{"id":"W4214569281","doi":"10.31857/s2076673422010120","title":"БАЛАНС ЛЬДА В СЕВЕРНОМ ЛЕДОВИТОМ ОКЕАНЕ В 1979-2019 ГГ. (ПО ДАННЫМ МОДЕЛИРОВАНИЯ)","year":2022,"lang":"ru","type":"article","venue":"Journal Ice and Snow","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003128528,0.0001853132,0.0001757687,0.0006000936,0.0003509535,0.0006235642,0.0001844082,0.0001843993,0.005060541],"category_scores_gemma":[0.0007317157,0.0001105502,0.0002386534,0.0008913832,0.0003277505,0.0004049987,0.0002819534,0.000317613,0.001349654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007481598,"about_ca_system_score_gemma":0.001146949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03197753,"about_ca_topic_score_gemma":0.03041358,"domain_scores_codex":[0.9998585,0.00001506,0.000010048,0.00002449118,0.00006707796,0.00002477265],"domain_scores_gemma":[0.999846,0.00003425768,0.00002686415,0.00002171738,0.00005260142,0.00001866176],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009132542,0.0002638559,0.1082522,0.0007025014,0.0001706779,0.001435467,0.001373588,0.1609333,0.01805102,0.06237135,0.01747732,0.6280555],"study_design_scores_gemma":[0.0002143551,0.0007038658,0.3768733,0.0003485179,0.0002917656,0.001578641,0.001749856,0.1115836,0.03781529,0.03627875,0.432328,0.0002340825],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8738524,0.00907259,0.02534931,0.0006805539,0.0004176066,0.0001171795,0.007922477,0.0004078079,0.08217999],"genre_scores_gemma":[0.9749318,0.00296399,0.01177043,0.00001872861,0.00004007779,0.00007039253,0.002943059,0.00005377557,0.007207628],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03197753,"threshold_uncertainty_score":0.06358284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01004179649981348,"score_gpt":0.2070280128109347,"score_spread":0.1969862163111212,"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."}}