{"meta":{"query_hash":"9a45580f8c59","filters":{"venue":"Известия СПбЛТА"},"cohort_total":3,"direct_labels_cover":0,"predictions_cover":3,"exported":3,"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/9a45580f8c59","api":"https://metacan.xera.ac/api/v1/cohort?venue=%D0%98%D0%B7%D0%B2%D0%B5%D1%81%D1%82%D0%B8%D1%8F+%D0%A1%D0%9F%D0%B1%D0%9B%D0%A2%D0%90"},"results":[{"id":"W3086344478","doi":"10.21266/2079-4304.2018.225.90-105","title":"The results of 35-years lodgepole pine tests in the European North of Russia","year":2018,"lang":"ru","type":"article","venue":"Известия СПбЛТА","topic":"Forest Ecology and Biodiversity Studies","field":"Agricultural and Biological 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":"Scots pine; Pinus contorta; Forestry; Pinus <genus>; Geography; Biology; Environmental science; Botany","score_opus":0.021443957559580274,"score_gpt":0.2133166129037288,"score_spread":0.19187265534414852,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3086344478","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":[0.99811435,0.00019162208,0.00018019196,0.0000056130775,0.0000060146067,0.00001110509,0.0002775738,0.000009351674,0.0012041656],"genre_scores_gemma":[0.9977189,0.00009426116,0.00019850275,0.0000119973165,0.0000026010655,0.000011030492,0.0006723249,0.0000051026004,0.0012852047],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99958855,0.00005322776,0.000035458273,0.00014611518,0.000104225226,0.00007235393],"domain_scores_gemma":[0.9995234,0.00006353162,0.00009879048,0.000037007976,0.0001949922,0.000082390274],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051659124,0.0002626427,0.00049639685,0.00065410347,0.00067103957,0.00057728234,0.00025844242,0.00031930557,0.00044055778],"category_scores_gemma":[0.00027119752,0.00012726322,0.00054331997,0.00051029975,0.0003071952,0.0002811894,0.00037167323,0.00025413337,0.0002220826],"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":[0.0018527256,0.0006522524,0.7248861,0.0002123629,0.00034939236,0.00061980676,0.002765378,0.0036802622,0.23948592,0.00030542162,0.0004883971,0.02470196],"study_design_scores_gemma":[0.0000059849467,0.00054658455,0.9888882,0.000005955874,0.000061734245,0.000056987465,0.0005985604,0.00024327118,0.008370802,0.000041091298,0.0011667088,0.000014007528],"about_ca_topic_score_codex":0.019713856,"about_ca_topic_score_gemma":0.032938626,"teacher_disagreement_score":0.019713856,"about_ca_system_score_codex":0.0008417732,"about_ca_system_score_gemma":0.0004612267,"threshold_uncertainty_score":0.03919822},"labels":[],"label_agreement":null},{"id":"W4409079116","doi":"10.21266/2079-4304.2025.252.6-21","title":"Подбор основных древесных видов для создания объектов постоянной лесосеменной базы в засушливой зоне","year":2025,"lang":"ru","type":"article","venue":"Известия СПбЛТА","topic":"Botanical Studies and Applications","field":"Agricultural and Biological 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":0.01465483568927195,"score_gpt":0.24622839067914232,"score_spread":0.23157355498987037,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409079116","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":[0.124246314,0.050419994,0.15238369,0.009162302,0.0030457429,0.00032419025,0.0023425738,0.0010426359,0.65703255],"genre_scores_gemma":[0.7061449,0.032272037,0.103954844,0.0009218506,0.00091986684,0.0005336957,0.001557538,0.00079346274,0.1529017],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99798226,0.00033189953,0.00011103732,0.00046349832,0.0009200758,0.0001912475],"domain_scores_gemma":[0.99790996,0.0004271297,0.0002546197,0.0003793435,0.00083923433,0.00018971995],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012784896,0.00054940087,0.0005677414,0.0027762556,0.002419972,0.0059965965,0.00084779755,0.0015727773,0.032811858],"category_scores_gemma":[0.003536506,0.0008007983,0.00068035856,0.0022081167,0.0026293532,0.0032808993,0.0019743256,0.001819549,0.011083617],"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":[0.00034977015,0.0001464606,0.006922055,0.0013877435,0.00010051462,0.0016573506,0.003952825,0.0031826547,0.07488443,0.40073898,0.019388411,0.48728883],"study_design_scores_gemma":[0.000040417897,0.000107167834,0.008793647,0.0004465278,0.00010782486,0.0017934085,0.0028112645,0.002161077,0.03132032,0.09789501,0.85437834,0.00014502669],"about_ca_topic_score_codex":0.0055546006,"about_ca_topic_score_gemma":0.0074669626,"teacher_disagreement_score":0.032811858,"about_ca_system_score_codex":0.0021319024,"about_ca_system_score_gemma":0.0035163404,"threshold_uncertainty_score":0.1097666},"labels":[],"label_agreement":null},{"id":"W7138945364","doi":"10.21266/2079-4304.2025.256.468-479","title":"Математическая модель оптимизации проектирования сети лесных автомобильных дорог с использованием данных дистанционного зондирования","year":2025,"lang":"ru","type":"article","venue":"Известия СПбЛТА","topic":"Geodetic Measurements and Engineering Structures","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"U.S. Forest Service; Lakehead University; U.S. Department of Agriculture","keywords":"Identification (biology); Field (mathematics); Process (computing)","score_opus":0.005050296406964689,"score_gpt":0.1996409222770434,"score_spread":0.1945906258700787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7138945364","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":[0.023634456,0.012429648,0.09454792,0.020383134,0.0018197078,0.00025927063,0.0008981264,0.0005854925,0.8454423],"genre_scores_gemma":[0.56669873,0.021399623,0.10487471,0.004240513,0.0013832019,0.0010139903,0.0012700754,0.0008734151,0.29824582],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99357706,0.0016373137,0.0003363799,0.0011210963,0.0027445287,0.00058362016],"domain_scores_gemma":[0.9953662,0.001112488,0.00047770553,0.0009276916,0.0016600955,0.00045575981],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034619544,0.0009693164,0.00079257984,0.0030155974,0.004003682,0.014296017,0.0015473135,0.0031187185,0.041395113],"category_scores_gemma":[0.008358805,0.0008742156,0.0012195655,0.0026041253,0.00789536,0.006992023,0.004855042,0.004119173,0.015092079],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058600002,0.000056431763,0.0018055978,0.00036027798,0.000050156425,0.00038529118,0.0028387436,0.0013726103,0.0025802944,0.907395,0.01584988,0.067247055],"study_design_scores_gemma":[0.000031946594,0.000053402604,0.0032982796,0.0004948115,0.00006287224,0.00059338997,0.0037802395,0.00195271,0.0030041991,0.3358479,0.6507759,0.00010440049],"about_ca_topic_score_codex":0.008860168,"about_ca_topic_score_gemma":0.0066289594,"teacher_disagreement_score":0.041395113,"about_ca_system_score_codex":0.005345933,"about_ca_system_score_gemma":0.01020745,"threshold_uncertainty_score":0.13848042},"labels":[],"label_agreement":null}]}