{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":28,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":28,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"a35fcce88ba5","filters":{"topic":"COVID-19, Geopolitics, Technology, Migration"}},"results":[{"id":"W4413574602","doi":"10.64628/aam.msncnypfa","title":"Making sense of COVID-19 vaccine hesitancy in Russia: Lessons from the past and present","year":2021,"lang":"en","type":"preprint","venue":"","topic":"COVID-19, Geopolitics, Technology, Migration","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Queen's University","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Virology; Political science; Sense (electronics); Pandemic; History; Medicine; Engineering; Outbreak; Infectious disease (medical specialty)","authors":[{"name":"Samantha King","is_ca":true},{"name":"Natalia Mukhina","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1061993839591829,"gpt":0.4092702632643574,"spread":0.3030708793051746,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001007746,0.0002143136,0.0004225459,0.0001659987,0.000293685,0.0001372953,0.0004357424,0.000568161,0.0002773063],"category_scores_gemma":[0.002837428,0.0001784716,0.00009808817,0.0003204758,0.0003159555,0.00007740651,0.001065992,0.0006187633,0.00000262399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006309282,"about_ca_system_score_gemma":0.001545429,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2086731,"about_ca_topic_score_gemma":0.4671633,"domain_scores_codex":[0.997582,0.0005731205,0.0004758218,0.0006144752,0.0003896779,0.0003649495],"domain_scores_gemma":[0.997296,0.001474022,0.0003030508,0.0006973775,0.0001038517,0.0001257029],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005868822,0.0003091017,0.5754884,0.0005251447,0.0002291488,0.0002173027,0.1071597,0.0008263185,0.0001336433,0.2972343,0.01320749,0.004610822],"study_design_scores_gemma":[0.001668254,0.00005638001,0.3618011,0.0007274742,0.000297364,0.000008963236,0.2303143,0.001888565,0.0003311333,0.2901543,0.1115808,0.001171341],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.674969,0.002844404,0.004860974,0.3115383,0.0004793986,0.001164836,0.0001424148,0.0002272881,0.003773336],"genre_scores_gemma":[0.9956472,0.0007856796,0.0009147519,0.001796263,0.0003068255,0.00004813178,0.00003980622,0.00001461719,0.0004467076],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3206782,"threshold_uncertainty_score":0.7965964,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3085085237","doi":"10.18500/0869-6632-2020-28-2-158-167","title":"World market development scenario in the context of the coronavirus crisis","year":2020,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"COVID-19, Geopolitics, Technology, Migration","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Context (archaeology); Pandemic; Economics; Quarter (Canadian coin); World economy; Coronavirus disease 2019 (COVID-19); Coronavirus; Unemployment; Shock (circulatory); Development economics; Economy; Macroeconomics; Geography; Political science; Disease; Infectious disease (medical specialty)","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.3949796361022924,"gpt":0.5674038647652114,"spread":0.172424228662919,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003099568,0.0002017268,0.0004715649,0.0003742701,0.0005594704,0.0005067344,0.004684152,0.0001234153,0.004412677],"category_scores_gemma":[0.002169277,0.0001439771,0.0001442736,0.001980396,0.0005512802,0.0007903797,0.0008417048,0.0005280523,0.0000119522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004033325,"about_ca_system_score_gemma":0.00105124,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0233267,"about_ca_topic_score_gemma":0.06794088,"domain_scores_codex":[0.9965511,0.000875819,0.0008575963,0.0003266404,0.0009799001,0.000408919],"domain_scores_gemma":[0.9975963,0.0008013792,0.000775743,0.0004146121,0.0002526266,0.0001593544],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001221322,0.000188604,0.7764315,0.00005819857,0.00008605204,0.00001245682,0.03073422,0.00002375877,0.0009155602,0.00372398,0.1689666,0.01873697],"study_design_scores_gemma":[0.0003530044,0.000005669679,0.6040471,0.0001358309,0.00003539471,9.398614e-7,0.01451005,0.00002533499,0.00410537,0.00502169,0.3715325,0.0002271197],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9382942,0.005802532,0.0001127818,0.03598146,0.0006495317,0.001564845,0.0000388024,0.00005978511,0.01749607],"genre_scores_gemma":[0.9901643,0.001248734,0.00009118081,0.007858711,0.0001049287,0.00004342962,0.000001943988,0.00001726394,0.0004695118],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2025659,"threshold_uncertainty_score":0.9964975,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2912204514","doi":"10.5194/isprs-archives-xlii-4-1-2018","title":"PREFACE – ISPRS TECHNICAL COMMISSION IV MIDTERM SYMPOSIUM 2018","year":2018,"lang":"en","type":"article","venue":"The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences","topic":"COVID-19, Geopolitics, Technology, Migration","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Simon Fraser University","funders":"","keywords":"Commission; Political science; Engineering; Library science; Computer science; Law","authors":[{"name":"Sisi Zlatanova","is_ca":false},{"name":"Suzana Dragićević","is_ca":true},{"name":"G. Sithole","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02642034549378744,"gpt":0.3069437793627937,"spread":0.2805234338690063,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.002510386,0.0004495067,0.0004531076,0.001127809,0.00318341,0.0009455576,0.002564471,0.0001985523,0.00002103915],"category_scores_gemma":[0.002239355,0.0003026256,0.0003906253,0.001296329,0.01034816,0.0006944482,0.001329186,0.0005722037,0.000008125538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001625985,"about_ca_system_score_gemma":0.0006475249,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8967566,"about_ca_topic_score_gemma":0.5722189,"domain_scores_codex":[0.9942642,0.0005245098,0.001553204,0.0005127801,0.002403294,0.0007419669],"domain_scores_gemma":[0.9952898,0.001468514,0.001792065,0.0006646307,0.0005211553,0.0002638456],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001507827,0.00002993844,0.0004495009,0.00003453204,0.00006232908,2.793559e-7,0.008393099,0.0005010712,0.003182453,0.00008027085,0.0003634058,0.9867523],"study_design_scores_gemma":[0.0006179499,0.0002026408,0.002818168,0.000317424,0.00004791938,0.00006665653,0.004165257,0.9253859,0.006613906,0.01148046,0.04794401,0.0003397],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009098865,0.0000266635,0.9334906,0.02095898,0.002753653,0.0009829202,0.0001028296,0.0001298526,0.03245566],"genre_scores_gemma":[0.9937616,0.0002214793,0.00300932,0.002214731,0.0003504435,6.564243e-7,0.00003080381,0.00001380622,0.0003971353],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9864126,"threshold_uncertainty_score":0.9999426,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2063810721","doi":"10.1136/bmj.326.7386.413","title":"Anti-Glaxo campaign heats up in United States","year":2003,"lang":"en","type":"article","venue":"BMJ","topic":"COVID-19, Geopolitics, Technology, Migration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Pharmacy; TRIPS architecture; Business; Backlash; Advertising; Political science; Law; Engineering; Transport engineering","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.05725247817193684,"gpt":0.3863814652914114,"spread":0.3291289871194745,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009659425,0.00008013991,0.000122121,0.0002706542,0.0001886104,0.00003679435,0.000157371,0.0001503821,0.0001433077],"category_scores_gemma":[0.002410829,0.00008642484,0.0000271454,0.0008273703,0.0002533263,0.00009978524,0.00001968936,0.0001285741,0.00008440064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000284944,"about_ca_system_score_gemma":0.000370467,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02479235,"about_ca_topic_score_gemma":0.03666093,"domain_scores_codex":[0.9987718,0.0002738466,0.000205753,0.0001819279,0.0001996088,0.0003670442],"domain_scores_gemma":[0.9993768,0.0002039579,0.00005975026,0.0002027282,0.00007652283,0.00008028132],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000121929,0.0001653342,0.4103713,0.00003593944,0.00001999291,0.00004266049,0.04128267,0.0004897898,0.000135616,0.4715869,0.07407891,0.001778749],"study_design_scores_gemma":[0.0004763399,0.00004262297,0.01912483,0.00002951331,0.000007714666,0.000001856074,0.03252834,0.000302193,0.0007857124,0.04875395,0.8976843,0.0002625852],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.977125,0.00009568332,0.0003396188,0.01186099,0.0004266924,0.0004897002,0.0000101754,0.0002346093,0.009417496],"genre_scores_gemma":[0.9951736,0.00007897378,0.000264698,0.001650656,0.00007274833,0.0000242858,0.00001883896,0.000008248429,0.002707934],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8236054,"threshold_uncertainty_score":0.9817017,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3184289431","doi":"10.32687/0869-866x-2021-29-s1-713-719","title":"PRACTICAL AND FUNCTIONAL RESEARCH OF THE INTERACTION OF LEVELS OF PUBLIC AUTHORITY IN FEDERAL STATES IN THE CONTEXT OF THE NEW CORONAVIRUS INFECTION (COVID-19) PANDEMIC: ASSESSMENTS AND PROSPECTS","year":2021,"lang":"en","type":"article","venue":"Problems of Social Hygiene Public Health and History of Medicine","topic":"COVID-19, Geopolitics, Technology, Migration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Context (archaeology); Federalism; Pandemic; Negotiation; Political science; Public administration; Coronavirus disease 2019 (COVID-19); Public relations; Law; Medicine; Geography; Politics","authors":[{"name":"Salavat Hamitovich Sarmanaev","is_ca":false},{"name":"Т. В. Гололобова","is_ca":false},{"name":"Т. Г. Суранова","is_ca":false},{"name":"G. N. Suvorov","is_ca":false},{"name":"Sergey Zenin","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.4757177073327784,"gpt":0.5108222683435001,"spread":0.03510456101072168,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts"],"consensus_categories":[],"category_scores_codex":[0.00833517,0.0000800241,0.0003753795,0.0002662395,0.0002460969,0.000007060704,0.0001267681,0.0001524414,0.00002876698],"category_scores_gemma":[0.01026909,0.00005592217,0.00003368357,0.0006308493,0.003235215,0.0002518824,0.0001072944,0.0004528047,1.872495e-8],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001109638,"about_ca_system_score_gemma":0.01068783,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1020073,"about_ca_topic_score_gemma":0.1259803,"domain_scores_codex":[0.9965878,0.001467563,0.0007405761,0.0001953548,0.0007527389,0.0002560171],"domain_scores_gemma":[0.9972454,0.00107894,0.0007853904,0.0001356566,0.0006142156,0.0001403676],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009728424,0.0004843693,0.7207286,0.001624577,0.0000318676,2.880047e-7,0.1154855,0.000002207952,0.0008458927,0.1315085,0.002368244,0.02682263],"study_design_scores_gemma":[0.002851256,0.0007850884,0.8160483,0.0002920257,0.0000174432,0.000007202591,0.08633412,0.00009717786,0.00008195429,0.03121844,0.06217401,0.00009296857],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8557231,0.002162216,0.0002220704,0.1403367,0.0002980149,0.0008353089,0.00002127614,0.0000075658,0.0003937582],"genre_scores_gemma":[0.9985255,0.0007810377,0.00004421023,0.000471805,0.00004975581,0.00001759865,0.000005269343,0.000003995582,0.0001008548],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1428024,"threshold_uncertainty_score":0.9994774,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W7008023235","doi":"","title":"+1-877-887-3557 Asus™ Product Support","year":2016,"lang":"en","type":"other","venue":"OSF Preprints (OSF Preprints)","topic":"COVID-19, Geopolitics, Technology, Migration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Laptop; Phone; Service (business); Mobile phone","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.02610945092343437,"gpt":0.3301648378416802,"spread":0.3040553869182458,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.006711117,0.0006910504,0.0008242961,0.0007645033,0.0004929815,0.0001951291,0.002992247,0.001400969,0.8484208],"category_scores_gemma":[0.01383338,0.000731068,0.0003778171,0.0004212815,0.001855824,0.0002667729,0.001731979,0.0008999419,0.8925098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001575127,"about_ca_system_score_gemma":0.002373407,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01198343,"about_ca_topic_score_gemma":0.01322224,"domain_scores_codex":[0.9918197,0.001117126,0.0008330822,0.003789313,0.001127172,0.001313559],"domain_scores_gemma":[0.9916473,0.0005300752,0.0008699298,0.006161306,0.0002582302,0.0005331662],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002857728,0.0002189798,0.008885895,0.0001616287,0.0001829902,0.00003408737,0.002318789,0.000003149863,0.0001502163,0.0323638,0.9364211,0.01923081],"study_design_scores_gemma":[0.0003729889,0.000001637229,0.0007241293,0.0001587237,0.0000979523,0.000008861142,0.0004755303,0.000002797516,0.000703151,0.01436884,0.9823178,0.0007675748],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002199561,0.000007893344,0.0009265607,0.005240198,0.001600491,0.00238357,0.0001132433,0.001752986,0.9877551],"genre_scores_gemma":[0.002867817,0.0007281433,0.001128208,0.0005852698,0.001340892,0.0003521149,0.00005851237,0.0004262882,0.9925128],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04589674,"threshold_uncertainty_score":0.9998954,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W7139503365","doi":"","title":"Russian institute of migration within the legislation migratsionnyz U.S., Canada, Germany and Sweden","year":2014,"lang":"ru","type":"article","venue":"Electronic scientific archive of UrFU (Ural Federal University)","topic":"COVID-19, Geopolitics, Technology, Migration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Legislation; Legislature; Consolidation (business); Consciousness; Human rights","authors":[{"name":"Ю. В. Радостева","is_ca":false},{"name":"J. V. Radosteva","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01309258915408188,"gpt":0.2325241841394246,"spread":0.2194315949853427,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.001068956,0.0002564112,0.0003424536,0.000497955,0.002316293,0.0001419333,0.0007770265,0.0001631266,0.00002886905],"category_scores_gemma":[0.0004759658,0.0002372069,0.0001276491,0.001177013,0.003207174,0.0006260678,0.0002214963,0.0004326206,0.000004159056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009052724,"about_ca_system_score_gemma":0.004676844,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5650677,"about_ca_topic_score_gemma":0.9826496,"domain_scores_codex":[0.9970179,0.0005027596,0.0004534489,0.0006124629,0.0007221323,0.0006913167],"domain_scores_gemma":[0.9981296,0.0003561836,0.0006737091,0.0004595388,0.0001941237,0.0001868662],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001098108,0.00007070156,0.00571616,0.00006569432,0.000100671,0.00000433362,0.01287659,0.0005311425,0.004837703,0.9700003,0.003806021,0.001880851],"study_design_scores_gemma":[0.002150092,0.0009087318,0.04661976,0.0003113503,0.0004307026,0.00001337162,0.02535391,0.03560686,0.00738273,0.0823468,0.7976828,0.001192853],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9751377,0.0002459485,0.002124376,0.01557841,0.001016933,0.0006233504,0.00007621816,0.000045181,0.00515188],"genre_scores_gemma":[0.9884115,0.00008790333,0.0001527535,0.0001258048,0.0001004363,0.000001029638,0.00006635212,0.00001046416,0.0110437],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8876535,"threshold_uncertainty_score":0.9995055,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W6893688588","doi":"10.5281/zenodo.4167184","title":"@[Filmek]! «Let Him Go (2020)» Teljes Film Magyarul Online HD ofa","year":2020,"lang":"hu","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"COVID-19, Geopolitics, Technology, Migration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"George (robot); Goto; Electronic mail; Online presence management","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.07317698042241197,"gpt":0.3084417666916685,"spread":0.2352647862692565,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001264646,0.0004322871,0.0004787654,0.0003445207,0.004641082,0.001481107,0.002943682,0.0004279118,0.06230512],"category_scores_gemma":[0.01007214,0.0005129625,0.0001912662,0.002313733,0.001506692,0.0006079755,0.002789551,0.001048868,0.03571125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008472242,"about_ca_system_score_gemma":0.00009095592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007505638,"about_ca_topic_score_gemma":0.00006757116,"domain_scores_codex":[0.9944295,0.001165874,0.0007869996,0.001233892,0.001177688,0.001206098],"domain_scores_gemma":[0.9965451,0.0001501994,0.0004090121,0.0008601922,0.00114737,0.0008881191],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001111587,0.0004331843,0.00005626984,0.0002627316,0.0001201201,0.00008062513,0.02038486,0.0001402512,0.00141051,0.02419926,0.8778315,0.07496954],"study_design_scores_gemma":[0.0007193708,0.0005746152,0.0007329853,0.00005162859,0.00007012997,0.00002444959,0.01171567,0.002436814,0.0002588704,0.0008940283,0.9820119,0.0005095163],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2077033,0.002760104,0.01043312,0.3927557,0.002398725,0.006575258,0.01201033,0.01565943,0.3497041],"genre_scores_gemma":[0.9667395,0.001998772,0.000753367,0.008106701,0.002597654,1.981555e-7,0.005072956,0.002829002,0.01190183],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7590362,"threshold_uncertainty_score":0.9997322,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W6976818863","doi":"10.6084/m9.figshare.1011716","title":"Box plots of surface organic layer thickness (a), volumetric soil moisture (b), water stock (c), thaw depth (d), and net seasonal heat input (e) across landscape types and treatments (<em>n</em> = 17)","year":2013,"lang":"en","type":"other","venue":"Figshare","topic":"COVID-19, Geopolitics, Technology, Migration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Permafrost; Water content; Taiga; Hydrology (agriculture); Vegetation (pathology); Soil water; Evergreen; Boreal; Subsoil","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.03247190862645072,"gpt":0.3036113748867592,"spread":0.2711394662603084,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001320873,0.0004160772,0.0005344135,0.0001975743,0.000300533,0.0002056346,0.000338868,0.001119129,0.05444212],"category_scores_gemma":[0.0006203543,0.0003369672,0.00007521107,0.0003837089,0.0001256687,0.0001653717,0.0003314489,0.0003464768,0.0004678843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001383377,"about_ca_system_score_gemma":0.0002728201,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.007970931,"about_ca_topic_score_gemma":0.1220362,"domain_scores_codex":[0.9978816,0.0001368309,0.0002469027,0.0006086644,0.0004698986,0.0006561296],"domain_scores_gemma":[0.9988614,0.0001632844,0.0001774752,0.0003947612,0.0001866805,0.0002164442],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001205075,0.00007609863,0.03305246,0.0004201113,0.0001855034,0.00001211106,0.005537077,0.000006792277,0.00003209619,0.0000156394,0.959665,0.0009850839],"study_design_scores_gemma":[0.001895715,0.0002621686,0.08092675,0.001578379,0.0002394188,0.0000216959,0.004946198,0.0002195777,0.0006012142,0.0002254656,0.9077299,0.001353531],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.4896415,0.03505292,0.00001515452,0.0018051,0.0008288269,0.005572848,0.410041,0.002087821,0.05495483],"genre_scores_gemma":[0.4324434,0.0005805523,0.0001300395,0.0006223176,0.0007250656,0.0001873338,0.03803331,0.0005119946,0.5267661],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4718112,"threshold_uncertainty_score":0.9999082,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W6977007681","doi":"10.6084/m9.figshare.c.6627408.v1","title":"Surgical treatments for postamputation pain: study protocol for an international, double-blind, randomised controlled trial","year":2024,"lang":"en","type":"other","venue":"Figshare","topic":"COVID-19, Geopolitics, Technology, Migration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Neuroma; Randomized controlled trial; Phantom pain; Clinical trial; Reinnervation; Psychological intervention; Neurotomy","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.208468220614707,"gpt":0.4892303694389978,"spread":0.2807621488242908,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008108192,0.0003004028,0.0005566431,0.0004111363,0.0001864292,0.0002992416,0.0004366318,0.0005914664,0.02784408],"category_scores_gemma":[0.004703701,0.000261594,0.0003582475,0.0001535247,0.00002917389,0.0001302699,0.00004303269,0.0001332199,0.0002162615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004661688,"about_ca_system_score_gemma":0.0007190673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006314687,"about_ca_topic_score_gemma":0.005335161,"domain_scores_codex":[0.997812,0.0003216471,0.0004851677,0.0006096472,0.0004376836,0.0003338913],"domain_scores_gemma":[0.9978582,0.00100323,0.0004556256,0.0002606102,0.0003034071,0.0001188961],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.3148609,0.0006440354,0.00000220527,0.0001571544,0.0004302807,0.000005556497,0.0008983057,0.000001704757,5.301914e-8,0.0003662106,0.6815987,0.001034919],"study_design_scores_gemma":[0.472485,0.0007480012,1.970875e-7,0.0001919463,0.00008489342,1.180791e-7,0.000395708,0.0001250919,6.226311e-7,0.0004015604,0.5254245,0.0001423239],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.000006416059,0.00001619028,0.00003475651,0.0005073825,0.0004905736,0.9075637,0.04705278,0.0007246718,0.04360352],"genre_scores_gemma":[0.00008583449,5.067575e-7,0.00005387188,0.00007249419,0.001905894,0.7681117,0.03873395,0.000173533,0.1908622],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.1576241,"threshold_uncertainty_score":0.9999836,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W7135841704","doi":"","title":"Race for World Power between VS and China in full speed","year":2019,"lang":"","type":"article","venue":"UvA-DARE (University of Amsterdam)","topic":"COVID-19, Geopolitics, Technology, Migration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"China; Power (physics); Beijing","authors":[{"name":"L. Marácz","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01990577032692094,"gpt":0.2694645677639148,"spread":0.2495587974369938,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008342179,0.0002908282,0.0007055733,0.0008325037,0.0004877722,0.00006053012,0.0007929094,0.0004507522,0.0009212735],"category_scores_gemma":[0.0002371649,0.0004149031,0.0002053259,0.001007945,0.001082929,0.0007415469,0.0004965095,0.0003865776,0.00009007403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006390924,"about_ca_system_score_gemma":0.0004260778,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01191514,"about_ca_topic_score_gemma":0.04964235,"domain_scores_codex":[0.9976476,0.0001715121,0.0003232493,0.0007384316,0.0004045449,0.0007146386],"domain_scores_gemma":[0.9981787,0.0004528305,0.0004315017,0.0005087206,0.0001887669,0.0002394949],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001127259,0.0003796065,0.7956184,0.0008461644,0.0002699009,0.00002913105,0.1464171,0.00004205564,0.0005861092,0.02973129,0.007753538,0.01719938],"study_design_scores_gemma":[0.005828141,0.001379173,0.6603321,0.0004147837,0.0002517075,0.000001879582,0.1164057,0.0009351757,0.0001294976,0.01096935,0.2023004,0.001052078],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9737813,0.0001537768,0.0007271348,0.01710877,0.0004101043,0.001402284,0.0002197475,0.00007961978,0.006117269],"genre_scores_gemma":[0.9821627,0.00007891285,0.0006859031,0.0001916925,0.00008308836,3.386767e-7,0.00002803877,0.00001959004,0.01674974],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1945469,"threshold_uncertainty_score":0.999992,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W7104283172","doi":"10.25136/2409-7136.2025.10.76156","title":"Adaptive constitutionalism in the context of migration-driven transformation: challenges to national identity and institutional adaptation strategies","year":2025,"lang":"en","type":"article","venue":"Юридические исследования","topic":"COVID-19, Geopolitics, Technology, Migration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Constitutionalism; Constitution; Human rights; Population; Convention; State (computer science); Context (archaeology); Legal culture; Sovereignty; Politics","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.09781975690871203,"gpt":0.3749047379619494,"spread":0.2770849810532374,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001181044,0.0001377368,0.0001835663,0.0004529918,0.0005348609,0.0001115197,0.0003397424,0.0001799261,0.0000243224],"category_scores_gemma":[0.0008587659,0.0001318579,0.00005597106,0.0007144277,0.001041353,0.0016932,0.00003557597,0.0001799226,0.00001028793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004155111,"about_ca_system_score_gemma":0.002129475,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.006926416,"about_ca_topic_score_gemma":0.236525,"domain_scores_codex":[0.9981112,0.000252992,0.000436961,0.000260468,0.0007214732,0.0002169462],"domain_scores_gemma":[0.9987714,0.0005068188,0.0001187362,0.0001347049,0.0004139539,0.00005436409],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002480886,0.00006398423,0.0004721684,0.00002669134,0.00002168397,0.000001106397,0.04536191,0.000991388,0.00003139086,0.9491159,0.0002578312,0.003631071],"study_design_scores_gemma":[0.001184676,0.0001143371,0.06027032,0.0001927402,0.00004743153,0.000004922866,0.358969,0.004671091,0.0001036736,0.5014558,0.07266175,0.0003241967],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3525947,0.004009961,0.2405176,0.2366681,0.001362971,0.004141281,0.0004311297,0.0003311345,0.1599431],"genre_scores_gemma":[0.9968881,0.0004357849,0.0006854094,0.001674808,0.00008615266,0.0001276443,0.00004142286,0.0000032204,0.00005743062],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6442934,"threshold_uncertainty_score":0.9996865,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W6920690543","doi":"10.60692/f11p4-tae53","title":"Política Industrial, Tecno- nacionalismo e Indústria 4.0: a Guerra Tecnológica entre China e EUA","year":2021,"lang":"pt","type":"article","venue":"Greater South Information System","topic":"COVID-19, Geopolitics, Technology, Migration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Network for Business Sustainability","funders":"","keywords":"Context (archaeology); China; Hegemony; Government (linguistics); Diplomacy; Work (physics); Product (mathematics); State (computer science)","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.08570169085373944,"gpt":0.2894389111096394,"spread":0.2037372202558999,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001589249,0.0006688945,0.0008680898,0.0009453981,0.001342607,0.001047823,0.0008900915,0.001731534,0.0008045642],"category_scores_gemma":[0.001751481,0.0006760506,0.0003909362,0.002337064,0.0004409378,0.001668212,0.0004549055,0.000906262,0.003073065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002088156,"about_ca_system_score_gemma":0.002535766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008560842,"about_ca_topic_score_gemma":0.00006974503,"domain_scores_codex":[0.99358,0.0007731355,0.0021597,0.0006826253,0.001570381,0.001234138],"domain_scores_gemma":[0.9959892,0.00008676649,0.001400485,0.001187264,0.0008568671,0.0004794003],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001932505,0.00006487869,0.1232731,0.001176114,0.0005933683,0.000104189,0.774071,0.0001524845,0.000008321629,0.06476606,0.03254425,0.003052998],"study_design_scores_gemma":[0.006598505,0.0002650712,0.02774492,0.001572003,0.0005896973,0.0002108458,0.6537883,0.002706482,0.001210688,0.0001833012,0.3029489,0.002181289],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8877881,0.0001326889,0.01044025,0.04760889,0.0105064,0.004878797,0.00392144,0.003310347,0.03141307],"genre_scores_gemma":[0.9928507,0.000004455245,0.00008057123,0.001328105,0.0009016217,0.0001260749,0.0002600507,0.000036574,0.004411799],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2704047,"threshold_uncertainty_score":0.9999892,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W6920470627","doi":"10.60692/qrbb9-97e58","title":"Política Industrial, Tecno- nacionalismo e Indústria 4.0: a Guerra Tecnológica entre China e EUA","year":2021,"lang":"pt","type":"article","venue":"Greater South Information System","topic":"COVID-19, Geopolitics, Technology, Migration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Network for Business Sustainability","funders":"","keywords":"Context (archaeology); China; Hegemony; Government (linguistics); Diplomacy; Work (physics); Product (mathematics); State (computer science)","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.08570169085373944,"gpt":0.2894389111096394,"spread":0.2037372202558999,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001589249,0.0006688945,0.0008680898,0.0009453981,0.001342607,0.001047823,0.0008900915,0.001731534,0.0008045642],"category_scores_gemma":[0.001751481,0.0006760506,0.0003909362,0.002337064,0.0004409378,0.001668212,0.0004549055,0.000906262,0.003073065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002088156,"about_ca_system_score_gemma":0.002535766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008560842,"about_ca_topic_score_gemma":0.00006974503,"domain_scores_codex":[0.99358,0.0007731355,0.0021597,0.0006826253,0.001570381,0.001234138],"domain_scores_gemma":[0.9959892,0.00008676649,0.001400485,0.001187264,0.0008568671,0.0004794003],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001932505,0.00006487869,0.1232731,0.001176114,0.0005933683,0.000104189,0.774071,0.0001524845,0.000008321629,0.06476606,0.03254425,0.003052998],"study_design_scores_gemma":[0.006598505,0.0002650712,0.02774492,0.001572003,0.0005896973,0.0002108458,0.6537883,0.002706482,0.001210688,0.0001833012,0.3029489,0.002181289],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8877881,0.0001326889,0.01044025,0.04760889,0.0105064,0.004878797,0.00392144,0.003310347,0.03141307],"genre_scores_gemma":[0.9928507,0.000004455245,0.00008057123,0.001328105,0.0009016217,0.0001260749,0.0002600507,0.000036574,0.004411799],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2704047,"threshold_uncertainty_score":0.9999892,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W7030455284","doi":"","title":"Mutares SE &amp;amp; Co. KGaA: Successful first quarter of 2022 ? High transaction activity and full acquisition pipeline with more than EUR 11 billion revenue volume","year":2022,"lang":"en","type":"other","venue":"","topic":"COVID-19, Geopolitics, Technology, Migration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Pipeline (software); Volume (thermodynamics); Database transaction; Revenue; Quarter (Canadian coin)","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.01901989012971515,"gpt":0.3004251767199241,"spread":0.281405286590209,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005151553,0.0003186778,0.0004518376,0.000564024,0.0004341381,0.00005565311,0.0002804357,0.0005220891,0.01494893],"category_scores_gemma":[0.00009558366,0.0003061659,0.00009413736,0.0005594483,0.0006602709,0.0002391896,0.00004020637,0.0003725013,0.00002989436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004406326,"about_ca_system_score_gemma":0.0002449488,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2261938,"about_ca_topic_score_gemma":0.7900074,"domain_scores_codex":[0.9977602,0.0003055968,0.0002876811,0.0006152642,0.0006557018,0.0003755133],"domain_scores_gemma":[0.9986951,0.0001217231,0.0004687989,0.0004923125,0.0001062891,0.0001157509],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000501964,0.0006636034,0.05074754,0.0009119707,0.0002019991,0.00001812008,0.01685275,0.0000903579,0.000830401,0.00146731,0.9244005,0.00331345],"study_design_scores_gemma":[0.000656909,0.0001929253,0.00542285,0.00009777027,0.0001410761,0.000007656263,0.004014889,0.00006254252,0.0001127133,0.0004953648,0.9883004,0.0004948456],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8828754,0.0007727826,0.03497586,0.03735016,0.001389125,0.004451847,0.00511254,0.001837394,0.03123489],"genre_scores_gemma":[0.6472554,0.0004503469,0.0004028027,0.0002396043,0.0004326287,0.000126199,0.0006596158,0.0001709321,0.3502625],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5638135,"threshold_uncertainty_score":0.999939,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W7131873339","doi":"10.71279/epw.v60i43-44.43009","title":"The Global Impact of Trump 2.0 Tariffs, with a Special Focus on India","year":2025,"lang":"","type":"article","venue":"Economic and political weekly/Economic & political weekly","topic":"COVID-19, Geopolitics, Technology, Migration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Computable general equilibrium; Protectionism; Tariff; Trade war; China; General equilibrium theory; Welfare; Free trade; Trade barrier","authors":[{"name":"Archana Srivastava","is_ca":false},{"name":"Somesh K. Mathur","is_ca":false},{"name":"Prabir De","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01296343984523659,"gpt":0.3166754716640053,"spread":0.3037120318187687,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":["sts","insufficient_payload"],"category_scores_codex":[0.001407894,0.001200875,0.001876021,0.0004494187,0.00156602,0.0006864345,0.001554514,0.001362316,0.001462535],"category_scores_gemma":[0.001170423,0.001014845,0.0009075182,0.000327723,0.01094568,0.0004673669,0.0005911872,0.001244532,0.0008425548],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.01441628,"about_ca_system_score_gemma":0.01023506,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07126698,"about_ca_topic_score_gemma":0.01264309,"domain_scores_codex":[0.9900243,0.0007258814,0.002391445,0.001791854,0.0003380462,0.00472844],"domain_scores_gemma":[0.9909247,0.00452831,0.0005939137,0.001411022,0.0001320856,0.002410004],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0006655194,0.0002595874,0.04559163,0.00006265241,0.0006712055,0.0000108451,0.0003071747,0.00002974642,0.00000101838,0.9410197,0.008745529,0.002635463],"study_design_scores_gemma":[0.003086271,0.002451977,0.1029746,0.0001662128,0.0004937278,0.00003030427,0.006054719,0.001129058,0.0001124549,0.8115686,0.07072064,0.001211511],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5659411,0.0003527342,0.0001036492,0.09765346,0.002363722,0.0014725,0.002390288,0.0001515576,0.329571],"genre_scores_gemma":[0.988516,0.0001643436,0.00005337749,0.003237861,0.004089088,0.00007613593,0.00003149192,0.00006613243,0.003765619],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4225748,"threshold_uncertainty_score":0.9999354,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2890141739","doi":"10.5194/isprs-annals-iv-4-1-2018","title":"PREFACE – ISPRS TECHNICAL COMMISSION IV MIDTERM SYMPOSIUM 2018","year":2018,"lang":"en","type":"article","venue":"ISPRS annals of the photogrammetry, remote sensing and spatial information sciences","topic":"COVID-19, Geopolitics, Technology, Migration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Simon Fraser University","funders":"","keywords":"Commission; Library science; Political science; Regional science; Engineering; Sociology; Computer science; Law","authors":[{"name":"Sisi Zlatanova","is_ca":false},{"name":"Suzana Dragićević","is_ca":true},{"name":"G. Sithole","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07607170816394984,"gpt":0.3791158824547093,"spread":0.3030441742907595,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.002475247,0.0001765552,0.0002367907,0.0003503675,0.001811369,0.000321413,0.0006008261,0.0002453979,0.00001894195],"category_scores_gemma":[0.002189522,0.0001334416,0.0001183735,0.001105083,0.004138523,0.0005067555,0.0002431948,0.0002058577,0.00001117414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007358677,"about_ca_system_score_gemma":0.0003439887,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3919095,"about_ca_topic_score_gemma":0.1121199,"domain_scores_codex":[0.9976206,0.0002280297,0.0005701194,0.0002451874,0.0008274242,0.0005086444],"domain_scores_gemma":[0.9981607,0.0002399442,0.0005153781,0.0003958833,0.0005034424,0.0001847033],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005284624,0.00003505281,0.0009476143,0.00004829755,0.00001744642,3.643148e-7,0.009813151,0.00005953437,0.003222033,0.0005596395,0.01234322,0.9729008],"study_design_scores_gemma":[0.0004942098,0.0007061068,0.004964179,0.0003518965,0.00004653119,0.00002106973,0.009740305,0.3589531,0.06533172,0.01212434,0.5466239,0.0006425118],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.322883,0.0001860214,0.4833491,0.1233514,0.003747875,0.002220117,0.00006681299,0.0007398992,0.06345584],"genre_scores_gemma":[0.9960827,0.0001430263,0.001087041,0.002259607,0.0001612971,3.396796e-7,0.000003054653,0.000005671946,0.0002573267],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9722583,"threshold_uncertainty_score":0.9994881,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4405819761","doi":"10.69704/jhaesi.116.2004.25968","title":"Tel Ḥaẓor – 2019","year":2021,"lang":"en","type":"article","venue":"Ḥadašŵt ʾarkeyŵlŵgiyŵt.","topic":"COVID-19, Geopolitics, Technology, Migration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Medicine","authors":[{"name":"Shlomit Bechar","is_ca":false},{"name":"Amnon Ben-Tor","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03579886468830384,"gpt":0.3575413555757402,"spread":0.3217424908874363,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007662021,0.0001961727,0.0002600363,0.0001623579,0.0006956501,0.0001494242,0.0004895418,0.0003700141,0.001770436],"category_scores_gemma":[0.003349602,0.0002228006,0.0001494781,0.0007803345,0.0005386674,0.0002886323,0.00017288,0.0003169164,0.0009201796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005297701,"about_ca_system_score_gemma":0.001566986,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.008282548,"about_ca_topic_score_gemma":0.01926786,"domain_scores_codex":[0.9975297,0.0002779011,0.0003380233,0.0005284968,0.000580319,0.0007455075],"domain_scores_gemma":[0.9982437,0.0004173937,0.0001236518,0.0006529572,0.000294485,0.0002677358],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002464741,0.0003051365,0.01938844,0.00005459127,0.00009027511,0.0001806127,0.008455384,0.00002720025,0.001880741,0.5190849,0.4240443,0.02646384],"study_design_scores_gemma":[0.0003102734,0.00002763303,0.004822874,0.000018917,0.00002814181,0.000006711019,0.005113973,0.00005703698,0.002127539,0.01997739,0.9672059,0.0003035889],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3849971,0.004877004,0.00502384,0.1415811,0.005650187,0.001457413,0.0002053223,0.003120303,0.4530877],"genre_scores_gemma":[0.8924842,0.0005702877,0.002032832,0.005941184,0.001027912,0.0000457072,0.00007319014,0.000047236,0.09777741],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5431616,"threshold_uncertainty_score":0.9998577,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W7065946141","doi":"","title":"Frank’s International N.V. Announces First Quarter 2017 Results","year":2017,"lang":"en","type":"other","venue":"","topic":"COVID-19, Geopolitics, Technology, Migration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Government (linguistics); Work (physics)","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.04499407379843484,"gpt":0.3660408085200456,"spread":0.3210467347216108,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005220018,0.0002178991,0.0002394181,0.0003604337,0.0005822738,0.0002548283,0.001415417,0.000660933,0.002439962],"category_scores_gemma":[0.001858388,0.0002095549,0.000105178,0.00006281078,0.0009188578,0.0001703404,0.0001084196,0.0002467456,0.001040753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003062966,"about_ca_system_score_gemma":0.0004612999,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1242596,"about_ca_topic_score_gemma":0.5812632,"domain_scores_codex":[0.9982716,0.00005769734,0.0002338559,0.0004957161,0.0005633184,0.0003777405],"domain_scores_gemma":[0.9984471,0.0001373977,0.0004584845,0.000729698,0.0001165584,0.0001107711],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000006780207,0.00002416508,0.0003925338,0.00000998356,0.00004289232,0.000008936157,0.001503294,2.42296e-7,2.403306e-7,0.01897117,0.9783266,0.0007131211],"study_design_scores_gemma":[0.0002941508,0.00002121029,0.0002333587,0.00008875676,0.00001384593,7.395371e-7,0.0009818125,0.00001530245,0.000001553423,0.001645226,0.9964499,0.0002541195],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000007501085,0.0002424063,0.000252769,0.03267053,0.00299116,0.0003191887,0.0003266461,0.0006579544,0.9625319],"genre_scores_gemma":[0.003692051,0.00102833,0.0003673132,0.0006659049,0.002315037,0.00002819703,0.0001454221,0.0000650711,0.9916927],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4570036,"threshold_uncertainty_score":0.999737,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4414618350","doi":"10.48647/icca.2025.72.11.015","title":"Достижения и перспективы развития технологий искусственного интеллекта в КНДР","year":2025,"lang":"ru","type":"article","venue":"Современные проблемы Корейского полуострова","topic":"COVID-19, Geopolitics, Technology, Migration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"State (computer science); Applications of artificial intelligence; Key (lock); Work (physics); Current (fluid)","authors":[{"name":"П.С. Лешаков","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03314224714012329,"gpt":0.3791109842231166,"spread":0.3459687370829932,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"category_scores_codex":[0.004834356,0.002398886,0.002673464,0.002146896,0.004174378,0.001392074,0.004888737,0.003720875,0.01088155],"category_scores_gemma":[0.007823731,0.002694551,0.001540204,0.007005699,0.005089866,0.001650548,0.001561963,0.003156649,0.008904511],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.004827692,"about_ca_system_score_gemma":0.007066752,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03142108,"about_ca_topic_score_gemma":0.02215131,"domain_scores_codex":[0.9826161,0.001860229,0.003440218,0.004047261,0.002935728,0.005100517],"domain_scores_gemma":[0.988782,0.002428143,0.001308677,0.004323282,0.001547319,0.001610596],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004796986,0.002190013,0.01823759,0.001357135,0.00128622,0.0003022079,0.01665112,0.0002572264,0.001216594,0.4314089,0.3842829,0.1423304],"study_design_scores_gemma":[0.003317624,0.0004828807,0.008792473,0.0008125328,0.0009606787,0.00002612449,0.01177029,0.001516133,0.001641169,0.0518355,0.9162565,0.002588102],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2620396,0.02453125,0.004801944,0.1537471,0.02259142,0.009914799,0.00137049,0.007081755,0.5139216],"genre_scores_gemma":[0.723548,0.005432379,0.001488013,0.020554,0.002841403,0.000535475,0.0003024919,0.0003356933,0.2449625],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5319735,"threshold_uncertainty_score":0.9996446,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4323063052","doi":"10.1016/s1359-6128(21)00214-7","title":"Ingersoll Rand seals Maximus Solutions acquisition","year":2021,"lang":"en","type":"article","venue":"Pump Industry Analyst","topic":"COVID-19, Geopolitics, Technology, Migration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Business; Production (economics); Computer science; Economics","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.0793290542226485,"gpt":0.3596065184680748,"spread":0.2802774642454263,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000918632,0.0001304845,0.0002133993,0.0002068764,0.001128039,0.000148585,0.0002400626,0.0008045604,0.001404851],"category_scores_gemma":[0.001558084,0.0001555576,0.0001265417,0.001231275,0.0004433752,0.000291437,0.0000969889,0.0006078684,0.0001300425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005819983,"about_ca_system_score_gemma":0.0009360056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005311583,"about_ca_topic_score_gemma":0.01064249,"domain_scores_codex":[0.998071,0.0003363015,0.0002947883,0.0003643663,0.0003768764,0.000556624],"domain_scores_gemma":[0.9988018,0.0001909096,0.0001349056,0.0003620771,0.0002918804,0.0002184362],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001064269,0.001689745,0.2911201,0.0002313886,0.001323174,0.0007910895,0.0397044,0.003643067,0.009983717,0.4844352,0.1416746,0.02529713],"study_design_scores_gemma":[0.002279334,0.00009485582,0.03397517,0.0001654603,0.0007906815,0.00004327689,0.09067645,0.002491218,0.009636401,0.06603821,0.7923744,0.001434581],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8564566,0.0007300364,0.003547666,0.08995093,0.001182065,0.0004544914,0.0001339504,0.0007182813,0.0468259],"genre_scores_gemma":[0.9890012,0.00006551384,0.00009454959,0.001640474,0.0005708419,0.00002538393,0.00007469915,0.00001038089,0.008516992],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6506998,"threshold_uncertainty_score":0.999508,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W7164919628","doi":"10.1080/17153379.2025.12558750","title":"High Wire: How China Regulates Big Tech and Governs Its Economy","year":2025,"lang":"en","type":"article","venue":"Pacific Affairs","topic":"COVID-19, Geopolitics, Technology, Migration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"China; High tech; Chinese economy; World economy","authors":[{"name":"Yukyung Yeo","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01438829554904287,"gpt":0.2633780972117816,"spread":0.2489898016627388,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004025554,0.0001512974,0.0001999623,0.0001763799,0.0005147821,0.0001612298,0.0002544147,0.0002580907,0.00004485989],"category_scores_gemma":[0.000734835,0.0001611056,0.0000510658,0.0004360512,0.0005762423,0.0002000818,0.0001032172,0.0001691652,0.00003033118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004044495,"about_ca_system_score_gemma":0.0003146176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001670501,"about_ca_topic_score_gemma":0.00404726,"domain_scores_codex":[0.9988334,0.00007712817,0.0001630703,0.0003907507,0.000142928,0.0003926848],"domain_scores_gemma":[0.9992633,0.000169141,0.00009882056,0.0003050328,0.00006168622,0.0001020243],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001038335,0.00004787959,0.007816057,0.00007067989,0.00004803963,0.000004721644,0.006780275,0.000005035987,0.0002229903,0.9540627,0.0152321,0.01569917],"study_design_scores_gemma":[0.0006194542,0.0000710503,0.007592541,0.00007027106,0.00006227293,0.000002142211,0.2899767,0.0003174875,0.004258528,0.1721506,0.5243534,0.000525378],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1354287,0.001455889,0.001328496,0.1156876,0.001588501,0.001162039,0.00008125824,0.001273803,0.7419937],"genre_scores_gemma":[0.9772521,0.0002178414,0.0001565522,0.00005941104,0.0001582236,0.00003464506,0.00000833809,0.00001044118,0.02210244],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8418235,"threshold_uncertainty_score":0.6569694,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W7133406075","doi":"","title":"Meaning of « spaces » in the makers' response to the COVID-19 pandemic","year":2022,"lang":"fr","type":"article","venue":"ORBi UMONS","topic":"COVID-19, Geopolitics, Technology, Migration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Moncton","funders":"","keywords":"Meaning (existential); Pandemic; Perspective (graphical); Proposition; Identity (music)","authors":[{"name":"Robert Viseur","is_ca":true},{"name":"Bérengère Fally","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07895881949960842,"gpt":0.3683511264944482,"spread":0.2893923069948398,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts"],"consensus_categories":[],"category_scores_codex":[0.007603968,0.0001569417,0.0002086295,0.0002586086,0.00133349,0.00005938982,0.001183343,0.0001416431,0.0006353222],"category_scores_gemma":[0.00903296,0.0001267159,0.000108459,0.002024583,0.001018358,0.00009234066,0.0003945327,0.0006344335,0.00005899532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001518357,"about_ca_system_score_gemma":0.00152909,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05715,"about_ca_topic_score_gemma":0.1511016,"domain_scores_codex":[0.9946946,0.003353162,0.0003651424,0.0003505224,0.0006670121,0.0005695554],"domain_scores_gemma":[0.9950149,0.004000407,0.0002007621,0.0006002825,0.00004502576,0.0001385992],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003644787,0.0002206454,0.09199882,0.00004616032,0.00004089598,0.0000680409,0.4158541,0.005437993,0.0006061263,0.3745724,0.1074059,0.003384431],"study_design_scores_gemma":[0.0002168966,0.0001622564,0.003500511,0.00001070867,0.0000325063,0.00001798989,0.1590536,0.0001668359,0.00001371314,0.01439098,0.8223044,0.0001296448],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.4965599,0.0009851388,0.0001755109,0.4991213,0.0005918401,0.0006301882,0.0001059469,0.00006848327,0.001761707],"genre_scores_gemma":[0.9742496,0.0002029104,0.00007930239,0.01716342,0.0001331503,0.0001625867,0.000004323722,0.00001427832,0.007990426],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7148985,"threshold_uncertainty_score":0.9999666,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W6944812372","doi":"10.22394/2073-2929-2025-01-71-84","title":"The Impact of the Foreign-Speaking Population of Estonia on the Development of Highly Innovative Services","year":2025,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"COVID-19, Geopolitics, Technology, Migration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Estonian; Population; Quarter (Canadian coin); Regression analysis; Service (business); Data collection","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.2209528918093323,"gpt":0.5785464649340135,"spread":0.3575935731246812,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003269959,0.0001738166,0.0004015637,0.0004677949,0.0008945103,0.000219006,0.002910471,0.0001249541,0.0001944116],"category_scores_gemma":[0.001525853,0.00009552242,0.0001503925,0.002517759,0.0005491016,0.0005921183,0.0006271648,0.0002790603,6.94471e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004623957,"about_ca_system_score_gemma":0.00101441,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03005899,"about_ca_topic_score_gemma":0.01130606,"domain_scores_codex":[0.9973168,0.0004857116,0.001010214,0.0001989993,0.0007162293,0.0002720588],"domain_scores_gemma":[0.9954254,0.001233515,0.001924789,0.0004735757,0.0009034442,0.00003930105],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009134154,0.0001127975,0.9029703,0.00007215065,0.0002528429,2.439275e-7,0.007313179,0.0003069285,0.007882797,0.06736153,0.0008124697,0.0128234],"study_design_scores_gemma":[0.0001424616,0.000009017564,0.9139875,0.000432822,0.00002572667,1.332371e-7,0.003327138,0.00006056543,0.03115344,0.04958185,0.001184236,0.00009510361],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909018,0.0007499163,0.0001148751,0.001022265,0.0001989022,0.0006892871,0.0000177342,0.00001599052,0.006289275],"genre_scores_gemma":[0.9993204,0.0002834244,0.00009230759,0.0001401298,0.00003302723,0.00002138028,0.000003168197,0.00001061904,0.00009552803],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02327064,"threshold_uncertainty_score":0.9763999,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W6999111835","doi":"","title":"Canada Data Center Market Report 2022-2027: Featuring Key Players Arista Networks, IBM, Rolls-Royce Power Systems, Google &amp;amp; More","year":2022,"lang":"en","type":"other","venue":"","topic":"COVID-19, Geopolitics, Technology, Migration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Key (lock); Data center; Power (physics); Center (category theory); Power market; Market research","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.0352694509400524,"gpt":0.3157439034438611,"spread":0.2804744525038086,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001782367,0.0005930023,0.0007407516,0.0003973249,0.0007826259,0.0002973175,0.002564966,0.0008578039,0.0336807],"category_scores_gemma":[0.001776408,0.0006418275,0.0001090267,0.0007701921,0.0003894611,0.0001916167,0.001542559,0.001099248,0.0000545945],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.003887904,"about_ca_system_score_gemma":0.006151963,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9840338,"about_ca_topic_score_gemma":0.9973554,"domain_scores_codex":[0.9943691,0.0004405394,0.0007962431,0.00158037,0.001566542,0.001247245],"domain_scores_gemma":[0.9947944,0.0003037147,0.0008808771,0.003493174,0.0001302057,0.0003976675],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000133157,0.00004268434,0.008571416,0.00007317901,0.0001889664,0.0002545775,0.0002489221,0.00007799137,1.325847e-7,0.0008248857,0.9896287,0.00007520983],"study_design_scores_gemma":[0.0002266936,0.000006458191,0.0002432673,0.00007961656,0.00006907027,0.00004298551,0.00369204,0.0001118841,1.636217e-7,0.0000204271,0.9948384,0.0006690544],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001138115,0.003395226,0.0005317372,0.006752664,0.008064465,0.001960481,0.0038512,0.00121903,0.9741114],"genre_scores_gemma":[0.00368927,0.0004258438,0.0003464795,0.001807653,0.000896389,0.00009625557,0.006177969,0.0003617693,0.9861984],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0336261,"threshold_uncertainty_score":0.999936,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W6993035342","doi":"","title":"NEWPARK RESOURCES REPORTS FOURTH QUARTER AND FULL YEAR 2023 RESULTS","year":2024,"lang":"en","type":"other","venue":"","topic":"COVID-19, Geopolitics, Technology, Migration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Government (linguistics); Work (physics); Population","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.02359346024088096,"gpt":0.3189607217042197,"spread":0.2953672614633388,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006849794,0.0001986155,0.0002465653,0.0003961189,0.0001215782,0.0001727204,0.0001771739,0.0006851673,0.001624365],"category_scores_gemma":[0.0008372186,0.0001852642,0.00007084016,0.0002679705,0.0004900347,0.00004496489,0.00009896907,0.0002674935,0.0007794357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001293126,"about_ca_system_score_gemma":0.0001842245,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05131778,"about_ca_topic_score_gemma":0.2181806,"domain_scores_codex":[0.9982213,0.00008963906,0.0003322823,0.0006349307,0.0003595719,0.000362312],"domain_scores_gemma":[0.9990182,0.00009254786,0.0002193379,0.0004945621,0.00003398931,0.0001413655],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000006012955,0.000007817188,0.00009273249,0.00003753673,0.00002818124,0.00006738739,0.002582553,9.28367e-8,0.000001089912,0.009215462,0.9874596,0.0005015317],"study_design_scores_gemma":[0.00008475425,0.00004148929,0.0000460648,0.00009043659,0.00003490134,0.000005777922,0.005436861,0.000003893567,0.000001291211,0.01358878,0.9804485,0.0002172771],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002521821,0.0009252273,0.00005024328,0.01032321,0.0008916688,0.0003691348,0.0000641115,0.001069636,0.9860546],"genre_scores_gemma":[0.002492391,0.0002423941,0.0005345313,0.0004118489,0.001134744,0.00001383982,0.00002445797,0.0001476701,0.9949981],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1668629,"threshold_uncertainty_score":0.9999986,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W7116784611","doi":"10.5281/zenodo.18010634","title":"Индекс влияния нейросетей (ИВН)","year":2025,"lang":"","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"COVID-19, Geopolitics, Technology, Migration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Impact","funders":"","keywords":"Index (typography); Class (philosophy); Closing (real estate); Identification (biology); Key (lock)","authors":[{"name":"Alexander Lyapin","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05266071148753195,"gpt":0.3243487278549964,"spread":0.2716880163674645,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002677904,0.0004026519,0.0004203786,0.001102254,0.01062888,0.002254207,0.003320953,0.0005201461,0.02875049],"category_scores_gemma":[0.009282769,0.0005022089,0.0001987459,0.003493783,0.002077392,0.0006342972,0.00324829,0.0009554384,0.0186851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001955895,"about_ca_system_score_gemma":0.0001275872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001394438,"about_ca_topic_score_gemma":0.00006938612,"domain_scores_codex":[0.9942725,0.001431157,0.0008029979,0.001215799,0.0009530544,0.001324459],"domain_scores_gemma":[0.9961537,0.0001922292,0.00033299,0.001268222,0.001574081,0.0004787689],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008759216,0.0003907336,0.00004837727,0.000230598,0.0001497058,0.00002014898,0.009050303,0.00005150307,0.0006819024,0.3187888,0.5346481,0.1358523],"study_design_scores_gemma":[0.0007804432,0.0002499585,0.00058074,0.0001119308,0.00008168345,0.00001230998,0.007079853,0.0007837192,0.0003899964,0.009726466,0.9797755,0.0004273927],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02230728,0.001196507,0.01632548,0.05456877,0.001981004,0.002791211,0.0006516006,0.005185256,0.8949929],"genre_scores_gemma":[0.96062,0.001234975,0.0002286555,0.002742524,0.0006069234,2.019882e-7,0.0008092213,0.001583223,0.03217425],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9383128,"threshold_uncertainty_score":0.9997429,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W7116715003","doi":"10.5281/zenodo.18010633","title":"Индекс влияния нейросетей (ИВН)","year":2025,"lang":"","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"COVID-19, Geopolitics, Technology, Migration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Impact","funders":"","keywords":"Index (typography); Class (philosophy); Closing (real estate); Identification (biology); Key (lock)","authors":[{"name":"Alexander Lyapin","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05266071148753195,"gpt":0.3243487278549964,"spread":0.2716880163674645,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002677904,0.0004026519,0.0004203786,0.001102254,0.01062888,0.002254207,0.003320953,0.0005201461,0.02875049],"category_scores_gemma":[0.009282769,0.0005022089,0.0001987459,0.003493783,0.002077392,0.0006342972,0.00324829,0.0009554384,0.0186851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001955895,"about_ca_system_score_gemma":0.0001275872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001394438,"about_ca_topic_score_gemma":0.00006938612,"domain_scores_codex":[0.9942725,0.001431157,0.0008029979,0.001215799,0.0009530544,0.001324459],"domain_scores_gemma":[0.9961537,0.0001922292,0.00033299,0.001268222,0.001574081,0.0004787689],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008759216,0.0003907336,0.00004837727,0.000230598,0.0001497058,0.00002014898,0.009050303,0.00005150307,0.0006819024,0.3187888,0.5346481,0.1358523],"study_design_scores_gemma":[0.0007804432,0.0002499585,0.00058074,0.0001119308,0.00008168345,0.00001230998,0.007079853,0.0007837192,0.0003899964,0.009726466,0.9797755,0.0004273927],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02230728,0.001196507,0.01632548,0.05456877,0.001981004,0.002791211,0.0006516006,0.005185256,0.8949929],"genre_scores_gemma":[0.96062,0.001234975,0.0002286555,0.002742524,0.0006069234,2.019882e-7,0.0008092213,0.001583223,0.03217425],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9383128,"threshold_uncertainty_score":0.9997429,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}