{"id":"W4226205017","doi":"10.24852/2411-7374.2022.1.39.47","title":"ОСОБЕННОСТИ И РАЗЛИЧИЯ АБИОТИЧЕСКИХ КОМПОНЕНТОВ ЭКОСИСТЕМ ОЗЕР И ВОДОХРАНИЛИЩ (ОБЗОР)","year":2022,"lang":"ru","type":"article","venue":"Российский журнал прикладной экологии","topic":"Aquatic and Environmental Studies","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Limnology; Temperate climate; Phytoplankton; Hydrology (agriculture); Hydrobiology; Oceanography; Geography; Physical geography; Ecology; Geology; Aquatic environment; Biology; Nutrient","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","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.001844461,0.001582536,0.00164365,0.0004637344,0.004933165,0.0003713106,0.00224299,0.0004259297,0.1669643],"category_scores_gemma":[0.0001700024,0.001576707,0.000857666,0.001538946,0.001196713,0.0007560447,0.001413543,0.002068166,0.01423067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003868902,"about_ca_system_score_gemma":0.0003506428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004704689,"about_ca_topic_score_gemma":0.001118751,"domain_scores_codex":[0.9890292,0.0009580874,0.001789932,0.002335755,0.002956804,0.002930171],"domain_scores_gemma":[0.9956653,0.0006945704,0.000851362,0.001649261,0.00006282526,0.001076749],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009564673,0.001706018,0.3598759,0.0004644553,0.001476584,0.001210225,0.009821089,0.02289568,0.0002126909,0.001026775,0.3381892,0.262165],"study_design_scores_gemma":[0.00291014,0.002402862,0.1945563,0.000130613,0.0006073582,0.0003783812,0.0145551,0.01152576,0.0002348327,0.002238678,0.767323,0.003137018],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6072919,0.0584931,0.0007723123,0.01044178,0.01255721,0.003635001,0.005265179,0.0008552345,0.3006883],"genre_scores_gemma":[0.9391333,0.002697136,0.0008646962,0.004491415,0.001418332,0.0001320454,0.001140166,0.0001276914,0.04999525],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4291337,"threshold_uncertainty_score":0.9996923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01462882733242432,"score_gpt":0.1679227637625879,"score_spread":0.1532939364301636,"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."}}