{"id":"W979038292","doi":"","title":"抗条锈、抗穗发芽六倍体人工合成小麦Cereta/Aegilops tauschii783的SSR标记分析","year":2005,"lang":"zh","type":"article","venue":"分子植物育种","topic":"Phytase and its Applications","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Linguistics; Philosophy","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002924409,0.0003354464,0.0003230086,0.00002479948,0.0005680617,0.0001762539,0.0006130359,0.0002431505,0.006109062],"category_scores_gemma":[0.00003571978,0.000154432,0.0002342631,0.0006106577,0.000168068,0.0003237439,0.0001724329,0.0003266914,0.007494747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006293357,"about_ca_system_score_gemma":0.0000321621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002475654,"about_ca_topic_score_gemma":0.0005677957,"domain_scores_codex":[0.9977746,0.0001060252,0.000446857,0.0006356482,0.0003422678,0.0006946179],"domain_scores_gemma":[0.9990098,0.00013094,0.000170709,0.0002495627,0.00009644929,0.0003425336],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002441231,0.000844774,0.003036737,0.00002266025,0.00008819592,0.000007956311,0.0003037671,0.00002273056,0.05507693,0.0563721,0.1444158,0.7397839],"study_design_scores_gemma":[0.0002521795,0.000166783,0.05661769,0.00003598027,0.00006114036,0.00001365487,0.0002391212,0.0001370437,0.001975424,0.00529283,0.9346948,0.0005133394],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4097453,0.006561624,0.00003578453,0.05317119,0.0006273479,0.0008114732,0.0005816804,0.0003247339,0.5281409],"genre_scores_gemma":[0.9799037,0.0007653276,0.0002756171,0.002343213,0.004157996,0.00004937856,0.0001608548,0.000004648396,0.01233926],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.790279,"threshold_uncertainty_score":0.9947995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02396280245488963,"score_gpt":0.2350515770987226,"score_spread":0.211088774643833,"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."}}