{"meta":{"query_hash":"a35fcce88ba5","filters":{"topic":"COVID-19, Geopolitics, Technology, Migration"},"cohort_total":28,"direct_labels_cover":0,"predictions_cover":28,"exported":28,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/a35fcce88ba5","api":"https://metacan.xera.ac/api/v1/cohort?topic=COVID-19%2C+Geopolitics%2C+Technology%2C+Migration"},"results":[{"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Pharmacy; TRIPS architecture; Business; Backlash; Advertising; Political science; Law; Engineering; Transport engineering","score_opus":0.057252478171936835,"score_gpt":0.3863814652914114,"score_spread":0.3291289871194745,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2063810721","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.070273295,0.009013791,0.00025858657,0.54697204,0.034113042,0.00013806469,0.0035419858,0.00046464865,0.3352246],"genre_scores_gemma":[0.26153305,0.0061396873,0.0007941346,0.3282807,0.008032498,0.0002145003,0.002697728,0.00020979796,0.3920978],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990382,0.00013171113,0.000042191456,0.00007794463,0.0002863669,0.00042354694],"domain_scores_gemma":[0.99864537,0.00018600617,0.00012150364,0.00005051446,0.000273139,0.0007234431],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012332909,0.00037960775,0.00020109848,0.0008822465,0.0040045152,0.0033152057,0.0002909204,0.0044110892,0.030559752],"category_scores_gemma":[0.0021474978,0.0002162989,0.0003252519,0.0007324981,0.00093487307,0.0015333951,0.0016136995,0.003880707,0.00383189],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000101738246,0.00007600442,0.0057743043,0.000058426478,0.0000069957255,0.0004067295,0.00051222765,0.000022172679,0.00033828182,0.0047118925,0.96365386,0.024337381],"study_design_scores_gemma":[0.000035387657,0.000078087854,0.03378266,0.00015445525,0.000009339865,0.00016426723,0.002055293,0.0000566266,0.0003392789,0.00058281876,0.9627239,0.000017836252],"about_ca_topic_score_codex":0.0518985,"about_ca_topic_score_gemma":0.116849,"teacher_disagreement_score":0.0518985,"about_ca_system_score_codex":0.002867963,"about_ca_system_score_gemma":0.0041468875,"threshold_uncertainty_score":0.103192866},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Commission; Library science; Political science; Regional science; Engineering; Sociology; Computer science; Law","score_opus":0.07607170816394984,"score_gpt":0.3791158824547093,"score_spread":0.30304417429075947,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2890141739","genre_codex":"other","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0049388167,0.009603509,0.033677295,0.044272013,0.23059963,0.00277255,0.044658795,0.0097337635,0.6197436],"genre_scores_gemma":[0.014868496,0.0057489313,0.009919366,0.0029288973,0.03566124,0.001019718,0.035592165,0.0039875153,0.89027363],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.998192,0.00022150986,0.000117490854,0.00021134866,0.0010949586,0.00016274775],"domain_scores_gemma":[0.98766065,0.00061280536,0.00039215444,0.0012846551,0.008969056,0.0010806445],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033368517,0.0013189794,0.0008641396,0.003894035,0.0019996148,0.0060058353,0.0021174215,0.0025128864,0.25514325],"category_scores_gemma":[0.006958723,0.00055178214,0.0008046604,0.0021959215,0.00057068927,0.00408093,0.002407307,0.003056545,0.26145473],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045064495,0.000042010135,0.00009647447,0.00010069926,0.00000275964,0.000024752107,0.000022612445,0.00015366508,0.00051999796,0.00062860263,0.9703523,0.028011108],"study_design_scores_gemma":[0.000009397826,0.000033606513,0.00078032963,0.00014545528,0.0000028179418,0.000020764106,0.000065093205,0.00020456435,0.0005386745,0.0011651247,0.9970253,0.000008891898],"about_ca_topic_score_codex":0.0064812554,"about_ca_topic_score_gemma":0.007634067,"teacher_disagreement_score":0.25514325,"about_ca_system_score_codex":0.002087399,"about_ca_system_score_gemma":0.0031772843,"threshold_uncertainty_score":0.8535392},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Commission; Political science; Engineering; Library science; Computer science; Law","score_opus":0.026420345493787436,"score_gpt":0.3069437793627937,"score_spread":0.2805234338690063,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2912204514","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0054375688,0.010343354,0.049440473,0.031189509,0.15122625,0.002686688,0.0813408,0.014832421,0.65350294],"genre_scores_gemma":[0.016015014,0.0071080225,0.017119002,0.002230891,0.023820044,0.0012651611,0.07358577,0.007184132,0.85167205],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981996,0.00022511101,0.00012948383,0.00021236653,0.0010836856,0.00014977404],"domain_scores_gemma":[0.9897083,0.0005677465,0.0003374457,0.0014657819,0.0071486225,0.000772133],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0032601277,0.0012980242,0.00086524815,0.004065542,0.0017111951,0.005716714,0.0020688686,0.0018623201,0.24617858],"category_scores_gemma":[0.0068383,0.0005814723,0.0008225078,0.0028969834,0.000568794,0.004220511,0.0023414574,0.0026268873,0.25895804],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047122005,0.00004071626,0.00012059458,0.0001331043,0.0000036520016,0.000025333047,0.000031244093,0.00021149796,0.0005983827,0.00077507185,0.9580117,0.04000161],"study_design_scores_gemma":[0.000008343847,0.00002422329,0.00076584984,0.00015044464,0.0000025717347,0.000020529415,0.00006495169,0.00019923323,0.0005713419,0.0011722526,0.9970118,0.000008475802],"about_ca_topic_score_codex":0.007211115,"about_ca_topic_score_gemma":0.007815416,"teacher_disagreement_score":0.75382143,"about_ca_system_score_codex":0.0019672052,"about_ca_system_score_gemma":0.0028758217,"threshold_uncertainty_score":0.8235494},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_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)","score_opus":0.3949796361022924,"score_gpt":0.5674038647652114,"score_spread":0.172424228662919,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3085085237","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.825594,0.0027299854,0.021011576,0.012547207,0.0002871869,0.00013546512,0.0015553912,0.00012319344,0.13601604],"genre_scores_gemma":[0.9950472,0.001030756,0.0014151813,0.00019267536,0.00003143195,0.000040055576,0.00024305192,0.000007022665,0.001992503],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99966395,0.00014224247,0.000016194535,0.000034671888,0.000051182637,0.000091839516],"domain_scores_gemma":[0.9996606,0.000081942824,0.00009051253,0.00001595914,0.000089979854,0.000060964358],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00075094565,0.0003171796,0.00020746568,0.0008405581,0.0007212933,0.0022238914,0.0003681212,0.0011534975,0.002225927],"category_scores_gemma":[0.0013774132,0.00011974876,0.0004665627,0.0007279221,0.0006737268,0.0028306071,0.00080434646,0.0006689149,0.00015497868],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033314392,0.00011359866,0.037950702,0.00022864506,0.00009989401,0.009310439,0.0011546491,0.13931978,0.0024597535,0.76735,0.017957587,0.023721848],"study_design_scores_gemma":[0.000096907075,0.0003214707,0.050095666,0.00023955038,0.000108271706,0.0029959178,0.012237939,0.35129556,0.0031924932,0.4909224,0.08830068,0.00019315569],"about_ca_topic_score_codex":0.0044420236,"about_ca_topic_score_gemma":0.0042510186,"teacher_disagreement_score":0.0044420236,"about_ca_system_score_codex":0.0018748993,"about_ca_system_score_gemma":0.00081670104,"threshold_uncertainty_score":0.013603389},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.4757177073327784,"score_gpt":0.5108222683435001,"score_spread":0.03510456101072168,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3184289431","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8446556,0.002326516,0.012109716,0.016135113,0.00017602216,0.00011903033,0.000069172886,0.000025187104,0.12438374],"genre_scores_gemma":[0.9970565,0.0002810952,0.00083384395,0.000118729695,0.000018341774,0.00001540509,0.000009453195,0.0000023592363,0.0016644234],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9879233,0.008856847,0.0002322163,0.0006235357,0.00096132694,0.001402736],"domain_scores_gemma":[0.99152046,0.0042754174,0.0015354045,0.00049217587,0.001242574,0.00093398354],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010537072,0.00023563135,0.00021282079,0.002044811,0.0062212036,0.0061342823,0.001071298,0.0013883408,0.006886754],"category_scores_gemma":[0.0103889415,0.00022798308,0.00030781876,0.0015809663,0.010463713,0.0055790734,0.0038216633,0.0013049758,0.00030117718],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016353777,0.00040828012,0.17676102,0.00045578348,0.000045838347,0.0018283279,0.29647478,0.0020594609,0.002639117,0.37616208,0.0040604444,0.13894129],"study_design_scores_gemma":[0.000011338929,0.00031149006,0.12817582,0.00052182254,0.000033192162,0.0009545086,0.72907156,0.0025131456,0.0011733851,0.06260447,0.07457824,0.000051033036],"about_ca_topic_score_codex":0.0076523353,"about_ca_topic_score_gemma":0.014712804,"teacher_disagreement_score":0.010537072,"about_ca_system_score_codex":0.0078486595,"about_ca_system_score_gemma":0.00839834,"threshold_uncertainty_score":0.056946337},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Business; Production (economics); Computer science; Economics","score_opus":0.0793290542226485,"score_gpt":0.35960651846807484,"score_spread":0.2802774642454263,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323063052","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0008305467,0.00058983645,0.0009887586,0.0053194645,0.0006021182,0.00018680522,0.0028767698,0.0028752615,0.9857304],"genre_scores_gemma":[0.0032312968,0.00049528,0.0014193685,0.0011080033,0.0001743553,0.000058643036,0.0023139874,0.00066994136,0.9905291],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9964617,0.00013963177,0.00006904473,0.0003853772,0.0026467172,0.00029758152],"domain_scores_gemma":[0.994655,0.00027526836,0.00019131304,0.00030916388,0.0035693564,0.0009999597],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0019288624,0.00085458986,0.0004792447,0.0029211214,0.0024054388,0.0049182335,0.0010839909,0.001453635,0.5689936],"category_scores_gemma":[0.006138735,0.000798545,0.00038839495,0.0016015436,0.0006875408,0.0023928734,0.0020627456,0.0018090155,0.39507806],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028799277,0.0000241817,0.00018176186,0.000033870958,0.0000012263567,0.000033825378,0.000026781356,0.000021259631,0.00018502166,0.0041092467,0.95082104,0.044533003],"study_design_scores_gemma":[0.000011293329,0.000015010881,0.0003507661,0.000030916748,0.0000017756288,0.000050731876,0.000036561225,0.00008891291,0.00014032898,0.0004083263,0.9988601,0.0000052974906],"about_ca_topic_score_codex":0.031429987,"about_ca_topic_score_gemma":0.07000387,"teacher_disagreement_score":0.5689936,"about_ca_system_score_codex":0.002442586,"about_ca_system_score_gemma":0.009066049,"threshold_uncertainty_score":0.6147783},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Medicine","score_opus":0.035798864688303844,"score_gpt":0.3575413555757402,"score_spread":0.32174249088743634,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405819761","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.044342563,0.0028951091,0.0014663845,0.003093689,0.0031984875,0.00042034825,0.011829225,0.0011334374,0.9316208],"genre_scores_gemma":[0.03458561,0.0005792806,0.0008422424,0.0003072355,0.00015909917,0.000052109604,0.004521083,0.00020908646,0.95874417],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995372,0.000027637672,0.00001192938,0.00006904962,0.00021229003,0.0001418514],"domain_scores_gemma":[0.9997539,0.00001092747,0.000021210259,0.000024166504,0.00010435724,0.000085429674],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00063700817,0.00058664434,0.00024985516,0.0008671238,0.0023133196,0.0023330983,0.0009277991,0.0009144094,0.36775818],"category_scores_gemma":[0.00050990883,0.00030687056,0.00021181951,0.0007188294,0.00057891605,0.0010281192,0.002104429,0.0008375344,0.1402033],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008616553,0.00018839692,0.0054544886,0.0005714371,0.000024952817,0.0014760005,0.0010131497,0.0003107398,0.00562503,0.0133011965,0.73480225,0.23637073],"study_design_scores_gemma":[0.000018353649,0.00008389146,0.0094920695,0.00006809019,0.0000026282605,0.0002935702,0.00052138494,0.00009264557,0.000689916,0.00038428,0.9883436,0.000009629652],"about_ca_topic_score_codex":0.022928154,"about_ca_topic_score_gemma":0.098028675,"teacher_disagreement_score":0.36775818,"about_ca_system_score_codex":0.0022876412,"about_ca_system_score_gemma":0.0029606814,"threshold_uncertainty_score":0.9018162},"labels":[],"label_agreement":null},{"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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)","score_opus":0.10619938395918287,"score_gpt":0.40927026326435745,"score_spread":0.30307087930517457,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413574602","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.70610976,0.008863452,0.0027912585,0.18817827,0.0009052151,0.000015775311,0.00039680558,0.000024737681,0.092714675],"genre_scores_gemma":[0.9968028,0.0010791171,0.00013444669,0.0010923181,0.0000911266,0.000004224454,0.000032988763,0.000009492531,0.0007534986],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99578995,0.002299639,0.00017843697,0.00044927292,0.00040381865,0.0008788581],"domain_scores_gemma":[0.9896395,0.005702084,0.0017535086,0.0007435572,0.0009542712,0.0012071364],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009572904,0.00019903068,0.00043698456,0.0015456069,0.004014436,0.0087916525,0.0009247036,0.0031570378,0.0033557522],"category_scores_gemma":[0.01845247,0.0002063172,0.000221835,0.0017323688,0.009848954,0.008395716,0.0054950407,0.0043043857,0.0003103811],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002847154,0.00014088413,0.14062504,0.00030612532,0.00015416712,0.001454428,0.3023858,0.00094956503,0.00072256976,0.44172153,0.016740864,0.09451424],"study_design_scores_gemma":[0.000023970722,0.00015514635,0.14036073,0.0010984745,0.000083366576,0.000725542,0.3743045,0.0018044424,0.0007804817,0.32098696,0.15955043,0.00012594798],"about_ca_topic_score_codex":0.013406257,"about_ca_topic_score_gemma":0.013052733,"teacher_disagreement_score":0.013406257,"about_ca_system_score_codex":0.0043910663,"about_ca_system_score_gemma":0.0034255597,"threshold_uncertainty_score":0.050626993},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"State (computer science); Applications of artificial intelligence; Key (lock); Work (physics); Current (fluid)","score_opus":0.033142247140123295,"score_gpt":0.37911098422311656,"score_spread":0.34596873708299325,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414618350","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03228129,0.0075500975,0.045822896,0.016331898,0.0015365923,0.0001946593,0.0011038218,0.0004973146,0.8946814],"genre_scores_gemma":[0.55861664,0.013611575,0.05748098,0.0030707081,0.0009052592,0.0007143864,0.0013581932,0.00077825587,0.36346403],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9954326,0.0010802684,0.00025139315,0.0007512009,0.0019292868,0.00055518746],"domain_scores_gemma":[0.99586135,0.001055778,0.0004352602,0.000621072,0.0015175398,0.00050904934],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030528172,0.000756488,0.00047573823,0.002673423,0.0037736131,0.01242688,0.0012301889,0.0026382066,0.053537745],"category_scores_gemma":[0.007882209,0.0007011791,0.0009199265,0.0025557228,0.0049858806,0.005942615,0.0035199712,0.0036562386,0.019437807],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011514081,0.0000808341,0.0041636764,0.00038135782,0.00004577841,0.0004949418,0.0057273,0.0009870282,0.003073133,0.8530191,0.03233825,0.09957338],"study_design_scores_gemma":[0.000031126972,0.000054809363,0.0071364944,0.0003720204,0.000043954544,0.0006029165,0.004439277,0.0009819546,0.0028909375,0.14418109,0.8391774,0.00008802952],"about_ca_topic_score_codex":0.015588513,"about_ca_topic_score_gemma":0.014848226,"teacher_disagreement_score":0.053537745,"about_ca_system_score_codex":0.0059781563,"about_ca_system_score_gemma":0.0104825655,"threshold_uncertainty_score":0.17910159},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"George (robot); Goto; Electronic mail; Online presence management","score_opus":0.07317698042241197,"score_gpt":0.3084417666916685,"score_spread":0.23526478626925654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6893688588","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0016234752,0.00039746767,0.0002948033,0.0018866573,0.0019395612,0.00007442025,0.0024012318,0.0016059658,0.9897765],"genre_scores_gemma":[0.0043794257,0.0002916532,0.00025873416,0.00035137474,0.00017623804,0.000026843418,0.0011299487,0.0006577736,0.9927281],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998809,0.000012646711,0.0000031788054,0.000020107918,0.000044088185,0.000039017377],"domain_scores_gemma":[0.99966156,0.000021481166,0.000010017413,0.000022543436,0.000098217526,0.00018617911],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00022321365,0.00042718387,0.00022103733,0.0003960308,0.0021345355,0.0034101803,0.00048134726,0.00079222466,0.7969896],"category_scores_gemma":[0.0008235108,0.00024057359,0.00024229728,0.0003633967,0.0002509455,0.0023667351,0.0019240397,0.0014010812,0.5912446],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022092638,0.000012304698,0.000094260984,0.00003842101,0.0000011860071,0.00005646839,0.00019578885,0.000007589306,0.00027742545,0.0008732385,0.9834289,0.014992359],"study_design_scores_gemma":[0.0000042137044,0.0000061945893,0.0006947261,0.000027973134,0.0000010947549,0.000036645786,0.00030346937,0.000014529942,0.00012383345,0.000088504996,0.9986957,0.0000031909615],"about_ca_topic_score_codex":0.007091048,"about_ca_topic_score_gemma":0.030612726,"teacher_disagreement_score":0.20301038,"about_ca_system_score_codex":0.00074952963,"about_ca_system_score_gemma":0.00033844842,"threshold_uncertainty_score":0.28956962},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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)","score_opus":0.08570169085373944,"score_gpt":0.2894389111096394,"score_spread":0.20373722025589994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6920470627","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8687086,0.0016121534,0.0020276462,0.0054330407,0.000053900254,0.00004370257,0.00011975619,0.00002980495,0.12197151],"genre_scores_gemma":[0.9901884,0.0006421663,0.00065128505,0.00019792294,0.000007778732,0.000016951466,0.000042188276,0.0000066137472,0.008246558],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99908566,0.00023941159,0.000042511452,0.00012834654,0.00021731525,0.00028674753],"domain_scores_gemma":[0.99909806,0.00020387875,0.00026202152,0.000091083304,0.00015062625,0.00019427399],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013802035,0.00020394474,0.00020139533,0.0021282092,0.004033483,0.0056679863,0.00038260128,0.00068346225,0.0044734757],"category_scores_gemma":[0.0015362852,0.00015397763,0.00030830398,0.0045209704,0.004326824,0.002604898,0.0028114829,0.0010769715,0.00020566375],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014303216,0.00006188985,0.19025324,0.00022263387,0.000060455597,0.0009089462,0.057554707,0.001166201,0.0038783033,0.67538625,0.0026933765,0.06767088],"study_design_scores_gemma":[0.000025389698,0.00019457053,0.5548583,0.0005066951,0.00010203176,0.00041363869,0.10001439,0.0025885392,0.0032308532,0.04525426,0.29273072,0.00008066629],"about_ca_topic_score_codex":0.079762146,"about_ca_topic_score_gemma":0.14349864,"teacher_disagreement_score":0.079762146,"about_ca_system_score_codex":0.010918932,"about_ca_system_score_gemma":0.013301152,"threshold_uncertainty_score":0.1585958},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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)","score_opus":0.08570169085373944,"score_gpt":0.2894389111096394,"score_spread":0.20373722025589994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6920690543","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8687086,0.0016121534,0.0020276462,0.0054330407,0.000053900254,0.00004370257,0.00011975619,0.00002980495,0.12197151],"genre_scores_gemma":[0.9901884,0.0006421663,0.00065128505,0.00019792294,0.000007778732,0.000016951466,0.000042188276,0.0000066137472,0.008246558],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99908566,0.00023941159,0.000042511452,0.00012834654,0.00021731525,0.00028674753],"domain_scores_gemma":[0.99909806,0.00020387875,0.00026202152,0.000091083304,0.00015062625,0.00019427399],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0013802035,0.00020394474,0.00020139533,0.0021282092,0.004033483,0.0056679863,0.00038260128,0.00068346225,0.0044734757],"category_scores_gemma":[0.0015362852,0.00015397763,0.00030830398,0.0045209704,0.004326824,0.002604898,0.0028114829,0.0010769715,0.00020566375],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014303216,0.00006188985,0.19025324,0.00022263387,0.000060455597,0.0009089462,0.057554707,0.001166201,0.0038783033,0.67538625,0.0026933765,0.06767088],"study_design_scores_gemma":[0.000025389698,0.00019457053,0.5548583,0.0005066951,0.00010203176,0.00041363869,0.10001439,0.0025885392,0.0032308532,0.04525426,0.29273072,0.00008066629],"about_ca_topic_score_codex":0.079762146,"about_ca_topic_score_gemma":0.14349864,"teacher_disagreement_score":0.9959665,"about_ca_system_score_codex":0.010918932,"about_ca_system_score_gemma":0.013301152,"threshold_uncertainty_score":0.1585958},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Estonian; Population; Quarter (Canadian coin); Regression analysis; Service (business); Data collection","score_opus":0.2209528918093323,"score_gpt":0.5785464649340135,"score_spread":0.3575935731246812,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6944812372","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98475707,0.0003535932,0.000028881614,0.0002950094,0.000016663493,0.000004476325,0.00019085895,0.0000029412336,0.014350535],"genre_scores_gemma":[0.99806875,0.00035527872,0.000022700275,0.000023431538,0.000008939911,0.000003876115,0.00007274945,0.0000018266181,0.001442495],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994299,0.00024756393,0.000044358556,0.000048725222,0.00010372928,0.00012576884],"domain_scores_gemma":[0.9974814,0.0010575502,0.00056614383,0.00007114428,0.0003598349,0.0004639844],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00077122706,0.00016281602,0.00016832887,0.0014533182,0.0009303994,0.0019998555,0.00028504114,0.00016320258,0.0074361893],"category_scores_gemma":[0.0026466802,0.00007290799,0.00018268981,0.0014538531,0.00073588203,0.0005367297,0.0012120156,0.00035978755,0.00045269026],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003334053,0.00014857209,0.85844135,0.00047813478,0.00012719369,0.0041353456,0.0610533,0.0007050134,0.0012156038,0.0065664863,0.0034731675,0.063322514],"study_design_scores_gemma":[0.000002555634,0.000031356736,0.96977186,0.0000997404,0.000020168713,0.0001479113,0.025864685,0.00013624123,0.00010658052,0.000090656744,0.0037214542,0.000006750211],"about_ca_topic_score_codex":0.021518199,"about_ca_topic_score_gemma":0.04229757,"teacher_disagreement_score":0.021518199,"about_ca_system_score_codex":0.0016980576,"about_ca_system_score_gemma":0.0018715425,"threshold_uncertainty_score":0.042785883},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Permafrost; Water content; Taiga; Hydrology (agriculture); Vegetation (pathology); Soil water; Evergreen; Boreal; Subsoil","score_opus":0.03247190862645072,"score_gpt":0.30361137488675916,"score_spread":0.27113946626030844,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6976818863","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97282887,0.0001218863,0.003906599,0.00006245692,0.00008603411,0.00035901586,0.019137006,0.00067155395,0.0028265363],"genre_scores_gemma":[0.9648587,0.00009079951,0.014924324,0.00010188974,0.000030156716,0.0011329502,0.0151683,0.000127842,0.003565008],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995359,0.0001410779,0.000050618895,0.00014217869,0.00007341045,0.00005681382],"domain_scores_gemma":[0.99811196,0.00084097945,0.0004994463,0.00013048608,0.00023707289,0.00018006784],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004951993,0.00064830744,0.0006427051,0.0005400005,0.00026796066,0.00035571473,0.00042487044,0.00023306606,0.008758299],"category_scores_gemma":[0.0008171779,0.00017046025,0.00044443968,0.00061152095,0.00037811144,0.0003389416,0.0004405893,0.00056671473,0.00065530994],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.018609708,0.0061804126,0.5430927,0.001970384,0.002261914,0.00042583887,0.0024857407,0.010704286,0.25490797,0.0012058589,0.02606596,0.13208917],"study_design_scores_gemma":[0.0001530257,0.0017635336,0.97245973,0.000050278777,0.000119945376,0.0000673192,0.0011460526,0.007981327,0.009395114,0.0002094214,0.006585044,0.00006916016],"about_ca_topic_score_codex":0.0029645732,"about_ca_topic_score_gemma":0.0066248695,"teacher_disagreement_score":0.008758299,"about_ca_system_score_codex":0.00019126691,"about_ca_system_score_gemma":0.00026934507,"threshold_uncertainty_score":0.029299438},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Neuroma; Randomized controlled trial; Phantom pain; Clinical trial; Reinnervation; Psychological intervention; Neurotomy","score_opus":0.20846822061470702,"score_gpt":0.48923036943899784,"score_spread":0.28076214882429085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6977007681","genre_codex":"protocol","genre_gemma":"protocol","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"protocol","genre_consensus":"protocol","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0015092077,0.0003038786,0.0011757739,0.00012615224,0.0003274019,0.995552,0.00057315105,0.000059253874,0.00037316215],"genre_scores_gemma":[0.0015856859,0.00012879689,0.001341979,0.00011402493,0.00004234369,0.996482,0.000078114266,0.0000038754406,0.00022313782],"study_design_codex":"randomized_trial","study_design_gemma":"not_applicable","domain_scores_codex":[0.9690656,0.019047886,0.0036035704,0.0025454587,0.003081533,0.0026559343],"domain_scores_gemma":[0.9782004,0.0073960843,0.0048669153,0.0028518008,0.0043854257,0.0022995754],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04506696,0.008217804,0.017155157,0.0028933864,0.0033692215,0.004693398,0.004263515,0.00960501,0.07383764],"category_scores_gemma":[0.043025076,0.0041457694,0.0070952424,0.0044156355,0.005283396,0.0046607982,0.0022587776,0.0078666145,0.013937048],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.9172146,0.011817737,0.00046447935,0.03338303,0.0024676311,0.00019686583,0.00041661056,0.0013093235,0.0017551716,0.0035096034,0.008526588,0.018938515],"study_design_scores_gemma":[0.9632093,0.017609805,0.00073333323,0.0023734227,0.0009066293,0.00003345607,0.000093089555,0.0010737199,0.00038113355,0.0013549934,0.01215973,0.00007133117],"about_ca_topic_score_codex":0.0017812914,"about_ca_topic_score_gemma":0.003642005,"teacher_disagreement_score":0.07383764,"about_ca_system_score_codex":0.0047906158,"about_ca_system_score_gemma":0.015020355,"threshold_uncertainty_score":0.24701148},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Government (linguistics); Work (physics); Population","score_opus":0.02359346024088096,"score_gpt":0.31896072170421974,"score_spread":0.2953672614633388,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6993035342","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0013555734,0.000750755,0.000832075,0.004302801,0.006935903,0.000659386,0.33132213,0.00282401,0.6510173],"genre_scores_gemma":[0.0022321586,0.0003714746,0.0006136522,0.001102943,0.00029841423,0.00034611276,0.09500925,0.00081709295,0.89920884],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9965365,0.00021019235,0.00016212075,0.00021433638,0.0023491795,0.00052759715],"domain_scores_gemma":[0.99404573,0.00040915865,0.00019224168,0.00044404625,0.0036240825,0.0012848072],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002953562,0.0014292573,0.0009465637,0.003996892,0.0021949993,0.0077624163,0.0024765828,0.0024049182,0.60243905],"category_scores_gemma":[0.0075766174,0.00077478355,0.0014119558,0.0036016481,0.00048095032,0.0019904152,0.002672317,0.002541227,0.4692759],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037704227,0.000019828169,0.000118698954,0.00003669282,0.0000015949596,0.000006681947,0.000004103654,0.000042677453,0.000020897849,0.0004125121,0.9939458,0.00535283],"study_design_scores_gemma":[0.000052594114,0.00002571172,0.0019657214,0.000078084646,0.0000060696934,0.000011190823,0.00005618897,0.0001603601,0.00021556759,0.0007706535,0.996642,0.000015899996],"about_ca_topic_score_codex":0.06759384,"about_ca_topic_score_gemma":0.095404804,"teacher_disagreement_score":0.60243905,"about_ca_system_score_codex":0.0029553135,"about_ca_system_score_gemma":0.010337442,"threshold_uncertainty_score":0.5670724},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Key (lock); Data center; Power (physics); Center (category theory); Power market; Market research","score_opus":0.0352694509400524,"score_gpt":0.31574390344386105,"score_spread":0.28047445250380865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6999111835","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0011241008,0.00077572017,0.0015262808,0.010681188,0.0024363769,0.00045655493,0.23169719,0.0030292282,0.7482734],"genre_scores_gemma":[0.0040163286,0.00055617804,0.0011654774,0.002513858,0.00024805364,0.00010833395,0.0447525,0.0010627744,0.94557637],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99510986,0.00009590616,0.000065395834,0.00021176331,0.0037805005,0.00073659327],"domain_scores_gemma":[0.98888725,0.00040859904,0.00015943073,0.00031988038,0.007858616,0.0023662415],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026405551,0.001850684,0.0009574284,0.0042212703,0.0054249773,0.011143724,0.002667741,0.0037978312,0.28151196],"category_scores_gemma":[0.005954472,0.0009423448,0.00092286133,0.0075266464,0.0013037223,0.002778879,0.001929325,0.003302049,0.15062737],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009585214,0.000009126095,0.00008045809,0.000010909014,0.0000012564949,0.000005354655,0.0000076260767,0.0000645496,0.000040084764,0.001475742,0.9961056,0.0021895852],"study_design_scores_gemma":[0.000011808087,0.0000040765335,0.0008837597,0.000016699494,0.0000030031024,0.0000040425807,0.000049264123,0.00029245554,0.0001632374,0.0004899348,0.99806744,0.000014355367],"about_ca_topic_score_codex":0.9544874,"about_ca_topic_score_gemma":0.9702717,"teacher_disagreement_score":0.28151196,"about_ca_system_score_codex":0.031429138,"about_ca_system_score_gemma":0.11030716,"threshold_uncertainty_score":0.94175136},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Laptop; Phone; Service (business); Mobile phone","score_opus":0.02610945092343437,"score_gpt":0.33016483784168016,"score_spread":0.3040553869182458,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7008023235","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00076351885,0.00025093716,0.00062337157,0.00056191767,0.00060597295,0.00012996366,0.0011743822,0.0013471904,0.99454284],"genre_scores_gemma":[0.00089052867,0.000084043415,0.00015868805,0.00015415448,0.00003558802,0.00002474421,0.00042257633,0.00012829325,0.9981014],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99938905,0.000048571805,0.00002237669,0.00021294101,0.00019685637,0.00013023677],"domain_scores_gemma":[0.9982394,0.00021763248,0.000047202342,0.00010149575,0.00060719484,0.00078695413],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00048727082,0.001327021,0.0010328336,0.00094802765,0.0013329097,0.0036021206,0.0014483616,0.0024988176,0.9687482],"category_scores_gemma":[0.0018603331,0.0005067789,0.0005059159,0.0009341456,0.0004348205,0.0022576721,0.002557391,0.0012642931,0.9727471],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011424916,0.00016150897,0.00036789625,0.00017359835,0.0000061693636,0.00008756621,0.000078132594,0.00010868907,0.0018660174,0.0013426839,0.8386484,0.15704511],"study_design_scores_gemma":[0.000027034672,0.00007921516,0.0007365313,0.00008840452,0.0000064848755,0.00009335046,0.00013117204,0.00014833252,0.00027689178,0.00015572611,0.99824905,0.00000799648],"about_ca_topic_score_codex":0.0018473197,"about_ca_topic_score_gemma":0.0026292233,"teacher_disagreement_score":0.03125179,"about_ca_system_score_codex":0.00071595464,"about_ca_system_score_gemma":0.0008457631,"threshold_uncertainty_score":0.044576824},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Pipeline (software); Volume (thermodynamics); Database transaction; Revenue; Quarter (Canadian coin)","score_opus":0.019019890129715153,"score_gpt":0.30042517671992414,"score_spread":0.28140528659020897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7030455284","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002328593,0.0030787347,0.0023641377,0.010418459,0.004903031,0.00014494617,0.00668047,0.003780983,0.9663006],"genre_scores_gemma":[0.0067856843,0.0011031082,0.0008586093,0.000976804,0.0003147977,0.000037170088,0.0025430135,0.00069580856,0.986685],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993857,0.00003611476,0.000016108497,0.00007987075,0.0003830134,0.0000991648],"domain_scores_gemma":[0.9986523,0.00009337481,0.000077869736,0.000093040406,0.00047707086,0.00060640526],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008213283,0.0009071044,0.0004018452,0.0012647555,0.0012058009,0.005850554,0.0005633579,0.0022584167,0.48103237],"category_scores_gemma":[0.0017928018,0.00041709564,0.00036002893,0.00072852895,0.0005960114,0.0031985966,0.0017852868,0.0017339258,0.4296751],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060171253,0.00003897469,0.00013034514,0.00007896015,0.00000271638,0.00006483945,0.000016014199,0.000054725664,0.001397225,0.0059828595,0.9378299,0.05434337],"study_design_scores_gemma":[0.00001153231,0.000032935914,0.0003514866,0.000055206,0.0000017317788,0.00007192952,0.000029835503,0.00018263899,0.0010609458,0.0012858937,0.99690896,0.000006903235],"about_ca_topic_score_codex":0.0022340901,"about_ca_topic_score_gemma":0.0048627746,"teacher_disagreement_score":0.48103237,"about_ca_system_score_codex":0.0010553307,"about_ca_system_score_gemma":0.002506939,"threshold_uncertainty_score":0.7402443},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Government (linguistics); Work (physics)","score_opus":0.04499407379843484,"score_gpt":0.3660408085200456,"score_spread":0.32104673472161077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7065946141","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0021593105,0.0012512241,0.001300195,0.059549034,0.01630297,0.00035417886,0.01708952,0.0018060298,0.9001875],"genre_scores_gemma":[0.008298472,0.00074263074,0.00057213707,0.014274034,0.001398894,0.0002166104,0.007897058,0.0008027602,0.96579736],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9878011,0.00078437704,0.00029623276,0.0006349196,0.007952316,0.0025310286],"domain_scores_gemma":[0.98159075,0.0024802384,0.00044850534,0.0012373194,0.011360559,0.0028825316],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010010059,0.00095571956,0.0008110223,0.0032828753,0.0065198396,0.016551625,0.0025977262,0.0076693106,0.2851916],"category_scores_gemma":[0.027484475,0.00064409646,0.0013142932,0.0027360143,0.0017143828,0.0044180113,0.004281037,0.0066651106,0.19778186],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002935902,0.000020787196,0.00020395279,0.000028350341,0.0000019202557,0.000024857698,0.000029588467,0.000025596844,0.000036659352,0.008161913,0.9874824,0.0039546117],"study_design_scores_gemma":[0.000015957787,0.000016726695,0.0010273622,0.00009089547,0.000005805513,0.000020424866,0.00016257829,0.00009577969,0.00027742112,0.0021314896,0.9961404,0.00001511918],"about_ca_topic_score_codex":0.060143594,"about_ca_topic_score_gemma":0.10549741,"teacher_disagreement_score":0.2851916,"about_ca_system_score_codex":0.006695001,"about_ca_system_score_gemma":0.021226626,"threshold_uncertainty_score":0.9540609},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Constitutionalism; Constitution; Human rights; Population; Convention; State (computer science); Context (archaeology); Legal culture; Sovereignty; Politics","score_opus":0.09781975690871203,"score_gpt":0.3749047379619494,"score_spread":0.27708498105323737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7104283172","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.32110155,0.0056389743,0.06921936,0.1350974,0.0006799657,0.00020540963,0.00012276662,0.00014563235,0.46778893],"genre_scores_gemma":[0.9918669,0.0005569222,0.0036213568,0.0008620315,0.00013333667,0.000062834755,0.000020712048,0.000028197923,0.0028476613],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9919037,0.0050713024,0.00025765292,0.0012150761,0.00055150315,0.0010008211],"domain_scores_gemma":[0.9926127,0.003928381,0.0006750522,0.0014963844,0.00061475567,0.0006727035],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013568818,0.0002609312,0.0005178751,0.001275402,0.008461614,0.013067022,0.0033124825,0.0043647396,0.0037909008],"category_scores_gemma":[0.015065602,0.00026340576,0.00055155053,0.0016247706,0.06995332,0.013304695,0.008656805,0.005464686,0.00020816237],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000002636948,0.0000065243808,0.00016613302,0.000007513363,0.0000014595173,0.00006198194,0.0049357507,0.00026127996,0.000037808524,0.9925339,0.0002277147,0.0017573009],"study_design_scores_gemma":[0.000008621019,0.000009735906,0.0005432913,0.00004560763,0.0000031709908,0.00007468028,0.008328719,0.0008980958,0.0001012223,0.9628967,0.027076682,0.000013337581],"about_ca_topic_score_codex":0.006619323,"about_ca_topic_score_gemma":0.006093431,"teacher_disagreement_score":0.013568818,"about_ca_system_score_codex":0.010210606,"about_ca_system_score_gemma":0.009515422,"threshold_uncertainty_score":0.07408345},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Impact","funders":"","keywords":"Index (typography); Class (philosophy); Closing (real estate); Identification (biology); Key (lock)","score_opus":0.05266071148753195,"score_gpt":0.3243487278549964,"score_spread":0.2716880163674645,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7116715003","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04036387,0.006749761,0.05329842,0.004169512,0.0016007711,0.00043665472,0.002844833,0.0009078673,0.88962835],"genre_scores_gemma":[0.59562814,0.012349324,0.08618724,0.0011395863,0.0007093852,0.0010732297,0.0032361601,0.0009631073,0.2987138],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99722004,0.0004867815,0.00020414006,0.00036249278,0.0014494575,0.00027709245],"domain_scores_gemma":[0.9967206,0.00078656833,0.0003068912,0.00043673307,0.0014287637,0.00032038914],"candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.001624848,0.000599232,0.0003278855,0.0026049663,0.0028577186,0.0062831547,0.00076645747,0.0010387716,0.049076427],"category_scores_gemma":[0.0060921926,0.00040967934,0.0005374879,0.0034482419,0.002527679,0.0030872298,0.0023773648,0.0017842886,0.014646455],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018027531,0.000092428316,0.0073114736,0.0008042502,0.00004248025,0.0005967755,0.008955173,0.0014139767,0.0058018398,0.6011577,0.05588007,0.31776357],"study_design_scores_gemma":[0.000018057655,0.000056045556,0.008584989,0.00034031752,0.000033851582,0.00059309736,0.0041072294,0.0005410492,0.0040042936,0.06368268,0.9179501,0.000088306246],"about_ca_topic_score_codex":0.014393149,"about_ca_topic_score_gemma":0.01736715,"teacher_disagreement_score":0.99739504,"about_ca_system_score_codex":0.0031958458,"about_ca_system_score_gemma":0.0073364377,"threshold_uncertainty_score":0.164177},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Impact","funders":"","keywords":"Index (typography); Class (philosophy); Closing (real estate); Identification (biology); Key (lock)","score_opus":0.05266071148753195,"score_gpt":0.3243487278549964,"score_spread":0.2716880163674645,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7116784611","genre_codex":"other","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04036387,0.006749761,0.05329842,0.004169512,0.0016007711,0.00043665472,0.002844833,0.0009078673,0.88962835],"genre_scores_gemma":[0.59562814,0.012349324,0.08618724,0.0011395863,0.0007093852,0.0010732297,0.0032361601,0.0009631073,0.2987138],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99722004,0.0004867815,0.00020414006,0.00036249278,0.0014494575,0.00027709245],"domain_scores_gemma":[0.9967206,0.00078656833,0.0003068912,0.00043673307,0.0014287637,0.00032038914],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001624848,0.000599232,0.0003278855,0.0026049663,0.0028577186,0.0062831547,0.00076645747,0.0010387716,0.049076427],"category_scores_gemma":[0.0060921926,0.00040967934,0.0005374879,0.0034482419,0.002527679,0.0030872298,0.0023773648,0.0017842886,0.014646455],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018027531,0.000092428316,0.0073114736,0.0008042502,0.00004248025,0.0005967755,0.008955173,0.0014139767,0.0058018398,0.6011577,0.05588007,0.31776357],"study_design_scores_gemma":[0.000018057655,0.000056045556,0.008584989,0.00034031752,0.000033851582,0.00059309736,0.0041072294,0.0005410492,0.0040042936,0.06368268,0.9179501,0.000088306246],"about_ca_topic_score_codex":0.014393149,"about_ca_topic_score_gemma":0.01736715,"teacher_disagreement_score":0.049076427,"about_ca_system_score_codex":0.0031958458,"about_ca_system_score_gemma":0.0073364377,"threshold_uncertainty_score":0.164177},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computable general equilibrium; Protectionism; Tariff; Trade war; China; General equilibrium theory; Welfare; Free trade; Trade barrier","score_opus":0.012963439845236593,"score_gpt":0.3166754716640053,"score_spread":0.3037120318187687,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7131873339","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92170066,0.0004966237,0.006516439,0.0012326543,0.00012391414,0.000061763305,0.0036272297,0.00022899143,0.066011645],"genre_scores_gemma":[0.99535346,0.00024828137,0.0015851147,0.000077461875,0.000007147984,0.00002753425,0.00082977006,0.000047520414,0.0018237653],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996669,0.00013736285,0.000007733549,0.00003520604,0.000040250565,0.000112474154],"domain_scores_gemma":[0.99925584,0.00042081389,0.00008152825,0.00007523,0.00010725162,0.00005945992],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008105889,0.0005630932,0.00047154888,0.00085710856,0.00044346802,0.001443861,0.00076305197,0.0006596089,0.0026657067],"category_scores_gemma":[0.0017495936,0.00025768141,0.0009852059,0.00165801,0.00065838115,0.0009896245,0.00080139295,0.0009915758,0.00023868526],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001759879,0.0000765728,0.017087152,0.000101892154,0.00008624842,0.00041774326,0.000068985646,0.9496743,0.00045421885,0.02109183,0.0041424125,0.0066226255],"study_design_scores_gemma":[0.00011245728,0.0005335799,0.025927033,0.00007534488,0.00018151355,0.00028501646,0.0009320889,0.9380786,0.0019028707,0.021963509,0.009901324,0.000106729305],"about_ca_topic_score_codex":0.043408822,"about_ca_topic_score_gemma":0.04294004,"teacher_disagreement_score":0.043408822,"about_ca_system_score_codex":0.0020355976,"about_ca_system_score_gemma":0.0011025224,"threshold_uncertainty_score":0.086312294},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Moncton","funders":"","keywords":"Meaning (existential); Pandemic; Perspective (graphical); Proposition; Identity (music)","score_opus":0.07895881949960842,"score_gpt":0.36835112649444823,"score_spread":0.2893923069948398,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7133406075","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.100119114,0.0052976734,0.0041855206,0.3531528,0.0049522356,0.000048952075,0.00014687913,0.00005350886,0.5320433],"genre_scores_gemma":[0.98326725,0.00081892556,0.0004366064,0.0061048483,0.00061521685,0.00004055304,0.000021356074,0.000037950173,0.008657265],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.99124324,0.0062045874,0.00017663302,0.00041228795,0.00063204253,0.0013312149],"domain_scores_gemma":[0.99329174,0.003889428,0.0006670606,0.00041740006,0.0007588943,0.0009754131],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009817087,0.0005308864,0.0004228538,0.0017839788,0.013233765,0.01906845,0.0016137449,0.007477119,0.0093996115],"category_scores_gemma":[0.02034615,0.0002852771,0.00040453972,0.0017893278,0.05697791,0.010122912,0.008789032,0.008796698,0.0005437567],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044494092,0.000014452144,0.00037204206,0.000037980408,0.0000043355644,0.00011744733,0.050893914,0.00021235265,0.000053950775,0.9397231,0.0057688933,0.002757183],"study_design_scores_gemma":[0.000043864595,0.00004485816,0.0014232713,0.00050487625,0.000015748137,0.00010682223,0.20107122,0.0003789023,0.00015564867,0.5511265,0.24507032,0.000057886584],"about_ca_topic_score_codex":0.010690963,"about_ca_topic_score_gemma":0.008733437,"teacher_disagreement_score":0.01906845,"about_ca_system_score_codex":0.0068052113,"about_ca_system_score_gemma":0.0072271614,"threshold_uncertainty_score":0.051918387},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"China; Power (physics); Beijing","score_opus":0.019905770326920938,"score_gpt":0.26946456776391475,"score_spread":0.24955879743699383,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7135841704","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.53728056,0.00071314606,0.0008737781,0.01577862,0.0010656492,0.000052791554,0.00029469602,0.00008386477,0.44385692],"genre_scores_gemma":[0.82840115,0.0002271459,0.00013081364,0.0027223348,0.00007091563,0.00003260553,0.00016261401,0.000032052765,0.16822039],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.999342,0.000059172013,0.000011091869,0.00007466502,0.00008657908,0.00042642263],"domain_scores_gemma":[0.9996706,0.000021504831,0.000019923116,0.000024636678,0.00004386345,0.000219497],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004127365,0.00022588772,0.00018321033,0.00047654766,0.0069734342,0.0035533414,0.0004174061,0.00093343924,0.03903358],"category_scores_gemma":[0.00081065914,0.00012929825,0.0002577028,0.00077013206,0.0024119113,0.002116533,0.0032164138,0.0019473861,0.0017702997],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042340538,0.00013331838,0.07973765,0.0001407681,0.00005933975,0.0027938173,0.07191696,0.0006443656,0.0031108372,0.6111718,0.13992786,0.08993994],"study_design_scores_gemma":[0.00005016736,0.00015674079,0.07857637,0.00014267465,0.000019572737,0.00032046862,0.06529596,0.00059415464,0.0008897543,0.016872732,0.83702797,0.00005348789],"about_ca_topic_score_codex":0.08038982,"about_ca_topic_score_gemma":0.16575052,"teacher_disagreement_score":0.08038982,"about_ca_system_score_codex":0.0040541687,"about_ca_system_score_gemma":0.0064002173,"threshold_uncertainty_score":0.1598438},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Legislation; Legislature; Consolidation (business); Consciousness; Human rights","score_opus":0.013092589154081876,"score_gpt":0.23252418413942455,"score_spread":0.21943159498534268,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7139503365","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08100503,0.023899548,0.0024234962,0.014682638,0.0022185242,0.00015824927,0.017831549,0.00057058065,0.8572104],"genre_scores_gemma":[0.45929754,0.026490767,0.00593206,0.0010504529,0.0005677696,0.00029126884,0.01667196,0.0003409024,0.48935726],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.999471,0.00009662356,0.000055851553,0.000077571414,0.0001823037,0.00011661207],"domain_scores_gemma":[0.9995067,0.000069523594,0.00008845751,0.00006436814,0.00021497933,0.000055997072],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009028234,0.00034196285,0.0003983327,0.0013331972,0.002323085,0.0019158152,0.00045087116,0.00077796774,0.024210088],"category_scores_gemma":[0.0014982119,0.00017806575,0.00015577947,0.0022893995,0.0009433366,0.0007596792,0.0012298538,0.0010150955,0.0053874436],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002079652,0.00006873226,0.014172248,0.00065419724,0.00002573324,0.00037271407,0.0045881923,0.0005219778,0.002206962,0.50826085,0.3022045,0.16671607],"study_design_scores_gemma":[0.000008186085,0.000015214442,0.04272238,0.00017716557,0.000013808956,0.00015251784,0.00086023926,0.00015639878,0.0006578508,0.004329754,0.95089465,0.000011876713],"about_ca_topic_score_codex":0.13624234,"about_ca_topic_score_gemma":0.061757296,"teacher_disagreement_score":0.86375767,"about_ca_system_score_codex":0.0028758093,"about_ca_system_score_gemma":0.013668428,"threshold_uncertainty_score":0.27089864},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"China; High tech; Chinese economy; World economy","score_opus":0.014388295549042873,"score_gpt":0.2633780972117816,"score_spread":0.24898980166273876,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7164919628","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3390224,0.0008251034,0.0032499053,0.032076012,0.00043093992,0.00005137085,0.0003349222,0.0001615695,0.6238477],"genre_scores_gemma":[0.9077633,0.00027806335,0.00030380476,0.002987992,0.00008416881,0.000026719075,0.000066623346,0.00005595031,0.08843344],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991235,0.00019293495,0.000016324495,0.000086113876,0.00019928561,0.00038180672],"domain_scores_gemma":[0.99912304,0.00017983885,0.000092183705,0.000087684246,0.00024136328,0.00027599902],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001214417,0.00020716719,0.00015869341,0.0008587697,0.0044023027,0.00698022,0.00047560758,0.0012936365,0.012349492],"category_scores_gemma":[0.0021708452,0.00016194695,0.00020983708,0.0017444721,0.0042757355,0.0027937428,0.0018814764,0.0018971801,0.0008208487],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000074971664,0.000052604373,0.032792702,0.00004233601,0.000039334842,0.00041995995,0.013716417,0.0011235651,0.0009111711,0.83922344,0.07973192,0.031871572],"study_design_scores_gemma":[0.000054177348,0.000109554865,0.10110747,0.00016152572,0.000104506275,0.0000916978,0.02059622,0.0046640704,0.0018738072,0.18088916,0.69021904,0.00012880213],"about_ca_topic_score_codex":0.14419532,"about_ca_topic_score_gemma":0.23244935,"teacher_disagreement_score":0.14419532,"about_ca_system_score_codex":0.0069528595,"about_ca_system_score_gemma":0.012784113,"threshold_uncertainty_score":0.286712},"labels":[],"label_agreement":null}]}