{"id":"W2391023158","doi":"","title":"Application of in silico cloning technique in plant gene engineering","year":2006,"lang":"en","type":"article","venue":"Dongbei Nongye Daxue xuebao","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Science North","funders":"","keywords":"In silico; Cloning (programming); Computational biology; Gene; Molecular cloning; Biology; Genome engineering; Genome; Genetics; Computer science; Bioinformatics; Genome editing; Gene expression; Programming language","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001354015,0.0009724897,0.001694194,0.001639794,0.000763173,0.001662797,0.001091672,0.0007132834,0.001750417],"category_scores_gemma":[0.001307491,0.0007845893,0.001261796,0.00157037,0.0005173856,0.001340926,0.0008448871,0.001646267,0.001456383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005792602,"about_ca_system_score_gemma":0.000716073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007374282,"about_ca_topic_score_gemma":0.0004617769,"domain_scores_codex":[0.9983412,0.0005470319,0.0001649946,0.0003341073,0.0005173263,0.00009530634],"domain_scores_gemma":[0.9994209,0.0002691417,0.00005940671,0.0000963584,0.0001208745,0.00003323654],"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":[0.0003197134,0.0002451708,0.002525497,0.002132666,0.0002367459,0.001055436,0.000525101,0.005236945,0.8320002,0.01549571,0.003188175,0.1370387],"study_design_scores_gemma":[0.00007500571,0.0003547352,0.001777003,0.000178907,0.0003784804,0.003751171,0.0001838333,0.02250177,0.8348364,0.006510491,0.1293542,0.00009799583],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04930705,0.01043106,0.9283214,0.001171316,0.0005566422,0.0002434704,0.000871149,0.002063098,0.007034849],"genre_scores_gemma":[0.2590713,0.02929769,0.6978219,0.0008210036,0.0002591833,0.0003403342,0.004502143,0.0005426277,0.007343857],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001750417,"threshold_uncertainty_score":0.007160783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005478006558417762,"score_gpt":0.2361390352961096,"score_spread":0.2306610287376918,"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."}}