{"id":"W152298532","doi":"","title":"目标起始密码子多态性(SCoT):一种基于翻译起始位点的目的基因标记新技术","year":2009,"lang":"zh","type":"article","venue":"分子植物育种","topic":"14-3-3 protein interactions","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002483727,0.000436722,0.0003246186,0.0001057555,0.000229854,0.0001329362,0.0005083607,0.0005212195,0.000639541],"category_scores_gemma":[0.000213181,0.0004677397,0.0003358762,0.0002222792,0.0001256083,0.00001506849,0.0001516843,0.0004255967,0.001237838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007135593,"about_ca_system_score_gemma":0.0001938898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005878691,"about_ca_topic_score_gemma":0.00004877455,"domain_scores_codex":[0.9975784,0.0001619403,0.0004825148,0.0008042431,0.0002742382,0.0006986946],"domain_scores_gemma":[0.9982193,0.00002211129,0.0002033534,0.001093892,0.0001978933,0.0002634342],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001414959,0.000498968,0.0005339546,0.00004295084,0.0002338119,0.00005919074,0.0001623543,0.00004968899,0.8206582,0.004011007,0.1044875,0.06912085],"study_design_scores_gemma":[0.001191607,0.001443057,0.005978968,0.0001340616,0.0001303889,0.0001545709,0.0001291713,0.0000432845,0.1978077,0.004880371,0.7871267,0.0009800402],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1232804,0.02347197,0.006377539,0.01265358,0.0045384,0.00163508,0.0003477843,0.0002146167,0.8274806],"genre_scores_gemma":[0.9679098,0.0008274433,0.001616224,0.002032478,0.002003358,0.00002931918,0.0002401114,0.00005570834,0.02528555],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8446293,"threshold_uncertainty_score":0.9997774,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00745231775400931,"score_gpt":0.2726054129621628,"score_spread":0.2651530952081535,"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."}}