{"id":"W4390534652","doi":"10.1007/s13237-023-00462-2","title":"A birds-eye-view on CRISPR-Cas system in agriculture","year":2024,"lang":"en","type":"article","venue":"The Nucleus","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada","keywords":"CRISPR; Genome editing; Agriculture; Translational research; Biotechnology; Biology; Computer science; Genetics; Ecology; Gene","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0001249397,0.0001148278,0.00008861403,0.00002603623,0.00003276977,0.00003953864,0.0001555863,0.00008309482,0.000008973355],"category_scores_gemma":[0.00001213014,0.00007006307,0.00006513108,0.0001230432,0.00001616546,0.000001137525,0.00005074808,0.0001184598,0.0001117029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002196719,"about_ca_system_score_gemma":0.00001303037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002531274,"about_ca_topic_score_gemma":0.00002899833,"domain_scores_codex":[0.9994075,0.00002528925,0.0001137124,0.0002052248,0.00008036607,0.0001678572],"domain_scores_gemma":[0.9996915,0.000009193355,0.00001020992,0.0002440602,0.00001165482,0.00003331228],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005065602,0.00006039766,0.0001721005,0.0005231116,0.000112776,0.0001048138,0.0007102052,0.003561911,0.9401705,0.003850106,0.03042259,0.02026084],"study_design_scores_gemma":[0.0003207536,0.0002267086,0.003949624,0.0004279811,0.00004095241,0.0000902568,0.0005291888,0.001432917,0.241325,0.0000451013,0.7512655,0.0003459529],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9650589,0.01831919,0.001944505,0.00108339,0.001069982,0.0004040796,0.00003372936,0.0001609416,0.0119253],"genre_scores_gemma":[0.9983888,0.0002363904,0.00005581778,0.0001316815,0.0003124299,0.00001886945,0.000009719681,0.00002245604,0.0008238475],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.720843,"threshold_uncertainty_score":0.2857089,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006105490350335066,"score_gpt":0.2781050213438199,"score_spread":0.2719995309934848,"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."}}