{"id":"W3148010993","doi":"","title":"Comparative Genomics for Gene Isolation in Legumes","year":2007,"lang":"en","type":"article","venue":"分子植物育种","topic":"Genetically Modified Organisms Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Genomics; Biology; Genetics; Gene; Isolation (microbiology); Comparative genomics; Computational biology; Biotechnology; Genome; Bioinformatics","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":[0.0008971167,0.0004724615,0.0006476482,0.001189326,0.0007489238,0.0008278839,0.001320688,0.0005964951,0.002690736],"category_scores_gemma":[0.0005573656,0.0005220825,0.0008102078,0.0009517531,0.0009618102,0.0008647243,0.0007013524,0.002414731,0.0009193477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001207885,"about_ca_system_score_gemma":0.0005407357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002638715,"about_ca_topic_score_gemma":0.003993475,"domain_scores_codex":[0.9996123,0.0001360911,0.00002066912,0.00009293377,0.00007982244,0.00005832498],"domain_scores_gemma":[0.9995988,0.000222959,0.0000318872,0.00007174368,0.00002499385,0.00004961187],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002032191,0.0000345329,0.0001938751,0.0001759401,0.00002392307,0.00006508493,0.00008480866,0.000216571,0.9840943,0.004916174,0.0002214208,0.00977012],"study_design_scores_gemma":[0.0002520335,0.0008012474,0.01794753,0.0001539945,0.0002507191,0.001766915,0.0003335499,0.003295227,0.8847092,0.01336101,0.07704963,0.00007883607],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5271312,0.04520665,0.3948643,0.002986615,0.0006382926,0.0006669703,0.00277503,0.001021871,0.02470915],"genre_scores_gemma":[0.6928938,0.01883064,0.2650563,0.001667713,0.0002608146,0.0006722494,0.009139583,0.0006569314,0.01082197],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002690736,"threshold_uncertainty_score":0.009001374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0697019886242655,"score_gpt":0.3062700257818829,"score_spread":0.2365680371576174,"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."}}