{"id":"W287806805","doi":"","title":"Озоновый слой и погодные аномалии лета 2014 г. в России: жара в Архангельске и снегопад в Твери, аномальный холод в Челябинске и рекорды жары в Сибири и Калмыкии","year":2014,"lang":"ru","type":"article","venue":"Пространство и Время","topic":"Arctic and Russian Policy Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Anticyclone; Anomaly (physics); Ozone layer; Atmosphere (unit); Climatology; Environmental science; Ozone; Atmospheric sciences; Geology; Meteorology; Geography; Stratosphere; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"category_scores_codex":[0.005341224,0.00266953,0.003328124,0.0008908992,0.005973094,0.0009649728,0.003784992,0.002116371,0.007325096],"category_scores_gemma":[0.0030998,0.002482245,0.001793245,0.002412335,0.004721122,0.001534429,0.001793323,0.002627366,0.01974957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001094043,"about_ca_system_score_gemma":0.001606155,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03110889,"about_ca_topic_score_gemma":0.01231164,"domain_scores_codex":[0.9812827,0.002780347,0.003151585,0.003569846,0.003477914,0.005737617],"domain_scores_gemma":[0.9894755,0.002354768,0.001941132,0.003082742,0.0006801815,0.002465703],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003632682,0.001106284,0.01597939,0.0005369932,0.001214889,0.0001197325,0.03342946,0.00003705741,0.0002837796,0.1275469,0.765942,0.0534403],"study_design_scores_gemma":[0.002938779,0.0008679962,0.01143138,0.000586542,0.0007738327,0.00004721035,0.01201838,0.0004613355,0.000419185,0.01945478,0.9476508,0.003349736],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03439531,0.01170103,0.002726534,0.1174009,0.01360315,0.004138248,0.0006092512,0.001996927,0.8134286],"genre_scores_gemma":[0.8554432,0.008677919,0.00176358,0.007880785,0.01205484,0.0003500782,0.0001190891,0.000465847,0.1132447],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8210478,"threshold_uncertainty_score":0.9996736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02111046734448102,"score_gpt":0.3141344544583793,"score_spread":0.2930239871138983,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}