{"id":"W2353123460","doi":"","title":"Breeding of A New Soybean Variety Guichundou 103","year":2011,"lang":"en","type":"article","venue":"Seed","topic":"Soybean genetics and cultivation","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Variety (cybernetics); New Variety; Biology; Agronomy; Mathematics; Cultivar; Statistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002104696,0.000344809,0.0004099651,0.0007225203,0.0004779165,0.000232935,0.0004212357,0.0003838695,0.001955183],"category_scores_gemma":[0.0001329533,0.0002363027,0.0004288901,0.0004025453,0.0001780116,0.0001428013,0.0003914616,0.000519869,0.000316392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003866481,"about_ca_system_score_gemma":0.0003043039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003647222,"about_ca_topic_score_gemma":0.008379704,"domain_scores_codex":[0.9998629,0.00001718753,0.00001137634,0.00005120757,0.00003336576,0.00002392507],"domain_scores_gemma":[0.9998729,0.00002891185,0.00001270621,0.00001327,0.00001376374,0.00005846874],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001126277,0.00005872557,0.0009754525,0.00001984777,0.000008963905,0.0003166386,0.00006520935,0.00008037603,0.9944674,0.0001643472,0.00004195271,0.003688451],"study_design_scores_gemma":[0.001082488,0.00365318,0.2812976,0.00003832654,0.0005084722,0.005464272,0.0006173006,0.008336264,0.6655714,0.0003755743,0.0329395,0.0001155186],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926752,0.0001291539,0.004602369,0.00006974823,0.00002195341,0.00008476285,0.0003899805,0.0001776764,0.001849017],"genre_scores_gemma":[0.9737443,0.0002054884,0.01397017,0.0001447004,0.00001344267,0.00008688473,0.003351624,0.0001386612,0.008344601],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003647222,"threshold_uncertainty_score":0.007251978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05557366679456668,"score_gpt":0.2149098315284188,"score_spread":0.1593361647338521,"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."}}