{"id":"W2379100000","doi":"","title":"Synthesis of ZP 3 Gene with Plant-optimized Codons","year":2009,"lang":"en","type":"article","venue":"Seed","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Gene; Complementary DNA; Genetics; Biology; DNA; DNA sequencing; Sequence (biology); Molecular biology; Computational 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":[0.000269539,0.0006876935,0.0005041634,0.000528243,0.0003673492,0.0002741649,0.0004428266,0.0003682014,0.004251158],"category_scores_gemma":[0.0002707039,0.000437024,0.0005921114,0.0003465612,0.0003363744,0.0002115368,0.0004543794,0.001280854,0.003126478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006868771,"about_ca_system_score_gemma":0.0008946579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007490523,"about_ca_topic_score_gemma":0.001195239,"domain_scores_codex":[0.9998212,0.00001978067,0.00001484464,0.00005478494,0.00005306456,0.00003629471],"domain_scores_gemma":[0.9998252,0.00003052623,0.00003315045,0.00003118321,0.0000393829,0.000040652],"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":[0.00005684579,0.00001364408,0.00007334907,0.00005112671,0.000003635056,0.00004878675,0.00002616018,0.00009711975,0.9971803,0.0005609882,0.0001527822,0.001735275],"study_design_scores_gemma":[0.00008637673,0.000241948,0.002664195,0.00003987342,0.00006361136,0.0004504953,0.0000364089,0.001909898,0.9503472,0.0005446498,0.04358741,0.0000280018],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6220602,0.002646983,0.3414638,0.0008466417,0.0006480113,0.001623819,0.01533874,0.002922175,0.01244956],"genre_scores_gemma":[0.6788597,0.002384965,0.2433223,0.0005649499,0.0001051151,0.000948313,0.04320386,0.001255379,0.02935552],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004251158,"threshold_uncertainty_score":0.01422155,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01094091081792265,"score_gpt":0.2445567314319485,"score_spread":0.2336158206140259,"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."}}