93079215,0.00015740847],"about_ca_topic_score_codex":0.015364851,"about_ca_topic_score_gemma":0.03280112,"teacher_disagreement_score":0.015364851,"about_ca_system_score_codex":0.00093558006,"about_ca_system_score_gemma":0.0018010914,"threshold_uncertainty_score":0.04723233},"labels":[],"label_agreement":null},{"id":"W6903650734","doi":"10.12751/incf.ni2018.0066","title":"Consistency of resting-state fMRI connectivity on a single individual over 2.5 years and 13 sites using the canadian dementia imaging protocol","year":2018,"lang":"en","type":"article","venue":"German Neuroinformatics Node","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Protocol (science); Consistency (knowledge bases); Dementia; Neuroimaging; Functional magnetic resonance imaging","score_opus":0.05885988484483147,"score_gpt":0.30079158946812834,"score_spread":0.24193170462329688,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6903650734","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":[0.9587787,0.00031663282,0.011089023,0.00023445861,0.000074031304,0.0021940717,0.01827538,0.00029076263,0.008746903],"genre_scores_gemma":[0.9644331,0.0001278257,0.010676974,0.000096175274,0.000014553178,0.0016969244,0.017506963,0.00015351993,0.005293978],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99792385,0.00037387124,0.000217394,0.00059987704,0.00066308293,0.00022190975],"domain_scores_gemma":[0.9949586,0.0005753854,0.00042459593,0.0005334361,0.0033569585,0.00015104491],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004416774,0.00044796403,0.0004734757,0.0012902545,0.0019435956,0.00089782133,0.0018125717,0.0006916819,0.0015117403],"category_scores_gemma":[0.010884669,0.0003357303,0.0005613998,0.0015433802,0.0006685625,0.00054782303,0.0006835939,0.00071143714,0.0003706821],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0038752607,0.0005858784,0.8607583,0.00041643693,0.0018625037,0.0008307507,0.005226975,0.008253457,0.021507144,0.0020001577,0.029369766,0.065313354],"study_design_scores_gemma":[0.00005763988,0.00014824867,0.9914835,0.000016878434,0.00017216479,0.0002813373,0.00029274126,0.0010834693,0.0017700657,0.0001962817,0.0044438927,0.00005376031],"about_ca_topic_score_codex":0.6412447,"about_ca_topic_score_gemma":0.8432806,"teacher_disagreement_score":0.3587553,"about_ca_system_score_codex":0.003277637,"about_ca_system_score_gemma":0.0054786797,"threshold_uncertainty_score":0.72173613},"labels":[],"label_agreement":null},{"id":"W6922448674","doi":"10.12751/g-node.xf281q","title":"EEGManyLabs - Replication Raw Dataset - Eimer1996","year":2025,"lang":"en","type":"dataset","venue":"German Neuroinformatics Node","topic":"Education Methods and Technologies","field":"Social 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":"University of Waterloo","funders":"","keywords":"Replication (statistics); Raw data; Product (mathematics); Raw material","score_opus":0.04336719507156326,"score_gpt":0.42431358487199505,"score_spread":0.3809463898004318,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6922448674","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":"reproducibility","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":"reproducibility","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0015406474,0.00012993896,0.00036025513,0.00010306973,0.00010929869,0.00010924835,0.9959442,0.00070115493,0.0010022866],"genre_scores_gemma":[0.0017309068,0.000032543463,0.00067467557,0.000053966553,0.000018359357,0.00053727947,0.99569064,0.00013150385,0.0011301604],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983498,0.00040406425,0.00018486791,0.00043949907,0.0004169636,0.00020483807],"domain_scores_gemma":[0.9954952,0.0008956166,0.00026583395,0.0016595485,0.001365472,0.0003183473],"candidate_categories":["metaresearch","open_science"],"consensus_categories":[],"category_scores_codex":[0.0023352636,0.003115029,0.0013136612,0.0023081242,0.0011527215,0.0013939808,0.003696286,0.0021659154,0.038682397],"category_scores_gemma":[0.010373922,0.00067206967,0.0017358343,0.0029365262,0.0007342156,0.0009348129,0.0021089572,0.0022863061,0.054471377],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004277463,0.00015100196,0.0012083044,0.00061586045,0.00010091366,0.000052998745,0.00003810991,0.00033071818,0.0005031782,0.0002622206,0.9916156,0.0046933265],"study_design_scores_gemma":[0.0030042077,0.000267127,0.03395985,0.00037666885,0.00024231942,0.00039256818,0.00024722604,0.0013128417,0.0027693165,0.0030367633,0.95423746,0.00015365891],"about_ca_topic_score_codex":0.0147499,"about_ca_topic_score_gemma":0.0360117,"teacher_disagreement_score":0.99766475,"about_ca_system_score_codex":0.0009985808,"about_ca_system_score_gemma":0.0021395872,"threshold_uncertainty_score":0.1294055},"labels":[{"model":"gemma","categories":["metaresearch"],"domain":"reproducibility","study_design":"not_applicable","genre":"dataset","about_ca_system":false,"about_ca_topic":false,"confidence":"high"},{"model":"gpt","categories":[],"domain":null,"study_design":"not_applicable","genre":"dataset","about_ca_system":false,"about_ca_topic":false,"confidence":"high"}],"label_agreement":"split"},{"id":"W6940794758","doi":"10.12751/incf.ni2019.0089","title":"Using the DATS model to describe datasets in the Canadian Open Neuroscience Platform","year":2019,"lang":"en","type":"article","venue":"German Neuroinformatics Node","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Open science; Neuroinformatics; Open source; Open data; Key (lock); Feature (linguistics)","score_opus":0.11321430311724179,"score_gpt":0.30958430160455885,"score_spread":0.19636999848731707,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6940794758","genre_codex":"dataset","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":[0.044481896,0.0012455696,0.3503219,0.004377924,0.00049272954,0.000734597,0.53128517,0.05283628,0.014223975],"genre_scores_gemma":[0.23410648,0.001238366,0.25513119,0.000759459,0.00007712209,0.0009710226,0.49485117,0.0046761595,0.008189101],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985739,0.00026409212,0.00014860765,0.00035810468,0.00047793778,0.00017737816],"domain_scores_gemma":[0.9938074,0.002314483,0.0002554072,0.0015170343,0.0018121079,0.00029346906],"candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.0035202692,0.0012757271,0.000871582,0.0030733324,0.0016453485,0.003728506,0.0036926812,0.0014741935,0.008702989],"category_scores_gemma":[0.022205215,0.00092799973,0.0025242225,0.005253663,0.000983694,0.003558699,0.0021823188,0.002342682,0.0037188702],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008263145,0.00014756419,0.015481873,0.0010973328,0.0006420176,0.0006326719,0.00042158298,0.5438576,0.0020383834,0.06599136,0.28356495,0.08529836],"study_design_scores_gemma":[0.00013200904,0.000042388267,0.0037503927,0.00015975989,0.00010311835,0.00014859354,0.0001939297,0.8215873,0.0024526531,0.06146543,0.10986896,0.00009548345],"about_ca_topic_score_codex":0.6147474,"about_ca_topic_score_gemma":0.6761732,"teacher_disagreement_score":0.9963073,"about_ca_system_score_codex":0.008799273,"about_ca_system_score_gemma":0.011544271,"threshold_uncertainty_score":0.77504283},"labels":[],"label_agreement":null},{"id":"W6941005738","doi":"10.12751/g-node.be5e62","title":"CerebrA: Accurate registration and manual label correction of the Mindboggle-101 atlas for the MNI-ICBM152 template","year":2020,"lang":"en","type":"dataset","venue":"German Neuroinformatics Node","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","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":"McGill University","funders":"","keywords":"Atlas (anatomy); Brain atlas; Cerebrum; Image registration; Pattern recognition (psychology)","score_opus":0.0254123433655929,"score_gpt":0.25565372856904717,"score_spread":0.23024138520345427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6941005738","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0010448713,0.0004155196,0.0028787279,0.0001253069,0.00009863066,0.00008499884,0.98757565,0.0058531333,0.0019231801],"genre_scores_gemma":[0.0010673896,0.00008913318,0.0029247075,0.00004769827,0.000010290105,0.00023801762,0.99414223,0.00046089024,0.001019658],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.998016,0.0003599989,0.0001954389,0.0008248284,0.00038448197,0.00021915106],"domain_scores_gemma":[0.9981117,0.00042763285,0.00017920062,0.00074328744,0.0004098975,0.0001282526],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002561961,0.0052570333,0.0025571075,0.004191222,0.0013454234,0.002962078,0.0071129072,0.0042231632,0.04504268],"category_scores_gemma":[0.0065232934,0.0014186504,0.002458633,0.0044017257,0.0009538738,0.0017632146,0.003169234,0.003114542,0.115069844],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000173902,0.000065277025,0.0010242532,0.0009091432,0.00013567286,0.00010476811,0.000048360616,0.0010853322,0.0005616538,0.00076308317,0.98343235,0.011696062],"study_design_scores_gemma":[0.0006263377,0.00008227274,0.007850011,0.0005423222,0.00020976446,0.0008466158,0.00012826534,0.0046855807,0.0039293,0.00784206,0.9731169,0.00014064813],"about_ca_topic_score_codex":0.029382912,"about_ca_topic_score_gemma":0.07964042,"teacher_disagreement_score":0.04504268,"about_ca_system_score_codex":0.002220015,"about_ca_system_score_gemma":0.0032484697,"threshold_uncertainty_score":0.15068275},"labels":[],"label_agreement":null},{"id":"W6941374020","doi":"10.12751/g-node.91a992","title":"Similar Changes in Executive function after Moderate Resistance Training and Loadless MovementD","year":2018,"lang":"en","type":"dataset","venue":"German Neuroinformatics Node","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological 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":"University of Waterloo","funders":"","keywords":"Resistance training; Function (biology); Training (meteorology); Control (management); Resistance (ecology)","score_opus":0.017480901652118012,"score_gpt":0.22357528757094922,"score_spread":0.2060943859188312,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6941374020","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008141744,0.0008134945,0.00015353694,0.00014291413,0.00004629117,0.000040834366,0.9897996,0.000110288966,0.0007513477],"genre_scores_gemma":[0.014764358,0.0002619689,0.00032643814,0.0001262922,0.00001798582,0.00032294224,0.98317474,0.00003435229,0.0009710218],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993418,0.000117962976,0.00011171236,0.00024288181,0.00009422802,0.000091427304],"domain_scores_gemma":[0.9985097,0.0004759465,0.00034529407,0.00021787001,0.00032184733,0.00012924409],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011050917,0.0013315654,0.0012938817,0.0011496422,0.0003684911,0.0010105771,0.0016108473,0.0013214684,0.011505904],"category_scores_gemma":[0.007096022,0.00029375908,0.0014989903,0.0016063825,0.00024128224,0.00052360643,0.0011981666,0.0009205026,0.006761183],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.005036477,0.00028352815,0.09024021,0.009091905,0.0027676763,0.00030957066,0.00018002084,0.0018830126,0.0009999197,0.00069784553,0.8662227,0.022287186],"study_design_scores_gemma":[0.0037840405,0.00042028958,0.5313032,0.003265293,0.0030133014,0.0009070812,0.00032155984,0.002196478,0.0015241976,0.0031582187,0.44991663,0.00018970204],"about_ca_topic_score_codex":0.014285244,"about_ca_topic_score_gemma":0.030754969,"teacher_disagreement_score":0.014285244,"about_ca_system_score_codex":0.00071783515,"about_ca_system_score_gemma":0.0010224672,"threshold_uncertainty_score":0.03849107},"labels":[],"label_agreement":null},{"id":"W6959342439","doi":"10.12751/g-node.m9hpkr","title":"180 Neurons in macaque are VIP during fixation, saccades and smooth pursuit eye movements","year":2017,"lang":"en","type":"dataset","venue":"German Neuroinformatics Node","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Smooth pursuit; Macaque; Eye movement; Microsaccade; Eye tracking","score_opus":0.06744120266491342,"score_gpt":0.37964656414511655,"score_spread":0.3122053614802031,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6959342439","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.042437345,0.0014459424,0.00032788885,0.00025273382,0.000104293074,0.00003257667,0.9535398,0.00059807516,0.001261254],"genre_scores_gemma":[0.03705373,0.0004921135,0.00081540336,0.00011785813,0.00003849689,0.00017789751,0.95937234,0.000089069756,0.0018430338],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9997211,0.000023139293,0.00002303948,0.00008394155,0.00005906003,0.00008964569],"domain_scores_gemma":[0.9994937,0.0001493988,0.00005610202,0.0001084067,0.00011635367,0.00007596656],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032966302,0.0012793884,0.001004302,0.0013108985,0.00046992206,0.0007473806,0.001205767,0.0013716893,0.007433588],"category_scores_gemma":[0.0018803773,0.00034917617,0.0011131983,0.0017453126,0.00030707192,0.00031311397,0.00092341326,0.0007851147,0.0065240073],"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":[0.0018451939,0.00021666448,0.051143512,0.0029364706,0.000603881,0.00060111354,0.0003253906,0.0032137157,0.008587466,0.0008730097,0.8944933,0.035160296],"study_design_scores_gemma":[0.0013126014,0.00029925012,0.3852943,0.0009009286,0.0011022375,0.0019312539,0.00077573844,0.0063714157,0.0077729435,0.004203707,0.58986694,0.00016869832],"about_ca_topic_score_codex":0.03196307,"about_ca_topic_score_gemma":0.050124876,"teacher_disagreement_score":0.03196307,"about_ca_system_score_codex":0.0005847014,"about_ca_system_score_gemma":0.0011412406,"threshold_uncertainty_score":0.06355405},"labels":[],"label_agreement":null},{"id":"W6959712501","doi":"10.12751/g-node.dhwj4v","title":"Evaluation of oculomotor functions in the diagnosis of mTBI: a pilot study with healthy controls using eye-tracking and fMRI","year":2023,"lang":"en","type":"dataset","venue":"German Neuroinformatics Node","topic":"Plant pathogens and resistance mechanisms","field":"Agricultural and Biological 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":"McGill University","funders":"","keywords":"Optokinetic reflex; Set (abstract data type); Eye movement; Electrooculography; Eye tracking; Smooth pursuit","score_opus":0.08473919096814453,"score_gpt":0.31419676010651076,"score_spread":0.22945756913836624,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6959712501","genre_codex":"empirical","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.665378,0.002301154,0.0020553027,0.00032143565,0.00006785077,0.00040336605,0.3267636,0.00017861881,0.0025306875],"genre_scores_gemma":[0.5870267,0.0007440174,0.0023945477,0.00018502632,0.000071680166,0.0010850511,0.40620348,0.00009994271,0.0021896018],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996886,0.000060548704,0.00004286317,0.00015193879,0.000023358325,0.000032705597],"domain_scores_gemma":[0.9994797,0.00015482146,0.00009299929,0.000117699536,0.00010639678,0.00004835712],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006978715,0.0006857168,0.0008109856,0.000756399,0.00048584444,0.0004798076,0.0007147027,0.00076359895,0.0044692648],"category_scores_gemma":[0.0019098832,0.00024079412,0.00034187292,0.0007046483,0.00026096977,0.00029135868,0.00045439735,0.0003654987,0.0016984222],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.018025903,0.0015859836,0.68526983,0.0043755537,0.0028511207,0.0032942626,0.0010459444,0.0018165791,0.01711736,0.00058060745,0.17687158,0.08716529],"study_design_scores_gemma":[0.0008897427,0.00040608898,0.9680729,0.00025009734,0.000900356,0.0021734845,0.00030480372,0.001368025,0.0013519884,0.00055213383,0.02367341,0.00005710926],"about_ca_topic_score_codex":0.013432856,"about_ca_topic_score_gemma":0.02097266,"teacher_disagreement_score":0.013432856,"about_ca_system_score_codex":0.00034047724,"about_ca_system_score_gemma":0.0003341798,"threshold_uncertainty_score":0.026709318},"labels":[],"label_agreement":null},{"id":"W7076374381","doi":"10.12751/g-node.4qrkhp","title":"Reporting the first minimally invasive spine surgery series in Nigeria: a descriptive single-center retrospective cohort study","year":2025,"lang":"en","type":"dataset","venue":"German Neuroinformatics Node","topic":"Geochemistry and Geologic Mapping","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":"Women and Children’s Health Research Institute","funders":"","keywords":"Retrospective cohort study; Cohort study; Lumbosacral joint; Cohort; Disease; SPINE (molecular biology)","score_opus":0.022357573786390486,"score_gpt":0.24070225491158231,"score_spread":0.21834468112519184,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7076374381","genre_codex":"dataset","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":[0.17056532,0.001690102,0.0009544207,0.0002597554,0.000100448335,0.00045183243,0.82254684,0.00009070978,0.0033405703],"genre_scores_gemma":[0.20889752,0.00186111,0.0024111187,0.00038128268,0.00006246109,0.00202574,0.78280973,0.00008816772,0.0014628072],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989506,0.000118134936,0.00033216106,0.000264378,0.00015894034,0.00017573523],"domain_scores_gemma":[0.9970022,0.00065220235,0.00086868176,0.0005299036,0.00071057765,0.00023640426],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011681214,0.00046468212,0.00087396667,0.0027315512,0.00074805116,0.0008269354,0.0008952794,0.0005253379,0.00543164],"category_scores_gemma":[0.005715505,0.0005413688,0.00062893657,0.004779446,0.00021201692,0.00055915077,0.0011253506,0.0007839959,0.0020782293],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015537196,0.00029196756,0.7949187,0.0033766483,0.00065773266,0.0011889628,0.0008584907,0.0008095867,0.0009996776,0.0011718693,0.16861086,0.025561918],"study_design_scores_gemma":[0.00036865074,0.00020291847,0.8518306,0.0040525296,0.0006788483,0.003031788,0.003018753,0.0009709765,0.0010376805,0.00097495475,0.13370751,0.00012476624],"about_ca_topic_score_codex":0.02237631,"about_ca_topic_score_gemma":0.03506837,"teacher_disagreement_score":0.02237631,"about_ca_system_score_codex":0.00087331486,"about_ca_system_score_gemma":0.0025068484,"threshold_uncertainty_score":0.044492126},"labels":[],"label_agreement":null},{"id":"W7092499391","doi":"10.12751/g-node.xzmv31","title":"Dataset for Findlay et al., 2025, Nature Neuroscience","year":2025,"lang":"en","type":"dataset","venue":"German Neuroinformatics Node","topic":"Sleep and Wakefulness Research","field":"Neuroscience","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":"Brock University","funders":"","keywords":"Session (web analytics); Key (lock); Sleep (system call); Sleep deprivation","score_opus":0.046177863460185084,"score_gpt":0.39411620488647253,"score_spread":0.34793834142628743,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7092499391","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00009099905,0.00017016008,0.00011573794,0.00007474392,0.000028219778,0.00001516752,0.99865746,0.00028989877,0.0005575495],"genre_scores_gemma":[0.000457599,0.00012535475,0.00050638505,0.000100597215,0.000010881183,0.00015856695,0.99795437,0.0001222177,0.0005639178],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99868494,0.0002367107,0.0001883883,0.00044333993,0.0002765563,0.00017009144],"domain_scores_gemma":[0.99622065,0.0017766164,0.00040706247,0.00066371734,0.00061397755,0.00031799803],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018583976,0.00240896,0.0016838802,0.0046560736,0.00093386753,0.0031095124,0.003001288,0.0028222841,0.12535696],"category_scores_gemma":[0.014229219,0.00057133526,0.0018977374,0.0056462893,0.00047858982,0.0014513127,0.0020449618,0.0017504867,0.10680776],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012306226,0.000023772245,0.00073817786,0.0022360643,0.00010551521,0.00004521762,0.000025035952,0.0003712216,0.00016327607,0.000752083,0.9919057,0.0035107916],"study_design_scores_gemma":[0.00044793315,0.000031275562,0.002975128,0.0009543066,0.00016314775,0.00014045436,0.000047003985,0.0005539783,0.00035330618,0.003373336,0.990921,0.00003904884],"about_ca_topic_score_codex":0.010102067,"about_ca_topic_score_gemma":0.025380729,"teacher_disagreement_score":0.12535696,"about_ca_system_score_codex":0.0015685786,"about_ca_system_score_gemma":0.0035904334,"threshold_uncertainty_score":0.41936082},"labels":[],"label_agreement":null}]}