{"id":"W3110599928","doi":"","title":"水稻赤霉素3β羟化酶基因(OsGA3ox1)同源基因的生物信息学分析","year":2019,"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":"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001963597,0.000362917,0.00011711,0.0002503046,0.0005828911,0.0009029231,0.0003146098,0.000332205,0.00374588],"category_scores_gemma":[0.0001350957,0.000187013,0.000227531,0.0002464548,0.000545122,0.000525405,0.0002999073,0.0004188191,0.0007311201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008628807,"about_ca_system_score_gemma":0.0006370513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003581574,"about_ca_topic_score_gemma":0.004091523,"domain_scores_codex":[0.9999073,0.000006212014,0.000003183889,0.0000252913,0.00002373695,0.00003427269],"domain_scores_gemma":[0.9999384,0.000005675477,0.00001432978,0.000004943568,0.00002635565,0.00001040149],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003547271,0.00005946232,0.006154806,0.0003210713,0.00005914685,0.0003982706,0.0008710921,0.001812712,0.8979616,0.03953836,0.002677721,0.0497909],"study_design_scores_gemma":[0.00005233808,0.0003023065,0.01826339,0.00007831502,0.0001500639,0.0009186772,0.002605889,0.005972761,0.8197005,0.02194384,0.1299396,0.00007227733],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9157976,0.002534871,0.0202124,0.001072975,0.0003900453,0.00005829423,0.0002830048,0.0002684475,0.05938231],"genre_scores_gemma":[0.9693208,0.0008794748,0.005750557,0.0002468773,0.00002444172,0.00003807073,0.0001400892,0.00005256452,0.02354711],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00374588,"threshold_uncertainty_score":0.01253122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005758029993372921,"score_gpt":0.1884376878777382,"score_spread":0.1826796578843653,"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."}}