{"id":"W4413065409","doi":"10.28983/asj.y2025i7pp35-41","title":"Parameters of adaptability and productivity of spring barley varieties of different ecological and geographical origin in the forest-steppe agro-climatic zone of the Ryazan region","year":2025,"lang":"en","type":"article","venue":"The Agrarian Scientific Journal","topic":"Agricultural Productivity and Crop Improvement","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Adaptability; Steppe; Productivity; Forest steppe; Yield (engineering); Geography; Crop; Agronomy; Spring (device); 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":[0.002462157,0.0001175528,0.0002954236,0.00002889693,0.0003299357,0.00007013758,0.0004766834,0.00005724158,0.000006548572],"category_scores_gemma":[0.0002354277,0.00002791502,0.0001237705,0.0006515334,0.001575093,0.0001208132,0.0002245163,0.0002874804,3.670717e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000123576,"about_ca_system_score_gemma":0.00001777237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002984956,"about_ca_topic_score_gemma":0.001018324,"domain_scores_codex":[0.9981822,0.0005508136,0.0004758048,0.0002413136,0.0003609695,0.0001889264],"domain_scores_gemma":[0.9989358,0.0003440124,0.0004036098,0.0001776762,0.000107021,0.00003187933],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001802405,0.00116364,0.7550729,0.0001574152,0.00007299236,8.058306e-7,0.002071863,0.0000544871,0.2123183,0.008137126,0.00008896864,0.02068131],"study_design_scores_gemma":[0.0001404025,0.0002181236,0.9800995,0.00005980749,0.00004471267,0.00001427795,0.002194785,0.00004154917,0.006200809,0.01090315,0.00003074177,0.0000521464],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939998,0.0001837202,0.00001882171,0.005134498,0.0001857831,0.000443618,0.000007045499,0.000002528313,0.00002421385],"genre_scores_gemma":[0.9998662,0.00003194184,0.0000331655,0.000008999507,0.00001860057,0.000004730449,8.633427e-7,3.096704e-7,0.00003513226],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2250266,"threshold_uncertainty_score":0.5803497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02209686556582667,"score_gpt":0.2088194534450443,"score_spread":0.1867225878792176,"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."}}