{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009572904,0.0001990307,0.0004369846,0.001545607,0.004014436,0.008791653,0.0009247036,0.003157038,0.003355752],"category_scores_gemma":[0.01845247,0.0002063172,0.000221835,0.001732369,0.009848954,0.008395716,0.005495041,0.004304386,0.0003103811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004391066,"about_ca_system_score_gemma":0.00342556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01340626,"about_ca_topic_score_gemma":0.01305273,"domain_scores_codex":[0.9957899,0.002299639,0.000178437,0.0004492729,0.0004038186,0.0008788581],"domain_scores_gemma":[0.9896395,0.005702084,0.001753509,0.0007435572,0.0009542712,0.001207136],"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":[0.0002847154,0.0001408841,0.140625,0.0003061253,0.0001541671,0.001454428,0.3023858,0.000949565,0.0007225698,0.4417215,0.01674086,0.09451424],"study_design_scores_gemma":[0.00002397072,0.0001551464,0.1403607,0.001098474,0.00008336658,0.000725542,0.3743045,0.001804442,0.0007804817,0.320987,0.1595504,0.000125948],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.7061098,0.008863452,0.002791259,0.1881783,0.0009052151,0.00001577531,0.0003968056,0.00002473768,0.09271467],"genre_scores_gemma":[0.9968028,0.001079117,0.0001344467,0.001092318,0.0000911266,0.000004224454,0.00003298876,0.000009492531,0.0007534986],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01340626,"threshold_uncertainty_score":0.05062699,"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007509456,0.0003171796,0.0002074657,0.0008405581,0.0007212933,0.002223891,0.0003681212,0.001153497,0.002225927],"category_scores_gemma":[0.001377413,0.0001197488,0.0004665627,0.0007279221,0.0006737268,0.002830607,0.0008043465,0.0006689149,0.0001549787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001874899,"about_ca_system_score_gemma":0.000816701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004442024,"about_ca_topic_score_gemma":0.004251019,"domain_scores_codex":[0.9996639,0.0001422425,0.00001619454,0.00003467189,0.00005118264,0.00009183952],"domain_scores_gemma":[0.9996606,0.00008194282,0.00009051253,0.00001595914,0.00008997985,0.00006096436],"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":[0.0003331439,0.0001135987,0.0379507,0.0002286451,0.00009989401,0.009310439,0.001154649,0.1393198,0.002459754,0.76735,0.01795759,0.02372185],"study_design_scores_gemma":[0.00009690708,0.0003214707,0.05009567,0.0002395504,0.0001082717,0.002995918,0.01223794,0.3512956,0.003192493,0.4909224,0.08830068,0.0001931557],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.825594,0.002729985,0.02101158,0.01254721,0.0002871869,0.0001354651,0.001555391,0.0001231934,0.136016],"genre_scores_gemma":[0.9950472,0.001030756,0.001415181,0.0001926754,0.00003143195,0.00004005558,0.0002430519,0.000007022665,0.001992503],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004442024,"threshold_uncertainty_score":0.01360339,"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003260128,0.001298024,0.0008652481,0.004065542,0.001711195,0.005716714,0.002068869,0.00186232,0.2461786],"category_scores_gemma":[0.0068383,0.0005814723,0.0008225078,0.002896983,0.000568794,0.004220511,0.002341457,0.002626887,0.258958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001967205,"about_ca_system_score_gemma":0.002875822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007211115,"about_ca_topic_score_gemma":0.007815416,"domain_scores_codex":[0.9981996,0.000225111,0.0001294838,0.0002123665,0.001083686,0.000149774],"domain_scores_gemma":[0.9897083,0.0005677465,0.0003374457,0.001465782,0.007148623,0.000772133],"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":[0.000047122,0.00004071626,0.0001205946,0.0001331043,0.000003652002,0.00002533305,0.00003124409,0.000211498,0.0005983827,0.0007750719,0.9580117,0.04000161],"study_design_scores_gemma":[0.000008343847,0.00002422329,0.0007658498,0.0001504446,0.000002571735,0.00002052941,0.00006495169,0.0001992332,0.0005713419,0.001172253,0.9970118,0.000008475802],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.005437569,0.01034335,0.04944047,0.03118951,0.1512263,0.002686688,0.0813408,0.01483242,0.6535029],"genre_scores_gemma":[0.01601501,0.007108022,0.017119,0.002230891,0.02382004,0.001265161,0.07358577,0.007184132,0.8516721],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7538214,"threshold_uncertainty_score":0.8235494,"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001233291,0.0003796078,0.0002010985,0.0008822465,0.004004515,0.003315206,0.0002909204,0.004411089,0.03055975],"category_scores_gemma":[0.002147498,0.0002162989,0.0003252519,0.0007324981,0.0009348731,0.001533395,0.001613699,0.003880707,0.00383189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002867963,"about_ca_system_score_gemma":0.004146887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0518985,"about_ca_topic_score_gemma":0.116849,"domain_scores_codex":[0.9990382,0.0001317111,0.00004219146,0.00007794463,0.0002863669,0.0004235469],"domain_scores_gemma":[0.9986454,0.0001860062,0.0001215036,0.00005051446,0.000273139,0.0007234431],"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":[0.0001017382,0.00007600442,0.005774304,0.00005842648,0.000006995725,0.0004067295,0.0005122276,0.00002217268,0.0003382818,0.004711892,0.9636539,0.02433738],"study_design_scores_gemma":[0.00003538766,0.00007808785,0.03378266,0.0001544553,0.000009339865,0.0001642672,0.002055293,0.0000566266,0.0003392789,0.0005828188,0.9627239,0.00001783625],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0702733,0.009013791,0.0002585866,0.546972,0.03411304,0.0001380647,0.003541986,0.0004646486,0.3352246],"genre_scores_gemma":[0.2615331,0.006139687,0.0007941346,0.3282807,0.008032498,0.0002145003,0.002697728,0.000209798,0.3920978],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.0518985,"threshold_uncertainty_score":0.1031929,"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01053707,0.0002356313,0.0002128208,0.002044811,0.006221204,0.006134282,0.001071298,0.001388341,0.006886754],"category_scores_gemma":[0.01038894,0.0002279831,0.0003078188,0.001580966,0.01046371,0.005579073,0.003821663,0.001304976,0.0003011772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00784866,"about_ca_system_score_gemma":0.00839834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007652335,"about_ca_topic_score_gemma":0.0147128,"domain_scores_codex":[0.9879233,0.008856847,0.0002322163,0.0006235357,0.0009613269,0.001402736],"domain_scores_gemma":[0.9915205,0.004275417,0.001535404,0.0004921759,0.001242574,0.0009339835],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001635378,0.0004082801,0.176761,0.0004557835,0.00004583835,0.001828328,0.2964748,0.002059461,0.002639117,0.3761621,0.004060444,0.1389413],"study_design_scores_gemma":[0.00001133893,0.0003114901,0.1281758,0.0005218225,0.00003319216,0.0009545086,0.7290716,0.002513146,0.001173385,0.06260447,0.07457824,0.00005103304],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8446556,0.002326516,0.01210972,0.01613511,0.0001760222,0.0001190303,0.00006917289,0.0000251871,0.1243837],"genre_scores_gemma":[0.9970565,0.0002810952,0.000833844,0.0001187297,0.00001834177,0.00001540509,0.000009453195,0.000002359236,0.001664423],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01053707,"threshold_uncertainty_score":0.05694634,"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004872708,0.001327021,0.001032834,0.0009480276,0.00133291,0.003602121,0.001448362,0.002498818,0.9687482],"category_scores_gemma":[0.001860333,0.0005067789,0.0005059159,0.0009341456,0.0004348205,0.002257672,0.002557391,0.001264293,0.9727471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007159546,"about_ca_system_score_gemma":0.0008457631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00184732,"about_ca_topic_score_gemma":0.002629223,"domain_scores_codex":[0.9993891,0.0000485718,0.00002237669,0.000212941,0.0001968564,0.0001302368],"domain_scores_gemma":[0.9982394,0.0002176325,0.00004720234,0.0001014958,0.0006071948,0.0007869541],"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":[0.0001142492,0.000161509,0.0003678963,0.0001735984,0.000006169364,0.00008756621,0.00007813259,0.0001086891,0.001866017,0.001342684,0.8386484,0.1570451],"study_design_scores_gemma":[0.00002703467,0.00007921516,0.0007365313,0.00008840452,0.000006484875,0.00009335046,0.000131172,0.0001483325,0.0002768918,0.0001557261,0.9982491,0.00000799648],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0007635189,0.0002509372,0.0006233716,0.0005619177,0.0006059729,0.0001299637,0.001174382,0.00134719,0.9945428],"genre_scores_gemma":[0.0008905287,0.00008404341,0.0001586881,0.0001541545,0.00003558802,0.00002474421,0.0004225763,0.0001282932,0.9981014],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03125179,"threshold_uncertainty_score":0.04457682,"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009028234,0.0003419628,0.0003983327,0.001333197,0.002323085,0.001915815,0.0004508712,0.0007779677,0.02421009],"category_scores_gemma":[0.001498212,0.0001780657,0.0001557795,0.0022894,0.0009433366,0.0007596792,0.001229854,0.001015096,0.005387444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002875809,"about_ca_system_score_gemma":0.01366843,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1362423,"about_ca_topic_score_gemma":0.0617573,"domain_scores_codex":[0.999471,0.00009662356,0.00005585155,0.00007757141,0.0001823037,0.0001166121],"domain_scores_gemma":[0.9995067,0.00006952359,0.00008845751,0.00006436814,0.0002149793,0.00005599707],"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":[0.0002079652,0.00006873226,0.01417225,0.0006541972,0.00002573324,0.0003727141,0.004588192,0.0005219778,0.002206962,0.5082608,0.3022045,0.1667161],"study_design_scores_gemma":[0.000008186085,0.00001521444,0.04272238,0.0001771656,0.00001380896,0.0001525178,0.0008602393,0.0001563988,0.0006578508,0.004329754,0.9508947,0.00001187671],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08100503,0.02389955,0.002423496,0.01468264,0.002218524,0.0001582493,0.01783155,0.0005705807,0.8572104],"genre_scores_gemma":[0.4592975,0.02649077,0.00593206,0.001050453,0.0005677696,0.0002912688,0.01667196,0.0003409024,0.4893573],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8637577,"threshold_uncertainty_score":0.2708986,"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002232136,0.0004271839,0.0002210373,0.0003960308,0.002134535,0.00341018,0.0004813473,0.0007922247,0.7969896],"category_scores_gemma":[0.0008235108,0.0002405736,0.0002422973,0.0003633967,0.0002509455,0.002366735,0.00192404,0.001401081,0.5912446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007495296,"about_ca_system_score_gemma":0.0003384484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007091048,"about_ca_topic_score_gemma":0.03061273,"domain_scores_codex":[0.9998809,0.00001264671,0.000003178805,0.00002010792,0.00004408818,0.00003901738],"domain_scores_gemma":[0.9996616,0.00002148117,0.00001001741,0.00002254344,0.00009821753,0.0001861791],"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":[0.00002209264,0.0000123047,0.00009426098,0.00003842101,0.000001186007,0.00005646839,0.0001957888,0.000007589306,0.0002774255,0.0008732385,0.9834289,0.01499236],"study_design_scores_gemma":[0.000004213704,0.000006194589,0.0006947261,0.00002797313,0.000001094755,0.00003664579,0.0003034694,0.00001452994,0.0001238335,0.000088505,0.9986957,0.000003190961],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001623475,0.0003974677,0.0002948033,0.001886657,0.001939561,0.00007442025,0.002401232,0.001605966,0.9897765],"genre_scores_gemma":[0.004379426,0.0002916532,0.0002587342,0.0003513747,0.000176238,0.00002684342,0.001129949,0.0006577736,0.9927281],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2030104,"threshold_uncertainty_score":0.2895696,"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004951993,0.0006483074,0.0006427051,0.0005400005,0.0002679607,0.0003557147,0.0004248704,0.0002330661,0.008758299],"category_scores_gemma":[0.0008171779,0.0001704602,0.0004444397,0.000611521,0.0003781114,0.0003389416,0.0004405893,0.0005667147,0.0006553099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001912669,"about_ca_system_score_gemma":0.0002693451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002964573,"about_ca_topic_score_gemma":0.00662487,"domain_scores_codex":[0.9995359,0.0001410779,0.0000506189,0.0001421787,0.00007341045,0.00005681382],"domain_scores_gemma":[0.998112,0.0008409795,0.0004994463,0.0001304861,0.0002370729,0.0001800678],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.01860971,0.006180413,0.5430927,0.001970384,0.002261914,0.0004258389,0.002485741,0.01070429,0.254908,0.001205859,0.02606596,0.1320892],"study_design_scores_gemma":[0.0001530257,0.001763534,0.9724597,0.00005027878,0.0001199454,0.0000673192,0.001146053,0.007981327,0.009395114,0.0002094214,0.006585044,0.00006916016],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9728289,0.0001218863,0.003906599,0.00006245692,0.00008603411,0.0003590159,0.01913701,0.0006715539,0.002826536],"genre_scores_gemma":[0.9648587,0.00009079951,0.01492432,0.0001018897,0.00003015672,0.00113295,0.0151683,0.000127842,0.003565008],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.008758299,"threshold_uncertainty_score":0.02929944,"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04506696,0.008217804,0.01715516,0.002893386,0.003369221,0.004693398,0.004263515,0.00960501,0.07383764],"category_scores_gemma":[0.04302508,0.004145769,0.007095242,0.004415635,0.005283396,0.004660798,0.002258778,0.007866614,0.01393705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004790616,"about_ca_system_score_gemma":0.01502035,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001781291,"about_ca_topic_score_gemma":0.003642005,"domain_scores_codex":[0.9690656,0.01904789,0.00360357,0.002545459,0.003081533,0.002655934],"domain_scores_gemma":[0.9782004,0.007396084,0.004866915,0.002851801,0.004385426,0.002299575],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"not_applicable","study_design_scores_codex":[0.9172146,0.01181774,0.0004644794,0.03338303,0.002467631,0.0001968658,0.0004166106,0.001309323,0.001755172,0.003509603,0.008526588,0.01893852],"study_design_scores_gemma":[0.9632093,0.0176098,0.0007333332,0.002373423,0.0009066293,0.00003345607,0.00009308955,0.00107372,0.0003811335,0.001354993,0.01215973,0.00007133117],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.001509208,0.0003038786,0.001175774,0.0001261522,0.0003274019,0.995552,0.000573151,0.00005925387,0.0003731622],"genre_scores_gemma":[0.001585686,0.0001287969,0.001341979,0.0001140249,0.00004234369,0.996482,0.00007811427,0.000003875441,0.0002231378],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.07383764,"threshold_uncertainty_score":0.2470115,"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004127365,0.0002258877,0.0001832103,0.0004765477,0.006973434,0.003553341,0.0004174061,0.0009334392,0.03903358],"category_scores_gemma":[0.0008106591,0.0001292982,0.0002577028,0.0007701321,0.002411911,0.002116533,0.003216414,0.001947386,0.0017703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004054169,"about_ca_system_score_gemma":0.006400217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08038982,"about_ca_topic_score_gemma":0.1657505,"domain_scores_codex":[0.999342,0.00005917201,0.00001109187,0.00007466502,0.00008657908,0.0004264226],"domain_scores_gemma":[0.9996706,0.00002150483,0.00001992312,0.00002463668,0.00004386345,0.000219497],"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":[0.0004234054,0.0001333184,0.07973765,0.0001407681,0.00005933975,0.002793817,0.07191696,0.0006443656,0.003110837,0.6111718,0.1399279,0.08993994],"study_design_scores_gemma":[0.00005016736,0.0001567408,0.07857637,0.0001426746,0.00001957274,0.0003204686,0.06529596,0.0005941546,0.0008897543,0.01687273,0.837028,0.00005348789],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5372806,0.0007131461,0.0008737781,0.01577862,0.001065649,0.00005279155,0.000294696,0.00008386477,0.4438569],"genre_scores_gemma":[0.8284011,0.0002271459,0.0001308136,0.002722335,0.00007091563,0.00003260553,0.000162614,0.00003205277,0.1682204],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08038982,"threshold_uncertainty_score":0.1598438,"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01356882,0.0002609312,0.0005178751,0.001275402,0.008461614,0.01306702,0.003312482,0.00436474,0.003790901],"category_scores_gemma":[0.0150656,0.0002634058,0.0005515505,0.001624771,0.06995332,0.01330469,0.008656805,0.005464686,0.0002081624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01021061,"about_ca_system_score_gemma":0.009515422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006619323,"about_ca_topic_score_gemma":0.006093431,"domain_scores_codex":[0.9919037,0.005071302,0.0002576529,0.001215076,0.0005515032,0.001000821],"domain_scores_gemma":[0.9926127,0.003928381,0.0006750522,0.001496384,0.0006147557,0.0006727035],"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":[0.000002636948,0.000006524381,0.000166133,0.000007513363,0.000001459517,0.00006198194,0.004935751,0.00026128,0.00003780852,0.9925339,0.0002277147,0.001757301],"study_design_scores_gemma":[0.000008621019,0.000009735906,0.0005432913,0.00004560763,0.000003170991,0.00007468028,0.008328719,0.0008980958,0.0001012223,0.9628967,0.02707668,0.00001333758],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3211015,0.005638974,0.06921936,0.1350974,0.0006799657,0.0002054096,0.0001227666,0.0001456324,0.4677889],"genre_scores_gemma":[0.9918669,0.0005569222,0.003621357,0.0008620315,0.0001333367,0.00006283476,0.00002071205,0.00002819792,0.002847661],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01356882,"threshold_uncertainty_score":0.07408345,"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001380204,0.0002039447,0.0002013953,0.002128209,0.004033483,0.005667986,0.0003826013,0.0006834622,0.004473476],"category_scores_gemma":[0.001536285,0.0001539776,0.000308304,0.00452097,0.004326824,0.002604898,0.002811483,0.001076972,0.0002056637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01091893,"about_ca_system_score_gemma":0.01330115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07976215,"about_ca_topic_score_gemma":0.1434986,"domain_scores_codex":[0.9990857,0.0002394116,0.00004251145,0.0001283465,0.0002173152,0.0002867475],"domain_scores_gemma":[0.9990981,0.0002038787,0.0002620215,0.0000910833,0.0001506262,0.000194274],"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":[0.0001430322,0.00006188985,0.1902532,0.0002226339,0.0000604556,0.0009089462,0.05755471,0.001166201,0.003878303,0.6753863,0.002693377,0.06767088],"study_design_scores_gemma":[0.0000253897,0.0001945705,0.5548583,0.0005066951,0.0001020318,0.0004136387,0.1000144,0.002588539,0.003230853,0.04525426,0.2927307,0.00008066629],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8687086,0.001612153,0.002027646,0.005433041,0.00005390025,0.00004370257,0.0001197562,0.00002980495,0.1219715],"genre_scores_gemma":[0.9901884,0.0006421663,0.0006512851,0.0001979229,0.000007778732,0.00001695147,0.00004218828,0.000006613747,0.008246558],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9959665,"threshold_uncertainty_score":0.1585958,"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001380204,0.0002039447,0.0002013953,0.002128209,0.004033483,0.005667986,0.0003826013,0.0006834622,0.004473476],"category_scores_gemma":[0.001536285,0.0001539776,0.000308304,0.00452097,0.004326824,0.002604898,0.002811483,0.001076972,0.0002056637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01091893,"about_ca_system_score_gemma":0.01330115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07976215,"about_ca_topic_score_gemma":0.1434986,"domain_scores_codex":[0.9990857,0.0002394116,0.00004251145,0.0001283465,0.0002173152,0.0002867475],"domain_scores_gemma":[0.9990981,0.0002038787,0.0002620215,0.0000910833,0.0001506262,0.000194274],"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":[0.0001430322,0.00006188985,0.1902532,0.0002226339,0.0000604556,0.0009089462,0.05755471,0.001166201,0.003878303,0.6753863,0.002693377,0.06767088],"study_design_scores_gemma":[0.0000253897,0.0001945705,0.5548583,0.0005066951,0.0001020318,0.0004136387,0.1000144,0.002588539,0.003230853,0.04525426,0.2927307,0.00008066629],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8687086,0.001612153,0.002027646,0.005433041,0.00005390025,0.00004370257,0.0001197562,0.00002980495,0.1219715],"genre_scores_gemma":[0.9901884,0.0006421663,0.0006512851,0.0001979229,0.000007778732,0.00001695147,0.00004218828,0.000006613747,0.008246558],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07976215,"threshold_uncertainty_score":0.1585958,"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008213283,0.0009071044,0.0004018452,0.001264755,0.001205801,0.005850554,0.0005633579,0.002258417,0.4810324],"category_scores_gemma":[0.001792802,0.0004170956,0.0003600289,0.0007285289,0.0005960114,0.003198597,0.001785287,0.001733926,0.4296751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001055331,"about_ca_system_score_gemma":0.002506939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00223409,"about_ca_topic_score_gemma":0.004862775,"domain_scores_codex":[0.9993857,0.00003611476,0.0000161085,0.00007987075,0.0003830134,0.0000991648],"domain_scores_gemma":[0.9986523,0.00009337481,0.00007786974,0.00009304041,0.0004770709,0.0006064053],"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":[0.00006017125,0.00003897469,0.0001303451,0.00007896015,0.00000271638,0.00006483945,0.0000160142,0.00005472566,0.001397225,0.00598286,0.9378299,0.05434337],"study_design_scores_gemma":[0.00001153231,0.00003293591,0.0003514866,0.000055206,0.000001731779,0.00007192952,0.0000298355,0.000182639,0.001060946,0.001285894,0.996909,0.000006903235],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002328593,0.003078735,0.002364138,0.01041846,0.004903031,0.0001449462,0.00668047,0.003780983,0.9663006],"genre_scores_gemma":[0.006785684,0.001103108,0.0008586093,0.0009768039,0.0003147977,0.00003717009,0.002543014,0.0006958086,0.986685],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4810324,"threshold_uncertainty_score":0.7402443,"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008105889,0.0005630932,0.0004715489,0.0008571086,0.000443468,0.001443861,0.000763052,0.0006596089,0.002665707],"category_scores_gemma":[0.001749594,0.0002576814,0.0009852059,0.00165801,0.0006583811,0.0009896245,0.0008013929,0.0009915758,0.0002386853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002035598,"about_ca_system_score_gemma":0.001102522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04340882,"about_ca_topic_score_gemma":0.04294004,"domain_scores_codex":[0.9996669,0.0001373628,0.000007733549,0.00003520604,0.00004025056,0.0001124742],"domain_scores_gemma":[0.9992558,0.0004208139,0.00008152825,0.00007523,0.0001072516,0.00005945992],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001759879,0.0000765728,0.01708715,0.0001018922,0.00008624842,0.0004177433,0.00006898565,0.9496743,0.0004542189,0.02109183,0.004142412,0.006622626],"study_design_scores_gemma":[0.0001124573,0.0005335799,0.02592703,0.00007534488,0.0001815135,0.0002850165,0.0009320889,0.9380786,0.001902871,0.02196351,0.009901324,0.0001067293],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9217007,0.0004966237,0.006516439,0.001232654,0.0001239141,0.0000617633,0.00362723,0.0002289914,0.06601164],"genre_scores_gemma":[0.9953535,0.0002482814,0.001585115,0.00007746187,0.000007147984,0.00002753425,0.0008297701,0.00004752041,0.001823765],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04340882,"threshold_uncertainty_score":0.08631229,"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003336852,0.001318979,0.0008641396,0.003894035,0.001999615,0.006005835,0.002117421,0.002512886,0.2551433],"category_scores_gemma":[0.006958723,0.0005517821,0.0008046604,0.002195921,0.0005706893,0.00408093,0.002407307,0.003056545,0.2614547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002087399,"about_ca_system_score_gemma":0.003177284,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006481255,"about_ca_topic_score_gemma":0.007634067,"domain_scores_codex":[0.998192,0.0002215099,0.0001174909,0.0002113487,0.001094959,0.0001627477],"domain_scores_gemma":[0.9876606,0.0006128054,0.0003921544,0.001284655,0.008969056,0.001080645],"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":[0.00004506449,0.00004201014,0.00009647447,0.0001006993,0.00000275964,0.00002475211,0.00002261244,0.0001536651,0.000519998,0.0006286026,0.9703523,0.02801111],"study_design_scores_gemma":[0.000009397826,0.00003360651,0.0007803296,0.0001454553,0.000002817942,0.00002076411,0.00006509321,0.0002045643,0.0005386745,0.001165125,0.9970253,0.000008891898],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"editorial","genre_scores_codex":[0.004938817,0.009603509,0.03367729,0.04427201,0.2305996,0.00277255,0.04465879,0.009733764,0.6197436],"genre_scores_gemma":[0.0148685,0.005748931,0.009919366,0.002928897,0.03566124,0.001019718,0.03559216,0.003987515,0.8902736],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.2551433,"threshold_uncertainty_score":0.8535392,"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006370082,0.0005866443,0.0002498552,0.0008671238,0.00231332,0.002333098,0.0009277991,0.0009144094,0.3677582],"category_scores_gemma":[0.0005099088,0.0003068706,0.0002118195,0.0007188294,0.000578916,0.001028119,0.002104429,0.0008375344,0.1402033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002287641,"about_ca_system_score_gemma":0.002960681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02292815,"about_ca_topic_score_gemma":0.09802867,"domain_scores_codex":[0.9995372,0.00002763767,0.00001192938,0.00006904962,0.00021229,0.0001418514],"domain_scores_gemma":[0.9997539,0.00001092747,0.00002121026,0.0000241665,0.0001043572,0.00008542967],"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":[0.0008616553,0.0001883969,0.005454489,0.0005714371,0.00002495282,0.001476001,0.00101315,0.0003107398,0.00562503,0.0133012,0.7348022,0.2363707],"study_design_scores_gemma":[0.00001835365,0.00008389146,0.009492069,0.00006809019,0.000002628261,0.0002935702,0.0005213849,0.00009264557,0.000689916,0.00038428,0.9883436,0.000009629652],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.04434256,0.002895109,0.001466385,0.003093689,0.003198487,0.0004203483,0.01182923,0.001133437,0.9316208],"genre_scores_gemma":[0.03458561,0.0005792806,0.0008422424,0.0003072355,0.0001590992,0.0000521096,0.004521083,0.0002090865,0.9587442],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3677582,"threshold_uncertainty_score":0.9018162,"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01001006,0.0009557196,0.0008110223,0.003282875,0.00651984,0.01655162,0.002597726,0.007669311,0.2851916],"category_scores_gemma":[0.02748447,0.0006440965,0.001314293,0.002736014,0.001714383,0.004418011,0.004281037,0.006665111,0.1977819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006695001,"about_ca_system_score_gemma":0.02122663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06014359,"about_ca_topic_score_gemma":0.1054974,"domain_scores_codex":[0.9878011,0.000784377,0.0002962328,0.0006349196,0.007952316,0.002531029],"domain_scores_gemma":[0.9815907,0.002480238,0.0004485053,0.001237319,0.01136056,0.002882532],"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":[0.00002935902,0.0000207872,0.0002039528,0.00002835034,0.000001920256,0.0000248577,0.00002958847,0.00002559684,0.00003665935,0.008161913,0.9874824,0.003954612],"study_design_scores_gemma":[0.00001595779,0.0000167267,0.001027362,0.00009089547,0.000005805513,0.00002042487,0.0001625783,0.00009577969,0.0002774211,0.00213149,0.9961404,0.00001511918],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002159311,0.001251224,0.001300195,0.05954903,0.01630297,0.0003541789,0.01708952,0.00180603,0.9001875],"genre_scores_gemma":[0.008298472,0.0007426307,0.0005721371,0.01427403,0.001398894,0.0002166104,0.007897058,0.0008027602,0.9657974],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2851916,"threshold_uncertainty_score":0.9540609,"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003052817,0.000756488,0.0004757382,0.002673423,0.003773613,0.01242688,0.001230189,0.002638207,0.05353775],"category_scores_gemma":[0.007882209,0.0007011791,0.0009199265,0.002555723,0.004985881,0.005942615,0.003519971,0.003656239,0.01943781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005978156,"about_ca_system_score_gemma":0.01048257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01558851,"about_ca_topic_score_gemma":0.01484823,"domain_scores_codex":[0.9954326,0.001080268,0.0002513932,0.0007512009,0.001929287,0.0005551875],"domain_scores_gemma":[0.9958614,0.001055778,0.0004352602,0.000621072,0.00151754,0.0005090493],"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":[0.0001151408,0.0000808341,0.004163676,0.0003813578,0.00004577841,0.0004949418,0.0057273,0.0009870282,0.003073133,0.8530191,0.03233825,0.09957338],"study_design_scores_gemma":[0.00003112697,0.00005480936,0.007136494,0.0003720204,0.00004395454,0.0006029165,0.004439277,0.0009819546,0.002890937,0.1441811,0.8391774,0.00008802952],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03228129,0.007550098,0.0458229,0.0163319,0.001536592,0.0001946593,0.001103822,0.0004973146,0.8946814],"genre_scores_gemma":[0.5586166,0.01361157,0.05748098,0.003070708,0.0009052592,0.0007143864,0.001358193,0.0007782559,0.363464],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05353775,"threshold_uncertainty_score":0.1791016,"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001928862,0.0008545899,0.0004792447,0.002921121,0.002405439,0.004918233,0.001083991,0.001453635,0.5689936],"category_scores_gemma":[0.006138735,0.000798545,0.000388395,0.001601544,0.0006875408,0.002392873,0.002062746,0.001809016,0.3950781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002442586,"about_ca_system_score_gemma":0.009066049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03142999,"about_ca_topic_score_gemma":0.07000387,"domain_scores_codex":[0.9964617,0.0001396318,0.00006904473,0.0003853772,0.002646717,0.0002975815],"domain_scores_gemma":[0.994655,0.0002752684,0.000191313,0.0003091639,0.003569356,0.0009999597],"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":[0.00002879928,0.0000241817,0.0001817619,0.00003387096,0.000001226357,0.00003382538,0.00002678136,0.00002125963,0.0001850217,0.004109247,0.950821,0.044533],"study_design_scores_gemma":[0.00001129333,0.00001501088,0.0003507661,0.00003091675,0.000001775629,0.00005073188,0.00003656122,0.00008891291,0.000140329,0.0004083263,0.9988601,0.000005297491],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0008305467,0.0005898364,0.0009887586,0.005319464,0.0006021182,0.0001868052,0.00287677,0.002875261,0.9857304],"genre_scores_gemma":[0.003231297,0.00049528,0.001419369,0.001108003,0.0001743553,0.00005864304,0.002313987,0.0006699414,0.9905291],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5689936,"threshold_uncertainty_score":0.6147783,"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001214417,0.0002071672,0.0001586934,0.0008587697,0.004402303,0.00698022,0.0004756076,0.001293637,0.01234949],"category_scores_gemma":[0.002170845,0.000161947,0.0002098371,0.001744472,0.004275735,0.002793743,0.001881476,0.00189718,0.0008208487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006952859,"about_ca_system_score_gemma":0.01278411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1441953,"about_ca_topic_score_gemma":0.2324494,"domain_scores_codex":[0.9991235,0.000192935,0.00001632449,0.00008611388,0.0001992856,0.0003818067],"domain_scores_gemma":[0.999123,0.0001798389,0.00009218371,0.00008768425,0.0002413633,0.000275999],"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":[0.00007497166,0.00005260437,0.0327927,0.00004233601,0.00003933484,0.0004199599,0.01371642,0.001123565,0.0009111711,0.8392234,0.07973192,0.03187157],"study_design_scores_gemma":[0.00005417735,0.0001095549,0.1011075,0.0001615257,0.0001045063,0.0000916978,0.02059622,0.00466407,0.001873807,0.1808892,0.690219,0.0001288021],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3390224,0.0008251034,0.003249905,0.03207601,0.0004309399,0.00005137085,0.0003349222,0.0001615695,0.6238477],"genre_scores_gemma":[0.9077633,0.0002780634,0.0003038048,0.002987992,0.00008416881,0.00002671908,0.00006662335,0.00005595031,0.08843344],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1441953,"threshold_uncertainty_score":0.286712,"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009817087,0.0005308864,0.0004228538,0.001783979,0.01323377,0.01906845,0.001613745,0.007477119,0.009399612],"category_scores_gemma":[0.02034615,0.0002852771,0.0004045397,0.001789328,0.05697791,0.01012291,0.008789032,0.008796698,0.0005437567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006805211,"about_ca_system_score_gemma":0.007227161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01069096,"about_ca_topic_score_gemma":0.008733437,"domain_scores_codex":[0.9912432,0.006204587,0.000176633,0.0004122879,0.0006320425,0.001331215],"domain_scores_gemma":[0.9932917,0.003889428,0.0006670606,0.0004174001,0.0007588943,0.0009754131],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004449409,0.00001445214,0.0003720421,0.00003798041,0.000004335564,0.0001174473,0.05089391,0.0002123527,0.00005395077,0.9397231,0.005768893,0.002757183],"study_design_scores_gemma":[0.00004386459,0.00004485816,0.001423271,0.0005048763,0.00001574814,0.0001068222,0.2010712,0.0003789023,0.0001556487,0.5511265,0.2450703,0.00005788658],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1001191,0.005297673,0.004185521,0.3531528,0.004952236,0.00004895208,0.0001468791,0.00005350886,0.5320433],"genre_scores_gemma":[0.9832672,0.0008189256,0.0004366064,0.006104848,0.0006152168,0.00004055304,0.00002135607,0.00003795017,0.008657265],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01906845,"threshold_uncertainty_score":0.05191839,"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007712271,0.000162816,0.0001683289,0.001453318,0.0009303994,0.001999856,0.0002850411,0.0001632026,0.007436189],"category_scores_gemma":[0.00264668,0.00007290799,0.0001826898,0.001453853,0.000735882,0.0005367297,0.001212016,0.0003597875,0.0004526903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001698058,"about_ca_system_score_gemma":0.001871543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0215182,"about_ca_topic_score_gemma":0.04229757,"domain_scores_codex":[0.9994299,0.0002475639,0.00004435856,0.00004872522,0.0001037293,0.0001257688],"domain_scores_gemma":[0.9974814,0.00105755,0.0005661438,0.00007114428,0.0003598349,0.0004639844],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003334053,0.0001485721,0.8584414,0.0004781348,0.0001271937,0.004135346,0.0610533,0.0007050134,0.001215604,0.006566486,0.003473168,0.06332251],"study_design_scores_gemma":[0.000002555634,0.00003135674,0.9697719,0.0000997404,0.00002016871,0.0001479113,0.02586468,0.0001362412,0.0001065805,0.00009065674,0.003721454,0.000006750211],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9847571,0.0003535932,0.00002888161,0.0002950094,0.00001666349,0.000004476325,0.0001908589,0.000002941234,0.01435054],"genre_scores_gemma":[0.9980687,0.0003552787,0.00002270027,0.00002343154,0.000008939911,0.000003876115,0.00007274945,0.000001826618,0.001442495],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0215182,"threshold_uncertainty_score":0.04278588,"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002640555,0.001850684,0.0009574284,0.00422127,0.005424977,0.01114372,0.002667741,0.003797831,0.281512],"category_scores_gemma":[0.005954472,0.0009423448,0.0009228613,0.007526646,0.001303722,0.002778879,0.001929325,0.003302049,0.1506274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03142914,"about_ca_system_score_gemma":0.1103072,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9544874,"about_ca_topic_score_gemma":0.9702717,"domain_scores_codex":[0.9951099,0.00009590616,0.00006539583,0.0002117633,0.0037805,0.0007365933],"domain_scores_gemma":[0.9888873,0.000408599,0.0001594307,0.0003198804,0.007858616,0.002366242],"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":[0.000009585214,0.000009126095,0.00008045809,0.00001090901,0.000001256495,0.000005354655,0.000007626077,0.0000645496,0.00004008476,0.001475742,0.9961056,0.002189585],"study_design_scores_gemma":[0.00001180809,0.000004076534,0.0008837597,0.00001669949,0.000003003102,0.000004042581,0.00004926412,0.0002924555,0.0001632374,0.0004899348,0.9980674,0.00001435537],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001124101,0.0007757202,0.001526281,0.01068119,0.002436377,0.0004565549,0.2316972,0.003029228,0.7482734],"genre_scores_gemma":[0.004016329,0.000556178,0.001165477,0.002513858,0.0002480536,0.000108334,0.0447525,0.001062774,0.9455764],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.281512,"threshold_uncertainty_score":0.9417514,"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002953562,0.001429257,0.0009465637,0.003996892,0.002194999,0.007762416,0.002476583,0.002404918,0.602439],"category_scores_gemma":[0.007576617,0.0007747835,0.001411956,0.003601648,0.0004809503,0.001990415,0.002672317,0.002541227,0.4692759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002955314,"about_ca_system_score_gemma":0.01033744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06759384,"about_ca_topic_score_gemma":0.0954048,"domain_scores_codex":[0.9965365,0.0002101923,0.0001621207,0.0002143364,0.002349179,0.0005275971],"domain_scores_gemma":[0.9940457,0.0004091586,0.0001922417,0.0004440463,0.003624083,0.001284807],"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":[0.00003770423,0.00001982817,0.000118699,0.00003669282,0.00000159496,0.000006681947,0.000004103654,0.00004267745,0.00002089785,0.0004125121,0.9939458,0.00535283],"study_design_scores_gemma":[0.00005259411,0.00002571172,0.001965721,0.00007808465,0.000006069693,0.00001119082,0.00005618897,0.0001603601,0.0002155676,0.0007706535,0.996642,0.0000159],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001355573,0.000750755,0.000832075,0.004302801,0.006935903,0.000659386,0.3313221,0.00282401,0.6510173],"genre_scores_gemma":[0.002232159,0.0003714746,0.0006136522,0.001102943,0.0002984142,0.0003461128,0.09500925,0.000817093,0.8992088],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.602439,"threshold_uncertainty_score":0.5670724,"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001624848,0.000599232,0.0003278855,0.002604966,0.002857719,0.006283155,0.0007664575,0.001038772,0.04907643],"category_scores_gemma":[0.006092193,0.0004096793,0.0005374879,0.003448242,0.002527679,0.00308723,0.002377365,0.001784289,0.01464645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003195846,"about_ca_system_score_gemma":0.007336438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01439315,"about_ca_topic_score_gemma":0.01736715,"domain_scores_codex":[0.99722,0.0004867815,0.0002041401,0.0003624928,0.001449457,0.0002770924],"domain_scores_gemma":[0.9967206,0.0007865683,0.0003068912,0.0004367331,0.001428764,0.0003203891],"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":[0.0001802753,0.00009242832,0.007311474,0.0008042502,0.00004248025,0.0005967755,0.008955173,0.001413977,0.00580184,0.6011577,0.05588007,0.3177636],"study_design_scores_gemma":[0.00001805766,0.00005604556,0.008584989,0.0003403175,0.00003385158,0.0005930974,0.004107229,0.0005410492,0.004004294,0.06368268,0.9179501,0.00008830625],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.04036387,0.006749761,0.05329842,0.004169512,0.001600771,0.0004366547,0.002844833,0.0009078673,0.8896284],"genre_scores_gemma":[0.5956281,0.01234932,0.08618724,0.001139586,0.0007093852,0.00107323,0.00323616,0.0009631073,0.2987138],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.04907643,"threshold_uncertainty_score":0.164177,"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.001624848,0.000599232,0.0003278855,0.002604966,0.002857719,0.006283155,0.0007664575,0.001038772,0.04907643],"category_scores_gemma":[0.006092193,0.0004096793,0.0005374879,0.003448242,0.002527679,0.00308723,0.002377365,0.001784289,0.01464645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003195846,"about_ca_system_score_gemma":0.007336438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01439315,"about_ca_topic_score_gemma":0.01736715,"domain_scores_codex":[0.99722,0.0004867815,0.0002041401,0.0003624928,0.001449457,0.0002770924],"domain_scores_gemma":[0.9967206,0.0007865683,0.0003068912,0.0004367331,0.001428764,0.0003203891],"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":[0.0001802753,0.00009242832,0.007311474,0.0008042502,0.00004248025,0.0005967755,0.008955173,0.001413977,0.00580184,0.6011577,0.05588007,0.3177636],"study_design_scores_gemma":[0.00001805766,0.00005604556,0.008584989,0.0003403175,0.00003385158,0.0005930974,0.004107229,0.0005410492,0.004004294,0.06368268,0.9179501,0.00008830625],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04036387,0.006749761,0.05329842,0.004169512,0.001600771,0.0004366547,0.002844833,0.0009078673,0.8896284],"genre_scores_gemma":[0.5956281,0.01234932,0.08618724,0.001139586,0.0007093852,0.00107323,0.00323616,0.0009631073,0.2987138],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.997395,"threshold_uncertainty_score":0.164177,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}