{"id":"W4322097906","doi":"10.37128/2707-5826-2022-3-10","title":"SELECTION OF ADAPTIVE SOYBEAN VARIETIES IN CULTIVATION TECHNOLOGY UNDER CONDITIONS OF CLIMATE CHANGE","year":2022,"lang":"en","type":"article","venue":"Agriculture and Forestry","topic":"Agriculture and Biological Studies","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Selection (genetic algorithm); Resistance (ecology); Variety (cybernetics); Agronomy; Biology; Mathematics; Ecology; 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":[],"consensus_categories":[],"category_scores_codex":[0.00008176639,0.0001134941,0.000208758,0.00002227581,0.0002434715,0.000004751362,0.00009377513,0.0001249642,0.00007097294],"category_scores_gemma":[0.000009157106,0.00003767957,0.00005181663,0.0007364674,0.0001073138,0.00007420609,0.0001399688,0.0001784371,5.496478e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001916408,"about_ca_system_score_gemma":0.000002117084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001671485,"about_ca_topic_score_gemma":0.0006192848,"domain_scores_codex":[0.9992558,0.00004813564,0.0002115958,0.0001895741,0.0001216406,0.0001732941],"domain_scores_gemma":[0.9996682,0.00006303862,0.0001558416,0.00001968518,0.00007133184,0.00002184966],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001234267,0.000560366,0.6104029,0.00002999283,0.00006772364,0.000003498302,0.0005831684,0.0000328849,0.3031921,0.07063752,0.0008790514,0.01348734],"study_design_scores_gemma":[0.0001337797,0.0007421725,0.9799118,0.00001585099,0.00001765357,0.00001304129,0.008470578,0.000007189364,0.00366183,0.005948007,0.0009542123,0.0001238992],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974959,0.0005262766,0.00000159652,0.001027977,0.00003228383,0.0002374703,0.00009719161,0.00002943205,0.0005519066],"genre_scores_gemma":[0.9991602,0.0003847334,0.00002351828,0.00008094185,0.00006820042,0.0001099736,0.0001353415,4.394938e-7,0.00003670339],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3695088,"threshold_uncertainty_score":0.187261,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02011117373342307,"score_gpt":0.2128342708212543,"score_spread":0.1927230970878312,"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."}}