{"id":"W4214554749","doi":"10.5376/bm.2022.13.0002","title":"Construction of Rice &lt;i&gt;OsSUTs&lt;/i&gt; Gene Knockout Lines Using","year":2022,"lang":"en","type":"article","venue":"Bioscience Methods","topic":"Plant nutrient uptake and metabolism","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Genetically modified rice; Gene; CRISPR; Transgene; Sucrose; Starch; Gene knockout; Function (biology); Chemistry; Genetically modified crops; Biology; Computational biology; Biotechnology; Biochemistry; Genetics","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":[0.0004097315,0.0007042684,0.0005718466,0.0006291766,0.0004101307,0.0003547934,0.0009516063,0.0004818998,0.003039348],"category_scores_gemma":[0.0002121516,0.0005102509,0.000584852,0.000609847,0.000618612,0.0003751944,0.0006364147,0.001124704,0.00150758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004550519,"about_ca_system_score_gemma":0.0005497128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001852938,"about_ca_topic_score_gemma":0.003134928,"domain_scores_codex":[0.9997208,0.00002693541,0.0000494873,0.00008049206,0.00007915691,0.00004318331],"domain_scores_gemma":[0.9997692,0.00002766843,0.00007946739,0.00003455801,0.00002640412,0.00006271083],"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":[0.00008369989,0.00002676168,0.0001969274,0.00009181778,0.00001106823,0.0001514135,0.00006704873,0.0001274109,0.996229,0.0006720172,0.0002278608,0.002115052],"study_design_scores_gemma":[0.0001129542,0.0002176811,0.00605679,0.00003345219,0.0001210556,0.000710017,0.0001509207,0.00339846,0.9642361,0.0004136117,0.02450529,0.00004365301],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8030941,0.001401569,0.1660422,0.0006392351,0.0003934091,0.001016583,0.01312992,0.002772623,0.01151037],"genre_scores_gemma":[0.8418442,0.002155191,0.09406655,0.0004051652,0.0000494503,0.001637317,0.01726153,0.001410562,0.04116997],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003039348,"threshold_uncertainty_score":0.01016766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05585248539977176,"score_gpt":0.3042681498658877,"score_spread":0.2484156644661159,"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."}}