{"id":"W3126007989","doi":"10.20944/preprints202007.0578.v1","title":"CRISPR-Cas12a (Cpf1): A Versatile Tool in the Plant Genome Editing Tool Box for Agricultural Advancement","year":2020,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Biotechnology Research Institute","funders":"","keywords":"CRISPR; Genome editing; Cas9; Computational biology; Biology; Genome; Guide RNA; Genetics; Computer science; Biotechnology; Gene","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":[0.0007739009,0.000949299,0.0009951413,0.001331096,0.0006592108,0.001392698,0.001486174,0.001561037,0.007883215],"category_scores_gemma":[0.0007290127,0.0006024816,0.0009273403,0.0009882988,0.000693135,0.001041636,0.001316909,0.00318085,0.007830842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000530302,"about_ca_system_score_gemma":0.0007541993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005748327,"about_ca_topic_score_gemma":0.0005607238,"domain_scores_codex":[0.9992778,0.00008281647,0.0000560853,0.0001553477,0.0003705522,0.00005737613],"domain_scores_gemma":[0.9996785,0.00007656522,0.00007318854,0.00004534064,0.0000507458,0.00007569305],"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":[0.0003585099,0.00008281257,0.0003782949,0.001574738,0.00007867681,0.000554154,0.000127569,0.001256172,0.6437892,0.01404265,0.05832765,0.2794295],"study_design_scores_gemma":[0.00009088461,0.0002433472,0.0007437195,0.0002584909,0.00007221037,0.002067687,0.00003498338,0.004682553,0.3076973,0.003651402,0.680357,0.00010044],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03758214,0.04960218,0.7864426,0.00601633,0.003302971,0.001200946,0.01117125,0.06086395,0.04381767],"genre_scores_gemma":[0.1775441,0.04740943,0.6695657,0.003164675,0.0007330524,0.002101496,0.01400649,0.003606196,0.08186883],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007883215,"threshold_uncertainty_score":0.02637202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05930493480565631,"score_gpt":0.3393098837507715,"score_spread":0.2800049489451152,"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."}}