{"id":"W3151189427","doi":"","title":"Gene Discovery and Characterization from Non-sequenced Medicinal Plants","year":2007,"lang":"en","type":"article","venue":"分子植物育种","topic":"Transgenic Plants and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Gene; Genetics; Biology; Computational biology; Evolutionary 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007071623,0.00006600296,0.00006006694,0.00001356691,0.00004416544,0.00001397592,0.00006080072,0.00006550495,0.000007082486],"category_scores_gemma":[0.000003236566,0.00005814288,0.00001516035,0.00002179333,0.00003543058,0.000004447204,0.00001721951,0.00003377902,0.000004788569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003147948,"about_ca_system_score_gemma":0.00001639602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003624567,"about_ca_topic_score_gemma":0.00004798276,"domain_scores_codex":[0.9995506,0.000005639032,0.00009820432,0.0001757083,0.00005669669,0.0001131044],"domain_scores_gemma":[0.9997828,0.000006614311,0.00003058364,0.0001202257,0.00000887467,0.0000509084],"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":[0.00002255711,0.000012782,0.00313296,0.000001529578,0.00001232301,0.000002642095,0.00002746224,4.150919e-7,0.9895694,0.00001767515,0.00005168293,0.007148573],"study_design_scores_gemma":[0.0002945866,0.00002844936,0.3549977,0.000006837684,0.000008294202,0.000009030673,0.00001968765,0.00001047583,0.6391911,0.00004670754,0.005300388,0.00008671581],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9580898,0.0001115092,0.04086115,0.00007486719,0.00006033571,0.00007279356,0.0002674123,0.000006178507,0.0004559014],"genre_scores_gemma":[0.9970508,0.0002129025,0.000425471,0.0002063596,0.0002811899,0.000004939362,0.001618074,0.000006853056,0.0001933606],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3518648,"threshold_uncertainty_score":0.2370998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007334266950567727,"score_gpt":0.2349541879512897,"score_spread":0.227619921000722,"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."}}