{"meta":{"query_hash":"b33ad0c1ba03","filters":{"venue":"Socialʹnoe vremâ."},"cohort_total":2,"direct_labels_cover":0,"predictions_cover":2,"exported":2,"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/b33ad0c1ba03","api":"https://metacan.xera.ac/api/v1/cohort?venue=Social%CA%B9noe+vrem%C3%A2."},"results":[{"id":"W4400886062","doi":"10.25686/2410-0773.2019.2.114","title":"«ШКОЛЬНЫЕ СТРЕЛКИ» И ИХ МОТИВАЦИЯ: «СИНДРОМ КРЫСОЛОВА», «СИНДРОМ ГЕРОСТРАТА», «СИНДРОМ НИБЕЛУНГОВ»?","year":2019,"lang":"en","type":"article","venue":"Socialʹnoe vremâ.","topic":"Gun Ownership and Violence Research","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":"Computer science","score_opus":0.028046448695959878,"score_gpt":0.3868156606524934,"score_spread":0.3587692119565335,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400886062","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":[0.058832657,0.2526632,0.037677232,0.047992796,0.009913933,0.0003334621,0.00056814065,0.0003093889,0.5917092],"genre_scores_gemma":[0.68499804,0.16428804,0.036974266,0.0053481967,0.0039282176,0.00054355775,0.00038475814,0.00017311807,0.103361815],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9985512,0.00032654442,0.0001051723,0.00017338493,0.0006899503,0.00015368205],"domain_scores_gemma":[0.99873656,0.00046944866,0.00029686667,0.000120768644,0.00026457332,0.000111882495],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012874716,0.00037522946,0.00041130805,0.0015314551,0.0012442797,0.003159112,0.00059810816,0.001239947,0.015352376],"category_scores_gemma":[0.0030036375,0.00025867787,0.0002822794,0.002075566,0.0035541486,0.0015938476,0.0010116537,0.0015609158,0.0036872134],"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":[0.00012243321,0.00014641494,0.007970453,0.0010735452,0.000036118545,0.0012292039,0.0025351003,0.00044395248,0.003523969,0.44821844,0.036463946,0.4982364],"study_design_scores_gemma":[0.000021899617,0.000093938484,0.007109847,0.000649566,0.000034703553,0.002276909,0.0018690944,0.0003691929,0.0021305743,0.05902135,0.9263554,0.00006741042],"about_ca_topic_score_codex":0.004851921,"about_ca_topic_score_gemma":0.0045754774,"teacher_disagreement_score":0.015352376,"about_ca_system_score_codex":0.001746152,"about_ca_system_score_gemma":0.0030308578,"threshold_uncertainty_score":0.05135876},"labels":[],"label_agreement":null},{"id":"W4400892622","doi":"10.25686/2410-0773.2020.3.102","title":"RUSSIA AND DZUNGARIA UNDER GOLDAN-TSEREN: RUSSIAN-DZUNGARIAN RELATIONS IN THE SECOND QUARTER OF THE XVIII CENTURY","year":2021,"lang":"ru","type":"article","venue":"Socialʹnoe vremâ.","topic":"Eurasian Exchange Networks","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":"Quarter (Canadian coin); Ancient history; Economic history; Political science; History; Archaeology","score_opus":0.015816534113401393,"score_gpt":0.2643654261050946,"score_spread":0.24854889199169322,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400892622","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":[0.7307681,0.022704855,0.00037869965,0.0046016667,0.00017887748,0.000020318254,0.00025492397,0.000016586217,0.24107601],"genre_scores_gemma":[0.9792702,0.0019190355,0.00009092612,0.00012434045,0.000014464248,0.000008068898,0.00004901309,0.0000044719186,0.01851949],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99963725,0.000085118176,0.000013651846,0.000045293826,0.000043508535,0.00017508926],"domain_scores_gemma":[0.9999299,0.000015333117,0.000023434657,0.0000053287868,0.00000885829,0.000017078075],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034376816,0.0002934352,0.00021563297,0.0009828598,0.0053679044,0.0044752834,0.0002731557,0.0009840258,0.0047667185],"category_scores_gemma":[0.00044062387,0.00021172622,0.00018318834,0.0014990838,0.004093381,0.0013957634,0.0023507657,0.0013261813,0.0003811587],"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":[0.00016844952,0.000027450784,0.0098332185,0.000158772,0.000018707244,0.0008113427,0.08001589,0.0003011468,0.0013142235,0.88610375,0.002577279,0.01866963],"study_design_scores_gemma":[0.000083935716,0.0001330894,0.13428676,0.0005754418,0.000064655214,0.0010600082,0.09848992,0.0004104954,0.0027164728,0.06273418,0.69938236,0.00006270286],"about_ca_topic_score_codex":0.041920017,"about_ca_topic_score_gemma":0.07771929,"teacher_disagreement_score":0.041920017,"about_ca_system_score_codex":0.009716934,"about_ca_system_score_gemma":0.0029512264,"threshold_uncertainty_score":0.08335203},"labels":[],"label_agreement":null}]}