{"id":"W4389955731","doi":"10.1088/1755-1315/1284/1/012022","title":"Assessment of soybean raw material in regard to plant adaptability in the climatic conditions of the Middle Volga Region","year":2023,"lang":"en","type":"article","venue":"IOP Conference Series Earth and Environmental Science","topic":"Agricultural Productivity and Crop Improvement","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Adaptability; Humus; Chernozem; Productivity; Agronomy; Steppe; Raw material; Geography; Forest steppe; Environmental science; Soil water; Biology; Ecology","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":[],"consensus_categories":[],"category_scores_codex":[0.0004963807,0.00007957287,0.0001181018,0.00001332242,0.0001803624,0.00003782504,0.0003180396,0.00002405745,0.00006012364],"category_scores_gemma":[0.00002573766,0.00002581365,0.00002393225,0.0004374042,0.0006878714,0.000214262,0.0001894738,0.0000693953,0.00000181315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001897677,"about_ca_system_score_gemma":0.00001395206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003629406,"about_ca_topic_score_gemma":0.002009325,"domain_scores_codex":[0.9989886,0.0000810122,0.0001969068,0.0002264595,0.0003029318,0.0002041179],"domain_scores_gemma":[0.9997465,0.00004299335,0.00007367985,0.0000905263,0.000007067559,0.00003925861],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00001854592,0.00008055934,0.02934154,0.00001262513,9.706057e-7,0.000001095261,0.000802096,0.00003544114,0.9669524,0.0008714822,0.0000102728,0.001872965],"study_design_scores_gemma":[0.00005384206,0.0002036786,0.9441512,0.00002982238,0.00000185964,0.000003933188,0.00677498,0.00007315772,0.048292,0.0002632357,0.00009306901,0.00005920449],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975511,0.000003425262,3.452831e-7,0.001756639,0.00006108399,0.0003671351,0.00007980441,0.000004865757,0.0001755941],"genre_scores_gemma":[0.9997951,0.00002749103,0.00001413293,0.00005026014,0.00001261068,0.00002008591,0.00001929004,2.703556e-7,0.00006078454],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9186604,"threshold_uncertainty_score":0.2534491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03547489358506514,"score_gpt":0.2149122428810523,"score_spread":0.1794373492959871,"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."}}