{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004254074,0.000388963,0.0003308583,0.0000420711,0.00008696696,0.00003893538,0.0006931887,0.000275786,0.00005380185],"category_scores_gemma":[0.0002852371,0.0003188114,0.0002570225,0.00007551525,0.00003431576,0.000005294699,0.001097442,0.0004528481,0.00004240199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006465354,"about_ca_system_score_gemma":0.00008011379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003146908,"about_ca_topic_score_gemma":0.00003242419,"domain_scores_codex":[0.9978129,0.00006426738,0.0005069667,0.0009218552,0.00024295,0.0004510976],"domain_scores_gemma":[0.998894,0.0000329892,0.000168775,0.0007704715,0.00007685687,0.00005689964],"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":[0.0001759432,0.00015774,0.00975785,0.0006908648,0.0002708721,0.00002237922,0.002390903,0.02095086,0.9633659,0.0002704984,0.001042322,0.0009038934],"study_design_scores_gemma":[0.002243513,0.0003388883,0.2196678,0.0002704376,0.0002148232,0.00005025158,0.002462866,0.001250848,0.5807382,0.0005079925,0.1905433,0.001711113],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9826499,0.0006194037,0.01233291,0.0009238176,0.0006386374,0.001759988,0.000306467,0.00004120993,0.0007277033],"genre_scores_gemma":[0.9949229,0.0002880515,0.0009646355,0.0003193108,0.001302869,0.0008425888,0.001136188,0.0000389381,0.0001845012],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3826277,"threshold_uncertainty_score":0.9999264,"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."}}