{"id":"W4392008512","doi":"10.52167/1609-1817-2023-128-5-504-513","title":"ГИДРОХИМИЧЕСКИЕ ХАРАКТЕРИСТИКИ И ОЦЕНКА КАЧЕСТВА ПОВЕРХНОСТНЫХ ВОД С ИСПОЛЬЗОВАНИЕМ ИНДЕКСА КАЧЕСТВА ВОДЫ","year":2023,"lang":"ru","type":"article","venue":"Вестник КазАТК","topic":"Water Resources and Management","field":"Environmental Science","cited_by":0,"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.001827746,0.001469847,0.001225426,0.000602299,0.001198982,0.000792923,0.002670596,0.0006588383,0.02070175],"category_scores_gemma":[0.0001304687,0.001430705,0.0008266739,0.002667853,0.0009186298,0.0008887565,0.003876059,0.001105781,0.1125004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007846536,"about_ca_system_score_gemma":0.00007409154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003377128,"about_ca_topic_score_gemma":0.0006923074,"domain_scores_codex":[0.9894684,0.0004375821,0.001639717,0.002547521,0.002460157,0.003446651],"domain_scores_gemma":[0.9952973,0.0002280514,0.0006135916,0.002584929,0.00005160586,0.001224544],"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":[0.0003355922,0.001501232,0.03112977,0.0008944952,0.0008668451,0.002127945,0.01034941,0.01187014,0.01326826,0.003066753,0.7795161,0.1450735],"study_design_scores_gemma":[0.002083975,0.0005332993,0.07773566,0.0002761117,0.0003312316,0.00004691858,0.002222276,0.008603623,0.003281927,0.001562902,0.9012174,0.002104685],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.800473,0.001626335,0.0004961189,0.01397228,0.00569834,0.003276536,0.0004455059,0.002092961,0.171919],"genre_scores_gemma":[0.8427624,0.001999088,0.0004353254,0.002967261,0.001302616,0.0002411277,0.0002686116,0.0003383833,0.1496852],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1429688,"threshold_uncertainty_score":0.9998051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01514896622551861,"score_gpt":0.2124175605331382,"score_spread":0.1972685943076196,"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."}}