{"id":"W4252071639","doi":"10.5376/mpb.cn.2011.09.0107","title":"山东省12份水稻种质的DNA指纹数据库构建","year":2011,"lang":"zh","type":"article","venue":"分子植物育种","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computational biology; Biology","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":[0.0004641495,0.0002363279,0.0002516485,0.000572515,0.001738733,0.001868287,0.0003848934,0.0009027107,0.01380388],"category_scores_gemma":[0.001147304,0.0002311042,0.0002400139,0.0007378595,0.002527532,0.001641315,0.0006468287,0.0009911096,0.003407054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001891706,"about_ca_system_score_gemma":0.001691226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003290758,"about_ca_topic_score_gemma":0.002701581,"domain_scores_codex":[0.9996322,0.00007618011,0.00001292344,0.0001161934,0.0001062388,0.00005617158],"domain_scores_gemma":[0.9995368,0.0001105522,0.00005630383,0.00004161074,0.0001979949,0.0000566915],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000157698,0.00008014392,0.003697167,0.0004187428,0.00004995622,0.00032521,0.003757716,0.001710053,0.04863321,0.8122271,0.008324921,0.120618],"study_design_scores_gemma":[0.00003381778,0.0003589214,0.006519008,0.0002074912,0.00009176265,0.0006282308,0.00534301,0.001402711,0.08934895,0.3438953,0.5520637,0.0001071025],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2708323,0.0103799,0.0875963,0.01473697,0.002883625,0.0001741401,0.001028485,0.0002576344,0.6121107],"genre_scores_gemma":[0.7075741,0.004332662,0.02761928,0.001811997,0.0003039422,0.0001524688,0.000353221,0.00006957357,0.2577827],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01380388,"threshold_uncertainty_score":0.04617852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02228714868045408,"score_gpt":0.1929398378866163,"score_spread":0.1706526892061622,"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."}}