{"meta":{"query_hash":"809ef6355a59","filters":{"venue":"International Test Conference"},"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/809ef6355a59","api":"https://metacan.xera.ac/api/v1/cohort?venue=International+Test+Conference"},"results":[{"id":"W2751941728","doi":"10.1109/itc.2001.10039","title":"Correct By Construction DFT Or Make It Work DFT - Where Are We Today?","year":2001,"lang":"en","type":"article","venue":"International Test Conference","topic":"Analog and Mixed-Signal Circuit Design","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Mixed-signal integrated circuit; Electronic circuit; Work (physics); Variety (cybernetics); Electronic design automation; SIGNAL (programming language); Circuit design; Electronic engineering; Integrated circuit; Electrical engineering; Embedded system; Engineering; Artificial intelligence; Mechanical engineering","score_opus":0.031153905168754645,"score_gpt":0.24362578656697034,"score_spread":0.2124718813982157,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2751941728","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":[0.023346901,0.001257848,0.7724208,0.0025044628,0.0053570657,0.00045093684,0.000336605,0.0011795755,0.1931458],"genre_scores_gemma":[0.98636454,0.001119879,0.00012126925,0.00017250965,0.00023353577,0.000028127164,0.00004507193,0.000027694814,0.011887343],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989434,0.00002101917,0.0002708063,0.00024471935,0.00028082047,0.00023924084],"domain_scores_gemma":[0.99925363,0.00022651425,0.00007604835,0.00015566005,0.00018925178,0.00009887289],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00007952603,0.00020569743,0.00018310045,0.00008652038,0.000058712732,0.00012149832,0.00032710028,0.000114508715,0.003635051],"category_scores_gemma":[0.00010216663,0.00019527113,0.000057194262,0.00017994527,0.00007553073,0.00015814847,0.00002273204,0.00024397689,0.00034364406],"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":[0.00017002088,0.00023891445,0.09307293,0.00009942619,0.00041119198,0.00042198208,0.00057149853,0.0025502783,0.01088203,0.02979772,0.6228791,0.23890494],"study_design_scores_gemma":[0.0012284142,0.00014645877,0.0040218798,0.0010578964,0.0000570918,0.00061169453,0.00095655606,0.009366974,0.0028367066,0.0071681007,0.9714886,0.0010596573],"about_ca_topic_score_codex":0.000033029097,"about_ca_topic_score_gemma":0.00018165573,"teacher_disagreement_score":0.96301764,"about_ca_system_score_codex":0.00010868827,"about_ca_system_score_gemma":0.000050656097,"threshold_uncertainty_score":0.99727577},"labels":[],"label_agreement":null},{"id":"W2983001301","doi":"","title":"Binary Opinion Dynamics with Biased Agents and Agents with Different Degrees of Stubbornness.","year":2016,"lang":"en","type":"article","venue":"International Test Conference","topic":"Opinion Dynamics and Social Influence","field":"Physics and Astronomy","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":"Multi-agent system; Computer science; Function (biology); Agent-based model; Majority rule; Binary number; Fraction (chemistry); Artificial intelligence; Mathematics","score_opus":0.02651717633645776,"score_gpt":0.2808543129526252,"score_spread":0.2543371366161674,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2983001301","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":[0.98504937,0.0000044278663,0.011147144,0.00062029436,0.00014601921,0.00012196315,0.00034726821,0.000013952638,0.0025495554],"genre_scores_gemma":[0.99926186,0.000024783258,0.00023077428,0.000018585453,0.000052003703,0.00001797993,0.000059399645,0.000010702125,0.0003239428],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99924785,0.000015706702,0.00016912974,0.00020700925,0.00023756808,0.00012276151],"domain_scores_gemma":[0.99929637,0.00012036793,0.00015800667,0.00012227442,0.0002414153,0.00006154457],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000035549067,0.00013836732,0.00014845964,0.000052427393,0.00004685625,0.000041777566,0.00020300376,0.000024669935,0.0002480579],"category_scores_gemma":[0.000010793347,0.00008255206,0.000024670977,0.000053622585,0.00015701767,0.00014748219,0.00007021537,0.000055927172,0.0000034696657],"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":[0.000041786097,0.00017797868,0.9311102,0.000008326945,0.00008693987,0.0000016335074,0.00010492136,0.000034332093,0.0001865086,0.0595504,0.000041576655,0.008655374],"study_design_scores_gemma":[0.001280902,0.0002953385,0.9699041,0.0004749746,0.000012693287,0.0000015669495,0.00020775944,0.025464112,0.00014177943,0.0016888786,0.00030194139,0.00022590409],"about_ca_topic_score_codex":0.00019716157,"about_ca_topic_score_gemma":0.00004994788,"teacher_disagreement_score":0.05786152,"about_ca_system_score_codex":0.000032006556,"about_ca_system_score_gemma":0.000055809323,"threshold_uncertainty_score":0.33663756},"labels":[],"label_agreement":null},{"id":"W2984069308","doi":"","title":"Scheduling Jobs with Estimation Errors for Multi-server Systems.","year":2017,"lang":"en","type":"article","venue":"International Test Conference","topic":"Distributed and Parallel Computing Systems","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":"McMaster University","funders":"","keywords":"Computer science; Scheduling (production processes); Server; Robustness (evolution); Distributed computing; Rate-monotonic scheduling; Job scheduler; Real-time computing; Dynamic priority scheduling; A priori and a posteriori; Computer network; Mathematical optimization; Quality of service; Mathematics","score_opus":0.093663370060294,"score_gpt":0.33538859945193766,"score_spread":0.24172522939164365,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2984069308","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":[0.021663474,0.000019089295,0.97420794,0.0008563092,0.0013154305,0.00025789998,0.000031209325,0.00013873063,0.0015099137],"genre_scores_gemma":[0.88862574,0.0000012457161,0.11035035,0.00003390296,0.00010734018,0.000048457743,0.000024621011,0.0000073360216,0.00080100144],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99889106,0.000018255458,0.00023733906,0.0003549609,0.00030555832,0.00019284432],"domain_scores_gemma":[0.99824786,0.0001508059,0.00035924758,0.0005734263,0.00060046685,0.00006822028],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.00027335403,0.00014127357,0.00014848122,0.000057224614,0.00033225407,0.001506372,0.001914222,0.000051918058,0.0000050250123],"category_scores_gemma":[0.00049072225,0.00012064574,0.00004305765,0.000038593655,0.000052445434,0.00074751326,0.00017657348,0.000088154884,0.00004669565],"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":[0.000038301616,0.0003253411,0.114033416,0.0001707328,0.00019081196,0.00004259704,0.00071682583,0.08765136,0.0004529605,0.7786571,0.0006652238,0.017055333],"study_design_scores_gemma":[0.0006198735,0.000058528425,0.02612373,0.00025373706,0.000004401034,0.000025986727,0.000015757152,0.970208,0.00007479,0.0004709414,0.0019743973,0.00016988794],"about_ca_topic_score_codex":0.00017975603,"about_ca_topic_score_gemma":0.000032688728,"teacher_disagreement_score":0.8825566,"about_ca_system_score_codex":0.000047615067,"about_ca_system_score_gemma":0.00012394608,"threshold_uncertainty_score":0.99953014},"labels":[],"label_agreement":null},{"id":"W2985401038","doi":"","title":"Sector: TCAM Space Aware Routing on SDN.","year":2016,"lang":"en","type":"article","venue":"International Test Conference","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; University of Toronto","funders":"","keywords":"Computer science; Computer network; Scalability; Routing (electronic design automation); Distributed computing; Software-defined networking; Network topology; Content-addressable memory; Flexibility (engineering); Network congestion; Scheme (mathematics); Operating system; Artificial neural network","score_opus":0.030432791332294967,"score_gpt":0.2525892271004633,"score_spread":0.22215643576816832,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2985401038","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":[0.018079937,0.000019706698,0.93779045,0.014095339,0.0020462659,0.00011257593,0.000028291623,0.00051274773,0.027314687],"genre_scores_gemma":[0.9935412,0.000019565632,0.0029007632,0.00062942685,0.00032488554,0.000013247827,0.0000026875493,0.000009981824,0.0025582756],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9987228,0.00002441787,0.00018707471,0.00041793814,0.0003992332,0.00024852168],"domain_scores_gemma":[0.99833226,0.00084695866,0.00010873339,0.00038193027,0.00024270486,0.00008742998],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013475778,0.00015060935,0.00011282202,0.0000808153,0.0000719553,0.00020317682,0.001152809,0.000057878606,0.00031948683],"category_scores_gemma":[0.0004413525,0.00010636928,0.00005542156,0.00012812595,0.000041066836,0.00035179366,0.0002477942,0.0001137465,0.00056113815],"study_design_candidate":"theoretical_or_conceptual","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":[0.000012995461,0.00013998075,0.054267418,0.0000037352568,0.000036171914,0.000050326133,0.00020974329,0.00006927958,0.002445169,0.801791,0.008939048,0.13203512],"study_design_scores_gemma":[0.005214502,0.0013196726,0.31036103,0.0029121644,0.000024656807,0.00027261645,0.00008449652,0.2682124,0.024549136,0.14386235,0.24012117,0.0030658005],"about_ca_topic_score_codex":0.000032011823,"about_ca_topic_score_gemma":0.000017475972,"teacher_disagreement_score":0.97546124,"about_ca_system_score_codex":0.000086913984,"about_ca_system_score_gemma":0.00009006241,"threshold_uncertainty_score":0.72124827},"labels":[],"label_agreement":null},{"id":"W2985617980","doi":"","title":"Offering Resilient and Bandwidth Guaranteed Services in Multi-tenant Cloud Networks: Harnessing the Sharing Opportunities.","year":2016,"lang":"en","type":"article","venue":"International Test Conference","topic":"Cloud Computing and Resource Management","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":"Concordia University","funders":"","keywords":"Cloud computing; Computer science; Provisioning; Bandwidth (computing); Dynamic bandwidth allocation; Backup; Exploit; Bandwidth allocation; Revenue; Computer network; Distributed computing; Bandwidth throttling; Computer security; Business; Operating system; Engineering","score_opus":0.049880123153988536,"score_gpt":0.2611704675059272,"score_spread":0.21129034435193866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2985617980","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":[0.67662036,0.00024146638,0.30568832,0.013286693,0.001304425,0.00024166206,0.000003836898,0.00020004476,0.0024132119],"genre_scores_gemma":[0.9973607,0.000060676997,0.0008767437,0.00042074893,0.00010745161,0.000012372296,6.500376e-7,0.0000070414785,0.001153579],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987816,0.00003800344,0.00027740918,0.0003966532,0.00025492435,0.0002514163],"domain_scores_gemma":[0.9991062,0.00030351113,0.000121670695,0.00032678296,0.00008927471,0.000052558033],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044744494,0.00014165865,0.00012135326,0.00010413539,0.0001390234,0.00040449793,0.0012913859,0.000033107084,0.00001068954],"category_scores_gemma":[0.000055659653,0.00007322547,0.000029819143,0.00010685627,0.00008427746,0.0000866173,0.0010562196,0.00011225338,0.000005398231],"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":[0.000043734868,0.00030101146,0.18282592,0.00008172355,0.00010137673,0.00026534768,0.005174199,0.009113456,0.0014439559,0.107278325,0.00014152985,0.69322944],"study_design_scores_gemma":[0.0005379956,0.000024191157,0.05278663,0.00078336854,0.0000029792807,0.000023174152,0.00020430847,0.94078285,0.00006801276,0.0009507582,0.0036742522,0.00016147143],"about_ca_topic_score_codex":0.00014131003,"about_ca_topic_score_gemma":0.00010688879,"teacher_disagreement_score":0.9316694,"about_ca_system_score_codex":0.000054297016,"about_ca_system_score_gemma":0.000025741518,"threshold_uncertainty_score":0.39005828},"labels":[],"label_agreement":null},{"id":"W2986364822","doi":"","title":"PlanetIgnite: A Self-Assembling, Lightweight, Infrastructure-as-a-Service Edge Cloud.","year":2016,"lang":"en","type":"article","venue":"International Test Conference","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Cloud computing; PlanetLab; Computer science; Software deployment; Operating system; Python (programming language); Edge computing; Enhanced Data Rates for GSM Evolution; Node (physics); Computer network; The Internet; Engineering; Telecommunications","score_opus":0.015322827442693582,"score_gpt":0.24924512856473904,"score_spread":0.23392230112204546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2986364822","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":[0.35577685,0.0001250988,0.4148557,0.027209474,0.05175798,0.0005089267,0.000017019362,0.0022393828,0.1475096],"genre_scores_gemma":[0.9809137,0.00003504721,0.013181822,0.0015892304,0.0032981762,0.000014390661,0.000009340606,0.00001716822,0.00094112265],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980851,0.00003974601,0.00036353883,0.0005780372,0.0005342493,0.000399348],"domain_scores_gemma":[0.9979202,0.0005923891,0.00019620203,0.00048466993,0.0006386436,0.00016786439],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00019370878,0.00025641712,0.00018370796,0.00019573074,0.00013587513,0.00040703133,0.0024012146,0.00011800925,0.00013325321],"category_scores_gemma":[0.00023820596,0.00018877328,0.000060854614,0.00029682476,0.000034427045,0.0006317394,0.0006353275,0.00019133888,0.0013157489],"study_design_candidate":"not_applicable","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":[0.0000651667,0.00067060255,0.082824,0.00008353458,0.00035213394,0.00036231693,0.00572602,0.000019088518,0.05193229,0.48412824,0.12960392,0.24423268],"study_design_scores_gemma":[0.0020188454,0.00029602018,0.05211194,0.0005533301,0.000021020604,0.00043369038,0.000021312782,0.047497127,0.018458834,0.07878757,0.79852,0.0012802492],"about_ca_topic_score_codex":0.000057762387,"about_ca_topic_score_gemma":0.000008883537,"teacher_disagreement_score":0.66891617,"about_ca_system_score_codex":0.00011705616,"about_ca_system_score_gemma":0.00031330937,"threshold_uncertainty_score":0.9994618},"labels":[],"label_agreement":null},{"id":"W2986715421","doi":"","title":"Fluctuations Around the Mean-Field for a Large Scale Erlang Loss System Under the SQ(d) Load Balancing.","year":2019,"lang":"en","type":"article","venue":"International Test Conference","topic":"Advanced Queuing Theory Analysis","field":"Business, Management and Accounting","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":"Erlang (programming language); Server; Poisson point process; Scaling; Mathematics; Stochastic process; Point process; Computer science; Statistics","score_opus":0.01605728233050696,"score_gpt":0.2581851506786287,"score_spread":0.24212786834812172,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2986715421","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":[0.43712145,0.00009043025,0.43094808,0.02883634,0.0026241976,0.0013272208,0.00008086901,0.00037869313,0.09859273],"genre_scores_gemma":[0.9934158,0.0000019256959,0.00015097666,0.0026954906,0.00080745266,0.00007616457,0.000032658318,0.000015471469,0.002804103],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99894905,0.000013561239,0.00023108255,0.00024419246,0.0003583895,0.00020370174],"domain_scores_gemma":[0.9978306,0.00097408163,0.00021946177,0.00034422107,0.00062355096,0.000008042344],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005977377,0.00013582797,0.0001317139,0.000068072084,0.0002676826,0.0003957635,0.0007106816,0.00004243005,0.00037207338],"category_scores_gemma":[0.00042340098,0.00008528116,0.00010424465,0.00019405509,0.000039709365,0.00054946425,0.00015718612,0.00013889335,0.0005665589],"study_design_candidate":"theoretical_or_conceptual","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":[0.000033442826,0.0000471964,0.008382993,0.000047032358,0.00009756108,0.0000013672728,0.00018546337,0.0023475385,0.0005063955,0.9869689,0.00095313275,0.00042902437],"study_design_scores_gemma":[0.0011468359,0.000023018258,0.0063215843,0.00029668474,0.00020236807,0.00001343266,0.00984121,0.79830104,0.00019356863,0.09294877,0.09026063,0.00045084802],"about_ca_topic_score_codex":0.00015974701,"about_ca_topic_score_gemma":0.0005866684,"teacher_disagreement_score":0.8940201,"about_ca_system_score_codex":0.000097051234,"about_ca_system_score_gemma":0.000047357295,"threshold_uncertainty_score":0.7282158},"labels":[],"label_agreement":null},{"id":"W2989126433","doi":"","title":"On Occupancy Based Randomized Routing Schemes in Large Systems of Shared Servers.","year":2018,"lang":"en","type":"article","venue":"International Test Conference","topic":"Advanced Queuing Theory Analysis","field":"Business, Management and Accounting","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":"Server; Computer science; Queue; Routing (electronic design automation); Fixed point; Exponential distribution; Mathematics; Field (mathematics); Statistics; Computer network","score_opus":0.022145484702574415,"score_gpt":0.2736501199179476,"score_spread":0.25150463521537314,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2989126433","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":[0.8743759,0.00003646591,0.07431345,0.001224042,0.0012606254,0.0006762629,0.000065430264,0.00022647847,0.04782139],"genre_scores_gemma":[0.998664,9.1424965e-7,0.00033999796,0.00042032189,0.00028691502,0.000025892152,0.000047007255,0.000011566716,0.00020338975],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988595,0.00002985341,0.00041586478,0.00024084131,0.00028907493,0.00016483378],"domain_scores_gemma":[0.99820566,0.0006003939,0.00041064192,0.00018432482,0.0005914561,0.0000074938484],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000787787,0.00012886246,0.00032606692,0.00033827376,0.00004875399,0.00012658825,0.00038901423,0.000043010234,0.0006766533],"category_scores_gemma":[0.0037516463,0.000121821686,0.0000916239,0.0002939005,0.0000917854,0.00052889274,0.000095673844,0.00009784711,0.00015165644],"study_design_candidate":"theoretical_or_conceptual","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":[0.0033682426,0.00021038365,0.040822852,0.00006910252,0.00007380812,0.000009407386,0.00004582984,0.0009768443,0.00066823274,0.95334345,0.00009621748,0.00031560563],"study_design_scores_gemma":[0.027174663,0.000014367071,0.002697712,0.00083944906,0.000043005733,4.2308238e-7,0.00009521472,0.9486702,0.00037831074,0.018565346,0.0012679114,0.00025339363],"about_ca_topic_score_codex":0.0002478455,"about_ca_topic_score_gemma":0.0000943033,"teacher_disagreement_score":0.94769335,"about_ca_system_score_codex":0.000040138595,"about_ca_system_score_gemma":0.00002769013,"threshold_uncertainty_score":0.7408879},"labels":[],"label_agreement":null}]}