{"id":"W4304183657","doi":"10.24852/2411-7374.2022.3.35.43","title":"ОЦЕНКА ФЕРМЕНТАТИВНОЙ АКТИВНОСТИ СЕРЫХ ЛЕСНЫХ ПОЧВ В ОРГАНИЧЕСКИХ И ТРАДИЦИОННЫХ АГРОЦЕНОЗАХ ПРЕДКАМЬЯ РЕСПУБЛИКИ ТАТАРСТАН","year":2022,"lang":"ru","type":"article","venue":"Российский журнал прикладной экологии","topic":"Agricultural Productivity and Crop Improvement","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Environmental chemistry; Soil water; Environmental science; Chemistry; Soil 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","sts","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.002721266,0.002477191,0.002296047,0.0002734918,0.006792513,0.00113979,0.004161775,0.0008935148,0.03153399],"category_scores_gemma":[0.0003538675,0.001375457,0.001753005,0.00404419,0.001080189,0.001621279,0.004548954,0.003739904,0.003408736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001354861,"about_ca_system_score_gemma":0.000356645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004192457,"about_ca_topic_score_gemma":0.001101509,"domain_scores_codex":[0.9832253,0.001829919,0.002591768,0.004326474,0.003781679,0.00424484],"domain_scores_gemma":[0.9942022,0.0006150458,0.001635803,0.0013987,0.000603675,0.001544567],"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":[0.001606164,0.009085915,0.009552358,0.0006433976,0.001494636,0.0008229135,0.005021138,0.002075934,0.3261012,0.009743723,0.3892765,0.2445761],"study_design_scores_gemma":[0.00273539,0.005218637,0.04745674,0.0002223458,0.000678658,0.0005188207,0.01389943,0.0005572418,0.0155396,0.003225591,0.9048722,0.00507537],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9156809,0.009301809,0.00003979131,0.03793626,0.009088698,0.004148821,0.002237245,0.001260519,0.02030597],"genre_scores_gemma":[0.924836,0.0009639924,0.0002129635,0.004814165,0.006432229,0.0007076018,0.001334979,0.00006897411,0.06062908],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5155957,"threshold_uncertainty_score":0.9998971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01764344096130925,"score_gpt":0.1890708985282076,"score_spread":0.1714274575668984,"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."}}