{"id":"W956548853","doi":"","title":"Building a Better Bean： Prospects for the Next Generation of Transgenic Soybeans","year":2007,"lang":"zh","type":"article","venue":"分子植物育种","topic":"Genetically Modified Organisms Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Genetically modified crops; Biotechnology; Transgene; Biology; Genetics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001358291,0.0001948849,0.0002181012,0.00002477473,0.0004106594,0.0001391849,0.0005313186,0.0002008265,0.0003989055],"category_scores_gemma":[0.0001232213,0.00007515222,0.000219131,0.000396036,0.0002277891,0.00008833106,0.00007511078,0.0002096792,0.00002562803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004169814,"about_ca_system_score_gemma":0.00003173035,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002253641,"about_ca_topic_score_gemma":0.0009686348,"domain_scores_codex":[0.9979345,0.0000789968,0.0004274002,0.0004108977,0.0004813551,0.000666825],"domain_scores_gemma":[0.9988066,0.0006084672,0.00009969107,0.0001531407,0.0001972178,0.00013489],"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":[0.00002925534,0.0000709649,0.0003816029,0.00002621983,0.00003423564,9.647287e-7,0.0002036521,0.00001363285,0.8275898,0.004477714,0.0003744718,0.1667975],"study_design_scores_gemma":[0.0008164335,0.001434636,0.1307793,0.00005392093,0.0001532775,0.000007728318,0.0005993993,0.002892049,0.8460503,0.007358732,0.009341701,0.0005125162],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9742072,0.001425091,0.01284897,0.008645492,0.0003524336,0.0014717,0.00005211421,0.00002545239,0.0009715196],"genre_scores_gemma":[0.994177,0.000101849,0.003175766,0.0002620608,0.001615199,0.00002939005,0.00001287898,0.000005233299,0.0006205874],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.166285,"threshold_uncertainty_score":0.4367736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1246721346978502,"score_gpt":0.3035240484834925,"score_spread":0.1788519137856424,"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."}}