{"meta":{"query_hash":"d58f13381c89","filters":{"venue":"International Journal of Embedded Systems"},"cohort_total":8,"direct_labels_cover":0,"predictions_cover":8,"exported":8,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/d58f13381c89","api":"https://metacan.xera.ac/api/v1/cohort?venue=International+Journal+of+Embedded+Systems"},"results":[{"id":"W2058952583","doi":"10.1504/ijes.2006.010171","title":"Using inclusion abstraction to construct Atomic State Class Graphs for Time Petri Nets","year":2006,"lang":"en","type":"article","venue":"International Journal of Embedded Systems","topic":"Petri Nets in System Modeling","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Petri net; Computer science; Abstraction; Construct (python library); Graph; Bounded function; Theoretical computer science; Concurrency; State space; Discrete mathematics; Algorithm; Programming language; Mathematics","score_opus":0.02689158909466154,"score_gpt":0.31247716474975423,"score_spread":0.2855855756550927,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2058952583","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3594147,0.00015474879,0.6339421,0.00024465396,0.005457886,0.00023509454,0.000019748031,0.00003393604,0.0004970961],"genre_scores_gemma":[0.9697222,0.0000038957414,0.029328618,0.00008163921,0.00067887927,0.000005225278,0.000003997316,0.000019169285,0.00015635257],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99687976,0.00013476082,0.0012778963,0.0002727353,0.0011698393,0.000265033],"domain_scores_gemma":[0.996615,0.0003048755,0.0012121237,0.0002445903,0.0014983788,0.0001250574],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015315356,0.00018667117,0.00036000187,0.0008431376,0.00017671863,0.00041950698,0.0013357,0.000082870036,0.000003733998],"category_scores_gemma":[0.00010629912,0.0001737886,0.00020154689,0.00036895683,0.000024178658,0.0008841969,0.0003422478,0.00016831001,0.000020429288],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029316318,0.00015870984,0.0007644637,0.000058297443,0.00035031379,0.00024765337,0.0013206933,0.78867894,0.17433757,0.018141428,0.007391221,0.008257544],"study_design_scores_gemma":[0.0014115426,0.0001236816,0.00018199017,0.00056504755,0.000018383646,0.0026480437,0.00008256049,0.9754296,0.0032759637,0.009215749,0.0067449976,0.00030245844],"about_ca_topic_score_codex":0.00024323366,"about_ca_topic_score_gemma":0.000010675892,"teacher_disagreement_score":0.6103075,"about_ca_system_score_codex":0.0005743609,"about_ca_system_score_gemma":0.00023408658,"threshold_uncertainty_score":0.70868933},"labels":[],"label_agreement":null},{"id":"W2088153552","doi":"10.1504/ijes.2010.039022","title":"A framework of embedded reconfigurable systems based on re-locatable virtual components","year":2010,"lang":"en","type":"article","venue":"International Journal of Embedded Systems","topic":"Embedded Systems Design Techniques","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Embedded system; Overhead (engineering); Field-programmable gate array; Task (project management); Component (thermodynamics); Virtual machine; Field (mathematics); Computer architecture; Distributed computing; Operating system; Systems engineering; Engineering","score_opus":0.02850426670051684,"score_gpt":0.29852512292454636,"score_spread":0.2700208562240295,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2088153552","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06526299,0.0004594906,0.8880393,0.0004859137,0.031649966,0.0010023152,0.00006260693,0.00029042794,0.012746981],"genre_scores_gemma":[0.9825124,0.0000099779845,0.015655318,0.00015423298,0.0010985297,0.00004347698,0.000007869615,0.00005321047,0.00046496297],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9929068,0.0007713388,0.0025388817,0.0005493418,0.002737957,0.000495668],"domain_scores_gemma":[0.99096584,0.0015107924,0.003031155,0.0013958304,0.002762458,0.00033392006],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0043767523,0.00045561622,0.0010825553,0.0011864183,0.00010577079,0.0006644468,0.0045690536,0.0004547271,0.000058415957],"category_scores_gemma":[0.0011193651,0.00040011504,0.00040102427,0.0005314446,0.00012158204,0.0010853611,0.00013987647,0.0012529945,0.00006628538],"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":[0.0009878589,0.0024305964,0.0014600724,0.00044967886,0.0013669452,0.0010283962,0.0035440547,0.0796995,0.45314562,0.41956854,0.034050576,0.0022681663],"study_design_scores_gemma":[0.0038682392,0.0026782202,0.00024014912,0.008102816,0.00007829703,0.0021034263,0.0014164287,0.83547455,0.12541583,0.0034192791,0.015787503,0.0014152607],"about_ca_topic_score_codex":0.00021295424,"about_ca_topic_score_gemma":0.000005449326,"teacher_disagreement_score":0.91724944,"about_ca_system_score_codex":0.0002672196,"about_ca_system_score_gemma":0.00047293963,"threshold_uncertainty_score":0.9998451},"labels":[],"label_agreement":null},{"id":"W2119566353","doi":"10.1504/ijes.2015.069997","title":"A flexible control study of variable speed limit in connected vehicle systems","year":2015,"lang":"en","type":"article","venue":"International Journal of Embedded Systems","topic":"Traffic control and management","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"National Science Foundation","keywords":"Speed limit; Flexibility (engineering); Software deployment; Limit (mathematics); Computer science; Variable (mathematics); Automotive engineering; Intelligent transportation system; Traffic congestion; Electronic speed control; Road traffic control; Control (management); Real-time computing; Simulation; Transport engineering; Engineering; Mathematics; Electrical engineering; Statistics; Artificial intelligence","score_opus":0.023866457583570318,"score_gpt":0.2507740556948546,"score_spread":0.2269075981112843,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2119566353","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9718312,0.0017337424,0.010760929,0.00007771757,0.00940606,0.0008176177,0.0000264965,0.00009645638,0.0052497867],"genre_scores_gemma":[0.9993249,0.000008337333,0.000032756314,0.00001085769,0.00038869726,0.000010964997,0.0000013972998,0.000019540976,0.00020251847],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978937,0.00014468393,0.0010190542,0.00010105124,0.00067197153,0.0001695273],"domain_scores_gemma":[0.9985662,0.00014092734,0.00031901442,0.00014534373,0.0007203842,0.000108092565],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011167733,0.0001374798,0.00047768746,0.00039886343,0.000008578279,0.00008228017,0.00041414186,0.000054407697,0.0000103729335],"category_scores_gemma":[0.00013250606,0.00012208376,0.000060141192,0.00018401757,0.00001074466,0.00020819226,0.000026170414,0.00016570181,0.000008905087],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002476153,0.00034311376,0.0019973067,0.000046835168,0.00075848773,0.00013360834,0.0011080969,0.98980635,0.0020414242,0.0011237087,0.0021483174,0.00024510562],"study_design_scores_gemma":[0.026628423,0.0010199363,0.0046326793,0.00075584505,0.00015590158,0.00019958308,0.01703932,0.9418939,0.00009880127,0.00008829643,0.00712715,0.00036020458],"about_ca_topic_score_codex":0.00035506807,"about_ca_topic_score_gemma":0.000032366217,"teacher_disagreement_score":0.04791252,"about_ca_system_score_codex":0.00022284607,"about_ca_system_score_gemma":0.00006146201,"threshold_uncertainty_score":0.49784312},"labels":[],"label_agreement":null},{"id":"W2804054616","doi":"10.1504/ijes.2018.10013359","title":"Exploration and application of the value of big data based on data-driven techniques for the hydraulic internet of things","year":2018,"lang":"en","type":"article","venue":"International Journal of Embedded Systems","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","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":"Dalhousie University","funders":"","keywords":"Big data; Warning system; Computer science; The Internet; Diversification (marketing strategy); Data science; Data mining; World Wide Web; Business","score_opus":0.06735651137505713,"score_gpt":0.3276325890754084,"score_spread":0.2602760777003512,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2804054616","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0010948577,0.000047333247,0.9963415,0.0014490379,0.00041061256,0.00040006317,0.000052430136,0.000014714347,0.0001894492],"genre_scores_gemma":[0.97959363,0.000021385255,0.01994088,0.00011904902,0.00026170578,0.000025811341,0.000011832139,0.0000062156246,0.000019513776],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986112,0.000080489655,0.0006388226,0.00017667428,0.00043764492,0.000055144832],"domain_scores_gemma":[0.9964294,0.00037185784,0.0013654127,0.0009997907,0.0008137102,0.000019856456],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011579497,0.00007562925,0.00016103215,0.00013238114,0.000043951237,0.000048816746,0.003193548,0.000045347962,7.737731e-7],"category_scores_gemma":[0.00017151117,0.000045784593,0.000054344266,0.00016506945,0.00013163278,0.0005100309,0.00040329818,0.0000865097,3.128962e-7],"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":[0.00050057407,0.00088421005,0.0012983717,0.00030655516,0.00082353543,0.0000012400085,0.0041525164,0.0052698874,0.08533341,0.31676212,0.02394086,0.5607267],"study_design_scores_gemma":[0.00017644695,0.00020565947,0.00014090173,0.00018490976,0.000023733299,0.00001772112,0.00008643138,0.9386274,0.048889518,0.0017932317,0.009806367,0.00004764525],"about_ca_topic_score_codex":0.0001408593,"about_ca_topic_score_gemma":0.000006420626,"teacher_disagreement_score":0.97849876,"about_ca_system_score_codex":0.000025891084,"about_ca_system_score_gemma":0.00007385121,"threshold_uncertainty_score":0.593446},"labels":[],"label_agreement":null},{"id":"W3048800322","doi":"10.1504/ijes.2020.10031197","title":"A software-based calibration approach to increase the robustness of embedded systems","year":2020,"lang":"en","type":"article","venue":"International Journal of Embedded Systems","topic":"Real-Time Systems Scheduling","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":"Ontario Tech University","funders":"","keywords":"Robustness (evolution); Computer science; Calibration; Software; Component (thermodynamics); Robustness testing; Embedded system; Reliability engineering; Kernel (algebra); Real-time computing; Engineering; Operating system","score_opus":0.03146036450752794,"score_gpt":0.26230050714015546,"score_spread":0.23084014263262753,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3048800322","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.023780573,0.00037110518,0.96926,0.001250781,0.003935295,0.00066480914,0.000018741894,0.00007472733,0.00064399466],"genre_scores_gemma":[0.9729857,0.0000024841995,0.02493505,0.0002602475,0.0016568796,0.000042275755,0.000008008912,0.000031732216,0.00007761746],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9942612,0.0010932965,0.0018898748,0.0004070782,0.0020493953,0.0002991361],"domain_scores_gemma":[0.99454194,0.0006713633,0.0018717184,0.0005772754,0.0019490384,0.00038867583],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029196849,0.00029391563,0.0006879811,0.00037371498,0.00009006586,0.00084584544,0.0033938254,0.0001329287,0.0000050528693],"category_scores_gemma":[0.0012797046,0.00020999541,0.00029338367,0.000674781,0.0000542238,0.0010847184,0.00024363802,0.0003431753,0.000014600331],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014819889,0.0001375775,0.0002887628,0.00018756988,0.00029594722,0.000053544325,0.002191003,0.98433787,0.003175766,0.0050668498,0.0037350547,0.00038183542],"study_design_scores_gemma":[0.0009531461,0.00016588958,0.000056377077,0.0004918023,0.000031140964,0.00047590068,0.0011470541,0.9949145,0.0008235574,0.000018725916,0.0006936494,0.00022830818],"about_ca_topic_score_codex":0.0002694569,"about_ca_topic_score_gemma":0.0000018688777,"teacher_disagreement_score":0.94920516,"about_ca_system_score_codex":0.00019087539,"about_ca_system_score_gemma":0.0005784802,"threshold_uncertainty_score":0.8563365},"labels":[],"label_agreement":null},{"id":"W3177210555","doi":"10.1504/ijes.2021.10039195","title":"Selection gate-based networks for semantic relation extraction","year":2021,"lang":"en","type":"article","venue":"International Journal of Embedded Systems","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Jiangxi Normal University; Education Department of Henan Province; Henan University; Southeast University; Queen's University","keywords":"Computer science; Selection (genetic algorithm); Relation (database); Extraction (chemistry); Artificial intelligence; Relationship extraction; Natural language processing; Data mining; Chemistry","score_opus":0.025799392012206594,"score_gpt":0.3084677602825342,"score_spread":0.2826683682703276,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3177210555","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017610407,0.00042263008,0.97228104,0.00095796504,0.008302129,0.000097623575,0.0000010035816,0.000039300496,0.0002878907],"genre_scores_gemma":[0.9857755,0.000022520217,0.012999864,0.00010792093,0.0008934493,0.0000069318166,0.0000059512586,0.0000073829315,0.00018053566],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998547,0.00014101803,0.000555789,0.00016160407,0.0004579225,0.00013662982],"domain_scores_gemma":[0.9972185,0.0004103022,0.0005923927,0.00012769902,0.0016030795,0.000048027312],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000742767,0.00009396996,0.00018549802,0.00018312177,0.000064392836,0.00031619525,0.00041579275,0.000089828325,0.000007393726],"category_scores_gemma":[0.00035700417,0.00008453392,0.00015479629,0.00017443193,0.000011970676,0.0006198191,0.000025339557,0.00014535627,0.0000044156795],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027191715,0.00036697628,0.0075854184,0.000084827385,0.00063112646,0.00036362416,0.00049784884,0.88684666,0.020738414,0.055367716,0.0071298038,0.020115698],"study_design_scores_gemma":[0.0008233619,0.00009432975,0.0024813828,0.00017753376,0.000022672148,0.0009541669,0.00012513874,0.98720944,0.004146761,0.00095939357,0.0028980745,0.00010772337],"about_ca_topic_score_codex":0.0000123001855,"about_ca_topic_score_gemma":0.000011241375,"teacher_disagreement_score":0.96816504,"about_ca_system_score_codex":0.00014069253,"about_ca_system_score_gemma":0.0001985481,"threshold_uncertainty_score":0.3447193},"labels":[],"label_agreement":null},{"id":"W4238243910","doi":"10.1504/ijes.2020.110662","title":"A software-based calibration approach to increase the robustness of embedded systems","year":2020,"lang":"en","type":"article","venue":"International Journal of Embedded Systems","topic":"Real-Time Systems Scheduling","field":"Computer Science","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":"Ontario Tech University","funders":"","keywords":"Robustness (evolution); Computer science; Calibration; Software; Robustness testing; Component (thermodynamics); Embedded system; Real-time computing; Reliability engineering; Engineering; Operating system","score_opus":0.03146036450752794,"score_gpt":0.26230050714015546,"score_spread":0.23084014263262753,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4238243910","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.023780573,0.00037110518,0.96926,0.001250781,0.003935295,0.00066480914,0.000018741894,0.00007472733,0.00064399466],"genre_scores_gemma":[0.9729857,0.0000024841995,0.02493505,0.0002602475,0.0016568796,0.000042275755,0.000008008912,0.000031732216,0.00007761746],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9942612,0.0010932965,0.0018898748,0.0004070782,0.0020493953,0.0002991361],"domain_scores_gemma":[0.99454194,0.0006713633,0.0018717184,0.0005772754,0.0019490384,0.00038867583],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029196849,0.00029391563,0.0006879811,0.00037371498,0.00009006586,0.00084584544,0.0033938254,0.0001329287,0.0000050528693],"category_scores_gemma":[0.0012797046,0.00020999541,0.00029338367,0.000674781,0.0000542238,0.0010847184,0.00024363802,0.0003431753,0.000014600331],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014819889,0.0001375775,0.0002887628,0.00018756988,0.00029594722,0.000053544325,0.002191003,0.98433787,0.003175766,0.0050668498,0.0037350547,0.00038183542],"study_design_scores_gemma":[0.0009531461,0.00016588958,0.000056377077,0.0004918023,0.000031140964,0.00047590068,0.0011470541,0.9949145,0.0008235574,0.000018725916,0.0006936494,0.00022830818],"about_ca_topic_score_codex":0.0002694569,"about_ca_topic_score_gemma":0.0000018688777,"teacher_disagreement_score":0.94920516,"about_ca_system_score_codex":0.00019087539,"about_ca_system_score_gemma":0.0005784802,"threshold_uncertainty_score":0.8563365},"labels":[],"label_agreement":null},{"id":"W4391457419","doi":"10.1504/ijes.2023.136376","title":"<i>AR</i><SUP align=\"right\">2</SUP><i>PNET</i>: an adversarially robust re-weighting prototypical network for few-shot learning","year":2023,"lang":"en","type":"article","venue":"International Journal of Embedded Systems","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Weighting; Computer science; Physics","score_opus":0.03182528465471989,"score_gpt":0.2903528276723231,"score_spread":0.2585275430176032,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391457419","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04026294,0.0010262348,0.9361221,0.0025074782,0.0060281865,0.0037406846,0.00014331088,0.0014300365,0.008739001],"genre_scores_gemma":[0.9392458,0.00025111454,0.043862745,0.000302806,0.008585412,0.0010021708,0.00018900403,0.0002180566,0.0063428883],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9899883,0.0009134026,0.0033393148,0.0014929167,0.0028163728,0.0014496478],"domain_scores_gemma":[0.9911821,0.0011197951,0.002872267,0.0011956892,0.0028348898,0.0007952685],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.004973422,0.00093808403,0.0013369322,0.0011506219,0.0012441344,0.001549337,0.004341427,0.0007014996,0.00019470858],"category_scores_gemma":[0.00063575193,0.000886383,0.0010238823,0.0016315463,0.00024012478,0.0020452992,0.000722033,0.0010904218,0.00022226643],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010755433,0.00097468216,0.00043089525,0.00028682308,0.001945651,0.0006630397,0.0031607242,0.37517262,0.13439257,0.35714036,0.11147656,0.0132805165],"study_design_scores_gemma":[0.002093501,0.0010670499,0.00052227796,0.0009775942,0.00013899834,0.00093602715,0.00012935694,0.535293,0.0013551622,0.0036275347,0.45273426,0.001125284],"about_ca_topic_score_codex":0.00001874008,"about_ca_topic_score_gemma":0.00012104808,"teacher_disagreement_score":0.8989829,"about_ca_system_score_codex":0.0008368266,"about_ca_system_score_gemma":0.0007088563,"threshold_uncertainty_score":0.99948716},"labels":[],"label_agreement":null}]}